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Study on agricultural green productivity
Vol 1, Issue 1, 2023
VIEWS - 2515 (Abstract) 504 (PDF)
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Abstract
Agricultural productivity, as an important indicator to measure the performance of agricultural economic growth, has always been a hotspot in academic research. Scholars at home and abroad have used different methods to measure agricultural productivity from different aspects, trying to accurately describe the way and path of modern agricultural economic growth. However, for a long time, the measurement of agricultural productivity is only based on the traditional factors such as capital, labor and land, and seldom takes into account the resources and environmental factors closely related to the sustainable development of agriculture. Based on this, this paper mainly explores the problem of agricultural green total factor productivity. Firstly, it combs the literature related to green agriculture, systematically summarizes the connotation and related theories of green total factor productivity, and analyzes the agricultural development status and development prospects from the perspectives of geographical environment, economic environment, technological capital and system. It provides a theoretical basis for evaluating the growth performance of agricultural economy more accurately, promoting the coordinated development of resource conservation, environmental protection and economic growth in the agricultural related departments.
References
1. Caves D.W, Charistensen L. R, Diewert W. E. (1982). The economic theory of index numbers and the measurement of input, output and productivity. Econometrica 50(6), 1393-1414.
2. Charnes A, Cooper W. W, Rhodes E (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6):429-444.
3. Chen X, Wu K, He Y (2011). the impact of agricultural land transfer on farmers’ productivity-an empirical analysis based on DEA method (in Chinese). agricultural technology and economy, (8), 65-71.
4. David G, Abler, Daniel P (1993). Agriculture and the environment in mexico. American Journal of Agricultural Economics, 75(3), 794-798.
5. Dwyer L, Forsyth P, Spurr R. (2005). Estimating the impacts of special events on an economy. Journal of Travel Research, 43(4), 351-359.
6. Fare R, Grosskopf S. (2010). Directional distance functions and slacks-based measures of efficiency. European Journal of Operational Research, 200(1):320-322.
7. Han H (2013). Analysis on the technical efficiency of china’s agricultural environment and its influencing factors (in Chinese).Research on Economics and Management, (9), 61-68.
8. Li G, Fan L, Min R (2010). Coordination among resources, environment and agricultural development-ranking of provincial agricultural environmental efficiency based on environmental regulation (in Chinese). Symposium of China Agricultural Technology and Economic Research Association.
9. Mahtadi H (2003). Economic aspects and the Summer Olympics: Review of related research. International Journal of Tourism Research, 5(6), 433-444.
10. Samuel S.K., Kaye C., Kyu Y. C. (2003). Convention industry in South Korea: An economic impact analysis.Tourism Management, 24(5), 533-541.
11. Solow R. M. (1957). The economic contribution of conventions: Technical change and the aggregate production function. Review of Economics and Statistics, 39(3), 312-320.
12. Su Z, Chen S (2012). The influence of human capital on agricultural total factor productivity, technical efficiency and technological progress-based on the panel data of Guangdong Province from 1995 to 2010 (in Chinese). Journal of South China Agriculture 43(8), 1235-1240.
13. Wang X (2011). Empirical analysis of farmers’ technical efficiency differences and influencing factors-based on stochastic frontier production function and micro data of fruit farmers (in Chinese). On Economic Problems, (6), 72-77.
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Cheng Sun
Academician of World Academy of Productivity Science; Executive Chairman, World Confederation of Productivity Science China Chapter, China