Relevant bibliographies by topics / Research, Industrial – Econometric models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Research, Industrial – Econometric models'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Research, Industrial – Econometric models"

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Huang, Weixuan, and Shijia Shao. "Research on Sustainable Economic Development Model Based on Clean Energy." Journal of Environmental & Earth Sciences 7, no. 4 (2025): 246–65. https://doi.org/10.30564/jees.v7i4.8395.

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Based on panel data from 31 Chinese provinces during 2010–2022, this study constructs a systematic theoretical framework incorporating clean energy investment, technological innovation, industrial structure optimization, and environmental governance, employing spatial econometric and threshold effect models to examine the impact mechanisms of clean energy development on sustainable economic growth. The findings reveal that clean energy development has a significant promoting effect on sustainable economic growth (impact coefficient 0.437) and generates notable spatial spillover effects (coeffi
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Lin, MeiTing, and Chun Xu. "Research on the Influence of Digital Economy on the Upgrading of Industrial Structure." Advances in Economics and Management Research 3, no. 1 (2022): 82. http://dx.doi.org/10.56028/aemr.3.1.82.

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Based on the provincial panel data of China from 2013 to 2019, this paper calculates the comprehensive index of digital economy development, constructs a variety of econometric models, and discusses the effect and influence mechanism of digital economy on industrial structure upgrading. It is found that the digital economy has a significant positive effect on the upgrading of industrial structure; Digital economy promotes the upgrading of industrial structure by promoting technological innovation; According to the regional inspection, the effect of digital economy on industrial structure upgra
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Ploegmakers, Huub, and Friso de Vor. "Determinants of industrial land prices in The Netherlands: a behavioural approach." Journal of European Real Estate Research 8, no. 3 (2015): 305–26. http://dx.doi.org/10.1108/jerer-04-2015-0016.

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Purpose – The purpose of this paper is to demonstrate how the specification of hedonic pricing models can be improved by using insights generated from qualitative research. In doing so, it seeks to address one of the main problems in the specification of hedonic models, namely that theory yields little guidance in the selection of the characteristics that should be included on the right-hand side. Design/methodology/approach – Building on the behavioural tradition in real estate research, this paper introduces a research approach that integrates insights from qualitative analysis in an econome
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Ismagilova, Larisa, and Elvira Arylbaeva. "Labor productivity management: cognitive models of contradictions." Vestnik BIST (Bashkir Institute of Social Technologies), no. 2(55) (June 30, 2022): 154–61. http://dx.doi.org/10.47598/2078-9025-2022-2-55-154-161.

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The analysis of the research, demonstrating the interrelation between the efficiency of human resources management and economic results of the enterprise has been conducted. Causal relationship between human resource management and productivity is shown. Contradictions in the formation of human and labor resources are revealed. The defining role of human capital in the structure of intangible resources. The procedure of substantiation of the choice of HR-practices that involves the construction of a generalized cognitive model of the impact of intangible resources on productivity was formed. T
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Golubkin, A. V., and O. M. Malyutina. "Industrial production as a factor in the dynamics of trade in mechanical engineering products between Russia and the countries of Central and Eastern Europe in 2022–2024." Economics and Management 31, no. 6 (2025): 700–708. https://doi.org/10.35854/1998-1627-2025-6-700-708.

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Aim. The work aimed to assess the impact of industrial production in the countries of Central and Eastern Europe (CEE) on the dynamics of trade in mechanical engineering products between these countries and the Russian Federation (RF) in the context of the latest geopolitical conditions.Objectives. The work seeks to analyze statistical data on the dynamics of trade relations between Russia and the countries of Central and Eastern Europe in the field of mechanical engineering at the current stage; to construct econometric models for regression analysis of the impact of industrial production on
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Abdullayev, Ilyоs, Timur Tadjiev, and Mohira Saparova. "Evaluation Factors of Industrial Production in the Region." E3S Web of Conferences 449 (2023): 01002. http://dx.doi.org/10.1051/e3sconf/202344901002.

