Relevant bibliographies by topics / Industrial total factor productivity

Academic literature on the topic 'Industrial total factor productivity'

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Published: 4 June 2021
Last updated: 19 February 2022

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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 the factor inputs of capital, labour, and technology. Some of this change in output is accounted for by constant returns to scale. The rest is a result of variable returns to scale, such as produced by agglomeration economies or diseconomies, different levels of infrastructure provision, etc, and technological change. Total factor productivity represents these sources of nonconstant returns to scale. It is shown that for Greece the largest gains in total factor productivity are to be found in the noncentral regions, and especially in those having industrial area projects and industrial grants and incentives. These results are in line with research undertaken in other contexts. Those areas with the most significant productivity gains from the deployment of new technology tend to be the well-established centres housing medium-sized populations. There is some evidence to suggest that new employment opportunities are associated with increases in total factor productivity, although rarely with advances in the use of new technology.
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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, wool, silk and jute products (23 + 24 + 25) are most productive industrial groups. Wood and wood products (27) and leather and leather products (29) are least productive industrial groups. Among all the industrial groups, chemical and chemical products (30) acted as an innovator for maximum number of years, that is, 13 years. Panel data results highlighted that output, labour skills, size of factory and good emoluments to employees have a positive significant influence on TFP of Punjab’s manufacturing sector. The study concludes by giving policy implications.
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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 implementation of SREB strategy. Findings However, the authors find that there is no difference or even a relative decrease in TFPs of industries in target provinces after the implementation of the strategy, which reveals that the SREB strategy does not play a positive role of the industries’ sustainable development in years of 2014 and 2015. Originality/value The value of this result is to identify the short-term impact of SREB strategy and to seek for probable causes and appropriate solutions.
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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 innovation by patent quality. The results show that eco-innovation improves the development of green industry in China. The promotion from breakthrough innovation is prominent. However, the incremental innovation restrains the development of green industry in China.
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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 industry, especially at region level, this paper applies panel model to study how agglomeration influences TFPduring 2005–2018. The results show that increasing agglomeration degree restrains the TFP growth of China’s textileindustry. The coefficients of LQ on textile industry in China and four regions are all negative. There exists crowded effectin eastern textile industry. It has not formed the significant agglomeration effect in western and north-eastern textileindustry for very low agglomeration degree. So it implies that eastern textile industry can accelerate the implementationof industrial transfer and structural adjustment to lower agglomeration and maintain sustained profitability of textileenterprises. Western textile industry can strengthen agglomeration by undertaking industrial transfer from eastern regionto form agglomeration effect to promote TFP growth.
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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 of both the theoretical and empirical literature on industrial demography. Chapter 4 investigates further the heterogeneity of manufacturing establishments in terms of productivity, and size. It offers a comprehensive demographic study of manufacturing establishments over the 21-year period, focusing on productivity and size differentials, as well as on establishments' entry and exit. In a second part, relaxing the representative plant hypothesis and taking establishments' turnover effect into account, I present several decompositions of aggregate TFP growth into incumbents' contribution and the contribution of entrants and exiters. Chapter 5 draws on this literature and tests econometrically the different hypotheses aiming at an explanation of establishments' productivity heterogeneity. Hypotheses are tailored to the Indonesian manufacturing sector through a careful reference to the economic history of the sector. Chapter 6 offers three detailed historical and economic industry studies, aiming at the discovery of central factors and processes explaining the evolution of the manufacturing sector in terms of productivity change and establishments' demography. It also tests econometrically hypotheses regarding the main factors explaining survival and exit of establishments. Chapter 7 recalls the results of the reestimation of aggregate TFP growth using a new methodology, and brings together the main outcomes of the subsequent chapters, thereby offering an explanation of aggregate TFP growth with detailed microeconomic mechanisms.
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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 industry level. The results suggest that interregional knowledge spillovers and their productivity effects are to a substantial degree geographically localised and this finding is consistent with the localisation hypothesis of knowledge spillovers. There is a substantial amount of heterogeneity across industries with evidence that two industries (electronics, and chemical industries) produce interregional knowledge spillovers that have positive and highly significant productivity effects. The study, moreover, confirms the importance of spatial autoregressive disturbance in the fixed effects model for measuring the TFP impact of interregional knowledge spillovers at the industry level. (authors' abstract)
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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 system variables and functions on global system performance. A major part of the research was devoted to building and testing the system dynamics model. The model consists of four sectors: production-inventory, labor, machine, and material. The labor, machine, and material sectors represent the input classes used to produce the finished goods. The production-inventory sector contains a variable representing the finished goods (output of the system). It also contains the TFP variable which relates all the input classes and the output, and calculates the TFP value simulated under a specific system state.
Ph. D.
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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 Asian banking sectors using an unbalanced panel data set consisting of 280 commercial banks over the period of 1998 to 2005. It is widely agreed that cross-country differences play an important part in examining banks performance in international comparison. They can influence the frontier technology as additional explanatory variables or they can enter inefficiency directly as a measure of determinants or heteroscedasticity. Both cases are considered in the empirical sections of this thesis. In the former case, the empirical results from systematic comparisons of panel data stochastic frontier models with and without incorporating these cross-country heterogeneities suggests that cross-country differences are important sources to explain banks performances therefore they should not be neglected. The overall cost efficiency in these Asian banking industries is 0.5897 with a decreasing trend, despite positive technical progress and slight economies of scale. The total factor productivity change is measured by using a new cost-based total factor productivity index, an index number counterpart of Bauer's (1990) total differential approach. A five-way decomposition is also provided with the attempt to identify the main contributors to the productivity change. Overall, Asian banking industries have experienced positive but not substantial productivity change from 1998-05. In the latter case, a general model that considers exogenous influences in both inefficiency and random noise error term is constructed and compared against other alternative specifications. The empirical results favour this general model and the overall and country-specific cost efficiency and total factor productivity are then estimated and calculated.
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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 many countries, not least in the EU, over time.The thesis consists of four essays, which examine different aspects of interventionistic policy and political decision making from the perspective of market failure vs. government failure. The purpose of Essay 1 is to study whether Swedish regional policy, which was introduced around 1970, has significantly affected the process of growth of per capita income in Swedish counties. In Essay 2 characteristics of recipient firms are analysed from an interest-group perspective. In Essay 3, the subsidies effect on total factor productivity growth is studied. In the final essay employment effects are examined.
Diss. Stockholm : Handelshögsk.
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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, and Junsheng Chen. "Study on Total Factor Productivity and Absolute β Convergence of High-tech Industries in China." In 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 nations energy supply. This study seeks to assess the relationship between these variables in the industrial sector of four Latin American countries. Under alternative measures of productivity, namely, average labor productivity and total factor productivity (TFP), we find a statistically negative relationship between productivity and Energy intensity.
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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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4

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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Abstract:
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 American countries, on average, is 1.5%. For the Andean countries, we find an even smaller growth rate per year of 1.4% on average. Our findings suggest that higher road density is associated with lower technical inefficiency.
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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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