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1

Baimai, Chaiwat, et Jose Luis Daniel. « Market Potential Estimation for Tourism in Emerging Markets ». PASOS Revista de turismo y patrimonio cultural 7, no 3 (2009) : 515–24. http://dx.doi.org/10.25145/j.pasos.2009.07.037.

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Waheeduzzaman, A. N. M. « Market Potential Estimation in International Markets : A Comparison of Methods ». Journal of Global Marketing 21, no 4 (19 septembre 2008) : 307–20. http://dx.doi.org/10.1080/08911760802206144.

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Wu, Ziqing, Raphaël Oger, Matthieu Lauras, Benoit Montreuil, Louis Faugère et Aymeric Libeau. « Market Potential Estimation Framework for Circular Economy ». IFAC-PapersOnLine 56, no 2 (2023) : 10333–38. http://dx.doi.org/10.1016/j.ifacol.2023.10.1043.

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Ermashkevich, Natalia, et A. Voronina. « The Method of Estimating International Market’s Potential From Perspective of Expansion ». Scientific Research and Development. Economics of the Firm 10, no 1 (8 avril 2021) : 65–73. http://dx.doi.org/10.12737/2306-627x-2021-10-1-65-73.

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Following article describes scoring method for international market from perspective of expansion, based on criteria’s that is widely used in economics and marketing. The idea of the method is estimating international market’s potential by using the criteria system and choosing most suited entering strategy by following an algorithm. Estimation of international market’s perspective contains quantitative data, for analyzing competition environment of sectorial market, possible targeted audience and logistics performance. The method can be used by any organization, regardless of its size or industry specifics, for estimating international’s market potential from perspective of expansion.
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Amita Sharma, Jolly Masih, et Ashish Sharma Jonathan Deutsch. « Study on Gap Estimation between Market Potential and Market share of Gluten-Free Market ». International Journal of Current Microbiology and Applied Sciences 6, no 4 (10 avril 2017) : 1954–61. http://dx.doi.org/10.20546/ijcmas.2017.604.233.

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Gnidchenko, A. A. « Estimating Russia’s export potential taking into account sales, logistics and production constraints ». Voprosy Ekonomiki, no 3 (2 mars 2025) : 5–28. https://doi.org/10.32609/0042-8736-2025-3-5-28.

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In this paper, we develop a strand of research on estimating Russia’s export potential in the two-fold manner. First, two forms of export potential with different driving forces are formulated and estimated separately: diversification potential pushed by moving to the related areas of product specialization, and inertial potential pulled by growing traditional destination markets. Second, we account for market, logistics and production constraints on implementing export potential, as well as for competition in the local markets. Diversification export potential equals $59 billion, while the 2 /3 of this amount is blocked mainly by production and sales constraints; inertial component of export potential is $46.7 billion, and more than 1 /4 of this amount is blocked by production constraints; estimation results are also detailed by industries, partner countries and regions of Russia. We highlight the important role of economic policy in ensuring the full implementation of the export potential (specifically, by eliminating production, market and logistics constraints).
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Eldomiaty, Tarek, Islam Azzam, Mostafa Fouad et Yasmeen Said. « The Use of Economic Indicators as Early Signals of Stock Market Progress : Perspectives from Market Potential Index ». International Journal of Financial Studies 12, no 1 (26 février 2024) : 21. http://dx.doi.org/10.3390/ijfs12010021.

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The progress of financial markets depends on the way world investors foresee the market potential of the country of choice. Countries that are associated with favorable economic incentives are able to motivate investments in their respective stock markets. The objective of this paper is to examine the role of the many economic components which constitute the Market Potential Index in enhancing stock market progress. The methodology goes through testing and estimation. The tests include linearity versus nonlinearity (RESET), normality, and cointegration. The estimation includes cointegration regression and discriminant analysis to distinguish between high and low stock market progress. This study examines unbalanced panel data that covers the years 1996–2022 for 54 countries where a stock market exists. The results show the following: (a) increases in people’s expenditure result in decreases in consumption of investment in financial securities; (b) the investments in infrastructure technology is positively associated with stock market progress; (c) the positive effect of economic freedom indicates that further adaptive trading regulations are beneficial to stock market progress; (d) increases in imports consume large proportions of people’s income, coming at the expense of investment in financial securities; (e) stock markets that are associated with high country risk are characterized by a positive risk–return tradeoff, i.e., a high risk premium; (f) the stock markets listed in the MPI can reach high progress by improving three indicators, namely commercial infrastructure, market receptivity, and country risk. This paper offers a thorough and unique examination of the institutional arrangements and stock market progress. The paper offers a guide to policy makers about how economic institutional arrangements can be promoted in order to reach high stock market progress.
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Marina, A., S. Spoelstra, H. A. Zondag et A. K. Wemmers. « An estimation of the European industrial heat pump market potential ». Renewable and Sustainable Energy Reviews 139 (avril 2021) : 110545. http://dx.doi.org/10.1016/j.rser.2020.110545.

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Halsnæs, Kirsten. « Market potential for Kyoto mechanisms—estimation of global market potential for co-operative greenhouse gas emission reduction policies ». Energy Policy 30, no 1 (janvier 2002) : 13–32. http://dx.doi.org/10.1016/s0301-4215(01)00056-8.

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Wang, Yanyu, Lingling Pei et Zhengxin Wang. « The NLS-based Grey Bass Model for Simulating New Product Diffusion ». International Journal of Market Research 59, no 5 (septembre 2017) : 655–69. http://dx.doi.org/10.2501/ijmr-2017-045.

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To solve the problems inherent in the existing Bass model, this paper develops a grey Bass model using a non-linear least squares method (NLS) and provides the whitenisation solution of differential equations. A Bass model exploits the specific advantage in simulating and predicting new product diffusion. Unfortunately, the existing Bass model has two problems: one lies in the conflict between the small sample support in new product diffusion and the large sample requirement in Bass model estimations; the other is over-reliance on the subjective experience in estimating potential market capacity. Although Wang et al. (2011) proposed the grey Bass model to solve the first problem, the second problem remains untouched. Based on this work by Wang and colleagues, the improved method described in this paper is not only suitable for the small sample situation, but also directly estimates potential market capacity. Using the WeChat case, the authors test the improved method's estimation and prediction effects. The results show that the estimations for internal coefficient, external coefficient and potential market capacity are all significant at the 1% level, and the prediction effect in grey theory critical level reaches level 1. Additionally, internal and external sample prediction are both consistent with the raw data and company report.
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Hamid, Abdul, Muhammad Said et Endah Meiria. « Potency and Prospect of Halal Market in Global Industry : An Empirical Analysis of Indonesia and United Kingdom ». Business and Management Studies 5, no 2 (25 avril 2019) : 54. http://dx.doi.org/10.11114/bms.v5i2.4167.

