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1
Zainuddin, Zainuddin. "Kekuatan Pasar (Market Power) dan Pangsa Ekspor Produk Ban (HS4011) Indonesia dan Negara Pesaing di Malaysia dan Filipina." Ekonomis: Journal of Economics and Business 4, no. 2 (September 1, 2020): 257. http://dx.doi.org/10.33087/ekonomis.v4i2.148.
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The exporters of Indonesian and Thailand tire products have the same capability in price mark-ups in the Malaysian market. The price mark-up capability of tire exporters from Indonesia, Thailand and China is greater than the domestic tire industry in the Philippines. However, China has a greater share of tire exports in the Malaysian and Philippine markets and is likely related to China's ability to be able to increase the export composition of various types of tires. Indonesia needs to encourage the domestic tire industry to increase the production capacity of various types of tires through investment and relocation of the tire industry to Indonesia amid the downward trend in China's manufacturing industry. Need to develop tire products for the types of trucks, buses, tractors and heavy equipment that are often used in the construction, agriculture, mining and cargo transportation ports to enlarge market share in Malaysia and the Philippines because Indonesia has competitiveness from the aspect of raw materials. The potential export of various types of tires in the two export destination countries is a challenge to increase the number of exports of Indonesian tire products.
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DJANKOU, TCHOUTAT Lionel, and Vincenzo ALBONICO. "EMERGENCY RELOCATION OF A CARDIO - SURGICAL HEALTH FACILITY DUE TO WAR." Global Clinical Engineering Journal 2 (April 17, 2020): 39–49. http://dx.doi.org/10.31354/globalce.v2i.88.
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This article seeks to share our experience on the consequences of a poorly managed conflict and its impact on a healthcare institution. We further try to talk on what it takes to relocate, especially such a vital sector like cardiac surgery amidst the socio-economic and socio-political context in which the hospital happens to be situated. Bearing in mind that the promptness of a patient’s recovery in a healthcare facility depends immensely on how accurate the engineers were during the design and construction phase, how precise international standards are implemented in the various engineering sectors of the hospital is of capital importance. Following the Cameroonian mind set, wherein division of labor and meritocracy are usually far fetch realities, it is therefore of prime importance to choose experienced and qualified contractors, architects, project managers to take part in the implementation of healthcare projects. The process of relocating either temporarily or permanently some health services from a crisis stricken zone to a safer environment also demands a lot of tactfulness in decision making as well as personnel involvement. All personnels from the various sectors being relocated must work closely with the team leader such that all necessary equipment, consumables, surgical materials are put together in order to simplify logistics and even safeguard the logistical process.
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Ter-Saakova, I. M., N. I. Podalyakina, and V. A. Khodakovsky. "INFLUENCE OF FAILURE-FREE OPERATION LEVEL ON COSTS RELATED TO PRODUCTION AND GUARANTEE SERVICE OF INNOVATIVE PRODUCTS." Civil Aviation High TECHNOLOGIES 21, no. 3 (July 3, 2018): 115–24. http://dx.doi.org/10.26467/2079-0619-2018-21-3-115-124.
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Basis of market of national consumption is presently formed by non-redundant products. Reliability of these devices is wholly determined by the level of failure-free operation of their constituents. With the industrial products of the non-domestic use redundancy both in the repaired and non-repaired equipment is used on different levels: redundancy at the level of components, blocks and units on the whole, and also at the level of elements (deep fractional redundancy).To make a forecast on the share of products that fail during operation, one can know the probability of failure-free operation of the product for a certain time. The article gives the indicator of the probability of failure-free operation of the product – a quantifiable estimated value, which is calculated as the ratio of the undisclosed number of products to their total number. The graph characterizing the changes in the probability of failure-free operation of the products is given. It is assumed that the probability of failure-free operation of articles varies exponentially. The construction of an economic model based on the category of fail-safe products is considered. This model is built taking into account the condition that the product guarantees issued by the manufacturer should be correlated with the number of possible failures of the products during this time. The conclusion is made that the product reliability category is the only category of risk assessment of the manufacturer on the market when issuing guarantees for its products. The assumption is made that the price of improving the reliability can be different and depends on many circumstances, but always increase of the product reliability is associated with an increase of its cost. The problem is solved, due to the fact that some of the products supplied by the manufacturer to the market will fail. Thus, it is necessary to know the proportion of failed products, which is determined by the quality of manufacture and reliability of the product put in the process of its design and production. The graph of the dependence of the total costs for the production and operation of innovative products on the probability of their trouble-free operation is given. The main advantages of the proposed economic model are formulated.
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Yermuraki, O. I., and A. S. Rusol. "THE TENDENCY TO USE ADAPTIVE SPACE AS A FEATURE OF POST-INDUSTRIAL SOCIETY." Regional problems of architecture and urban planning, no. 14 (December 29, 2020): 96–105. http://dx.doi.org/10.31650/2707-403x-2020-14-96-105.
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The article discusses the technologies and methods for creating universal environment, features of their use and their possibilities of functional extension placement by limited area. The analysis of world experience (Leonardo da Vinci, Galileo Galilei, Robert Fulton, Nikola Tesla, Joan Littlewood, Cederic Price, Larry Bell, Craig Kauffman, Peter Alexander, Mies van Dral Roeta Lille Reich, Dieter Rams). The light effecting on the proportions of the placement. For example of such groups like: Lightand Space, Aqua Creations, Manta Ray Light. The lighting system allows you to add dynamics into the space, expressiveness or isolation. Created an environment which would be change for human need. Use sliding partitions - screens, for example Popup Interactive Apartment is represented by Hyperbody design team from DelftUniversity of Technology. Authors idea is to place all placemant in a room with area of 50 square meters (smart technology) - where you can move not only partitions, but also furniture, which can suit specific human needs. The curtains were expertly fitted into the interior of the Samt & Seide cafe by architects Mies van der Roet Lilly Reich, which was designed for Die Modeder Dame exhibition in Berlin. A space with 300 square meters was zoned with using silk and velvet curtains, which were divided according to their color and height. Examples of flexible space are WAarchi's architectural project: architects have successfully rethought the space of the first building of Taiwan's Chiao Tung University construction school. Also, the article outlines prospect development of adaptive design on architecture and historical background, show the results of the analysis of questions adaptive spaces in the context modern development of society. Studding thematic publications gave it possible to highlighting the main tools dimensional zoning in interior design. Often used by architects and designers: work with light (own lighting, navigation, and communication with the observer); sliding partitions (take up less space in placement and can be transform); color and material (divide space on functional zone); kinetic elements of equipment, which can change their position in space or shape/ Describe the areas of their used on based for examples from world architectural practice, provide them the grade.
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Ponnaluru, Srinivasa S., Thomas L. Marsh, and Michael Brady. "Spatial price analysis of used construction equipment: the case of excavators." Construction Management and Economics 30, no. 11 (November 2012): 981–94. http://dx.doi.org/10.1080/01446193.2012.723129.
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Sujati, Lisya, and Sparta Sparta. "Analisis Pengaruh Earnings Per Share (EPS), Price Earnings Ratio (PER), Return On Equity (ROE) Dan Return On Assets (ROA) Terhadap Harga Saham." Jurnal ULTIMA Accounting 5, no. 1 (June 1, 2013): 77–93. http://dx.doi.org/10.31937/akuntansi.v5i1.143.
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This research is intended to determine the effect of Earnings Per Share (EPS), Price Earnings Ratio (PER), Return on Equity (ROE) and Return on Assets (ROA) towards share price property, real estate and building construction companies within period 2009- 2011. From 33 companies that listed at Indonesia Stock Exchange for period 2009 – 2011, 32 companies had been selected as the samples for this research using purposive sampling method. This research uses direct method to determine the relationship between the dependent and independent variables. The statistic method being used is multiple linear regression. The result indicates that (1) EPS has significant effects towards share price (2) PER has significant effects towards share price (3) ROE has significant effects towards share price (4) ROA has not significant effects towards share price
Keywords: Earnings Per Share, Price Earnings Ratio, Return On Equity, Return OnAssets and Stock Price
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Gomathi, M., and Dr S. Nirmala. "Analysis of Nifty Movement on Share Prices of Selected Construction Companies." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 1, no. 3 (September 27, 2012): 59–65. http://dx.doi.org/10.24297/ijmit.v1i3.1421.
