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Artykuły w czasopismach na temat "Determinant of price"

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Bobinaite, Viktorija, and Jānis Zuters. "Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia." Economics and Business 29, no. 1 (2016): 12–26. http://dx.doi.org/10.1515/eb-2016-0017.

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AbstractThe paper aims at modelling the electricity generator’s expectations about price development in the Latvian day-ahead electricity market. Correlation and sensitivity analysis methods are used to identify the key determinants of electricity price expectations. A neural network approach is employed to model electricity price expectations. The research results demonstrate that electricity price expectations depend on the historical electricity prices. The price a day ago is the key determinant of price expectations and the importance of the lagged prices reduces as the time backwards leng
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Putra, Hadi Arisyah, Chenny Seftarita, and Suriani Suriani. "Determinants of Price Fluctuation for Cooking Oil Commodity in Aceh Province, Indonesia." International Journal of Business, Economics, and Social Development 2, no. 3 (2021): 113–18. http://dx.doi.org/10.46336/ijbesd.v2i3.158.

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Aceh Province is still one of the regions in Indonesia whose primary commodities are still largely dependent on other regions that can cause uncontrolled fluctuations in the price especially cooking oil product. One step to overcome these problems is to make accurate price fluctuation predictions so preventive actions can be taken to minimize error estimation of these fluctuations so appropriate policies can be applied. This study focuses on analyzing of forecasting fluctuations in cooking oil prices and the influence of its determinants in the Aceh Province, Indonesia. Price forecasting uses
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Cunha, António M., and Ricardo Loureiro. "Housing price dynamics and elasticities: Portugal's conundrum." National Accounting Review 6, no. 1 (2024): 75–94. http://dx.doi.org/10.3934/nar.2024004.

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<abstract> <p>We aimed to estimate the housing price determinants and elasticities in Portugal's metropolitan areas to help understand the dynamics of the abnormal price increase of the last decade, one of the highest in Europe and the World.</p> <p>We followed a three-step methodology applying panel data and time series regression estimation. First, we estimated the determinants of housing prices at the national and metropolitan area levels. Second, we split the sample by coastal and inner metropolitan areas and estimated the determinants of housing prices and the supp
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Ismaya, Bambang Indra, and Donni Fajar Anugrah. "DETERMINANT OF FOOD INFLATION." Buletin Ekonomi Moneter dan Perbankan 21, no. 1 (2018): 81–94. http://dx.doi.org/10.21098/bemp.v21i1.926.

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In this paper, we investigate the determinants of food inflation in Indonesia by applying General Method of Moments (GMM). The period of quarterly data is 2008:Q1 to 2017:Q4. The empirical finding of this study shows that backward-looking and forward-looking expectations have a strong impact on food inflation. Also, this study provided evidences that the determinants general food price inflation, such as food production, agriculture sector output, infrastructure, food import, agriculture sector credit, demand level (M1/consumption), and seasonal event (Eid Mubarak) are highly significant. Back
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Tushar, Ranjan Sahoo, Kumar Sahoo Saroj, and Satpathy Biswajit. "A Subjective Consideration of Agricultural Future Productivity: The Study by a Proposed Model." Asian Journal of Economics, Business and Accounting 3, no. 3 (2017): 1–9. https://doi.org/10.9734/AJEBA/2017/34261.

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Agriculture is the backbone of Indian economy. Agriculture is not only important in economic point of view but also has subconscious influence on social, political and cultural life. So many researchers have accomplished their study related to the price determinants of agricultural product, but rare researcher worked on ‘consumption pattern’ as moderated ‘price determinants’ and ‘perception toward future productivity’. By the informal discussion with farmers’ it has been judge that there is a great role of farmers’ and firm owners’ psychology on the future productivity. So, these research issu
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Tang, Tuck-Cheong. "A COINTEGRATION ANALYSIS OF INFLATION BEHAVIOUR IN SOUTHEAST ASIA." Labuan Bulletin of International Business and Finance (LBIBF) 2, no. 2 (2004): 123–36. http://dx.doi.org/10.51200/lbibf.v2i2.2597.

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The objective of this study is to investigate the long-run relationship between inflation and its determinants in the five selected Southeast Asia economies. The sample countries are Malaysia, Indonesia, Thailand, the Philippines, and Singapore. More specifically, this study has considered the different effects of final demand components on inflationary process by further disaggregating the real income variable into final consumption expenditure, expenditure on investment goods, and exports, as explanatory variables. Other factors are money supply and import prices. From the estimates, the ela
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Anselmsson, Johan, Niklas Vestman Bondesson, and Ulf Johansson. "Brand image and customers' willingness to pay a price premium for food brands." Journal of Product & Brand Management 23, no. 2 (2014): 90–102. http://dx.doi.org/10.1108/jpbm-10-2013-0414.