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This article evaluates the processes of development of industrial production in the region and determines the factors affecting them, reveals the priority factors and sources of competitiveness of industrial enterprises, evaluates the regional characteristics of industrial development, and analyzes all influencing factors in the development of industry. This allows us to evaluate industrial production and development in the region, identify the factors that affect it. In the evaluation, process grouped the most important factors influencing the development of industrial production in determini
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Kudryavtseva, T. Yu, and A. E. Skhvediani. "An econometric analysis of the regional industrial specialization: The Russian manufacturing industry case study." Economic Analysis: Theory and Practice 19, no. 9 (2020): 1765–90. http://dx.doi.org/10.24891/ea.19.9.1765.

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Subject. The article reviews the manufacturing industry in Russian regions, calculates the indicators of regional industrial specialization needed for development of econometric models of spatial panel data. Objectives. The purpose is to create a methodology for analyzing the regional industrial specialization based on econometric tools; to test it, using the case of the manufacturing industry, for determining the type of externalities in the Russian Federation. Methods. To build econometric models, we use methods of least squares and maximum likelihood. We apply localization ratios to assess
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Xu, Shuang. "Application and Analysis of Spatial Spillover Effects of an Improved Panel Data Econometric Model in Universities, Population, and Industrial Parks in Guiyang." Mobile Information Systems 2022 (August 29, 2022): 1–10. http://dx.doi.org/10.1155/2022/9654342.

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In the field of econometrics, panel data are an extremely important type of data. In macroeconomic research, panel data models are widely used in exchange rate determination theory, testing of cross-border economic growth and convergence theory, analysis of industrial structure, research on technological innovation, etc. The agglomeration and population distribution of colleges and universities, and the economic support of industrial parks play an important role in economic and social development as a source of research and development and a source of talents. The panel data model usually assu
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Turlakova, Svitlana. "Research of mathematical methods and models of long-term industrial development." Economy of Industry 4, no. 100 (2022): 53–77. http://dx.doi.org/10.15407/econindustry2022.04.053.

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The importance of the study of relevant mathematical methods and models of long-term development of the national industry is substantiated. It has been proven that causal econometric models of production are relatively simple and convenient to use in practice, as well as the most common tools for researching the long-term economic future. It was defined that the production functions, adapted to individual circumstances, proved their ability to solve the assigned tasks. However, the problem of more accurate adjustment to the features of the simulated object of research is particularly relevant
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Zrailo, Ivan, and Svitlana Hynkevych. "Modern Trends in the Functioning of Grain-Product Subcomplex of the Agricultural Sector of Ukraine in the Context of Implementing Its External Economic Potential." Economic and Regional Studies / Studia Ekonomiczne i Regionalne 13, no. 3 (2020): 328–41. http://dx.doi.org/10.2478/ers-2020-0024.

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SummarySubject and purpose of work: The main purpose of the article is to research the state of grain-product subcomplex of the agro-industrial complex and identify the main trends in its functioning as a prerequisite for the implementation of the external economic potential of Ukraine.Materials and methods: The research used methodical tools for analysis, construction of econometric models, as well as open information sources of the State Statistics Service of Ukraine.Results: A set of factors (independent variables) were determined and the existence of theoretically their relationship with t
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Dissertations / Theses on the topic "Research, Industrial – Econometric models"

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Papa, Gianluca. "Essays on econometrics of panel data and treatment models." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209408.

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In this thesis, I apply the sophisticated tools made available by the econometrics of panel data and treatment models to a range of different issues. In the first Chapter, an ECM model is used to test on the existence of financing constraints in firms’ investment and R&D, taken a proxy for the efficiency of market institutions and governance rules in different countries. In the second chapter we test an agency model linking pay-performance contracts of CEOS to the financial situation of a firm by using a UK panel data. In the third chapter I use a sophisticated treatment model to evaluate the
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Ngomba, Peter Njoh. "The developmental impact of public investment in education, science and technology in Cameroon, 1960-1980 /." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75784.

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Linking education, science and technology with national development is a subject of increasing concern in many developing countries. In this dissertation, we have studied empirically the contribution, or lack of it, which public investment in education, science and technology has made to the attainment of development objectives in Cameroon since 1960. Using a small computable macroeconometric model of Cameroon incorporating some major relevant quantitative aspects of the knowledge sector, we have investigated the effects on that sector and on the overall economic system of increased education-
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Bhuiyan, Farina. "Dynamic models of concurrent engineering processes and performance." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=38153.