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This research aim to describe and prove the correlation and influence between market potency and market prospect to determine the appropriate strategy and policy for halal product market development in Indonesia compared with United Kingdom. The object of this research are total of potential consumer, percentage of buying consumer, average selling price, total of annual average consumption rate, profit estimation, and sales estimation of halal product market in each countries base on halal products and services into fiqh platform. This research use quantitative and qualitative method, which is in quantitative method using estimation of Fixed Effect Methods and the validity examined by AR and Jarque-Bera test. The result of this research find that sales in UK and RI are heavily dependent on changes in time and period in each Country indicated by PER_EFFECT, even though this analysis has used white heterocedasticity approach to eliminate that impact. Potentials and Prospects in the United Kingdom and the Republic of Indonesia have a positive and significant influence on Halal market and both countries have the same potential and prospective behaviour toward the Halal Market, although differing individual country and time or period.
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Burlankov, S. P., et S. A. Kuzmin. « Assessing Innovation Potential of the Agricultural Enterprise ». Vestnik of the Plekhanov Russian University of Economics, no 6 (18 décembre 2018) : 77–88. http://dx.doi.org/10.21686/2413-2829-2018-6-77-88.

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The article discusses different academic views on the assessment of innovation potential of the enterprise. Opinions of scientists in the field of management and assessment of the enterprise innovation potential served as a methodological foundation of the research. Researchers dealing with issues of innovation potential management developed qualitative and quantitative methods of potential estimation and formulated approaches to its assessment. The authors support the quantitative approach to assessment and estimation of innovation potential, therefore indicators have mainly mathematic expression. By studying methods of enterprise innovation potential estimation systematization of approaches was carried out. Different authors classified methods of estimation depending on needs of the market environment and on conceptual characteristic of the potential. The article revealed that the optimal methodology of estimation and management of innovation potential had not been formulated, thus we need approaches based on integral qualitative indicators, which can characterize the innovation potential.
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Afonso, Luís Eduardo, et Maria Pilar Varela Sepulveda. « Comprehensive Homeowners Microinsurance in Brazil : Estimation of Pricing and Market Potential ». Latin American Business Review 11, no 3 (octobre 2010) : 199–221. http://dx.doi.org/10.1080/10978526.2010.513257.

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Basavaraj Talawar et A. S. Talawar. « Density Estimation for Financial Fraud Detection : A Multivariate Kernel-Based Approach ». International Journal of Scientific Research in Science and Technology 12, no 1 (23 février 2025) : 676–95. https://doi.org/10.32628/ijsrst2512159.

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The detection of insider trading has become increasingly challenging due to the complexity of modern financial markets. This paper introduces a novel approach using Volume-Weighted Multivariate Kernel Density Estimation to identify potential insider trading activities. By integrating volume-weighting with the Kernel Density Estimation framework, this method effectively captures abnormal price-volume relationships, providing a sophisticated means to flag irregular trading behaviour. This paper proposes a robust approach using Volume-Weighted Multivariate Kernel Density Estimation to detect abnormal trading patterns linked to insider trading and this approach improves traditional Kernel Density Estimation by incorporating trading volume as a weighting factor, allowing it to capture the joint distribution of stock returns and trading volumes. The model’s application is tested on data from companies targeted by Hindenburg Research, including Nikola Corporation, Clover Health, and Adani Enterprises. The results show clear pre-event anomalies, including increased trading volumes and price movements preceding the report releases. By utilizing adaptive bandwidth selection, Volume-Weighted Multivariate Kernel Density Estimation balances bias and variance to refine detection of insider trading activities in both dense and sparse regions of the data. The emergence of reports from activist short-sellers like Hindenburg Research has triggered significant market reactions, often accompanied by allegations of insider trading. This methodology is highly sensitive to abnormal volumes that may signal preemptive insider trading ahead of major market events, such as the release of damaging reports. This research demonstrates that VW-MKDE offers enhanced sensitivity to volume-weighted deviations, enabling the detection of abnormal trading behavior associated with potential insider information. Our findings highlight the tool’s capacity to assist regulators and analysts in identifying suspicious market activities in real-time, particularly during periods of heightened market volatility and post-report market responses.
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Shkolnyk, Inna, Eugenia Bondarenko et Valery Balev. « Estimation of the capacity of the Ukrainian stock market’s risk insurance sector ». Insurance Markets and Companies 8, no 1 (24 novembre 2017) : 34–47. http://dx.doi.org/10.21511/ins.08(1).2017.04.

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The purpose of the article is to determine the degree of financial interaction between the stock and insurance market, or, in other words, to determine the potential capacity of the stock market’s risk insurance sector for the Ukrainian insurance market. The authors examine the insurance not of all possible risks on the stock market, but only the most potentially important for the development of the stock market at this stage of economic development: insurance of professional risks of depositories and insurance of individual investments of individuals – participants of the stock market. In order to calculate the capacity of the stock market’s risk insurance sector in the context of the two above mentioned types, the authors apply the models that are widely used in the economic-mathematical analysis. For mathematical calculations we used 31 absolute indicators of the characteristics of the state of the stock and insurance markets, as well as some macroeconomic indicators. When forming an array of input data for mathematical calculations we used annual values of absolute indicators for the period 2005–2015 were used. For the adequacy of the received calculations the normalization of the selected indicators was carried out. All indicators were divided into two groups: stimulators and de-stimulators. The normalization of stimulator indicators was carried out by the method of natural normalization, and of de-stimulator indicators – according to the Savage formula. The capacity of the segment of the new type of insurance was determined by the authors as the maximum possible amount of insurance premiums that insurers can get in the process of implementing a new insurance product based on the current state of development of the insurance market. The capacity of the sector of the new type of insurance was presented as a function of the main component (an indicator that directly characterizes the created segment) and the corrective component (a set of indicators characterizing the segments created indirectly). The weight coefficients of the corrective component were determined by using the Fischer’s formula. As a result of the calculations, the authors obtained the data on the prospects of simultaneous introduction for the stock and insurance markets of such types of insurance as a professional liability insurance of depositories and an insurance of individual investors on the stock market.
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Dekhtyar, Nadiya, Oksana Mazorenko et Maksym Serpukhov. « Estimation of Ukraine’s foreign trade structure in order to determine the areas of export potential ». Innovative Marketing 14, no 3 (8 décembre 2018) : 30–43. http://dx.doi.org/10.21511/im.14(3).2018.04.

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Now there is no single approach to the planning of normative indicators of the foreign trade structure and the optimization of foreign economic operations, including marketing mix, which consider the priorities of socio-economic development of the territories acting as the global market agents. The work proposes an expanded method for using the Grubel-Lloyd and Horvath indices when assessing the level of inter-industry trade, which will determine the priority fields of international cooperation in the process of developing a foreign economic strategy both at the state level and for an individual company interested in expanding the geography of trade in the global market via finding new partners and using non-discriminating marketing methods.The article reveals the existing trends in foreign trade of Ukraine that predispose current economic policy and foster the initiation of a new exporting strategy. Namely, the volume of total external debt exceeded GDP in 2014–2016; although a significant reduction of this ratio has been observed since 2017 due to the GDP shortening. Unfavorable trends were supplemented by the negative total balance of trade in goods and services in 2014–2018, with redistributing geographical structure in favor of the EU instead of the CIS countries (however, the exports in services, measured by absolute income, exceeded imports). The Grubel-Lloyd and Horvath indices, calculated for the recent trade data, proved a high level of diversification of Ukraine’s foreign economic activity, with significant intra-industry trade, but the scores of the Grubel-Lloyd index did not coincide by the geographical and commodity structure for the prevailing majority of countries. Nevertheless, new potential exporting destinations may be found, precisely because of the detected imbalances.
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M. S, Jagadeesh,, Vinay, H. T., Pavithra V., Abhishek, G. J., Veershetty., Anil Sidaray Chikkalaki. et Jahnavi A P. « India's Tea Export Potential : Stirring up Global Trade Opportunities ». Journal of Experimental Agriculture International 46, no 9 (1 septembre 2024) : 309–19. http://dx.doi.org/10.9734/jeai/2024/v46i92827.