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This study aims at analyzing and predicting the price movements of construction companies stocks contributing to the NIFTY50 Index. To analyze the volatility of telecom stock and understand the behavior of stock prices in construction sector stocks i.e. (JP ASSOCIATES LIMITED, DLF LIMITED, GAMMON INDIA LIMITED, PUNJ LLOYD LIMITED, HCC LIMITED). The data for these stocks are collected from magazines, newspaper and websites. The stocks are analyzed by monitoring their respective price movements using technical tools. The technical tools used in this study are Exponential moving average, Relative strength index, Rate of change, MACD. Using these tools the trend over the recent past was deciphered. The expected trend in the immediate future was also predicted. Technical Analysis studies the price and volume movement in the market and predicts the future. It helps in identifying that the best time to buy and sell equity. Technical Analysis is a method of evaluating equities by analyzing the statistics generated by market activity, such as past prices and volume.
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Malina, Shofi, I. Gede Arimbawa, and Ani Wulandari. "The Effect of Return On Assets and Return On Equity To Earning Per Share and Price Book Value In Sub-Sectors of Construction Companies Listed In Indonesia Stock Exchange In 2015-2018." Quantitative Economics and Management Studies 1, no. 3 (June 11, 2020): 204–18. http://dx.doi.org/10.35877/454ri.qems87.
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The purpose of the research is to analyze the effect of return on assets and return on equity on earnings per share and price book value in building construction sub sector companies listed on the Indonesia Stock Exchange in 2015-2018. The population of this research was the building construction companies listed on the Indonesia Stock Exchange during 2015-2018. The sample used was 10 construction companies with a purposive sampling method. Data collection techniques used in the documentation were in the form of secondary data and library research. The analysis was using path analysis. It was revealed that the return on assets has a significant negative effect and return on equity have a significant positive effect on earnings per share. While return on equity has a significant positive effect and earnings per share has a significant negative impact on price book value. However, return on assets does not have a significant effect on price book value.
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Malina, Shofi, I. Gede Arimbawa, and Ani Wulandari. "The Effect of Return On Assets and Return On Equity To Earning Per Share and Price Book Value In Sub-Sectors of Construction Companies Listed In Indonesia Stock Exchange In 2015-2018." Quantitative Economics and Management Studies 1, no. 3 (June 11, 2020): 204–18. http://dx.doi.org/10.35877/454ri.qems87.
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The purpose of the research is to analyze the effect of return on assets and return on equity on earnings per share and price book value in building construction sub sector companies listed on the Indonesia Stock Exchange in 2015-2018. The population of this research was the building construction companies listed on the Indonesia Stock Exchange during 2015-2018. The sample used was 10 construction companies with a purposive sampling method. Data collection techniques used in the documentation were in the form of secondary data and library research. The analysis was using path analysis. It was revealed that the return on assets has a significant negative effect and return on equity have a significant positive effect on earnings per share. While return on equity has a significant positive effect and earnings per share has a significant negative impact on price book value. However, return on assets does not have a significant effect on price book value.
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NAZARENKO, Y. A. "METHODOLOGICAL PRINCIPLES OF EVALUATION OF CAPITALIZATION OF ENTERPRISES OF UKRAINE BASED ON THE COST (INVESTMENT) APPROACH." Economic innovations 21, no. 1(70) (March 20, 2019): 113–21. http://dx.doi.org/10.31520/ei.2019.21.1(70).113-121.
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Topicality. The increase in the level of capitalization of the economy is of strategic importance to Ukraine, because, firstly, there is a direct link between capitalization and competitiveness, and secondly, because the market transformation in Ukraine is inherently capitalization of the economy. All this necessitates the further study of the theoretical and methodological principles of capitalization of enterprises of the country as a whole and by types of activity. Aim and tasks. To consider the methodical principles of estimating capitalization of enterprises on the basis of cost (investment) approach and to evaluate it by types of activity for Ukrainian enterprises at actual and constant prices. Research results. An assessment of the real capitalization of enterprises as a state can be considered as a "passive" assessment and it can be implemented even if the enterprise does not work. Such an assessment has a limited scope and should be used for enterprises whose activities are based on the use of fixed assets (machines, equipment, buildings, etc.), in which the results of the production process depends not only on the available intellectual capital, but on the available physical capital, and where there are no significant intangible assets. At the same time, the use of a cost-effective approach to enterprises that are based on education, knowledge and skills of staff (companies engaged in consulting and software development, retail and distribution companies, real estate agencies, travel agencies, etc.) do not provide adequate an idea of the level of their capitalization. Accounting of assets of the enterprise in the balance sheet is carried out at the original cost. Exceptions are fixed assets, accounting for the original and residual value. Over time, such an assessment as a result of inflation, non-revaluation and other factors does not reflect the actual (actual) value of assets. Therefore, it is more appropriate to use the replacement value or the replacement value, which should be used to reproduce the same or create a similar asset. The growth in the residual value of fixed assets of Ukrainian enterprises in 2012-2017 is due to two factors: net income of fixed assets (the difference between the amount of fixed assets received and which have left); indexing In general, in Ukraine the growth of residual value of fixed assets of enterprises in actual prices is mainly due to their indexation (77 %). At the same time, in agriculture and trade, the main role played by the receipt of fixed assets, and in the transport sector, the residual value of fixed assets in enterprises at actual prices is almost 100 % due to their indexation. Negative trends occurred in relation to the share of own capital of enterprises of Ukraine, which decreased from 51.6 % in 2001 to 24.7 % in 2017. The same thing happened in agriculture and industry, and in construction and trade, it even got negative values. An analysis of the dynamics of assets of Ukrainian enterprises in the prices of 2012 indicates a tendency to reduce their value. In 2017, their value amounted to 93.5 % of the level in 2012, in industry - 93.1 % and in transport - 96.2 %. In trade and construction, the reduction was more significant and amounted to more than 20 %. A completely different situation was in agriculture, where in the period of 2012-2017 the assets of enterprises increased by more than 1.5 times. Conclusion. The assessment in actual prices reflects the current level of capitalization of enterprises. At the same time, due to inflation, the average level of which in 2014-2017 was about 20 %, makes it impossible to compare capitalization estimates for different years. In order to solve this problem, the evaluation of capitalization at constant prices was carried out, which showed that there was a decrease in the level of capitalization of enterprises in general in the country and in the main types of activity, the exception was agriculture, where the level of capitalization of enterprises increased more than 1.5 times. All this testifies to the negative processes in the country's economy, namely, the deindustrialization and domination of the raw materials industries.
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Harjuna, Zhammuel Nobel. "Effect of Profitability, Liquidity, and Dividends Per Share on Share Prices of Construction Companies Listed on The Indonesia Stock Exchange Period 2015 – 2019." Quantitative Economics and Management Studies 1, no. 4 (November 18, 2020): 275–90. http://dx.doi.org/10.35877/454ri.qems212.
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The purpose of this research is to find out if the return of assets, current ratio, and dividends per share affects the Share Price. This research uses a quantitative approach. Sampling is done with purposive sampling techniques and selected as many as 9 companies that can be researched. The data in this study comes from secondary data obtained through IDX. The results of this study can be concluded that there is a significant influence between Return Of Assets, Current Ratio, and Dividends Per Share on the Share Price. In addition, hypothesis testing in this study used Multiple Linear Regression. The result of this study: the partial results show that Return On Assets (X1), Current Ratio (X2), Dividends Per Share (X3) have significant positive effect on the Share Price (Y).
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Nor Edi Azhar Mohamad, Noriza Mohd Saad,. "Detection on Momentous Robust Impact of Stock Price among All Sectors in Bursa Malaysia towards COVID-19 Pandemic Daily Announcement News." Psychology and Education Journal 58, no. 1 (January 15, 2021): 3917–23. http://dx.doi.org/10.17762/pae.v58i1.1432.
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There is twofold of the study aim: (1) To investigate the reaction trends of stock price in Main Market towards COVID-19 spreads in Malaysia. (2) To investigate the relationship between share price with number of confirmed case of COVID-19 in Malaysia.