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Mathematical and stochastic computer models were built to simulate concurrent engineering processes (CE) in order to study how different process mechanisms contribute to new product development (NPD) performance. Micro-models of various phenomena which occur in concurrent engineering processes, such as functional participation, overlapping, decision-making, rework, and learning, were included, and their effects on the overall NPD process were related to process span time and effort. The study focused on determining under what conditions CE processes are more favorable than sequential processes
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Lillis, Anne M. "Customer costing responsiveness - an analytical framework." Melbourne, Vic. : University of Melbourne, Dept. of Accounting and Business Information Systems, 2002. http://wff2.ecom.unimelb.edu.au/accwww/research/papers/0202%20ALillis&MAAbernethy.pdf.

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"January 2002" Includes bibliographical references: (p. 31-34). The primary purpose of this study is to develop a framework for identifying the primary drivers of the costs of being customer responsive. The authors' aim is to develop an understanding of the causal drivers of the costs of responsiveness as these costs are considered to be an important input to strategic and tactical decisions. In developing this framework, the paper links the characteristics of responsive manufacturing from the operations management literature with the insights from studies in the accounting literature relati
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Kummerow, Max F. "A paradigm of inquiry for applied real estate research : integrating econometric and simulation methods in time and space specific forecasting models : Australian office market case study." Thesis, Curtin University, 1997. http://hdl.handle.net/20.500.11937/1574.

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Office space oversupply cost Australia billions of dollars during the 1990-92 recession. Australia, the United States, Japan, the U.K., South Africa, China, Thailand, and many other countries have suffered office oversupply cycles. Illiquid untenanted office buildings impair investors capital and cash flows, with adverse effects on macroeconomics, financial institutions, and individuals. This study aims to develop improved methods for medium term forecasting of office market adjustments to inform individual project development decisions and thereby to mitigate office oversupply cycles. Methods
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Vickers, John. "Patent races and market structure." Thesis, University of Oxford, 1985. http://ora.ox.ac.uk/objects/uuid:9e3df3d2-b58a-48cc-b639-78c7c48bd3cd.

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This thesis is a theoretical study of relationships between patent races and market structure. The outcome of a patent race can be an important determinant of market structure. For example, whether or not a new firm enters a market may depend upon its winning a patent race against an incumbent firm already in that market. Moreover, market structure can be a major influence upon competition in a patent race. In the example, the asymmetry between incumbent and potential entrant has an effect upon their respective incentives in the patent race. Chapter I discusses models of R and D with uncertain
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Mitwasi, Mousa George. "Mathematical models for the deterministic, capacitated, single kanban system." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185523.

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The kanban system is the most popular technique for implementing the Just-In-Time philosophy. In this dissertation we develop mathematical models for the deterministic, capacitated, single kanban system. Three different production structures are studied. The models are used to analyze the system, understand the need and behavior of kanbans, and compute good solutions for the number of kanbans to allocate for each part. The first model applies to the single-stage, single-item system. Optimal solutions for the number of kanbans for this system are developed. The second and third models are built
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Yapo, Patrice Ogou 1967. "A multiobjective global optimization algorithm with application to calibration of hydrologic models." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/290649.

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This dissertation presents a new multiple objective optimization algorithm that is capable of solving for the entire Pareto set in one single optimization run. The multi-objective complex evolution (MOCOM-UA) procedure is based on the following three concepts: (1) population, (2) rank-based selection, and (3) competitive evolution. In the MOCOM-UA algorithm, a population of candidate solutions is evolved in the feasible space to search for the Pareto set. Ranking of the population is accomplished through Pareto Ranking, where all points are successively placed on different Pareto fronts. Compe
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Qureshi, Muhammad Akber 1964. "Construction and solution of Markov reward models." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/290583.

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Stochastic Petri nets (SPNs) and extensions are a popular method for evaluating a wide variety of systems. In most cases, the interesting measures regarding the system's characteristics can be defined at the net level by means of reward variables. Depending on the measures, these net-level reward models are solved either by first generating a state-level reward model or by directly generating paths from the net-level description. In this thesis, we propose algorithms for the generation of state-level reward models as well as for directly obtaining solutions from net-level reward models when th
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Kummerow, Max F. "A paradigm of inquiry for applied real estate research : integrating econometric and simulation methods in time and space specific forecasting models : Australian office market case study." Curtin University of Technology, School of Economics and Finance, 1997. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=11274.