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Purpose – The aim is to understand customers' willingness, or unwillingness, to pay a price premium in the market for consumer packaged food and what kind of images brands can use in order to achieve a price premium. Design/methodology/approach – The study is based on a quantitative survey of brand images found in food and branding literature and their impact on loyalty as well as customers' willingness to pay a price premium for consumer packaged food. Findings – The survey shows that quality is a significant determinant of price premium, but adding other image dimensions doubles the predicta
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Henny, Medyawati, and Yunanto Muhamad. "Determinant of Stock Price Manufacturing Company: Evidence From Indonesia." Journal of Economics and Business 3, no. 2 (2020): 524–35. https://doi.org/10.31014/aior.1992.03.02.217.

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One of the objectives of financial management is to maximize the value of the company. For companies that have been listed on the stock exchange, this goal can be achieved by maximizing the value of the relevant market price. The purpose of this study is to find the right model to analyze the effect of Debt to Equity Ratio (DER), Earning per share (EPS), Price to Book Value (PBV), and Return on Equity (ROE) on the stock prices of manufacturing companies included in the sector the food and beverage sub-sector of the consumer goods industry that is listed on the Indonesia Stock Exchange. Researc
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Cevik, Serhan, and Tahsin Saadi Sedik. "A Barrel of Oil or a Bottle of Wine: How Do Global Growth Dynamics Affect Commodity Prices?" Journal of Wine Economics 9, no. 1 (2014): 34–50. http://dx.doi.org/10.1017/jwe.2014.2.

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AbstractThis paper explores empirically the causes of extreme fluctuations in commodity prices from January 1990 to June 2010 and seeks to identify the relative contribution of advanced and emerging market economies to the changes in commodity prices. Our assumption is that analyzing two very distinct goods—crude oil and fine wine—helps to identify common determinants of commodity prices. We find that the growth rate of global aggregate demand is the key macroeconomic determinant of the fluctuations in both crude oil and fine wine prices over the sample period. While advanced economies account
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Egunjobi, Titilayo. "Determinants of Household Cooking Energy Choice in Oyo State, Nigeria." Journal of Economics and Policy Analysis 5, no. 2 (2020): 15–37. https://doi.org/10.52968/25745894.

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This study examined the economic and social determining factors of household cooking energy choice in urban and rural local governments in Oyo State, Nigeria. Primary data via questionnaire and personal interview was collected from 180 randomly selected respondents in Oyo state. Descriptive statistics and the multinomial logit model were used for data analysis. In rural areas, the significant social determinants of household cooking energy are meals per day, education, household size, occupation and cooking facility, while the significant economic determinant of household cooking energy is app
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Rozprawy doktorskie na temat "Determinant of price"

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Pokorný, Michael. "Analýza determinant tvorby nabídkových cen bytů." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-205053.

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In this diploma thesis are analyzed selling prices of flats in Czech Republic. Based on literature and economic theory about similar topic was made economic model and constructed variables, which could have effect on the price. For the analysis were used information about 1100 flats in 8 Czech cities. The effect of the variables was measured using ordinary least square method. Increase of size of the flat by one squared meter cause 1,28% increase of price. Price of flats in ground floor is lower than other flats. This effect raises until fifth floor. Flats in last floor are cheaper than others
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Brožová, Dominika. "Vyvíjí se prodeje nových osobních automobilů procyklicky? Analýza determinant korporátní a retailové poptávky v ČR a SR." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201856.

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The thesis is focused on verifying the pro-cyclical relationship of sales of new passenger cars in the Czech Republic and Slovakia and the subsequent evaluation of the impact of macroeconomic variables in the period from the first quarter of 2005 to the third quarter of 2015. In total, there are four different models estimated of multiple linear regressions of car sales, where for the Czech R. the estimation of different sectors of households and firms is available as well. By comparing the Czech R. and Slovakia regarding aggregate sales, fuel prices and gross domestic products are especially
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Mo, Zheng. "An Empirical Evaluation of OLS Hedonic Pricing Regression on Singapore Private Housing Market." Thesis, KTH, Byggvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150401.