This study was tested the reaction of share price based on event study approach and investigate the relationship between share price and COVID-19 using multiple regression approach. Therefore, random effect robust regression model was applied to tackle the dynamic changes in price of stock since the movement is based on daily basis. In Overall, the finding shows that more than half of the sectors’ share price are significant as shown by panel A and have a relationship towards the number of COVID cases for instance, construction, consumer product and services, energy, industrial products & services, property, technology, telecommunication & media and transportation & logistic sector with all indicate negatively association. Meaning that, the higher the number of COVID cases, the lower the share price performance.
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Karthikeyan, P., and S. Dinesh Kumar. "Equity Share Price Behaviour of Selected Companies with Reference to Construction Industries in NSE." IRA-International Journal of Management & Social Sciences (ISSN 2455-2267) 4, no. 2 (September 10, 2016): 464. http://dx.doi.org/10.21013/jmss.v4.n2.p16.
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<div><p><em>Stock market plays a vital role in the economic development of every country whereas there are various factors affecting its performance directly and indirectly. Government of India launched new program recently called Make in India. Under this scheme investment of USD 1 Trillion has been projected for the infrastructure sector until 2017, 40% of which is to be funded by the private sector. 45% of infrastructure investment will be directed through a narrow space into construction activity and 20% set to modernize the construction industry. Based on this above projection from the government, Investors can expect the direct or indirect impact in the share price of construction industries in India. Based on the fact, decided to choose the construction company for this study and the study is to find out the share price behavior analysis for selected company under construction sector which</em><em> is listed in NSE using simple statistical analysis like Simple moving average and Trend analysis.</em></p></div>
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Fadjar Purnomo, Muhammad Fajar Subkhan, Andrea Saputra Antang Pratama,. "ANALISA PENGGUNAAN ALAT BERAT PROYEK PEMBANGUNAN UNDERPASS SIMPANG DEWA RUCI DENPASAR, BALI." PROKONS Jurusan Teknik Sipil 8, no. 2 (August 31, 2014): 111. http://dx.doi.org/10.33795/prokons.v8i2.67.
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400 m long and 16 m wide Simpang Dewa Ruci underpass construction project is a new one in Bali. It is of drilled pile system which need heavy equipment for drilling.The purpose of this study is to find out the unit price of some heavy equipment, like drill pile, excavator back hoe, dump truck, wheel dozer, tandem vibratory roller, asphalt finisher, and pneumatic tire roller.The calculations result in unit price of job the drill with drill pile at IDR 93,921.79/m3, unit price of job entrenchment and soil moving with excavator back hoe at IDR 14,656.22/m3, unit price earth moving work with dump truck at IDR 38,324.82/m3, unit price leveling congeries with whell dozer at IDR 2,644.87/m3, unit price soil compaction and asphalt compaction with tandem vibratory roller at IDR 4,034.93/m3, unit price of the spreading asphalt with asphalt finisher at IDR 34,637.50/m3, and unit price asphalt compaction with pneumatic tire roller at IDR 13,478.42/m3.Keywords: capacity, heavy equipment, productivity, unit price, use
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Feng, Chen. "Construction and Research of Cloud Platform of College Computer Room Based on Private Cloud Computing Mode." Advanced Materials Research 756-759 (September 2013): 1921–24. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1921.
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There are problems like high operation and maintenance cost, equipment costly, resources redundant construction and information difficult to share in the college computer rooms. It is proposed to introduce the most advanced Cloud Computing Technology to the construction of the college computer room cloud platform based on private Cloud Computing Model can solve these problems effectively.
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Atnaw, Samson Mekbib, Lakhveer Singh, Ftwi Yohaness Hagos, and Abu Yousuf. "Road Construction Equipment Management: A Case Study on Selected Industry." International Journal of Engineering Technology and Sciences 3, no. 1 (June 30, 2016): 91–97. http://dx.doi.org/10.15282/ijets.5.2016.1.11.1050.
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The major share of capital and equipment intensive operation goes to the road sector and the hydro – electric power projects. The construction sector in Ethiopia is developing at a fast rate and its capital budget is increasing from year to year. One of the reasons for this high growth is the number of new construction projects underway and those in the pipeline. In addition, the hydro-electric power projects the government has given a great emphasis to increase the current installed power of 780Mw to a total of 10,000Mw in the coming few years. These hydro-power projects are known for using a great deal of high investment heavy machineries. Therefore, the construction equipment management plays a great role in finalizing the projects with fewer budgets and no time over run. Considering the higher operation, maintenance and investment cost of construction equipment, it is important to have a carefully optimized decision making model that will help in the sizing and selection of the right combination of equipment for a given project. Even the rental versus purchase evaluation needs careful consideration of the project requirement and its duration. This study tries to analyze the existing situation taking a selected company as a case study with regard to construction equipment management. The study tries to cover the equipment management policy of the company, suppliers/manufacturers evaluation and selection criteria, types of purchase processes employed, as well as different make types and capacities of equipment owned by the company. Moreover, capacities of standard facilities available for the central maintenance workshop and replacement plan of equipment of the company in the coming five years will be investigated and commented on.
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MOLCHANOVA, S. M., and A. P. DROZDOVA. "FEATURES OF SERVICE OF LEASING EQUIPMENT OF INDUSTRIAL ENTERPRISES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2, no. 5 (2020): 37–43. http://dx.doi.org/10.36871/ek.up.p.r.2020.05.02.006.
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The article substantiates the need to use leasing in industrial plants using sophisticated equipment. The essence of the optimal service strategy, the structural dependence of a multi-element system, life cycle cost estimation methods and decision-making methods in the construction industry are disclosed. The necessity of developing a leasing strategy under conditions of an uncertain period of use and price fluctuations to minimize the cost of using equipment and an optimal service policy for extending the lease term was emphasized. Slow renewal of the active part of the fixed assets of construction organizations, a high level of depreciation of fixed assets and the need for their modernization using leasing tools and state support were noted.
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Chandra, Cindy Novita, and Maria Stefani Osesoga. "ANALYSIS ON FACTORS THAT AFFECT STOCK PRICE: A STUDY ON PROPERTY, REAL ESTATE, AND BUILDING CONSTRUCTION COMPANIES AT INDONESIA STOCK EXCHANGE." Ultimaccounting : Jurnal Ilmu Akuntansi 13, no. 1 (June 30, 2021): 32–45. http://dx.doi.org/10.31937/akuntansi.v13i1.1933.
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Abstract— This study expects to determine the impact of Earnings Per Share (EPS), Current Ratio, Return On Asset (ROA), and Debt to Equity Ratio (DER) towards stock price of property and real estate firms. The samples consist of 37 property, real estate and building construction companies that were listed in Indonesia Stock Exchange period 2017–2019. Samples criteria were: listed on Indonesian Stock Exchange during 2017–2019; did not suspend by Indonesian Stock Exchange; published financial statements during 2017 – 2019; had closing date on December 31th, using Rupiah as reporting currency and published audited financial statement; have positive income; and did not do share splits and stock reverse during 2017 – 2019. The data was analysed by using multiple regression method. The result of this study are: EPS has positive significant impact to stock price, Current Ratio has no positive impact to stock price, while ROA and DER have negative significant impact to stock price. All the independent variables had significant impact on stock price simultaneously.
Keywords: Current Ratio; DER; EPS; ROA; Stock Price
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Repin, Sergey, and Sergey Evtjukov. "Renewal Methods of Construction Machinery According to Technical and Economic Indicators." Applied Mechanics and Materials 725-726 (January 2015): 990–95. http://dx.doi.org/10.4028/www.scientific.net/amm.725-726.990.
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This article presents the results of an investigation for a new method to form sets of construction machinery. The model for optimizing the set of construction machinery implies the possibility to consider the following: the influence of the quality of operation onto the technical state of the machinery, which is characterized by the readiness factor; costs and reliability of the purchased equipment, new and the used one; influence of capital overhauls; selling machinery and purchasing new one at a higher price; decommissioning old equipment; accompanying economical losses, which is a concealed form of insuring against insufficient reliability of the equipment; optimizing the service life along several criteria – minimum investment, maximum profit, specified level of reliability, period of repayment. This method for optimizing the age structure of the construction machinery set is based on using the method of linear programming. Practical recommendations are also included.
