Academic literature on the topic 'Industrial total factor productivity'

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Journal articles on the topic "Industrial total factor productivity"

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Vagionis, N., and N. Spence. "Total Factor Regional Productivity in Greece." Environment and Planning C: Government and Policy 12, no. 4 (December 1994): 383–407. http://dx.doi.org/10.1068/c120383.

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The components of productivity change in manufacturing industry over the regions of Greece in the 1980s are examined. Regional differences in productivity are significant in two respects. They reflect the outcomes of different production processes in space where labour is supplied and combined with various sorts of capital and where specific technologies are used. They also reflect opportunities for developing efficient business operations in space, in that they indicate one important aspect of a region's comparative advantage. Change in value added in manufacturing is represented by change in
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Konstantinova, S., and A. Konarev. "Corporate growth and total factor productivity In industrial companies." Trakia Journal of Science 15, Suppl.1 (2017): 191–94. http://dx.doi.org/10.15547/tjs.2017.s.01.035.

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Konstantinova, Sn, A. Konarev, and G. V. Georgieva. "RETURN AND TOTAL FACTOR PRODUCTIVITY OF PUBLIC INDUSTRIAL COMPANIES." Trakia Journal of Sciences 17, Suppl.1 (2019): 361–64. http://dx.doi.org/10.15547/tjs.2019.s.01.059.

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Total factor productivity is a complex factor that affects not only corporate growth but also other key parameters of industrial companies. This paper explores the impact of this factor on the return on capital invested in these companies. Based on the example of a group of public companies whose shares are traded on the main and alternative markets of the Bulgarian Stock Exchange – Sofia, the level and the dynamics of the return and the total factor productivity is analysed. Dependencies are identified and opportunities for intensifying corporate growth are revealed
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Covick, Owen. "Total Factor Productivity and Wages Policy." Journal of Industrial Relations 32, no. 4 (December 1990): 488–512. http://dx.doi.org/10.1177/002218569003200402.

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Verma, Satish, and Gurinder Kaur. "Total Factor Productivity Growth of Manufacturing Sector in Punjab." Indian Economic Journal 65, no. 1-4 (March 2017): 91–106. http://dx.doi.org/10.1177/0019466217727848.

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The present article is an attempt to analyse the performance of Punjab’s manufacturing sector. For this, data used is of 12 two-digit industrial groups from 1980–81 to 2007–08. Dividing the entire data into pre-reform and post-reform period, the results of total factor productivity (TFP) of Punjab’s manufacturing sector revealed that it experienced meagre improvement (1.6 per cent per annum) during the last 28 years. Technical efficiency change (TEC) contributed more than technical change (TC) to TFPG. Paper and paper products (28), followed by non-metallic mineral products (32) and cotton, wo
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Cui, Herui, Haoran Wang, and Qiaozhi Zhao. "Which factors stimulate industrial green total factor productivity growth rate in China? An industrial aspect." Greenhouse Gases: Science and Technology 9, no. 3 (May 10, 2019): 505–18. http://dx.doi.org/10.1002/ghg.1874.

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Feng, Jian, Lingdi Zhao, Huanyu Jia, and Shuangyu Shao. "Silk Road Economic Belt strategy and industrial total-factor productivity." Management of Environmental Quality: An International Journal 30, no. 1 (January 14, 2019): 260–82. http://dx.doi.org/10.1108/meq-06-2018-0109.

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Purpose The purpose of this paper is to assess the effectiveness of the Silk Road Economic Belt (SREB) strategy and its role of industrial productivity in China. Design/methodology/approach To identify the causal effect of this strategy on industrial sustainable development, the authors first use the slacks-based measure model to calculate industries’ total-factor productivity (TFP) considered with CO2 emissions as undesirable output on the provincial level. Then, the authors use the PSM-DID method to identify the difference of TFPs between provinces and industries before and after the impleme
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Zhang, Luan, Miao Wang, and Weidong Wang. "Does Eco-innovation Improve Green Total Factor Productivity of China’s Industry?" E3S Web of Conferences 236 (2021): 04003. http://dx.doi.org/10.1051/e3sconf/202123604003.