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India's tea industry, a significant player in the global market, is poised for growth amidst evolving trade dynamics. This paper explores India's tea export potential by examining production, export trends, and competitiveness on a global scale. In 2022, global tea production reached 6,422 million kilograms, with China and India being the largest producers, while Kenya led in exports. India, the second-largest producer and fourth-largest exporter, shipped tea worth approximately USD 706 million, primarily to the UAE, Iraq, Russia, the USA, and the UK. Methodologically, this study utilizes a gravity model with PPML estimation to analyze India's tea exports to 173 trading partners from 2004 to 2021, addressing zero trade observations. Revealed Comparative Advantage (RCA) and Revealed Symmetric Comparative Advantage (RSCA) indices are employed to assess competitiveness, revealing an upward trend in India's comparative advantage. Transitional probabilities provide insights into shifting trade patterns, indicating significant market instability in countries like Germany and the UK. The analysis also includes estimation results highlighting the impact of GDP, geographical distance, population, and other factors on India's tea exports. Results demonstrate that India has considerable potential to expand tea exports to 118 countries, with high prospects in Uzbekistan, the USA, France, Hong Kong, and Italy. Current export strategies focus on saturated markets, underscoring the need to explore untapped regions to maximize trade opportunities. This study highlights the necessity for India to diversify its export destinations to enhance its global trade footprint and leverage its growing competitiveness in the tea sector.
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XINMENG, Han. « METHODICAL APPROACHES TO THE EXPORT POTENTIAL ESTIMATION OF AGRICULTURAL ENTERPRISES ». Ukrainian Journal of Applied Economics 4, no 3 (30 août 2019) : 131–38. http://dx.doi.org/10.36887/2415-8453-2019-3-15.

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Introduction. The lack of a unified methodology of the export potential assessing of agro-industrial enterprises poses some difficulties in the activities of export-oriented economic entities. This situation is conditioned by the subjectivity of the export potential concept, as well as the inability to establish a clear relationship between the enterprise export potential, the market export potential and the market enterprise position. The research purpose is to study the existing methodological approaches to the export potential assessment of agricultural enterprises. Results. The components of the enterprise export potential are determined. The model of export potential determination for the conditions of agrarian production is presented for the future. A set of indicators is described to characterize the export potential. The increase of role of the managing system in the enterprise international competitiveness is substantiated. The essence, purpose and peculiarities of managing the enterprise international competitiveness are outlined. The system structure of enterprise international competitiveness management (monitoring of competitive environment in the international market, assessment of the enterprise competitiveness level and their products, determining the mission of enterprise functioning, the strategy implementation of the international competitiveness management system, evaluation and control of the implementation results of the chosen strategy). The problematic aspects of the agricultural enterprise activity are identified in the process of managing international competitiveness. The measures aimed at improving the management of the international competitiveness of agricultural enterprises are characterized and substantiated. Conclusions. Assessing the export potential of agricultural enterprises is an important issue in the process of improving their export activities. Developing valuation approaches that take into account the specifics of the domestic and world economies will enhance the export potential of agricultural enterprises. This, in turn, will be the basis for developing the country's exports. Keywords: export potential, agrarian potential, economic potential, competitiveness, factors, agroindustrial production, export.
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Omotosho, Y., et L. Akinpelu. « Probabilistic Estimation of Potential Gas Reserves for the Emerging Nigerian Gas Market ». British Journal of Economics, Management & ; Trade 17, no 2 (10 janvier 2017) : 1–8. http://dx.doi.org/10.9734/bjemt/2017/32140.

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Durham, Catherine A., et Richard J. Sexton. « Oligopsony Potential in Agriculture : Residual Supply Estimation in California's Processing Tomato Market ». American Journal of Agricultural Economics 74, no 4 (novembre 1992) : 962–72. http://dx.doi.org/10.2307/1243194.

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Halkevych, Maryna, Natalya Kovalenko, Olena O. Yatsukh, Julia Shuldiner et Tatyana I. Bernevek. « Substantiation of methodological approach to the cost estimation of competitiveness potential of a transport enterprise ». International Journal of Agricultural Extension 10, no 2 (11 janvier 2022) : 17–26. http://dx.doi.org/10.33687/010.00.3854.

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The article addresses a methodological approach to the cost estimation of the competitiveness potential of a transport enterprise. The estimation of a transport enterprise's competitiveness involves several stages. The first stage defines the competitive status of a transport enterprise through the construction of a competitiveness matrix. The competitiveness coefficient of transportation service is defined at the second stage. Then the competitiveness of all services of transport enterprise is analyzed. The average value of competitiveness of all transport and related services is obtained through defining the estimation. To estimate the market cost of competitiveness potential appropriately, we determined competitiveness indicators and the cost of a transport enterprise. At the next stage of the given analysis, it is necessary to estimate how the aims and strategic plan for the development of the transport enterprise are achieved. The development efficiency, competencies implementation, and competitive advantages in the market were determined through a traditional approach (the effect and cost of the resources spent for obtaining efficiency).
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Yatsenko, Valeria. « ENTROPY INDICATORS FOR AN ESTIMATION OF CURRENCY RISKS ». Social Economics, no 67 (30 juin 2024) : 72–80. https://doi.org/10.26565/2524-2547-2024-67-07.

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As the world’s largest by-turnover financial market, foreign exchange market is undoubtedly an open, dynamic system. A wide range of variables influence it, i.e., political and economic factors, global shocks. Simultaneously, currency distress also affects the countries’ financial and real sectors. It determines the crucial importance of maintaining a stable, predictable exchange rate and, in the opposite case, effective currency risk management, requiring proper measurement. Since statistical methods of currency risk assessment do not always guarantee a reliable reflection of potential threats due to the noise in financial time series or irrational agents’ behaviour, it is necessary to search for alternative risk measurement methods. One way is by using tools of the theory of dynamic nonlinear systems, namely entropy indicators, such as Shannon and Renyi. Because of the high economic, or rather trade, openness, besides the hryvnia itself, we investigated currency fluctuations of the leading imported markets for domestic products. The reason is the potential transmission of shocks from these countries to Ukraine via various mechanisms. Counter-intuitively, a high entropy, implying more significant uncertainty, complexity, and unpredictability, simultaneously indicates more mature, efficient, self-organized systems. In contrast, lower entropy values would indicate inefficient markets exposed to shocks and even bifurcations, particularly crises. Moreover, we propose considering entropy as a reliable indicator of risks based on the statistical and economic significance of correlation coefficients with other qualitative characteristics of distributions of exchange rate returns - skewness and kurtosis. The results may help investors and portfolio managers better understand exchange rate dynamics, make effective managerial decisions, and minimize losses from unfavourable volatility.
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f, f., et f. f. « Strategy for Increasing Exports Through ICT Development and Potential Market Mapping : Case Study of Indonesia Labor Intensive Industries ». GLOBAL BUSINESS FINANCE REVIEW 29, no 1 (28 février 2024) : 115–28. http://dx.doi.org/10.17549/gbfr.2024.29.1.115.