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Costa, Dora L., and Matthew E. Kahn. "Electricity Consumption and Durable Housing: Understanding Cohort Effects." American Economic Review 101, no. 3 (May 1, 2011): 88–92. http://dx.doi.org/10.1257/aer.101.3.88.
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We find that households living in California homes built in the 1960s and 1970s had high electricity consumption in 2000 relative to houses of more recent vintages because the price of electricity at the time of home construction was low. Homes built in the early 1990s had lower electricity consumption than homes of earlier vintages because the price of electricity was higher. The elasticity of the price of electricity at the time of construction was -0.22. As homes built between 1960 and 1989 become a smaller share of the housing stock, average household electricity purchases will fall.
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Windapo, Abimbola, Sunday Odediran, Alireza Moghayedi, Abdul Adediran, and David Oliphant. "Determinants of Building Construction Costs in South Africa." Journal of Construction Business and Management 1, no. 1 (April 18, 2017): 8–13. http://dx.doi.org/10.15641/jcbm.1.1.84.
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Completing project within cost is the target of most clients on any construction project. However, the achievement of this desire is just an imagination in the construction industry, because procurement and execution environments for projects are hostile and unpredictable. This study examines the determinants of building construction costs in South Africa and whether changes in the cost of certain resource factors such as construction equipment, labour and materials can be related to changes in building construction costs. The study employs a longitudinal cross-sectional quantitative research design approach and makes use of literature review and historical data obtained from institutional and governmental databases to identify the determinants. The data collected were analysed using time series analysis to confirm the trends in the cost of the resource factors and its alignment to the changes in building construction cost. After that, it makes use of an appropriate predictive modelling tool or causal analysis in establishing the determinants of construction cost. The results show that the price indices of construction equipment (EI), labour (LI) and materials (MI) have a gentler slope when compared with the Building Cost Index (BCI). It also emerged that later levels of the BCI are significantly and positively related to EI. The findings infer that the key determinant of increase in building construction costs in South Africa is equipment costs. Contractors and public or private sector clients in South Africa must utilize construction equipment optimally on projects, and these pieces of equipment should not be left idle on project sites or plant yards. Appropriate provisions should be made of equipment utilization policies which allow the joint ownership of equipment by contractors to mitigate the problems of cost increases. There are widely unexamined assumptions as to what resource factors are responsible for the growth in building construction costs in South Africa. Also is the similar high risk and uncertainty affecting the South African construction industry as a result of these fluctuations. The results of the study extend the knowledge of the resource factors responsible for building construction costs increases.
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Xie, Mengfan, Yanyan Zou, and Yi Zhou. "Natural Gas Power Generation to Promote the Construction of Ecological City." E3S Web of Conferences 248 (2021): 02028. http://dx.doi.org/10.1051/e3sconf/202124802028.
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As an unsustainable resource, it is of great significance to explore more efficient and low-carbon ways of using energy. With the fast development of China’s economy, most cities are faced with the pressure of ecological environment to varying degrees. The construction of ecological city is not only the need of ecological protection and improvement of natural environment, but also the requirement of urban development. Compared with coal-fired power generation, natural gas power generation has advantages in terms of environmental pollution, energy utilization efficiency and resource occupancy, and is one of the ideal energy sources for eco-city construction. However, at present, there are constraints such as lack of subsidy policy, high fuel price, dependence on import of equipment and high cost of construction and maintenance. In the long run, the development of gas-fired power generation industry should be actively and prudently promoted from the aspects of strengthening the construction of supporting facilities and the guarantee of gas source, perfecting the mechanism of electricity price, and increasing the localization rate of key equipment, so as to achieve the goal of optimizing industrial structure, saving energy and reducing emissions, and facilitating the construction of China’s ecological city.
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Razak Abdul Hadi, Abdul, Nur Farah Nadiah Md Lazim, and Tahir Iqbal. "Capital Structure Theories and Firm’s Value-Evidence from Bursa Malaysia Construction Sector." International Journal of Business and Management 12, no. 9 (August 15, 2017): 163. http://dx.doi.org/10.5539/ijbm.v12n9p163.
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This paper examines the relevance of Capital Structure theories to the performance of construction firms listed at Bursa Malaysia. Within the framework of Modigliani-Miller and Trade-Off theories, this paper uses Generalized Method of Moments as an estimation model employing yearly panel data over the observed period from 2010 through 2015. The test results from GMM indicate that earnings per share (EPS), dividend per share (DPS) and debt-equity ratio (D/E) have no significant relationship with firm’s value as represented by market price per share (MPPS). Even though the findings are rather shocking, one must admit there is an absence of Modigliani-Miller and Trade-Off theories in those construction firms at Bursa Malaysia. Obviously, this is an indication that the efficient market hypothesis prevails to a certain level at Bursa Malaysia.
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Gracia-de-Rentería, Pilar, Ramón Barberán, and Jesús Mur. "Urban water demand for manufacturing, construction and service industries: a microdata analysis." Journal of Water Supply: Research and Technology-Aqua 70, no. 3 (February 10, 2021): 274–88. http://dx.doi.org/10.2166/aqua.2021.105.
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Abstract This study analyses the industrial demand for urban water using a panel dataset of firms operating in the city of Zaragoza (Spain) and looking at three sectors (manufacturing, construction and services) disaggregated on 24 subsectors. Evidence in favour of using the marginal price rather than the average price is obtained, and the selection of the price is found to influence the value of the elasticities. Based on a translog cost function, the direct price elasticity of water (−0.86), the output elasticity (0.73) and the cross-price elasticities between water and capital, labour and supplies (being all of them substitutes) were estimated. By subsectors, the influence of price is only significant in those with a higher share of water in the total production cost. These results indicate that pricing can be used as a tool for managing water demand by promoting conservation of the resource. However, these results also indicate that the simultaneous use of other instruments is advisable to reinforce the impact of pricing policy on water consumption.
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Fang, Zhou. "Economic Factors Analysis and Optimization Strategy of Third-generation Nuclear Power." E3S Web of Conferences 292 (2021): 02024. http://dx.doi.org/10.1051/e3sconf/202129202024.
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Due to the project delay, the construction price of the first unit of the two types of third-generation nuclear motor type AP1000 and EPR in China is higher than the local benchmark price of coal. If the delay is not considered, only the first unit factor is considered, the price should be between 0.48-0.49 yuan/kWh. Compared with the construction period and electricity price of solar power generation and wind power, this price still has no advantage. Therefore, the economic efficiency of nuclear power has become a key factor to determine whether nuclear power can occupy a place in the future power market and then get rapid development. In this paper, combined with the construction experience of third-generation nuclear power in China, a comprehensive economic analysis of nuclear power is carried outfrom the design requirements, equipment procurement, construction period, financing channels, operation and maintenance strategies and other factors, so as to provide direction guidance for the economic improvement of the subsequent batch construction of the third-generation nuclear power and the better participation of nuclear power in the power market competition.
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Ali, Karnila. "Forecasting Analysis of Share Price Index in Construction Companies Registered in Indonesia Stock Exchange 2015-2019." Journal of Economics Research and Social Sciences 5, no. 1 (February 24, 2021): 42–63. http://dx.doi.org/10.18196/jerss.v5i1.11044.
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Stock is one of the investment instruments that many investors choose, both short and long term. Meanwhile, the stock price index is an essential indicator for investors deciding whether to buy, sell, or hold the stock. This study aims to determine what methods are suitable for predicting the Stock Price Index of Construction Companies Listed on the Indonesia Stock Exchange in 2015-2019. By selecting a model that matches the existing time series data, to evaluate the results of the forecasting, the researcher uses a measure of accuracy with Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), and Mean Squared Deviation (MSD). This type of research is a quantitative study with a research population of 16 companies listed on the Indonesia Stock Exchange. Only four samples were used that fit the specified criteria, and only five years of research were conducted, namely in 2015 to 2019. data can be seen from historical data or actual data and tested using Minitab software version 19. The results showed that Double Exponential Smoothing (Holt's) and Double Moving Average Method could be used to forecast the Construction Company Stock Price Index. Obtaining the smallest error value of the four construction companies, namely WSKT company with MAPE = 7.3, MAD = 148.8, and MSD = 40506.0 for the Holt'sand MAPE method = 5.3, MAD = 110.1, and MSD = 22006.9 for the Double Moving Average method.