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The improvement of industrial green TFP is crucial for the sustainability of economy and environment. And the eco-innovation directly improves the industrial green TFP. However, there are few studies on the relation between eco-innovation and industrial green TFP. Based on the relevant data from 2006-2015 of 30 provinces in China, using SBM model this study firstly evaluates the industrial green TFP of each province by measuring the desirable output and undesirable output. Then the eco-innovation is measured by patent application quantity and further divided into breakthrough and incremental i
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JIANLEI, ZHANG, AN NA, and CHENG LONGDI. "Agglomeration and total factor productivity of China’s textile industry." Industria Textila 72, no. 04 (September 1, 2021): 443–48. http://dx.doi.org/10.35530/it.072.04.202013.

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Agglomeration is an important characteristic in China’s textile industry development. But regional textile industry isseriously unbalanced, only eastern location entropy (LQ) is greater than 1 and is the highest of all, followed by thecentral, western and north-eastern regions. Total factor productivity (TFP) is an important indicator to measure theeconomic growth efficiency. The average annual growth rate (AAGR) of eastern textile industry TFP is the least andcentral TFP growth rate is the fastest. In order to investigate the relationship between agglomeration and TFP of China’stextile indust
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Han, Gwangho. "Industrial Agglomeration Economies and Total Factor Productivity of Korean Regional Manufacturing." Journal of Economic Studies 38, no. 1 (February 28, 2020): 55–74. http://dx.doi.org/10.30776/jes.38.1.3.

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Dissertations / Theses on the topic "Industrial total factor productivity"

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Ha, Dong Soo. "Total factor productivity growth in Korean manufacturing from 1983 to 1998." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3060101.

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Han, Myung Jin. "Testing the predictive ability of measures of total factor productivity growth /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3115550.

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Vial, Virginie G. "Industrial demographics, industrial dynamics, and aggregate total factor productivity growth in Indonesian manufacturing, 1975-95." Thesis, London School of Economics and Political Science (University of London), 2005. http://etheses.lse.ac.uk/2680/.

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After an introductory chapter, chapter 2 reviews and assesses the existing theoretical and empirical literature on TFP growth. A detailed review of the economic and historical literature on productivity growth in Indonesian manufacturing follows. This allows constructing a new methodology for the estimation of aggregate TFP growth in Indonesian manufacturing, using a panel dataset of establishments over the period 1975-95. New estimates are presented and compared with historical evidence. Chapter 3 further emphasises the issue of establishments' heterogeneity by presenting a meticulous review
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Racsa, Patrick N. Pham Van Hoang. "Measurement of total factor productivity growth in countries with high rates of structural change." Waco, Tex. : Baylor University, 2008. http://hdl.handle.net/2104/5191.

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Pineda, Antonio J. "A multiple case study research to determine and respond to management information needs using Total-Factor Productivity Measurement." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39114.

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Scherngell, Thomas, Manfred M. Fischer, and Martin Reismann. "Total factor productivity effects of interregional knowledge spillovers in manufacturing industries across Europe." The Romanian Regional Science Association, 2007. http://epub.wu.ac.at/5139/1/N1%2DFISCHER.pdf.

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The objective of this study is to identify knowledge spillovers that spread across regions in Europe and vary in magnitude for different industries. The study uses a panel of 203 NUTS-2 regions covering the 15 pre-2004 EU-member-states to estimate the impact over the period 1998-2003, and distinguish between five major industries. The study implements a fixed effects panel data regression model with spatial autocorrelation to estimate effects using patent applications as a measure of R&D output to capture the contribution of R&D (direct and spilled-over) to regional productivity at the i
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Mlambo, Kupukile. "Total factor productivity growth : an empirical analysis of Zimbabwe's manufacturing sector based on factor demand modelling /." Göteborg : Nationalekonomiska institutionen, Handelshögsk, 1993. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=005857517&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Shin, Seung-il. "A system dynamics model for total-factor productivity measurement of the manufacturing system: its implications for JIT." Diss., Virginia Tech, 1991. http://hdl.handle.net/10919/39974.