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Purpose: This research aims to specifically identify the role of ICT in the export performance of Indonesia's la-bor-intensive industries and Mapping potential market for Indonesia's labor-intensive industries export. Design/methodology/approach: The analysis was carried out by developing a gravity model and estimated using the Pseudo Poisson Maximum-Likelihood (PPML) and Generalized Method of Moment (GMM) methods as robust-ness tests. Findings: The estimation results show that ICT, both from the quantity aspect and the quality aspect, has a positive and significant impact on the volume of Indonesian exports. The results of this estimation have been proven to be consistent through several tests by controlling the problems of endogeneity, simultaneity, and auto-correlation. Research limitations/implications: The model developed in the study tends to interact with variables from both countries, namely Indonesia as an exporter country and a partner country for importing Indonesian products. The application of this kind of interaction causes the results of the interpretation to be unable to specifically explain the effect of variables in each country. Originality/value: This study discussed the impact of ICT through the quality and quantity aspects, this study also used product-level data, so the interpretation results more specifically explained the impact of ICT. Further analysis in this study also contributes significantly to identifying which partner has a potential market as the main destination of Indonesia's exports.
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Lanfersieck, John, et Dale Squires. « Planning Models for Individual Transferable Quota Programs ». Canadian Journal of Fisheries and Aquatic Sciences 49, no 11 (1 novembre 1992) : 2313–21. http://dx.doi.org/10.1139/f92-254.

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This paper develops an approach to simulating markets for individual transferable quotas prior to their actual implementation. This approach is based on linear programming models for individual vessels that allow estimation of market derived demand for quota to simulate the expected equilibrium market price for quota and maximum quasi-rents for alternative quota allocations. The simulated price is an annual lease or rental price. The approach, applied to a sample of longline vessels targeting sablefish (Anoplopoma fimbria) in the Columbia INPFC area of the United States, indicates substantial potential gain in quasi-rent and economic efficiency from quota trade. The simulated quota exchange also indicates potential for concentration of quota. The quota market risks becoming thin, noisy, and hampered by noncompetitive forces, potentially requiring limits to quota transfer and concentration.
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M. Taraniuk, Leonid, Denys S. Kobyzskyi et Mark Thomson. « Estimation of the marketing potential of industrial enterprises in the period of re-engineering of business processes ». Problems and Perspectives in Management 16, no 2 (22 juin 2018) : 412–23. http://dx.doi.org/10.21511/ppm.16(2).2018.37.

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Activity of business entities requires a constant increase in the level of their economic potential and the level of competitiveness of the products on the market. This task can be fulfilled provided the concept of constant economic growth is formed in the activity of enterprises, which can be implemented through the management of changes in the economic activity of enterprises. One of the components is the marketing activity, which plays one of the leading roles in shaping the sustainable development of an industrial enterprise when carrying out transformational changes in its activity. These changes, which are the re-engineering of business processes, help the company management adapt to the changing market (marketing) environment and optimize the internal business processes. The relevance of the research is undeniable. The article presents the main directions of transition to the effective marketing activity in the period of re-engineering of industrial enterprises’ business processes based on the analysis of the main trends of marketing and innovation activities of economic entities from different countries. The authors developed the indices that characterize the marketing potential of the company during the business processes’ re-engineering. They proposed to use an integral index of the company’s marketing potential during radical transformations and to take effective management decisions based on the prevailing range of its criteria values when carrying out an economic estimation of the company’s marketing potential in the period of business processes’ re-engineering. The results obtained from the calculations demonstrate the final estimation of the industrial enterprise’s marketing potential during the business processes’ re-engineering, which allows the top management of the industrial company to determine the level of performance of the company marketing activity and make sound managerial decisions for its further development.
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Spejo, Lucas Barroso, Tanya Thekemuriyil et Renato Amaral Minamisawa. « Estimation of Energy-Saving Potential Using Commercial SiC Power Converters ». Energies 17, no 18 (12 septembre 2024) : 4570. http://dx.doi.org/10.3390/en17184570.

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This study evaluates the annual global energy-savings potential of various power electronics applications utilizing commercial silicon carbide (SiC) wide bandgap (WBG)-based power converters. As the first analysis to focus on real market products, our findings reveal that SiC-based converters offer significant energy-saving potential across all examined applications. Additionally, given the substantial yearly growth in installing photovoltaic (PV) systems and electric vehicle (EV) chargers, we project a considerable future energy-saving potential. This research underscores the importance of SiC technology in enhancing energy efficiency and supports its broader adoption in power electronics to achieve global energy savings.
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Ahn, Tom. « Strategic Matching of Teachers and Schools with (and without) Accountability Pressure ». Education Finance and Policy 12, no 4 (octobre 2017) : 516–35. http://dx.doi.org/10.1162/edfp_a_00205.

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Accountability systems are designed to introduce market pressures to increase efficiency in education. One potential channel by which this can occur is to match with effective teachers in the transfer market. I use a smooth maximum score estimator model, North Carolina data, and the state's bonus system to analyze how teachers and schools change matching behavior in response to accountability pressure. Schools under a high degree of accountability pressure match with teachers who are better at raising test scores. Estimation with a control year sample (when pressure was absent) bolsters these findings. Accountability pressure seems to motivate schools to compete for effective teachers.
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Wulan, Suryandani,. « ANALISIS HUBUNGAN INTEGRASI PASAR MODAL KAWASAN ASEAN-5 ». BBM (Buletin Bisnis & ; Manajemen) 4, no 1 (2 février 2018) : 15. https://doi.org/10.47686/bbm.v4i1.147.

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ASEAN is an intergovernmental organization in Shouteast Asia, working together on economic and political issues. With the establishment of economic relations, one of them in the field of capital market will give effect to the movement of capital market indices in each country in the ASEAN region. Knowing the integration of capital market in ASEAN region can help investors in determining which capital markets will be used to form international diversification so that it can give potential benefits. In this study analyzed the level of capital market integration between ASEAN-5 capital markets from 2006 to 2017 years. The method of analysis used in this study is the Augmented Dickey Fuller (ADF), Johansen Cointegration, VAR estimation (Vector Auto Regression), and Granger Causality Test. By using this method of analysis it is concluded that there is a long term relationship between capital market integration in ASEAN-5. And in this study we found that there is a causal relationship between capital market in ASEAN-5, although not entirely. Keywords : Capital Market Integration, Augmented Dickey Fuller, VAR Estimate, Granger Causality, Johansen Cointegration, International Diversification, ASEAN
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Solakivi, Tomi, Lauri Ojala, Harri Lorentz, Juuso Töyli et Sini Laari. « Estimating the size of the national logistics market ». International Journal of Physical Distribution & ; Logistics Management 48, no 5 (4 juin 2018) : 488–503. http://dx.doi.org/10.1108/ijpdlm-01-2018-0032.