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Plebankiewicz, Edyta, and Damian Wieczorek. "Prediction of Cost Overrun Risk in Construction Projects." Sustainability 12, no. 22 (November 10, 2020): 9341. http://dx.doi.org/10.3390/su12229341.
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The paper proposes a cost overrun risks prediction model, the structure of which is based on the fuzzy inference model of Mamdani. The model consists of numerous inputs and one output (MISO, multi-input-single-output), based on processes running consecutively in three blocks (the fuzzy block, the interference block, and the block of sharpening the representative output value). The input variables of the model include the share of element costs in the building costs (SE), predicted changes in the number of works (WC), and expected changes in the unit price (PC). The developed rule base makes it possible to determine the risk of cost overruns in the following categories: “very low”, “quite low”, “average”, “quite high”, and “very high”. Twenty-seven rules were assumed in the interference block. The operation of the model was illustrated by the example of selected elements of a road object and was validated by checking the correctness of the assumptions made at the design stage of the inference block rule base. It has been proven that with the increase of the share of element costs in the building costs (SE), predicted changes in the number of works (WC), and expected changes in the unit price (PC), the value of the risk exceeding the costs of a given element of the construction project (R) increases naturally and smoothly. It was emphasized in the conclusions that the cost overrun risks prediction model is intended for general contractors who subcontract many stages of works to their subcontractors in accordance with the agreed division into work elements.
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Suryana, Jenni, and Indra Widjaja. "Pengaruh Current Ratio (CR), Debt To Equity Ratio (DER), Net Profit Margin (NPM) dan Earning Per Share (EPS) Terhadap Harga Saham Perusahaan Konstruksi & Bangunan yang Terdaftar di Bursa Efek Indonesia (BEI) Periode 2013-2017." Jurnal Manajemen Bisnis dan Kewirausahaan 3, no. 5 (November 29, 2019): 19. http://dx.doi.org/10.24912/jmbk.v3i5.6075.
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This research aims to find out the effects of Current ratio (CR), Debt to equity ratio (DER), Net profit margin (NPM) dan Earning per share (EPS) toward stock price of the construction and building company which is listed in Indonesia Stock Exchange during 2013-2017.Sampling technique used is purposive sampling with criteria as (1) construction and building company which is listed in Indonesia Stock Exchange over the period from 2013 to 2017; (2) construction and building company who provided financial reports during 2013-2017; (3) Sample company still operate during research periods from 2013-2017. Based on this criteria, 9 samples were acquired. Data used in this research is secondary data obtained from www.idx.co.id and www.finance.yahoo.com. While the method of analysis used in this research is a method of regression anaylsis of panel data with fixed effect model.The result of this study show that CR and DER don’t have significant impact to the stock price of building and construction company; NPM and EPS have a significant price on stock price of building and construction company. Prediction capability of these four variables toward stock price is 92.29% as indicated by adjusted R square value, where the rest 7.71% is affected by others factors which was not entered to this research model.
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Kissi, Ernest, Daniel Oteng, Stephen Akunyumu, and Isaac Offei. "Determinants of Price Differential for Labour Pricing within the Ghanaian Construction Industry." Journal of Infrastructure Development 8, no. 2 (December 2016): 128–36. http://dx.doi.org/10.1177/0974930616687059.
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The construction industry is a sector of the economy that transforms various resources into constructed physical economic and social infrastructure necessary for socio-economic development. Labour forms an integral part of the construction process and cannot be overlooked. The reward of labour wages has become a domain for agitation in recent times as a result of the differential pricing of labour across the country, ranging from city to city. The aim of this study is to explore the determinants that account for different rates of labour. A mixed method approach was used that involves semi-structure interview and closed-ended questionnaires. The target population for the data collection was contractors, labourers and consultants within Ghana. Data generated from the survey were analysed using relative importance index (RII). The study revealed that consultants, labourers and contractors take into account the level of skill of personnel, demand for labour competition among firms, use of plant and equipment among others as the important determinants for labour pricing differential. The empirical data are limited to the views of consultants, labourers and contractors in the Ghanaian construction industry only. The article is of utmost importance for policymakers especially consultants in estimating prices of labour for certain geographical regions. Likewise, the study has the potential of spurring future development of the industry in order to stop labour agitation and also serve as a basis for future research.
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Voiko, A. V. "Models for Predicting the Probability of Bankruptcy: Applying in Construction Companies." Accounting. Analysis. Auditing 8, no. 1 (February 6, 2021): 13–23. http://dx.doi.org/10.26794/2408-9303-2021-8-1-13-23.
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The paper examines some foreign and domestic methods of forecasting bankruptcy of enterprises in order to apply them in the largest construction organizations in Russia. The empirical basis of the study is the construction companies that are comparable in size, revenue, and market share. Their annual financial statements preceding the analysis are the information base of calculations. The quality of forecasts has been checked on independent indicators’ calculations of financial analysis, as well as using data from financial markets and share prices under studied companies. The result of the research is the selection of models that gives the most correct forecast of the financial situation of a company in the construction industry. It has been also revealed that models for predicting financial insolvency of enterprises has not been able to assess changes in financial stability in the short term. Therefore, the author compares calculation results with data of financial markets. As a result, it was found that models which demonstrate the greatest predictive ability correlate with the results of independent financial analysis, as well as with data of financial markets regarding the share price dynamics of construction companies. The paper provides recommendations on approaches to choosing models for analyzing the probability of bankruptcy and can be useful for specialists of financial and analytical services to predict the financial insolvency of construction business.
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Pauzi Harahap, Nurul Ramadhani, Idhar Yahya, and Abdillah Arif Nasution. "The Effect of Free Cash Flow, Debt to Equity Ratio, Working Capital Turnover and Earnings Per Share on Stock Prices with Stock Beta as Moderating Variable in Construction Sub-Sector Companies Listed on the IDX for the 2013-2019 Period." International Journal of Research and Review 8, no. 8 (August 17, 2021): 244–53. http://dx.doi.org/10.52403/ijrr.20210834.
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The purpose of this study aims to discover the effect of free cash flow, debt to equity ratio working capital turnover, and earning per share on stock price with stock beta as moderating variables. This research was conducted on Construction Sub-Sector Companies listed on the Indonesia Stock Exchange for 2013-2019. The technique in this study uses a purposive sampling technique. The sampling technique shows that the research sample is ten companies with seven years of research, so the number of observations in this study is 70. The data analysis method used in this study is Panel Data Regression Analysis which was carried out with the help of EViews software. The results showed that free cash flow, working capital turnover did not significantly affect stock prices and earnings per share, and the debt to equity ratio had a significant effect on stock prices. The stock beta variable can moderate the effect of free cash flow, debt to equity ratio, working capital turnover, and earnings per share on stock prices. Keywords: Free Cash Flow, Working Capital Turnover, Earnings Per Share and Debt to Equity Ratio, Stock Price and Stock Beta.
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Pradhan, Subhendu Kumar, and R. Kasilingam. "Buyback Announcement and Its Impact on Shareholders’ Wealth: A Study on Bombay Stock Exchange." Asia-Pacific Journal of Management Research and Innovation 14, no. 3-4 (September 2018): 111–19. http://dx.doi.org/10.1177/2319510x18819652.