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This research provides a basis to explore the relationship between Just-In-Time (m) and performance of the manufacturing system using a systems approach. Specifically, a conceptual model that captures system-wide performance of the manufacturing system was built using system dynamics in an effort to investigate the relationship betweenn JIT and performance of the manufacturing system. The model was designed and built to measure total-factor productivity (TFP) which represents a global performance measure of the manufacturing system. TFP captures the integrated, synergistic effect of the
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Shen, Zhi. "Efficiency and productivity analysis in ten Asian banking industries." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6110.

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Over the last few decades, numerous studies have adopted efficiency and productivity techniques to examine and evaluate the overall performance of banking industries to inform policy effect as well as identify the best practice. The majority of banking efficiency and productivity studies focus on the developed US and European countries. There are only limited studies in the Asian banking industries but no cross-country comparison in major Asian economies. To fill this literature gap, this thesis attempts to measure and compare the cost efficiency and total factor productivity change in ten Asi
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Bergström, Fredrik. "Essays on the political economy of industrial policy." Doctoral thesis, Handelshögskolan i Stockholm, Samhällsekonomi (S), 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-653.

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Unemployment and/or slow economic growth nationally and in poorer regions are two problems which political decision-makers often refer to when they argue for the need to grant different producer subsidies to firms. Moreover, it is often asserted that the problems are due to different market failures. However, it is not certain that market failures exist and political attempts to correct "market-failures" might easily turn into government failures. In the thesis various industrial and regional policy subsidies are examined. The subsidies, which are studied, have become increasingly important in
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Books on the topic "Industrial total factor productivity"

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Nachega, Jean-Claude. Economic growth and total factor productivity in Niger. [Washington, D.C.]: International Monetary Fund, African Dept., 2006.

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Canada, Economic Council of. A comparison of the total factor productivity and total cost performance of Canadian and U.S. industries. [Ottawa]: Economic Council of Canada, 1992.

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Thinnakō̜n, Prānī. Total factor productivity growth in Thailand, 1980-1995. Bangkok: Macroeconomic Policy Program, Thailand Development Research Institute, 1998.

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Pasha, Hafiz A. The slowing down of the growth of total factor productivity in Pakistan. [Karachi]: Social Policy and Development Centre, 2002.

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Total factor productivity in Kenya: The links with trade policy. Nairobi: African Economic Research Consortium, 2002.

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Heshmati, Almas. Technical change and total factor productivity growth in Swedish manufacturing industries. Göteborg: Göteborgs universitet, 1993.

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Everaert, Luc. Capital operating time and total factor productivity growth in France. Washington, D.C: European I Department, 2003.

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Mlambo, Kupukile. Total factor productivity growth: An empirical analysis of Zimbabwe's manufacturing sector based on factor demand modelling. [Göteborg: Göteborgs universitet, 1993.

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Nehru, Vikram. New estimates of total factor productivity growth for developing and industrial countries. Washington, D.C: World Bank, International Economics Dept., 1994.

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Shiu, Alice. Technical change and total factor productivity growth for Chinese provinces: A panel data analysis. Bonn, Germany: IZA, 2006.

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Book chapters on the topic "Industrial total factor productivity"

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Khosla, Rajiv, and Rajinder Singh Bawa. "Total Factor Productivity Growth and Capacity Utilization in Manufacturing Industries in India." In Eurasian Studies in Business and Economics, 369–84. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67916-7_24.

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Cornwall, John. "Total Factor Productivity." In The New Palgrave Dictionary of Economics, 1–3. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1681-1.

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Comin, Diego. "Total Factor Productivity." In The New Palgrave Dictionary of Economics, 1–4. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1681-2.

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Comin, Diego. "Total Factor Productivity." In The New Palgrave Dictionary of Economics, 13720–23. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_1681.

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Comin, Diego. "total factor productivity." In Economic Growth, 260–63. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230280823_32.