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PurposeThe size of the logistics market is typically estimated from the national accounting and market data. However, this data does not take certain in-house logistics services into account and most likely underestimates the true size of the market. The purpose of this paper is to develop a method for estimating the potential size of the logistics market in terms of overall logistics expenditure and to also account for in-house services.Design/methodology/approachThe research approach involves combining longitudinal industry- and firm-level turnover data, incorporating survey data from Finland on logistics outsourcing and costs, and calculating yearly logistics expenditure and the market demand for logistics services. Descriptive statistics, weighted arithmetic means and analyses of variance are employed in the estimations.FindingsThe research suggests and demonstrates a rigorous method for estimating the size of the logistics market, including both market-based demand and in-house services.Research limitations/implicationsThe empirical data used to illustrate the result are limited to a single country. The methodology should be further validated with data from other countries. The quality of the survey data could be improved by targeting multiple informants from a single firm.Social implicationsOne outcome of the research is that policymakers will be better able to estimate the size of the logistics market on a national level. For service providers, the results provide additional information on the market potential of logistics services.Originality/valueThe novelty of the research lies in combining multiple data sources and expanding the estimation of the logistics market to include services provided in-house.
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Malik, Muhammad Shaukat, Mustabsar Awais, Waqar Ul Hassan, Faisal Hayat, Shahbaz Hussain et Aisha Khursheed. « Dual Perspective of Inflation toward Market Development ». International Journal of Economics and Finance 8, no 3 (26 février 2016) : 225. http://dx.doi.org/10.5539/ijef.v8n3p225.

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Stock markets are reflector of trade and economic prosperity across the globe, it comprised of multiple physical and mental components. Economists featured investors and their handsome cash balances among fundamental elements of capital markets. Financial experts along with practitioners developed economic models to engage shareholders by portraiting historical performance and future banefits of securities. Present study attempted to investigate the potential of inflation rate for casuing market returns under the concept of Ross (1976) pricing theory. CPI is used as proxy of inflation and KSE returns for measuring securities behaviours. Low inflationary (2000-2004) and High inflationary (2010-2014) durations as sample periods are privileged to empirically examine twofold intensity of CPI toward index of Pakistani markets. Linear regression analysis declared inflation rate as poor model for estimation of capital market returns, furthermore CPI resulted significant as well as insignificant casual relationship with positive and negative intensity toward KSE returns.
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Alatawneh, Anas, et Adam Torok. « Potential autonomous vehicle ownership growth in Hungary using the Gompertz model ». Production Engineering Archives 29, no 2 (26 avril 2023) : 155–61. http://dx.doi.org/10.30657/pea.2023.29.18.

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Abstract Autonomous Vehicles (AVs) are anticipated to bring forth a multitude of advantages for upcoming mobility.These potential benefits and many others vary substantially by the market share of AVs. There are several articles that investigated AV market share with a variety of methods, however, they show a huge variation depending on the market specifications. The aim of this research is to calculate private AV adoption rates over time depending on the Hungarian automobile market characteristics. The research empirically estimates, using the Gompertz function, the projected growth rates of private autonomous passenger vehicles in Hungary using historical patterns of human-driven vehicle ownership data on the basis of projected per capita GDP.The study's findings suggest that, in an optimistic and moderate scenario, the Hungarian car market is projected to become saturated due to AVs by 2067 and 2076, respectively. However, a pessimistic estimation indicates that saturation is unlikely to occur before 2100. This study’s contribution to the literature is through a mathematical approach that predicts AVs market penetration rate and saturation year, in which the assumptions and the used parameters of the model can be modified depending on different case studies, or they can be updated due to the advancement in technology and improvement in knowledge of the studied market.
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Wang, Ke, Yujiao Xian, Jieming Zhang, Yi Li et Linan Che. « Potential carbon emission abatement cost recovery from carbon emission trading in China ». Journal of Modelling in Management 11, no 3 (8 août 2016) : 842–54. http://dx.doi.org/10.1108/jm2-03-2016-0027.

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Purpose This study aims to provide an estimation of carbon dioxide (CO2) emission abatement costs in China’s industry sector during the period of 2006-2010, and additionally provide an ex-post estimation of CO2 abatement cost savings that would be realized if carbon emission permits trading among different industry sectors of 30 provinces in China during the same period were allowed, to answer the question that whether the industrial carbon emission abatement cost can (partially) be recovered from carbon emission trading in China. Design/methodology/approach The joint production framework associated with the environmental technology is utilized for formulating the models for estimating abatement costs and simulating emission permits trading scheme. Several data envelopment analysis-based models that could deal with both the desirable and undesirable outputs within the above framework are utilized for abatement cost saving estimation. The weak disposability assumption and variable returns to scale assumption are applied in the modelling. Findings In China’s industry sector, during 2006-2010, the estimated CO2 emission abatement cost was 1,842 billion yuan, which accounts for 2.45 per cent of China’s total industrial output value; the emission abatement cost saving from emission permits trading would be 315 billion yuan, which accounts for 17.12 per cent of the emission opportunity abatement cost; and additional 1,065.95 million tonnes of CO2 emission reductions would be realized from emission permits trading, and this accounts for 4.75 per cent of the total industrial CO2 emissions. Research limitations/implications The estimation is implemented at the regional level, i.e. the emission permits trading subjects are the whole industry sectors in different Chinese provinces, because of the data limitation in this study. Further estimation could be implemented at the enterprise level to provide a deeper insight into the abatement cost recovery from emission permits trading. Practical implications The estimation models and calculation process introduced in this study could be applied for evaluating the efficiency and effectiveness of pollutant emission permits trading schemes from the perspective that whether these market-based abatement policy instruments help to realize the potential abatement cost savings. Originality/value To the best of the authors’ knowledge, no study has provided the estimation of CO2 emission abatement cost and the estimation of CO2 abatement cost saving effect from emission permits trading for China’s industry sector. This study provides the first attempt to fill this research gap.
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Wang, Haoyang. « The Impact of Stochastic Volatility on Option Pricing Using the Black-Scholes Model : Empirical Evidence from NVIDIA ». Advances in Economics, Management and Political Sciences 94, no 1 (27 août 2024) : 98–104. http://dx.doi.org/10.54254/2754-1169/94/2024ox0138.

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This paper investigates the impact of volatility on option pricing using the Black-Scholes model. Utilizing historical stock and option data from NVIDIA, this study demonstrates the limitations of the Black-Scholes model in capturing dynamic market conditions. The empirical analysis reveals significant discrepancies between model predictions and actual market prices, highlighting the importance of accurate volatility estimation. The findings suggest that incorporating better volatility measures can improve the accuracy of option pricing models. Additionally, the implications of these findings for traders and risk managers are discussed, emphasizing the need for more sophisticated approaches to volatility estimation in financial markets. This study adds to the body of knowledge by presenting actual data regarding the efficiency of different volatility metrics in option pricing. Moreover, it underscores the necessity of continuous improvement in financial modeling techniques to adapt to changing market dynamics. The study's results align with previous research that has shown the limitations of the Black-Scholes model and the benefits of alternative volatility estimation methods. This paper also discusses the potential application of these findings to improving trading strategies and risk management practices. The practical implications are significant, suggesting that traders and risk managers should consider incorporating advanced volatility measures into their models to enhance decision-making processes and financial outcomes. The conclusions drawn from this study highlight the critical role of accurate volatility estimation in achieving more reliable option pricing and underscore the need for ongoing research and innovation in this field.
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Cellmer, Radosław. « Local Amenities – Spatial Modelling of Market Potential Based on Open Data ». Real Estate Management and Valuation 31, no 4 (1 décembre 2023) : 57–64. http://dx.doi.org/10.2478/remav-2023-0030.