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Buyback announcement is a programme through which companies buy back its own shares from the public due to many reasons such as undervaluation of share, market situation, lack of investment opportunity and so on. In fact, it may affect the share price movement and company’s performance. In the last couple of years, there is a significant increase of funds offered for buyback in the Indian capital market. Therefore, the study attempts to find out its impact on shareholders’ wealth. To know this impact, buyback announcement are analysed industry-wise using companies of BSE 500 index. The samples are selected based on prescribed criteria made by the researcher which are exclusively related to the number of times buyback programmes are announced by companies under a particular industry. The study analyses the share price movement of sampled companies for 30 days before and 30 days after the announcement. The market adjusted model is used to calculate the abnormal returns (AR). The statistical tools such as paired sample t-test and analysis of variance are used for the analysis. The study concludes that buyback affects the share price of health care industry, fast-moving consumer goods (FMCG) industry, chemical and petrochemical industry, capital goods industry and finance industry, but it is not applicable to other industries such as agriculture industry and transport equipment industry, which are not significant. The reasons behind this may be the size of the buyback offer, mode of the buyback offer and market situation. The study also concludes that AR earned by the investors are not different according to the nature of the industries. This study proves that buyback announcement is irrelevant to shareholders’ wealth.
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Zhu, Chen. "Construction of the Network Learning Platform for the Course Building Space Transformation based on Grid." International Journal of Emerging Technologies in Learning (iJET) 13, no. 05 (April 30, 2018): 201. http://dx.doi.org/10.3991/ijet.v13i05.8437.
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It is a development trend to build a network learning platform for the current university course teaching, but universities or colleges can’t share the learning information with each other effectively. Meanwhile, the whole screen synchronous display will consume wireless network mobile data. This network learning platform can combine the grid with the network synchronization technology to synchronize the information displayed on the multimedia equipment with the learners' computers. Besides, it can share the network instructional resources. A new teaching technology combining the course synchronous system with the network learning platform proposed in this article with the grid, the network teaching system and the synchronization technology of network learning platform as the theoretical basis is composed of 2 parts: the learning module (including the course learning function and the assignment uploading and correcting function) and the synchronous display module. We tested the practical effect of the new network learning platform and found that this platform could broaden the learning space of the architecture specialty, facilitate the sharing of learning resources, improve the learning quality effectively, and complement the implementation of traditional learning methods beneficially.
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Sarac, K., D. Day, and S. White. "What are we saving anyway? The results of three water demand management programs in NSW, Australia." Water Supply 3, no. 3 (June 1, 2003): 215–22. http://dx.doi.org/10.2166/ws.2003.0029.
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The use of demand management programs to achieve permanent and reliable decreases in water consumption through retrofits of water using equipment is relatively new in Australia, and has been carried out on the basis of models which predict savings, and on results of demand management programs undertaken overseas. The availability of information on actual savings achieved by demand management programs in Australia is extremely limited. This paper outlines the results of the evaluation of three retrofit programs undertaken in NSW, two of which involved a visit by a plumber to households to carry out a retrofit of indoor water using equipment at a subsidised price; the other taking a “hands-off” approach and relying on a discount incentive mechanism to increase the market share of water efficient showerheads.
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Utami, Venny Junica. "Analisis Pengaruh Kinerja Keuangan Terhadap Harga Saham Pada Industri Konstruksi Yang Terdaftar di Bursa Efek Indonesia Periode 2012 – 2016." J-MAS (Jurnal Manajemen dan Sains) 3, no. 1 (April 26, 2018): 52. http://dx.doi.org/10.33087/jmas.v3i1.43.
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The results of this study indicate that Financial Performance, Risk Management and Working Capital Management Against Stock Price of Construction Industry in Indonesia Stock Exchange period 2012-2016 with the number of Fhitung 12,441 and Ftabel of 2.71, it can be seen that Fcount> Ftable is 12,441> 2, 71, meaning there is a significant influence between earnings per share (EPS), price earning ratio (PER), return on equity (ROE), bi rate and cash conversion cycle (CCC) simultaneously to stock prices while the value of t arithmetic EPS of 5.494 and ttabel 1.72472 from the comparison then it can be known t count <ttabel (5,494 <1,72472). The conclusion is that all independent variables have significant effect on dependent variable at α = 5% or 0,05 and F test criterion by comparing Fcount 12,441 and Ftabel 2,71, it can be seen that Fcount> Ftable is 12,441> 2,71 , meaning there is a significant influence between earnings per share (EPS), price earning ratio (PER), return on equity (ROE), bi rate and cash conversion cycle (CCC) simultaneously to stock price in property and real estate industry in 2012 -2016. Keyword: financial performance, stocks, stock exchange
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Mohsenijam, Arash, Amirsaman Mahdavian, and Alireza Shojaei. "Stochastic Earthmoving Fleet Arrangement Optimization Considering Project Duration and Cost." Modelling 1, no. 2 (November 7, 2020): 156–74. http://dx.doi.org/10.3390/modelling1020010.
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Earthmoving is one of the main processes involved in heavy construction and mining projects. It requires a significant share of the project budget and can dictate its overall success. Earthmoving related activities have a stochastic nature that affects the project cost and duration. In common practice, the equipment required for a project is selected using average operating cycles, neglecting the stochastic nature of operations and equipment. Ultimately this can lead to rough estimates and poor results in meeting the projects’ objectives. This research aims to provide a decision-support tool for earthmoving operations and achieve the best arrangement of equipment based on project objectives and equipment specifications by utilizing historical data. Operation simulation is identified as an efficient technique to model and analyze the stochastic aspects of the cost and duration of earthmoving operations in construction projects. Therefore, two simulation models—namely the Decision-Support Model and the Estimation Model, have been developed in the Symphony.net modeling environment to address the industry needs. The Decision-Support Model provides the best arrangement of equipment to maximize global resource utilization. In contrast, the Estimation Model captures more of the project details and compares various equipment arrangements. In this paper, these models are created, and the modeling logic is validated through a case study employing a real-world earthmoving project that demonstrates the model’s capabilities. The decision support model showed promising results in determining the optimized fleet selection when considering equipment and shift variations, and the cost model helped better quantifying the impact of the decision on the cost and profit of the project. This modeling approach can be reproduced by others in any case of interest to gain optimal fleet management.
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Suslov, V. I., T. S. Novikova, and O. I. Gulakova. "Price Effects in the Evaluation of Investment Projects." Economy of Region 17, no. 1 (March 2021): 16–30. http://dx.doi.org/10.17059/ekon.reg.2021-1-2.
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In the context of globalisation, there is a need to assess the difference between domestic and world price effects as an im- portant component of the economic analysis of investment projects. We developed an integrated approach to measuring the differences between commercial and public efficien cy (indicati ng pri ce effec ts) and substantiat ing the applicat ion of specific mechanisms for implementing relevant projects based on the principles of public-private partnership. We propose to estimate price effects using three interrelated models: financial and economic model, input-output multi-regional model, and econometric model. The combination of these models allows analysing large investment projects considering their influence on the develop- ment trends of the global, national and regional economy. This methodology was tested on the example of a real regional project for the construction of the Eastern Siberia — Pacific Ocean (ESPO-2) oil pipeline. The results show that the share of price effects amounted to more than 35 % of net present value within the framework of public efficiency, confirming their high significance. Tax price effects have the largest share in the structure of the price effects. Indirect price effects of the considered project are less significant. The research results have confirmed that the identification of indicators of public efficiency and in-depth analysis of price effects increase the validity of the assessment of regional infrastructure projects. In the future, we plan to use the proposed methods as an integral part of a comprehensive assessment of large-scale production, transport and research infrastructure projects.
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Kasaev, Boris Sultanovich, and Azat Ashatovich Razakov. "The Problems of Investment in Innovations, Range of Products and Technological Re-equipment of the Construction Corporation." Studies in Engineering and Technology 2, no. 1 (July 30, 2015): 111. http://dx.doi.org/10.11114/set.v2i1.992.
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The article considers the current state of the investment process in innovations applied to the construction companies in Russia. The subject of research: problems of investing in innovations, expansion and technological re-equipment of the construction corporation. The article covers the following topics: the study of statistical data regarding the present state of the construction sector. Object: to identify the main problems and the tendencies of development of the investment processes to provide innovations in the conditions of the transformed economy. The work carried out processing statistical information, which allowed the state to give the quantitative characteristics of the construction sector and its role in the economic development of Russia, as well as in the formation of federal budget revenues. The study used methods of system analysis, synthesis, complex approach, comparison, modeling and other methods of cognition. It is concluded that the presence of a wide range of indicators of the state of the economy in the sectoral and territorial aspects. A substantial increase in the state's share of investing activities in crisis and post-crisis period. It is concluded that the gradual transition of the Russian construction industry, the path to the updated development involves restructuring algorithms to achieve growth. A key source providing this transition should be a systematic approach to innovation. In this regard, the structure of long-term socio-economic development of the Russian Federation for the period up to 2020 shall be implemented in two successive stages.