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Kumar, Surender, and Shunsuke Managi. "Total Factor Productivity of Indian Industry." In The Economics of Sustainable Development, 85–105. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-98176-5_5.

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Ball, V. Eldon, Jean-Pierre Butault, and Richard F. Nehring. "U.S. Agriculture, 1960–96: A Multilateral Comparison of Total Factor Productivity." In Agricultural Productivity, 11–35. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0851-9_2.

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Yirzagla, Julius, Ibrahim K. D. Atokple, Mohammed Haruna, Abdul Razak Mohammed, Desmond Adobaba, Bashiru Haruna, and Benjamin Karikari. "Impacts of Cowpea Innovation Platforms in Sustaining TL III Project Gains in Ghana." In Enhancing Smallholder Farmers' Access to Seed of Improved Legume Varieties Through Multi-stakeholder Platforms, 171–83. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8014-7_12.

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AbstractOver the past decades, farm-level yields of cowpea have remained low (0.6–0.8 t/ha) compared to what is observed on research fields (1.8–2.5 t/ha). Lack of farmer access to quality seeds of improved varieties and inappropriate cultural practices are the major factors responsible for the low productivity of the crop. The use of Innovative Platforms (IPs) as a strategy to facilitate farmer access to quality seeds was, therefore, considered under the Tropical Legume (TL) III and USAID Cowpea Outscaling projects in Northern Ghana. The platform activities started in 2016 with a total membership of 100, which increased steadily to 820 by December 2018. The research team of the Council for Scientific and Industrial Research-Savannah Agricultural Research Institute (CSIR-SARI) trained platform members to produce certified seeds to be supplied to target communities, thereby enhancing smallholder farmers’ access to improved varieties. A total of 1848 members of the platform were trained in various farm operations. A revolving system was set up in which each farmer group was supplied with improved seed and after harvesting returned the equivalent of seed received to the platform. Having been trained to produce their own seed, members of the platform are self-reliant in acquiring improved seed and are actively engaged in various operations that sustain the gains of the two projects that have been phased out.
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Zavanella, Biancamaria, and Daniele Pirotta. "Martini’s Index and Total Factor Productivity Calculation." In Studies in Classification, Data Analysis, and Knowledge Organization, 379–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51222-4_30.

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Kumbhakar, Subal C., and George Mavrotas. "Financial Sector Development and Total Factor Productivity Growth." In Financial Development, Institutions, Growth and Poverty Reduction, 231–59. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230594029_11.

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Conference papers on the topic "Industrial total factor productivity"

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Lin, Zhifeng, and Weida He. "Total Factor Productivity Change of Traditional Manufacturing Industry of Beijing." In 2018 5th International Conference on Industrial Economics System and Industrial Security Engineering (IEIS). IEEE, 2018. http://dx.doi.org/10.1109/ieis.2018.8597779.

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Han, Yongming, Mingxing Zhang, Zhiqiang Geng, Kai Chen, Yajie Wang, Qin Wei, and Zhi Ouyang. "Total Factor Productivity Analysis of Industrial Processes Based on Malmquist Model." In AICS 2019: 2019 International Conference on Artificial Intelligence and Computer Science. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349341.3349406.

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Zhang, Tiantian. "Research on Management and Determination of Industrial Total Factor Productivity in China." In Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/meici-18.2018.68.

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Fengge, Yao, and Liu Bo. "Empirical study on total factor productivity of national joint-stock commercial banks." In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2013. http://dx.doi.org/10.1109/iciii.2013.6703649.

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Jia, Cangcang. "The Influence of Industrial Transfer on Regional Total Factor Productivity and Its Path Analysis." In Proceedings of the 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icedem-18.2018.67.

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Li, Qiang, and Nan Gao. "Influence of government and market on the relationship between institutional change and Chinese total factor productivity." In 2016 International Conference on Industrial Economics System and Industrial Security Engineering (IEIS). IEEE, 2016. http://dx.doi.org/10.1109/ieis.2016.7551858.