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Abstract This paper presents the concept and methodology for assessing the market potential of local convenience shops in spatial terms. The methods concerned are based on spatial analyses using information derived from open data concerning local population density and competing establishments. The study focused on four main stages, including the estimation of shop density, population density, the compilation of a market potential map, and data reclassification to identify the potential for the location of new shops. The area under study comprised three cities: Łódź, Poznań, and Wrocław. The results of the study suggest that a high market potential does not concern the most populated areas but less populated ones, which is mainly due to much less competition. It was also indicated that the study may serve an important role in terms of sustainable urban development and an improvement in the inhabitants’ quality of life.
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Sasatani, Daisuke, et Ivan L. Eastin. « Demand Curve Estimation of Locally Produced Woody Biomass Products ». Applied Engineering in Agriculture 34, no 1 (2018) : 145–55. http://dx.doi.org/10.13031/aea.12392.

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Abstract. The goal of the Waste-to-Wisdom project is to produce and sell value-added products derived from post-harvest forest residues including wood briquettes, torrefied briquettes, and biochar. The consumer demand for these products (i.e., market size) determines the success of manufacturers especially when the location of production is far away from a population center and the producer is a price taker. Consumers are often scattered and transportation costs from the factory to retail stores lower the net sales revenue at the plant. The objective of this study was to estimate the demand curves and the associated revenue functions of the bioenergy products in five case locations applying a market-based analysis. We first estimated the size of the potential market for the products in each location and then assumed a market penetration rate to estimate consumer demand. This information was used to develop a set of mathematical functions based on deductive logic. Plugging presumable values based on scenario assumptions into the models contributes to the economic feasibility studies. Keywords: Biochar, Forest products marketing, Market penetration rate, Price skimming strategy, Wood briquette.
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Wallace, Ryan J., Stephen Rice, Sang-A. Lee et Scott R. Winter. « Unveiling Potential Industry Analytics Provided by Unmanned Aircraft System Remote Identification : A Case Study Using Aeroscope ». Drones 8, no 8 (16 août 2024) : 402. http://dx.doi.org/10.3390/drones8080402.

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The rapid proliferation of unmanned aircraft systems (UAS), commonly known as drones, across various industries, government applications, and recreational use necessitates a deeper understanding of their utilization and market trends. This research leverages UAS detection technology—specifically DJI’s Aeroscope—to track serial numbers and predict product usage, market penetration, and population estimation. By analyzing three years of data from Aeroscope sensors deployed around a major airport in the Southern United States, this study provides valuable insights into UAS operational patterns and platform lifespans. The findings reveal trends in platform utilization, the impact of new product releases, and the decline in legacy platform use. This offers critical data for informed decision-making in market trends, product development, and resource allocation.
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LeSage, James P., et Andrew Solocha. « The Impact Of Weekly Money Supply Announcements ON Stock Market Returns : A Multiprocess Mixture Model Approach ». Journal of Applied Business Research (JABR) 9, no 3 (29 septembre 2011) : 100. http://dx.doi.org/10.19030/jabr.v9i3.6045.

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This study provides evidence concerning the impact of anticipated and unanticipated components of the weekly money supply announcements on stock market returns in the United States and Canada on the date after the announcement. The innovative aspect of this study is the use of a multiprocess mixture model recently proposed by Gordon and Smith (1990) for modeling time series that are subject to several forms of potential discontinuous change and outliers. The technique involves running multiple models in parallel with recursive Bayesian updating procedures which extend the standard Kalman filter. The results provide strong evidence in favor of the efficient markets hypothesis that only the unanticipated component of the money supply announcement influences the stock market returns in both the United States and Canada.The use of OLS estimated in the present study produces results which suggest that both anticipated and unanticipated components of the money supply announcement exert a statistically significant influence on stock market returns in both countries. In contract, the multiprocess mixture model estimation method produces results which support the efficient markets hypothesis. The difference in findings between OLS and multiprocess estimation methods is attributed to the ability of the multiprocess techniques to model discontinuous structural shifts in the parameters and accommodate outliers in the stock return-weekly money relationship. The multiprocess mixture method provides evidence that numerous discontinuities and outliers exist in the stock market returns-weekly money relation and produces posterior probabilities for the multiple models running in parallel. These probabilities suggest that the OLS model has low posterior probability relative to the structural shift and outlier models which suggest poor inferences regarding the significance of anticipated and unanticipated money arise from the use of OLS estimation techniques.
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Suroso, Arif Imam, Idqan Fahmi, Hansen Tandra et Adi Haryono. « The Effect of Internet Development on Indonesia’s Agri-Food Export Potential in the Global Market ». AGRARIS : Journal of Agribusiness and Rural Development Research 10, no 1 (7 juin 2024) : 34–54. http://dx.doi.org/10.18196/agraris.v10i1.262.

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The Internet has become essential in increasing output between corporate and country levels. However, the impact of the Internet on trading potential still needs to be known. On the other hand, Indonesia has great potential to export agricultural food products in global trade. Therefore, the relationship between the Internet development and agri-food export potential could be explored. This study aims to investigate the effect of Internet development on Indonesia’s export potential in the global market. The export potential estimation was measured using gravity estimation in 124 destination countries from 2010 to 2020. Furthermore, the panel regression was employed to determine the three indicators of Internet development: Internet users, secure Internet servers, and fixed broadband subscriptions on Indonesia’s agricultural export potential. This study also utilized simulation due to the possibility of rising the number of Internet indicators. The results revealed several positive factors of Indonesia’s agricultural exports, such as importers’ gross domestic bruto (GDP), contagious border, and colonial relationship. Otherwise, geographical distance, exchange rate, and being a landlocked country negatively affected Indonesia’s agricultural exports. Indonesia possessed a greater potential for agricultural exports in Europe, especially in the conditions of emerging and developing economies. There were 85 destination countries with higher potential for Indonesia’s agri-food export. Additionally, Internet users and secure Internet servers positively influenced the agricultural export potential to target countries. The simulation revealed that improving Internet indicators boosted the new market rather than raising the export value to target countries.
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Wigan, Marcus, Anthony J. Richardson et Paris Brunton. « Simplified Estimation of Demand for Nonmotorized Trails Using Geographic Information Systems ». Transportation Research Record : Journal of the Transportation Research Board 1636, no 1 (janvier 1998) : 47–55. http://dx.doi.org/10.3141/1636-08.

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Estimating off-road trail usage by nonmotorized modes is of increasing interest to the transportation community due to the rising importance of both recreational and nonmotorized travel. Demand patterns for two substantial off-road trails in Melbourne, Australia, were examined using survey and modeling methods to establish the potential for higher levels of demand. The two trails were different in two major respects: one was well promoted, well connected, and a destination in its own right; the other had similar potential, but the linkages and promotional activity to market its assets had not yet been undertaken. The characteristics of these two markets were examined using geographic information systems (GIS) methods and demand estimated on a differential basis using GIS tools. The simple method adopted highlighted the critical nature of marketing a connected series of off-road trails as a single unified route and an easily recognized destination area. The study had to be done using existing data, and it provides a means of combining transportation, GIS, and special-purpose off-road trail usage information to estimate potential demand.
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Sabanov, Sergei, Alar Konist et Ruslana Korshunova. « Analysis of Kazakhstan Oil Shale Deposits in Accordance with Resource Estimation Practices for Consideration of Potential Shale Oil Reserves ». Energies 18, no 3 (29 janvier 2025) : 621. https://doi.org/10.3390/en18030621.