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Bieszk-Stolorz, Beata, and Iwona Markowicz. "Methods of Event History Analysis in the Assessment of Crisis Impact on Sectors Related with the Real Estate Market in Poland." Folia Oeconomica Stetinensia 17, no. 1 (June 27, 2017): 57–67. http://dx.doi.org/10.1515/foli-2017-0005.
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Abstract The subject of the article is the use of methods of event history analysis to assess the fall of prices and the subsequent increase of share prices of companies operating in the construction industry, developers (real estate) and building materials industry compared to other industries. The 328 examined companies were listed on the continuous market and the parallel market on the Stock Exchange in Warsaw. Share prices were observed in the period from 1 January 2008 to 31 December 2009 which was based on the earlier observations of stock quotes and the WIG index, the latter reaching its minimum in February 2009. The closing price of a share was taken into account. The 60% decrease and 80% growth in shares prices in particular sectors were analysed. What was assessed was the risk of fall in share prices and their chance for recovery. Additionally, the intensity of the increase of share prices and the probability of failure to reach the limit were examined.
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Rogalska, M., and J. Żelazna-Pawlicka. "Analysis of the Distribution Influence of the Density of Cost-forming Factors on Results of the LCCA Calculations." Archives of Civil Engineering 65, no. 3 (September 1, 2019): 101–12. http://dx.doi.org/10.2478/ace-2019-0037.
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AbstractThe paper evaluates the relationship between the selection of the probability density function and the construction price, and the price of the building's life cycle, in relation to the deterministic cost estimate in terms of the minimum, mean, and maximum. The deterministic cost estimates were made based on the minimum, mean, and maximum prices: labor rates, indirect costs, profit, and the cost of equipment and materials. The net construction prices received were given different probability density distributions based on the minimum, mean, and maximum values. Twelve kinds of probability distributions were used: triangular, normal, lognormal, beta pert, gamma, beta, exponential, Laplace, Cauchy, Gumbel, Rayleigh, and uniform. The results of calculations with the event probability from 5 to 95% were subjected to the statistical comparative analysis. The dependencies between the results of calculations were determined, for which different probability density distributions of price factors were assumed. A certain price level was assigned to specific distributions in 6 groups based on the t-test. It was shown that each of the distributions analyzed is suitable for use, however, it has consequences in the form of a final result. The lowest final price is obtained using the gamma distribution, the highest is obtained by the beta distribution, beta pert, normal, and uniform.
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Cui, Xiaodong, Jun Hu, Yiming Ma, Peng Wu, Peican Zhu, and Hui-Jia Li. "Investigation of stock price network based on time series analysis and complex network." International Journal of Modern Physics B 35, no. 13 (May 20, 2021): 2150171. http://dx.doi.org/10.1142/s021797922150171x.
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Complex network is now widely used in a series of disciplines such as biology, physics, mathematics, sociology and so on. In this paper, we construct the stock price trend network based on the knowledge of complex network, and then propose a method based on information entropy to divide the stock network into some communities, that is, a gathering study of stock price trend. We construct time series networks for each stock in Chinese A-share market based on time series network model, and then use these networks to divide the stock market into communities. We find that the average trend of stocks in the same community is the same as the trend of market value weighting, but the average trend of stocks in different communities is quite different and the sequence correlation is low. This conclusion shows that stocks in the same community share the same price trend, while the stock trend in different communities varies. This paper is a successful application of complex network and information entropy in stock trend analysis, which mainly includes two contributions. First, the success of the visibility graph algorithm provides a new perspective for enriching stock price trend modeling. Second, our conclusion proves that the clustering based on information entropy theory is effective, which provides a new method for further research on stock price trend, portfolio construction and stock return prediction.
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Čerčikienė, Irena, Jolanta Jurkevičiūtė, and Dalė Židonytė. "MODERNIZATION OF EQUIPMENT IN CHEMICAL LABORATORY OF VILNIUS COLLEGE." GAMTAMOKSLINIS UGDYMAS / NATURAL SCIENCE EDUCATION 6, no. 1 (March 1, 2009): 55–60. http://dx.doi.org/10.48127/gu-nse/09.6.55.
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The authors share the experience of creating a modern chemical laboratory. Production of modern la-boratory equipment is developing in the direction of implementing measurement decrease, measurement pre-cision and microprocessor control of instruments. In the faculty of Agro technologies Vilnius College has equipped a modern chemical laboratory with up-to-date central tables, affinity cabinets of new construction, vibration-proof tables, analytical balance, central ventilation and air conditioning systems. Automatic Titrators „METTLER TOLEDO“ are used for classic volume analysis method – titration. „Thermo Spectronic“, spectrophotometer „Genesys”20 UV-VIS“, AAS model „Buck Scientific 210 VGP“ and spectrometer „Varian 640–IR“ are used to determine the molecular composition of a wide range of organic and inorganic materials (testing water, food products, soil and sewage). The authors of the article express special thanks to the administration of Vilnius College and social partner – Company “Fermentas” for help and support. This modern laboratory provides students of chemical biotechnological analysis with the opportunity to gain practical skills, which will make them sough-after on the labour market and which are essential for their career. Key words: chemical analysis technology, chemical laboratory, analytical balance, automatic titrator, spectrophotometer, spectrometer.
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Venus, Terese E., Nicole Smialek, Joachim Pander, Atle Harby, and Juergen Geist. "Evaluating Cost Trade-Offs between Hydropower and Fish Passage Mitigation." Sustainability 12, no. 20 (October 15, 2020): 8520. http://dx.doi.org/10.3390/su12208520.
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To promote the sustainable management of hydropower, decision makers require information about cost trade-offs between the restoration of fish passage and hydropower production. We provide a systematic overview of the construction, operational, monitoring, and power loss costs associated with upstream and downstream fish passage measures in the European context. When comparing the total costs of upstream measures across different electricity price scenarios, nature-like solutions (67–88 EUR/kW) tend to cost less than technical solutions (201–287 EUR/kW) on average. Furthermore, nature-like fish passes incur fewer power losses and provide habitat in addition to facilitating fish passage, which presents a strong argument for supporting their development. When evaluating different cost categories of fish passage measures across different electricity price scenarios, construction (45–87%) accounts for the largest share compared to operation (0–1.2%) and power losses (11–54%). However, under a high electricity price scenario, power losses exceed construction costs for technical fish passes. Finally, there tends to be limited information on operational, power loss, and monitoring costs associated with passage measures. Thus, we recommend that policy makers standardize monitoring and reporting of hydraulic, structural, and biological parameters as well as costs in a more detailed manner.
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Sun, Hongwei, and Yeongmog Park. "CO2 Emission Calculation Method during Construction Process for Developing BIM-Based Performance Evaluation System." Applied Sciences 10, no. 16 (August 12, 2020): 5587. http://dx.doi.org/10.3390/app10165587.
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Nowadays, global warming is a big challenge for human beings; since the Kyoto Protocol became effective, greenhouse gas emissions have been an important environmental evaluation index in all industries. Construction is a big contributor to greenhouse gas emissions. The greenhouse gas emissions in the construction stage are mainly from the construction materials and the construction activities. The purpose of this paper is to quantitatively calculate the carbon dioxide emissions in the construction process, and provide a method of controlling the CO2 emissions effectively by converting into cost. In this study, the authors selected the tunnel construction as the research object, and chose the primary greenhouse gas-CO2 to estimate emissions. The authors did a research based on BIM (Building Information Modeling) technology, to calculate CO2 emission during the construction process. It considered the CO2 emissions from main materials and equipment. Finally, the authors used the recent carbon emission trading price to convert the CO2 emission into cost, and did the economic analysis. The method proposed in this paper can effectively evaluate the CO2 emissions in the construction process; it has a good reference significance for the selection of low-carbon emission materials in the design process, and it provides a case reference and direction for research of low-carbon equipment. By using the EU emissions trading system, the economic conversion of CO2 emissions will provide an economic evaluation index for the CO2 emissions of tunnel construction activities. Meanwhile, based on the method of this study, a BIM-based automated performance evaluation system could be developed.