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Office space oversupply cost Australia billions of dollars during the 1990-92 recession. Australia, the United States, Japan, the U.K., South Africa, China, Thailand, and many other countries have suffered office oversupply cycles. Illiquid untenanted office buildings impair investors capital and cash flows, with adverse effects on macroeconomics, financial institutions, and individuals. This study aims to develop improved methods for medium term forecasting of office market adjustments to inform individual project development decisions and thereby to mitigate office oversupply cycles. Methods
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Books on the topic "Research, Industrial – Econometric models"

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Jovanovic, Boyan. Research and productivity. National Bureau of Economic Research, 1995.

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Crépon, Bruno. Research, innovation, and productivity: An econometric analysis at the firm level. National Bureau of Economic Research, 1998.

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Mairesse, Jacques. Estimating the productivity of research and development: An exploration of GMM methods using data on French and United States manufacturing firms. National Bureau of Economic Research, 1996.

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Bond, Stephen. Corporate R & D and productivity in Germany and the United Kingdom. Centre for Economic Performance, London School of Economics and Political Science, 2003.

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Coe, David T. International R&D spillovers. National Bureau of Economic Research, 1993.

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Lichtenberg, Frank R. R&D investment and international productivity differences. National Bureau of Economic Research, 1992.

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Hall, Bronwyn H. Exploring the relationship between R&D and productivity in French manufacturing firms. National Bureau of Economic Research, 1992.

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Adams, J. D. Bounding the effects of R&D: An investigation using matched establishment-firm data. National Bureau of Economic Research, 1996.

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Jones, Charles I. Too much of a good thing?: The economics of investment in R&D. National Bureau of Economic Research, 1999.

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Branstetter, Lee. Japanese research consortia: A microeconometric analysis of industrial policy. National Bureau of Economic Research, 1997.

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Book chapters on the topic "Research, Industrial – Econometric models"

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Biswas, Abhijit, and Meghdoot Ghosh. "Application of Machine Learning, Deep Learning, and Econometric Models in Stock Price Movement of Rain Industries." In Deep Learning Applications in Operations Research. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781032725444-10.

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Brodie, Roderick J., Peter J. Danaher, V. Kumar, and Peter S. H. Leeflang. "Econometric Models for Forecasting Market Share." In International Series in Operations Research & Management Science. Springer US, 2001. http://dx.doi.org/10.1007/978-0-306-47630-3_27.

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Lacombe, Donald J., and Stuart G. McIntyre. "Hierarchical Spatial Econometric Models in Regional Science." In Regional Research Frontiers - Vol. 2. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50590-9_9.

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Manning, W. G. "Alternative econometric models of alcohol demand." In The science of prevention: Methodological advances from alcohol and substance abuse research. American Psychological Association, 1997. http://dx.doi.org/10.1037/10222-004.

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Seo, S. Niggol. "Econometric Models of Yield Changes with Weather Shocks." In Advances in Global Change Research. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15946-1_5.

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Kim, Soon-Gwan, and Fred L. Mannering. "Panel Data and Activity Duration Models: Econometric Alternatives and Applications." In Transportation Research, Economics and Policy. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2642-8_14.

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Shalabh, Subhra Sankar Dhar, and N. Balakrishna. "Goodness of Fit in Parametric and Non-parametric Econometric Models." In Optimal Decision Making in Operations Research and Statistics. CRC Press, 2021. http://dx.doi.org/10.1201/9781003106951-5.

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Tan, Raymond R., Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, and Joost R. Santos. "Future Research Prospects for Input–Output Models." In Lecture Notes in Management and Industrial Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1873-3_10.

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Gadyatskaya, Olga, and Rolando Trujillo-Rasua. "New Directions in Attack Tree Research: Catching up with Industrial Needs." In Graphical Models for Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74860-3_9.

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Cooney, Shannon N., Michelle S. Kaplan, and Michael T. Braun. "Toward Integrating Computational Models of Decision-Making into Organizational Research." In Computational Modeling for Industrial-Organizational Psychologists. Routledge, 2023. http://dx.doi.org/10.4324/9781003388852-3.

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Conference papers on the topic "Research, Industrial – Econometric models"

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Sarwo, Yulius Denny Prabowo, and Jullend Gatc. "Optimizing CO2 Emission Predictions through an Ensemble Approach: Utilizing XGBRegressor, RandomForestRegressor, and DecisionTreeRegressor Models." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875752.