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Most oil shale deposits in Kazakhstan were estimated without detailed calculations of the grade and tonnages and included low confidence categories, i.e., Inferred, Off-Balance, and Non-Economic oil shales, on which cannot be given any oil reserves. An analysis of Kazakhstan oil shale deposits in accordance with resource estimation practices for consideration of potential shale oil tonnages has been produced. The developed methodology considers extraction and processing recoveries of conventional and unconventional mining methods. The methodology uses Monte Carlo modeling to estimate a range of oil content and oil recoveries and uses the event tree analysis to demonstrate how the initial oil shale material tonnages and grades go through various fault and success branches, considering probabilities distributions and estimating potential shale oil tones at the end. As a result, this estimation methodology has been validated by high-ranked resource category oil shale deposits, which demonstrated the range of potential shale oil in the range of 10.7–16.8 Mt at the 50% confidence level. The results will be used for further consideration in financial-economic feasibility studies, which must take into account operational and capital expenses, product sale prices and market, and social-environmental aspects.
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Manocha, R. « Determinants of Foreign Direct Investment in India and Retail Sector Liberalization : A GMM Estimation ». International Journal of Accounting and Business Finance 9, no 1 (12 juillet 2023) : 27–59. http://dx.doi.org/10.4038/ijabf.v9i1.132.

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India has one of the largest retail markets in the world. In order to channelize the huge potential of Indian retail sector and to provide best of the cosmopolitan culture to the fast-growing Indian retail market and to stimulate India’s FDI inflows, the Government of India has systematically liberalized FDI in the retail sector since 2006. The present study incorporates retail sector liberalization measures as one of the institutional changes and tries to empirically examine the impact of institutional changes on India’s FDI inflows. Along with the conventional determinants of FDI, extended institutional variable has been incorporated in order to study the inflows from 21 investing countries for the period 2001-2020. The results were captured by employing fixed effects, random effects, and GMM (two-step) estimation. The study suggested a positive and significant coefficient for extended market size, economic freedom index, and extended institutional variable whereas inflation was found to have a significant and negative impact on India’s FDI inflows.
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Kolokolchykova, Iryna, Roman Oleksenko, Nina Rybalchenko, Liudmyla Yefimenko et Ganna Ortina. « Perceive of organic products by Ukrainian consumers and problems of shaping market demand ». Revista Amazonia Investiga 10, no 39 (5 mai 2021) : 169–77. http://dx.doi.org/10.34069/ai/2021.39.03.16.

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Organic production is a decisive factor in preserving the natural wealth and fertility of soils, a source of food security. The market demand formation depends on the organic products perception and consumer preferences of potential buyers. Potential organic production research questions in Ukraine with an estimation of buyers consumption readiness of production are actual. These problens raise issues that need to be addressed. The reseafch evaluates the Ukrainian organic market development, identifies current trends in organic production with its capabilities in domestic and foreign markets, assesses the main donors of organic movement for the country, reveals the consumer demand formation for products through analysis of main motives and incentives, the organic products perception level by Ukrainian consumers and the influence strength on the demand formation. The methodological approach substantiates the selected problems of product consumption and ways to solve them through the economic and management theories applications, dialectical method, abstract method – logical analysis, critical thinking, systematization and formalization method, survey, expert assessments, method of logical analysis, forecasting. The methods application allowed assessing the organic products market and its operators, to identify segments, to model their behavior with an emphasis on strengthening consumer motivation. The research effectiveness is to find ways to strengthen the market demand formation for organic products within the country and its position in international markets, reduce production risks and address the perception of organic products.
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Hailu, Addisu. « Rice Farmgate Price Estimation and Collection Modality in Oromia, Ethiopia ». American Journal of Operations Management and Information Systems 9, no 2 (27 août 2024) : 25–33. http://dx.doi.org/10.11648/j.ajomis.20240902.11.

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The main aim of this analysis to estimate minimum farmgate price for paddy rice and to indicate paddy rice collection modalities from farmers and provide an overview of current rice production status in Oromia. Rice (Oryza sativa) is one of the most stable foods and expected to contribute to ensuring food security in Ethiopia. The success of rice production depends somewhat on its high yield potential, processing technologies and marketing facilities. Improving rice production and productivity as well as facilitating its processing and marketing access is therefore one of a key part of the economic growth strategies in the Oromia government’s food self-sufficiency initiatives. Both local production and import are the two key sources of rice grain supply and meet consumption demand of Oromia people. Consumption trends in Oromia as well as in Ethiopia have shown a substantial increase from time to time. Using a quantitative secondary data and a review of existing literature, this study provides an overview of the rice production and estimating the farmgate price of paddy rice. The study stresses the need for estimation of farmgate price, formulation of rice processing technologies and market-enhancing policies, such as supplying and installing rice processing technologies, better access to market facilities and market information and to improve rice productivity.
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Kucher, Oleg, et Liliia Prokopchuk. « Economic aspects of biomass market development in Ukraine ». E3S Web of Conferences 154 (2020) : 01007. http://dx.doi.org/10.1051/e3sconf/202015401007.

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The article considers the state and prospects of bioenergetics development in the context of rationalization of the use of available natural resource potential of Ukraine. It is determined that one of the most perspective renewable energy sources is biomass, the main component of which is by-product of plant growing. It is noted that the use of by-products of crop production for receiving heat energy is a rational way to utilize their surpluses that are not used for other purposes of agriculture. The existing resource potential of this agricultural biomass and source of its obtainment were characterized. An estimation of the potential of this type of biomass up to 2025, which can be used for thermal power engineering was made. It was noted that the effective use of biomass potential of agricultural enterprises is possible in case of creation of the appropriate mechanism, a set of management decisions aimed at solving the energy issue. The structure of the formation of the economic model of the influence of factors on the state of the use of by-products of crop production in thermal power engineering was proposed.
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Winanda, Rara Sandhy, Yasyfin Ikrima Khairani et Fajar Wisga Permana. « ASSESSING UNEMPLOYMENT RATES IN TANAH DATAR REGENCY : INSIGHTS FROM SMALL AREA ESTIMATION ». BAREKENG : Jurnal Ilmu Matematika dan Terapan 19, no 2 (1 avril 2025) : 1433–44. https://doi.org/10.30598/barekengvol19iss2pp1433-1444.

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Unemployment is a significant issue in Indonesia's labor market. The unemployment rate is measured by the Open Unemployment Rate (OUR) through the National Labor Force Survey (SAKERNAS) conducted by BPS. In 2022, the OUR in Tanah Datar District reached its highest level in the past fifteen years. This rise in unemployment contrasts with the declining poverty rate, unlike other districts/cities in West Sumatra. To address the increasing unemployment, detailed information at the smallest administrative level is necessary. However, because the limited sample size in SAKERNAS does not allow for direct estimation of the OUR with sufficient accuracy, this study aims to overcome this limitation by estimating the OUR at the subdistrict level using indirect estimation through Small Area Estimation (SAE). The SAE method applied is Empirical Best Linear Unbiased Prediction (EBLUP), using the Restricted Maximum Likelihood (REML) estimation model. This research uses secondary data obtained from the National Labor Force Survey (SAKERNAS) of Tanah Datar Regency for the August 2022 period and the Village Potential data (PODES) of Tanah Datar Regency in 2021. The findings indicate that three subdistricts—Pariangan, Lintau Buo Utara, and Padang Ganting—have higher OUR values than Tanah Datar Regency in 2022, with rates of 6.00%, 6.01%, and 11.03%, respectively. The factor that influences the high OUR in these sub-districts is the variable percentage of the male population, which in this model has a large contribution to the calculation of OUR. The indirect estimations using EBLUP are deemed reliable, as the RSE value is below 25%. Therefore, the EBLUP indirect estimation results for OUR at the subdistrict level in Tanah Datar Regency can guide local government efforts to take targeted actions to reduce unemployment, especially in areas with high OUR.
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Nkam, Fonkam Mongwa, Akume Daniel Akume et Molem Christopher Sama. « Macroeconomic Drivers of Private Equity Penetration in Sub-Saharan African Countries ». International Business Research 13, no 1 (19 décembre 2019) : 192. http://dx.doi.org/10.5539/ibr.v13n1p192.