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The empirical paper studies the relationship between property value and hedonic attributes. To indentify the determinant characteristics the influent the private real estate price, their degrees of significance and help with the valuation procedure, 8870 private residential property transactions with caveats lodged across country are selected from Urban Redevelopment Authority of Singapore. 40 models are tested and RMSE, R-Square, Adjusted R-Square, F-Value tests are performed to discover the overall fitness of the models. Breusch-Pagan F-Test is performed to test the existence of heteroskedas
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Karagol, Tuba. "A Study Of Housing Prices In Ankara." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608958/index.pdf.

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Housing price studies is the first step of housing market analysis. Prices are determined at the intersection point of supply and demand curves, which determine equilibrium point that represents equilibrium price and quantity level. At a point in time demand factors are more important in determining the prices because short-run supply curve is almost vertical. However, in the long run supply of housing, and its certain attributes, will increase if price premium arises in the previous periods. In most of the studies, house prices are analyzed by using hedonic price index technique, which enable
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Cheremnykh, Anna. "INVESTMENT IN REAL ESTATE: PRAGUE CASE STUDY." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199519.

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This paper analyzes the influence of several factors on rental and purchase price of Real Estate in Prague. The idea is that purchase and rental price could be influenced by different factors. To make a decision about "buy to rent" investment it is necessary to consider both sides. The aim is to conduct thorough analysis to find out whether differential factors exist, and if so, what they are. The comparison of these factors and their separated effects helps to understand the total effect on potential profitability and to make right decision about attractive properties for "buy to rent" invest
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Horová, Lucie. "Analýza determinant pracovní migrace občanů ČR." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-16731.

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This diploma work deals with free movement of workers within European Union. The first theoretic chapter define labour migration and its main segmentation. The second chapter discribes four significant theoretical approaches to labour migration depending on wages differentials, human capital supply, family and created migration nets. Every approach explains the causes and effects of labour migration by different way. The third chapter is devoted to the migration policy of EU. Within fourth chapter migration policy of the selected countries (Germany, Austria, Ireland, Great Britain) is studied.
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Getahun, Habtewold Demewez. "THE EFFECT OF INTEREST RATES ON HOUSING PRICES IN SWEDEN : : The case of one and two dwelling buildings". Thesis, KTH, Bygg- och fastighetsekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-89826.

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The aim of this paper is to study the effect of interest rates on house price changes in Sweden for the case of one and two dwelling buildings. Basically, three procedures were used for analysis. First, correlation analysis was used to investigate and test if there has been any relationship between interest rates and house price in Sweden in the past two decades. Second, multiple regressions analysis with consideration of hetroskedasticity autocorrelation or HAC (newey-west standard) errors was applied to test the impact of changes of interest rates on house price. Finally, distributed lag mod
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Martin, Jon E. (Jon Egan). "Determining the Impact of Selected Variables on the Sale Price of Real Estate." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc501198/.

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This paper presents the results of a study dealing with a number of issues regarding real estate investment. Utilizing a data set consisting of real estate transactions, questions relative to the impact of certain variables on the sale price are addressed. This analysis addresses the question of the impact of financial, physical, and location characteristics on the sales price of commercial grade real estate.
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Anop, Sviatlana. "Apartment price determinants : A comparison between Sweden and Germany." Licentiate thesis, KTH, Fastigheter och byggande, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-161652.

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Similar development of economic fundamentals in Germany over the last two decades did not lead to the same dramatic house price increases as it is in Sweden. What can explain this house price stability over a long period? This thesis attempts to find the answer this question. The first paper in this thesis contains an extended literature review on the studies focused on the factors affecting house prices in the short and in the long run. Existing literature adopts a broad variation of approaches and reaches different conclusions attempting to answer the question about what are the key drivers
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Cullen, John Tanner. "Determinants of Single-Family Home Price: Oakland, California." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1386.

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This study focuses on explaining the determinants of home value for a given region of Oakland, California. With a history of high crime and low performing public schools, Oakland’s housing market has not achieved the same measurable success as neighboring cities like Berkeley and San Francisco. Through the use of time series regressions of panel data; rate of crime, school test scores, and distance to public transportation are examined in order to determine their singular and joint effects on single-family home values from 2008 to 2013. Trends in neighborhood characteristics indicate an ongoin
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Książki na temat "Determinant of price"

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Hess, Martin. The Determinants and the forecastability of Swiss stock prices. Studienzentrum Gerzensee, 2001.