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Permpoon, Nayotsakorn, Titichaya Thanamitsomboon, and Kanticha Kittipeerachon. "Analysis of Classification Models of Firewall Log Data Attacked by Data Poisoning and Evasion Attacks." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875909.

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Chomklin, Amonpan, Saichon Jaiyen, and Niwan Wattanakitrungroj. "AI Models for Defect Detection in Lean Manufacturing: A Comparative Study of Deep Learning Techniques." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875971.

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Benderouach, Kawtar, Idriss Bennis, Abdelouahad Bellat, Khalifa Mansouri, and Ali Siadat. "Classification of industrial accidents in the energy sector using machine learning models." In 2025 5th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). IEEE, 2025. https://doi.org/10.1109/iraset64571.2025.11008177.

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Li, Zhilin, Desong Liu, Yang Liu, and Yilin Wang. "Research on Multi-Beam Swath Surveying Based on Geometric Mathematical Models and Objective Optimization Algorithms." In 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII). IEEE, 2024. http://dx.doi.org/10.1109/icmiii62623.2024.00164.

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Xin, Tong, Li Xuesen, and Tong Lin. "How can industrial structure affect carbon emissions: Facilitating or inhibiting? Research based on spatial panel econometric models: Direct effects and spatial spillover." In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407376.

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Rizojeva Silava, Aleksandra, and Sandija Zeverte-Rivza. "IMPACT OF RUSSIA-UKRAINE WAR ON DAIRY SECTOR IN THE BALTIC STATES." In 10th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2023. SGEM WORLD SCIENCE, 2023. http://dx.doi.org/10.35603/sws.iscss.2023/s03.17.

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The Russian invasion of Ukraine that has occurred between two of the largest exporters of food and energy in the world has had an impact to global energy and food industry in 2022. One of the biggest industries that was affected by this war is the dairy industry. The dairy industry is one of the most important agricultural industries apart from grain production in the Baltic States - Latvia, Estonia and Lithuania. And the Russia- Ukraine war has had and is further impacting dairy sector in the Baltic States. Simulation models are often used in the preparation of sectors outlooks and one of the
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Oyegbile, M. O., Chukwu Emeke, and M. C. Eze. "Assessing the Economic Impacts of Renewable Energy in Sub-Saharan Africa: A GDP-Centric Approach." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221623-ms.

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Abstract Sub-Saharan Africa, endowed with abundant solar, wind, hydro, and biomass resources, historically faced challenges in harnessing renewable energy due to infrastructural and financial limitations. Recently, the region has seen a surge in renewable energy adoption, driven by technological advancements, declining costs, and increased investments. This research is driven by the need to quantitatively assess how renewable energy investments and advancements affect economic growth in Sub-Saharan Africa. The study acknowledges the region's unique economic and energy landscape, characterized
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Macovei, Anamaria-Geanina, and Ion Partachi. "Assessing the links between FDI and economic performance through econometric models." In International scientific conference "Development Through Research and Innovation" IDSC-2025. Academy of Economic Studies, 2025. https://doi.org/10.53486/dri2025.02.

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This study analyzes the relationship between economic performance and four macroeconomic indicators foreign direct investment, consumer price index, producer price index and employment in the period 2010-2024 for the countries Romania and Republic of Moldova. Three multiple regression models were obtained and differences were identified between the two economies in terms of the impact of macroeconomic indicators on economic performance. The results indicate that the economic performance of the Republic of Moldova is positively influenced by foreign direct investment, the consumer price index a
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Khylko, I. I., and K. O. Yatsenko. "YIELD FORECASTING MODELS AS A MEANS OF ENSURING FOOD SECURITY STABILITY." In FOOD SECURITY OF UKRAINE IN THE CONDITIONS OF POST-WAR RECOVERY: GLOBAL AND NATIONAL DIMENSIONS. MYKOLAIV NATIONAL AGRARIAN UNIVERSITY, 2025. https://doi.org/10.31521/978-617-7149-86-5-84.

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The paper deals with the issues of food security in Ukraine. Yield forecasting models as a means of ensuring the stability of food supply are analyzed. Particular attention is paid to the econometric analysis of the impact of factors on food security, the application of the relevant econometric model and the digital transformation of the agro-industrial complex in the context of global instability.
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Reports on the topic "Research, Industrial – Econometric models"

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Lozada, Gabriel A. The Perils of Antitrust Econometrics: Unrealistic Engel Curves, Inadequate Data, and Aggregation Bias. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp203.