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The objective of this study is to investigate in to the drivers of private equity penetration in Cameroon, Nigeria, Ghana, Kenya and South Africa. Secondary data was collected from private equity and venture capital data bases (CapitalIQ, Preqin, Burgiss and Mergermarket), World Bank development indicators, regional private equity and venture capital associations and country specific stock market websites. The Panel Two-Stage Least Squares Instrumental Variables (2SLS IV), Panel Corrected Standard Errors (PCSE) and Feasible Generalised Least Squares (FGLS) estimation techniques were used. This was due to potential problems of endogeneity and spherical errors of serial correlation, heteroskedasticity, cross sectional dependence and multicollinearity. The results using the 2SLS IV estimation technique show that stock market capitalisation, GDP per capita, banking credit to private sector, real exchange rate and private investments are key macroeconomic drivers of private equity penetration in the selected Sub-Saharan African countries. Inflation had negative and insignificant effect on private equity penetration in the selected countries. The results using the PCSE and FGLS estimation techniques show that the signs of all the variables remain the same as was the case in the 2SLS IV estimation technique though the magnitudes were different. However, the results of PCSE and FGLS estimation techniques show that banking credit to private sector is significant in the FGLS model while private investments is significant in the PCSE model. GDP per capita, real exchange rate, stock market capitalisation and inflation are significant in both the PCSE and FGLS estimation techniques.
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Thees, Oliver, Edgar Kaufmann, Renato Lemm et Anton Bürgi. « Energieholzpotenziale im Schweizer Wald ». Schweizerische Zeitschrift fur Forstwesen 164, no 12 (1 décembre 2013) : 351–64. http://dx.doi.org/10.3188/szf.2013.0351.

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Energy wood potential of the Swiss forest In this article the wood energy potential of the Swiss forest is estimated on the basis of the third Swiss forest inventory (elicitations from 2004 till 2006). The estimation is based on four scenarios of usage intensity and on two wood market situations. Furthermore, the wood energy potentials are analysed by production regions, forest ownership, strength classes, tree compartments, harvesting methods and costs. The minimum technical potential in Switzerland is 3.1 million m3 of solid wood and brushwood per year (usage scenario: “as before”, not very energy-wood-friendly market), the maximum is 7.3 million m3 per year (usage scenario: “75% more usage”, which is associated with a significant reduction in stocks; very energy-wood-friendly market). As a rough benchmark we can assume a technical potential of 4 million m3 of solid wood and brushwood, which can be used on average without any reduction in stocks. Actually about 60% of it is currently harvested. The article shows that while additional energy wood potentials can be tapped, the energy wood can only make a small contribution to the total Swiss energy production, which is moreover relatively expensive to implement. Therefore an efficient and value-added use of the resource is especially important.
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Choi, Jong Hae. « DEMAND ESTIMATION FOR A NEW AIR ROUTE ». Journal of Air Transport Studies 7, no 1 (1 janvier 2016) : 49–70. http://dx.doi.org/10.38008/jats.v7i1.52.

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Network connectivity is core competitiveness of the aviation industry and opening a new route is one of critical ways to enhance network competitiveness. As many airport operators are becoming more interested in attracting airlines, there are vast needs to discuss the methods for estimating (predicting) potential demands for a new flight route or by increasing flight frequencies in existing routes.This study explores demand estimation models for a new air route. Similar to previous studies, this study classified potential demand for a new air route into four types (Local, Beyond, Behind and Bridge). Explanatory variables are identified and constructed for each type of demand, including distance, relative capacity compared with adjacent airports and detour ratio as main independent variables. One of the strengths of the suggested demand models can distinguish the generated demand from the converted or re-distributed demand. Based on this, the model is meaningful for an airport operator to develop an airport policy such as airport-usage charges and incentives to attract airlines.On the other hand, because of the strong recognition that demand estimation for a new air route is the area of airlines that decide on whether or not to introduce a new route, simply developing demand estimation models from the perspective of an airport operator is not sufficient. Therefore this study is considered as the initial step for an airport operator in its efforts to attract airlines and market new air routes to enhance network connectivity of its airport.
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Montuori, Lina, et Manuel Alcázar-Ortega. « District Heating as Demand Response Aggregator : Estimation of the Flexible Potential in the Italian Peninsula ». Energies 14, no 21 (28 octobre 2021) : 7052. http://dx.doi.org/10.3390/en14217052.

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The liberalization of the gas market has deeply affected the structure of the gas system. The change from a vertically integrated utility structure to a liberalized architecture has resulted in a new network asset where aggregators could play a key role. To enable aggregators’ functionalities, the gas system has moved to a smart configuration. The development of this Advanced Metering Infrastructure (AMI) allowing a two-way communication between the utility and the consumers, together with demand response programs, prove to be an advantageous solution. Utilities are allowed to manage consumers’ gas load by asking them to reduce or shift their gas usage so that rebates or back payments could be available for consumers. In this framework, aimed at ensuring the feasibility of the gas system and promoting the aggregation of small gas loads, a new agent has been identified. In this research, the potential of district heating systems as gas market aggregators, together with a novel architecture for the gas network system has been identified. Furthermore, DR benefits in natural gas systems have been assessed with a focus on the Italian peninsula, where the authors have already carried out a previous analysis in this regard.
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Izotov, Dmitry. « Comparative Trade Potential of Northeast Asian Countries ». Regionalistica 11, no 4 (2024) : 5–23. http://dx.doi.org/10.14530/reg.2024.4.5.

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The purpose of the study is to assess the comparative trade potential of Northeast Asian countries based on the border effect estimation. In general, intraregional trade in North-East Asia (NEA) was less intensive than NEA trade with other countries. This indicates high trade barriers between NEA countries. It was determined that the reduction of trade barriers between China, Japan and the Republic of Korea can increase the total trade turnover of NEA. It was found that access to the Chinese market, as well as the inflow of Chinese direct investment in cooperation projects, can significantly increase the foreign trade of Russia and Mongolia. The estimates of the border effect for the DPRK indicated the close relations of its economy with the Chinese market, as well as North Korea’s foreign trade could significantly increase in the event of reduction high trade barriers with the Republic of Korea. The assessments indicated the existence of economic conditions for expanding trade in NEA, and China is a «connecting link» between the NEA countries. However, political conflicts between some NEA countries, as well as the political and economic influence of other countries, significantly complicate the implementation of the existing trade potential of the sub-global region
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