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Qu, Chunyu, and Xingwang Zhao. "Total Factor Productivity Analysis of High-tech Industries for Supply-side Structural Reform." In 2021 13th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2021. http://dx.doi.org/10.1109/icaci52617.2021.9435910.

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Wang, Hui, and Meiqing Zhang. "Impact of Industrial Agglomeration on Total Factor Productivity of Cities: A Case Study of the Beijing-Tianjin-Hebei Region." In 2018 5th International Conference on Industrial Economics System and Industrial Security Engineering (IEIS). IEEE, 2018. http://dx.doi.org/10.1109/ieis.2018.8598008.

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Wang, Lihui. "Research on the Relationship among the Total Factor Productivity of Three Industries in China." In International Conference on Education, Management and Information Technology. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icemit-15.2015.174.

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Bao, Yaodong, Yanshu Li та Junsheng Chen. "Study on Total Factor Productivity and Absolute β Convergence of High-tech Industries in China". У IPEC 2021: 2021 2nd Asia-Pacific Conference on Image Processing, Electronics and Computers. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3452446.3452737.

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Reports on the topic "Industrial total factor productivity"

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Yépez, Ariel, Luis San Vicente Portes, and Santiago Guerrero. Productivity and Energy Intensity in Latin America. Inter-American Development Bank, April 2021. http://dx.doi.org/10.18235/0003219.

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Within an industrial setting, what would ones conjecture be about the relation between Energy Intensity (EI) and productivity? Could higher Energy use be associated to more capital intensive processes, and thus higher output (per worker)? Or Ceteris paribus, are productivity indicators inversely associated with energy intensity? So that more productive firms or industries tend also to be more energy efficient. The nature of this question is multifold as there are historical, geographical, institutional, developmental, and policy variables that jointly affect industrial development as well as a
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Hulten, Charles. Total Factor Productivity: A Short Biography. Cambridge, MA: National Bureau of Economic Research, January 2000. http://dx.doi.org/10.3386/w7471.

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Kögel, Tomas. Youth dependency and total factor productivity. Rostock: Max Planck Institute for Demographic Research, September 2001. http://dx.doi.org/10.4054/mpidr-wp-2001-030.

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Uras, Burak, and Ping Wang. Production Flexibility, Misallocation and Total Factor Productivity. Cambridge, MA: National Bureau of Economic Research, October 2017. http://dx.doi.org/10.3386/w23970.

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Helfand, Steven M., Marcelo M. Magalhães, and Nicholas E. Rada. Brazil's Agricultural Total Factor Productivity Growth by Farm Size. Inter-American Development Bank, September 2015. http://dx.doi.org/10.18235/0000157.

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Research Institute (IFPRI), International Food Policy. Food policy indicators: Tracking change: Agricultural Total Factor Productivity TFP. Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1024320073.

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Lim, Youngjae, and Chin Hee Hahn. Bankruptcy Policy Reform and Total Factor Productivity Dynamics in Korea. Cambridge, MA: National Bureau of Economic Research, July 2003. http://dx.doi.org/10.3386/w9810.

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Myoga, Maya. Comparisons of Total Factor Productivity in the U.S. Electric Industry. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.344.

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Neves, Mateus C. R., Felipe De Figueiredo Silva, and Carlos Otávio Freitas. Agricultural Total Factor Productivity and Road Infrastructure in South American Countries. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003401.

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In this working paper, we estimate agricultural total factor productivity (Ag TFP) for South American countries over the period 19692016 and identify how road density affect technical efficiency. In 2015, Colombia, Peru, Venezuela, Ecuador, and Bolivia, the Andean countries, had 205,000; 166,000; 96,000; 89,000; and 43,000 kilometers of roads, respectively. A poor-quality and limited road network, along with inaccessibility to markets, might limit the ability of farms to efficiently manage production inputs, raising technical inefficiency. We find that the Ag TFP growth rate per year for South
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Bernstein, Jeffrey. Total Factor Productivity Growth in the Canadian Life Insurance Industry: 1979-1989. Cambridge, MA: National Bureau of Economic Research, March 1998. http://dx.doi.org/10.3386/w6475.

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