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Kaufman, Phillip R. Supermarket prices and price differences: City, firm, and store-level determinants. U.S. Dept. of Agriculture, Economic Research service, 1990.

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Kaufman, Phil R. Supermarket prices and price differences: City, firm, and store-level determinants. U.S. Dept. of Agriculture, Economic Research service, 1990.

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Lopez-de-Silanes, Florencio. Determinants of privatization prices. National Bureau of Economic Research, 1996.

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Luppold, William G. The determinants of hardwood lumber price. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1985.

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R, Capozza Dennis, and National Bureau of Economic Research., eds. Determinants of real house price dynamics. National Bureau of Economic Research, 2002.

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Cabral, Donna. The determinants of share prices. typescript, 1997.

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Borio, C. E. V. Exploring aggregate asset price fluctuations across countries: Measurement, determinants, and monetary policy implications. Bank for International Settlements, Monetary and Economic Dept., 1994.

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Fund, International Monetary, ed. The macroeconomic determinants of commodity prices. International Monetary Fund, 1994.

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Singh, Satwinder. The determinants of prices in UK industry: Firms' views. University of Reading, Dept. of Economics, 1993.

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Części książek na temat "Determinant of price"

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Nathan, Thurai Murugan, Abdelhak Senadjki, and Hui Nee Au Yong. "The Determinant of Local Palm Oil Price in Malaysia: Does the Covid-19 Pandemic Matter?" In Proceedings of the 10th International Conference on Business, Accounting, Finance and Economics (BAFE 2022). Atlantis Press SARL, 2023. http://dx.doi.org/10.2991/978-2-494069-99-2_26.

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Taghizadeh-Hesary, Farhad, Naoyuki Yoshino, Yugo Inagaki, and Lilu Vandercamme. "Solar Module Price Determinants." In The Handbook of Energy Policy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9680-0_25-1.

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Taghizadeh-Hesary, Farhad, Naoyuki Yoshino, Yugo Inagaki, and Lilu Vandercamme. "Solar Module Price Determinants." In The Handbook of Energy Policy. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6778-8_25.

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Kolb, Bonita M. "Determining the product price." In Marketing Strategy for the Creative and Cultural Industries. Routledge, 2020. http://dx.doi.org/10.4324/9780367817077-9.

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Chhabra, Sakhhi. "Determining the Optimal Price Point: Using Van Westendorp’s Price Sensitivity Meter." In Managing in Recovering Markets. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1979-8_20.

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Kamran, Asif, Shumaila Israr, and S. M. Ahsan Rizvi. "Determinants of Gold Prices in Pakistan." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40081-0_103.

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Bard, Jonathan F. "Determining Price Support Levels for Biofuel Crops." In Nonconvex Optimization and Its Applications. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2836-1_12.

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Bhattacharya, Kaushik. "Determinants of Price Deviations Across Regions in India." In India Studies in Business and Economics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1795-4_11.

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Arora, Parvinder, and Muslim Bhimani. "Determinants of Stock Price in Singapore’s Manufacturing Sector." In Entrepreneurship, Business and Economics - Vol. 2. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27573-4_43.

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Kumar, Anoop S., and Taufeeq Ajaz. "Determinants of Bitcoin Price: Evidence from Asymmetrical Analysis." In India Studies in Business and Economics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7062-6_28.

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Streszczenia konferencji na temat "Determinant of price"

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Mihaleva, Hristina, Zahari Dechev, Svetla Atanasova, and Teodora Todorova. "PSYCHO-SOCIAL ASPECTS OF PRICE IN THE BULGARIAN CONTEXT." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/gs04.40.

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{In modern commerce, the psycho-social aspects of price have a significant impact on the buyers. The buyer's connection to the price of a product signifies specific substantive characteristics, which inherently contribute to the application of certain factors in marketing for the exploration and examination of the issue at hand. The present study focuses on specific determinants that influence the determination of the final price by the manufacturer, the trade agent (intermediary), and the buyer themselves. Within the scope of the discussion, the primary objective of the research work is assoc
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Daase, Christian, Seles Selvan, Dominic Strube, Daniel Staegemann, Jennifer Schietzel-Kalkbrenner, and Klaus Turowski. "Dynamization of Retail Pricing: From Traditional Price Determinants to Automation Based on Artificial Intelligence." In 27th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013441000003929.