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Some economists argue antitrust policy should be based on empirical methods used by the Industrial Organization subdiscipline of economics, but non-economists must understand that those methods contain certain highly restrictive assumptions. Those assumptions involve econometric “identification,” and treating aggregate demand as if it were generated by a representative consumer (Muellbauer’s “generalized linear” preferences). We derive new results illustrating how restrictive the representative consumer assumption is; we explain aggregation bias in Almost Ideal Demand System models; and we sho
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Sum, Sreymom, and Pirom Khiev. Contract Farming in Cambodia: Different Models, Policy and Practice. Cambodia Development Resource Institute, 2015. https://doi.org/10.64202/wp.104.201508.

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Contract farming (CF) is increasingly seen as an effective mechanism to maximise the inclusion of and benefits for small-scale farmers, while giving some control over production to agribusinesses without requiring land ownership. In Cambodia, CF takes many forms and involves food and industrial crops, yet the different CF models and contract types have not been identified. Farmers and contractors have encountered many problems in obtaining reliable benefits from and sustaining CF schemes. The research objectives were to identify and evaluate the various models of CF practiced in Cambodia, expl
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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and m
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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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Mathew, Sonu, Srinivas S. Pulugurtha, and Sarvani Duvvuri. Modeling and Predicting Geospatial Teen Crash Frequency. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2119.

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This research project 1) evaluates the effect of road network, demographic, and land use characteristics on road crashes involving teen drivers, and, 2) develops and compares the predictability of local and global regression models in estimating teen crash frequency. The team considered data for 201 spatially distributed road segments in Mecklenburg County, North Carolina, USA for the evaluation and obtained data related to teen crashes from the Highway Safety Information System (HSIS) database. The team extracted demographic and land use characteristics using two different buffer widths (0.25
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Kim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting
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Olsen and Willson. L51916 Pressure Based Parametric Emission Monitoring Systems (PEMS). Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0010181.

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The natural gas industry operates over 8000 stationary large bore (bore greater than 14 in) natural gas engines for natural gas compression on pipelines and power generation. As emissions regulations become increasingly more stringent, the need for low cost methods for compliance demonstration arises. A PEMS model is one such approach. Research in this area has increased significantly during the last decade. PEMS models for this application utilize parameters commonly measured on industrial engines in the field to predict engine-out emissions. Monitoring emissions in this manner represents a s
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Guidati, Gianfranco, and Domenico Giardini. Joint synthesis “Geothermal Energy” of the NRP “Energy”. Swiss National Science Foundation (SNSF), 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.4.en.

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Near-to-surface geothermal energy with heat pumps is state of the art and is already widespread in Switzerland. In the future energy system, medium-deep to deep geothermal energy (1 to 6 kilometres) will, in addition, play an important role. To the forefront is the supply of heat for buildings and industrial processes. This form of geothermal energy utilisation requires a highly permeable underground area that allows a fluid – usually water – to absorb the naturally existing rock heat and then transport it to the surface. Sedimentary rocks are usually permeable by nature, whereas for granites
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Zhang, Renduo, and David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7587220.bard.

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Water resources assessment and protection requires quantitative descriptions of field-scale water flow and contaminant transport through the subsurface, which, in turn, require reliable information about soil hydraulic properties. However, much is still unknown concerning hydraulic properties and flow behavior in heterogeneous soils. Especially, relationships of hydraulic properties changing with measured scales are poorly understood. Soil hydraulic properties are usually measured at a small scale and used for quantifying flow and transport in large scales, which causes misleading results. The
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Panek. PR-312-12208-R01 Plume Volume Molar Ratio Method Assumptions and Conservative Model Over-Predictions. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010806.

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With the introduction of the more stringent short-term 1-hour air quality NO2 standard, the use of redundant, overly conservative assumptions (e.g. use of permit allowable emissions � hourly rate based on maximum annual tons per year) is no longer appropriate and potentially misinforms and obfuscates modeling compliance demonstrations. One of the challenges of modeling oxides of nitrogen (NOx) emissions is determining the amount of total NOx that will exist in the form of nitrogen dioxide (NO2) at a receptor. Combustion source emissions usually contain mostly nitric oxide (NO), which is not a
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