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Lipiński, Tomasz, and Dariusz Karpisz. "Corrosion Effect of 65% Nitrate Acid on X4CrNi1812 at 333 K." Quality Production Improvement - QPI 1, no. 1 (July 1, 2019): 425–32. http://dx.doi.org/10.2478/cqpi-2019-0058.
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Abstract Austenitic stainless steels are often used for a materials in the construction of machines and equipment for agricultural and for industrial construction. One of the most important factors constructional material is corrosion resistance. Equipment with austenitic stainless steel can be easy join by quickly welding at a not to high construction price, but one with the serious problem in aggressive environment is their corrosion resistance. A few corrosion processes in crevices and awkward corners can be avoided at the design stage (low roughness parameters, round-section and other). But still the construction material is exposed to corrosion. These steels often come into contact with an aggressive environment based on nitric acid. The main aim of this research is to investigate corrosion resistance in different time (48, 96, 144, 192, 240, 288, 336 hours). For this used weight loss of test samples and its profile roughness. The research was conducted on austenitic stainless steel in grade in Nitrate acid at 333 K. Corrosion tests confirmed that the research this steel in 65% nitrate acid as a corrosive environments is characterized through proportionate to time corrosion process whose measure may be surface roughness. In industrial practice roughness parameters for all the research times can be used for determine the stage and size of steel corrosion.
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Gomarn, Pittayaporn, and Jakrapong Pongpeng. "Causes of construction delay from contractors and suppliers in Thailand's oil and gas platform projects." MATEC Web of Conferences 192 (2018): 02008. http://dx.doi.org/10.1051/matecconf/201819202008.
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Construction project delays caused by contractors and suppliers are the top problems in Thailand's oil and gas industries. Recognizing this importance and their relationships between factors can help reduce the risk of delays in construction projects. Therefore, this study set out to confirm factors and inspect relationships between delay factors of contractors and suppliers. A 16 item questionnaire survey was distributed to 134 managers, engineers, and supervisors in oil and gas platform construction projects in Thailand. A confirmatory factor analysis (CFA) was performed by the use of Amos Version 20 software program. The analysis results showed that delays caused by the contractors and suppliers had high relationships, due to high regression weighs. The delays caused by the contractors included seven factors which included poor site management and supervision (17%), lack of safety rules and regulations (16%), poor communication and coordination with others (15%), poor procurement system management (15%), defective components and mistakes during construction (14%), supplier payments lateness (13%), and poor planning and scheduling (10%). The delays caused by the suppliers included six factors which included the supply of unqualified and unskilled personnel (22%), supply of low efficiency equipment (20%), late delivery of materials and equipment (20%), supply of low quality materials (16%), late supply of workers (16%), and price escalation (5%).
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Verwey, Jorn, Wim De Vries, Isaac Kashiwagi, and Dean Kashiwagi. "A Procurement Method that Considers Innovation." Journal for the Advancement of Performance Information and Value 7, no. 1 (May 15, 2020): 11. http://dx.doi.org/10.37265/japiv.v7i1.51.
Full textAbstract:
A challenge facing buyers in the delivery of innovative construction and facility services is to utilize expertise without increasing project risk. The traditional price-based Design-Bid-Build approach minimizes the utilization of expertise of expert construction vendors by using an owner driven specification. The non-traditional approaches such as design-build, construction management @ risk (CM@Risk), and integrated project delivery are more flexible but still have no methodology to minimize the risk caused by innovative practices. The Best Value Approach utilizing the Performance Information Procurement System (PIPS) and the Information Measurement Theory (IMT) has been tested for over 20 years with high customer satisfaction and performance. However, the use of past performance information still gave the perception of high risk when considering innovative concepts that have never been previously utilized. This research uses a case study of a hospital owner competing the risk of innovative systems with existing, proven systems. The research group had the opportunity to interject the Best Value Approach into the case study delivering the innovative service/equipment requirement, allowing them to see how the approach and created Best Value environment reacted to the expertise that uses innovation. The case study involves the delivery of cutting edge cancer technology, the proton cancer treatment equipment/system. Even though the delivered service is not standard construction, the delivery approach can be easily used in construction.
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Kissi, Ernest, Theophilus Adjei-Kumi, Peter Amoah, and Jerry Gyimah. "Forecasting Construction Tender Price Index in Ghana using Autoregressive Integrated Moving Average with Exogenous Variables Model." Construction Economics and Building 18, no. 1 (March 28, 2018): 70–82. http://dx.doi.org/10.5130/ajceb.v18i1.5604.
Full textAbstract:
Prices of construction resources keep on fluctuating due to unstable economic situations that have been experienced over the years. Clients knowledge of their financial commitments toward their intended project remains the basis for their final decision. The use of construction tender price index provides a realistic estimate at the early stage of the project. Tender price index (TPI) is influenced by various economic factors, hence there are several statistical techniques that have been employed in forecasting. Some of these include regression, time series, vector error correction among others. However, in recent times the integrated modelling approach is gaining popularity due to its ability to give powerful predictive accuracy. Thus, in line with this assumption, the aim of this study is to apply autoregressive integrated moving average with exogenous variables (ARIMAX) in modelling TPI. The results showed that ARIMAX model has a better predictive ability than the use of the single approach. The study further confirms the earlier position of previous research of the need to use the integrated model technique in forecasting TPI. This model will assist practitioners to forecast the future values of tender price index. Although the study focuses on the Ghanaian economy, the findings can be broadly applicable to other developing countries which share similar economic characteristics.
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Ozcan-Deniz, Gulbin, and Yimin Zhu. "A MULTI-OBJECTIVE DECISION-SUPPORT MODEL FOR SELECTING ENVIRONMENTALLY CONSCIOUS HIGHWAY CONSTRUCTION METHODS." Journal of Civil Engineering and Management 21, no. 6 (June 9, 2015): 733–47. http://dx.doi.org/10.3846/13923730.2014.893915.
Full textAbstract:
The construction industry has a considerable share in overall resource and energy consumption. Consequently, decision-makers try to achieve environmentally conscious construction by integrating environmental objectives into the selection of construction elements. Due to the complexity of construction projects, it is a known challenge to provide an effective mechanism to select the most feasible construction methods. Thus, it is crucial to learn the interdependency between various resource alternatives, such as material and equipment type, under various project conditions like unavailability of resources. An analytic network process (ANP) was used in this study to construct a decision model for selecting the most feasible construction method. Data collected via interviews with highway construction experts were used to model the dependency between decision parameters, such as project conditions and resource performance indicators. The proposed ANP model output the relative importance weights of decision parameters so that they can be used to identify environmentally conscious construction methods. The proposed mechanism is a valuable asset for construction decision-makers especially when their ability to select construction methods is limited by project constraints. Although the model was tested in a highway project in this paper, it can be further extended to benefit building construction and sustainable decision-making problems.
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Putra, Gilang Almaghribi Sarkara, and Rendra Agus Triyono. "Neural network method for control valve cost estimation on the EPC project bidding." SHS Web of Conferences 49 (2018): 02004. http://dx.doi.org/10.1051/shsconf/20184902004.
Full textAbstract:
Cost estimation on the bidding phase is a crucial stage that determines the success of the Engineering, Procurement and Construction (EPC) project. If the cost offered to the client is too high then it could not compete with the other bidder, but if the cost offered are too low it can reduce profit margins and result in losses for the EPC companies. This paper describe the use of Back Propagation Neural Network method to help determine cost estimation. This method is applied specifically to determine control valve cost estimation on the bidding phase so that the retrieved costs will be accurate. When there is no technical and price quotation from vendors as well as the narrowness of the bidding processing time, this method can be an alternative choice to determine the price based on previous vendor quotation. In the future, this method could be developed and applied for other instrumentation equipment such as transmitter, switch, analyzer, control system and others to achieve total cost estimation of instrumentation equipment in EPC bidding proposal.