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Alshatri, Najlaa, Morteza Saberi, and Farookh Khadeer Hussain. "A Comprehensive Analysis for Determining Key Influencing Factors on Carbon Credit Prices." In 2024 IEEE International Conference on e-Business Engineering (ICEBE). IEEE, 2024. https://doi.org/10.1109/icebe62490.2024.00032.

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Rusmawati, Zeni, Rieska Maharani, and Dedy Surahman. "Determinant Factors of House Price Using Regression Analysis." In Proceedings of the 2nd International Conference of Business, Accounting and Economics, ICBAE 2020, 5 - 6 August 2020, Purwokerto, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.5-8-2020.2301209.

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Volkov, Artiom, Mangirdas Morkūnas, and Viktorija Skvarciany. "Is it possible to predict food retail prices? Evidence from Lithuanian market." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.018.

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Purpose – the purpose of the article is to develop a model that could be used for estimating the level of the effect of the highlighted determinants on food retail prices. Research methodology – the study is based on the obtained monthly data of food retail prices that covers the period from 2016 I m. to 2018 XII m. (36 observations). Multiple regression modelling is used in order to create a model of food retail prices. Findings – the results provide evidence that the most influential determinants are the price of the alternative products and purchasing power. It also contributes to scholarly
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Wu, Miao, and Changbing Tang. "Price of fairness for zero-determinant strategies in Iterated Prisoner’s Dilemma." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550497.

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Algan, Neşe, Erhan İşcan, and Duygu Serin Oktay. "The Impact of Energy Prices on World Food Prices: A Bounds Testing Approach." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01693.

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Economic developments of the countries are highly interrelated with food prices due to food security. World food prices have dramatically changed in recent years. The rise of food prices have warned all governments because of socio-economic implications and stimulated extensive academic discussions. Increase of food prices is not surprising while energy prices increased during the same periods. Therefore, the energy prices can be seen as one of the determinant of food prices. Energy prices influence food price movements in many ways. Firstly, increasing energy prices result in a rise in input
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Kanapienytė, Laura, and Renata Činčikaitė. "EVALUATION OF ATTRACTIVENESS OF THE EU MEMBER STATES FOR FOREIGN DIRECT INVESTMENT." In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.821.

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The world is increasingly being affected by globalisation, and investment is being affected by this continuous process. Investment is an important determinant of a country’s growth, its micro- and macroeconomic development, and the overall economic well-being. Attractiveness for investment is an indicator that reveals accessibility and com-petitiveness of a region with all its material and non-material resources compared to other regions with similar char-acteristics. Based on systematic and comparative literature analysis, this article reviews the concepts of foreign direct investment (FDI) a
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Reshetnikova, Liudmila G., Natalia B. Boldyreva, Anton P. Devyatkov, Mariya S. Tsyganova, and Danila V. Ovechkin. "Energy determinants of CO2 prices: results of exploratory data analysis." In Sustainable and Innovative Development in the Global Digital Age. Dela Press Publishing House, 2022. http://dx.doi.org/10.56199/dpcsebm.lysy5005.

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The key instrument for regulating the reduction of greenhouse gas (CO2) emissions is the emissions trading system (ETS), which Russia chose to create. One of the key issues for the ETS participants is the mechanism of CO2 pricing. Energy sources are the most important factors in the CO2 price. The study of the relationship between them and the CO2 price at foreign ETSs gives contradictory results. The paper investigates the relationship between energy variables and CO2 price using exploratory analysis tools as the first stage of machine learning. The univariate analysis showed that the laws of
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Bulgac, Nicolai. "Reglementarea prețurilor produselor energetice (Pe exemplul produselor petroliere)." In Simpozion Ştiinţific al Tinerilor Cercetători, Ediţia a 21-a. Academy of Economic Studies of Moldova, 2024. http://dx.doi.org/10.53486/sstc.v3.54.

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This article presents the method of forming the market prices of petroleum products in the Republic of Moldova, analyzing the way of determining the ceiling prices for them and the causal relationship between the size of the ceiling price and the prices registered on the market. Following the analysis, it was possible to present the structure and calculation method of the ceiling price set by ANRE and the relationship between the setted ceiling prices and market prices by comparing their evolution over time. The possible positive and negative effects of price regulation for this product catego
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Raporty organizacyjne na temat "Determinant of price"

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De, Prabir. Empirical Estimated of Trade Costs for Asia. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0011300.

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In this paper, the authors determine how policy and environmental barriers affect international trade, using data at 4-digit HS. The authors estimate a modified gravity equation, controlling for remoteness, for eight sectors in 10 Asian countries. Looking at the impact of the 'non-price' and 'price' factors on international trade, this paper finds that country's tariff, infrastructure quality and transport costs are the main three determinants for cross-country variations of trade flows. The major findings of the paper can be summarised as follows: (i) bilateral infrastructure quality is a pri
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Llopis, Jimena, José Juan Ruiz, Umberto Muratori, and Alejandro Izquierdo. In Search of Larger Per Capita Incomes: How To Prioritize across Productivity Determinants? Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011725.

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This study is a first contribution to prioritization across productivity determinant capabilities that attempts to obtain the equivalent of a "shadow price" for each of these capabilities by estimating their impact on the success a country may have in reaching higher income per capita groups. The prioritization of these determinants-spanning different sectors-seems to be specific to the income per capita group to which a country belongs. Moreover, empirical estimates reveal that interactions among sectors matter for increasing the probability of climbing up the income-per-capita ladder, reflec
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Kumar Verma, Akhilesh, and Kieran McQuinn. Assessing expectations of European house prices. ESRI, 2024. https://doi.org/10.26504/qec2024win_sa_verma.

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Using a new database of consumers’ expectations, this paper examines the nature of house price forecasts across a select sample of European Union (EU) member states for the period 2020 to 2024. Across many EU countries, post COVID-19, house price increases have been apparent. Therefore, understanding the dynamics of house price movements is especially important at this time. In particular, we examine the rationality or otherwise of consumers’ house price expectations, and then examine the relationship between the expectations and forecasts of key fundamental determinants of house prices, such
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Rud, Juan Pablo, Andres Fernandez, and Matías Busso. Firm Productivity as an Engine of Saving. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009285.

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This technical note considers whether low savings in Latin America and the Caribbean may result from low productivity rather than vice versa. Economies with low TFP growth tend to be economies in which returns to investments are low, with low saving rates as well. In that sense, low TFP growth, by providing weaker incentives to save, could be another determinant of the low saving rates observed in the region. Moreover, firms need to invest, which in turn requires that they can access financial markets. If instead, firms are constrained because of financial frictions, some entrepreneurs may hav
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Hasanov, Fakhri, Muhammad Javid, Jeyhun Mikayilov, Rami Shabaneh, Abdulelah Darandary, and Ryan Alyamani. Macroeconomic and Sectoral Effects of the Natural Gas Price: Policy Insights from a Macroeconometric Model. King Abdullah Petroleum Studies and Research Center, 2023. http://dx.doi.org/10.30573/ks--2022-dp22.

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Macroeconomic and sectoral assessment of the energy price reform (EPR) can provide policymakers with useful insights regarding price deregulation options. A key feature of this research that differentiates it from many other studies is its modeling framework. The framework first estimates how theoretically articulated determinants (e.g., income and price) historically shaped natural gas demand. Then, this estimated equation is integrated into a macroeconometric model called KGEMM to simulate the impact of natural gas prices on key macroeconomic and sectoral indicators that are of policy intere
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Luppold, William G., Jennifer M. Jacobsen, and Jennifer M. Jacobsen. The determinants of hardwood lumber price. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1985. http://dx.doi.org/10.2737/ne-rp-558.

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Capozza, Dennis, Patric Hendershott, Charlotte Mack, and Christopher Mayer. Determinants of Real House Price Dynamics. National Bureau of Economic Research, 2002. http://dx.doi.org/10.3386/w9262.

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Luppold, William G., Jennifer M. Jacobsen, and Jennifer M. Jacobsen. The determinants of hardwood lumber price. U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1985. http://dx.doi.org/10.2737/ne-rp-558.

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Lopez-de-Silane, Florencio. Determinants of Privatization Prices. National Bureau of Economic Research, 1996. http://dx.doi.org/10.3386/w5494.

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Cheung, Lydia, Jaqueson Galimberti, and Philip Vermeulen. Evidence on the Determinants and Variation of Idiosyncratic Risk in Housing Markets. Asian Development Bank, 2025. https://doi.org/10.22617/wps250202-2.

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This paper shows that housing idiosyncratic risk is time-varying, depends negatively on the house price, varies across locations, and decreases with the holding period. These systematic movements can be associated with information quality and offsetting factors in credit supply. While higher interest rates are associated with reduced idiosyncratic pricing, tighter deposit requirements are associated with higher risk. Idiosyncratic risk is positively associated with excess returns only through risk differences across house prices and holding periods, and not across time and regions.
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