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Research On Agricultural Total Factor Productivity Of Shandong Under The Constraint Of Resources And Environment

Posted on:2021-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2439330605967745Subject:Agriculture
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Agricultural total factor productivity,as an important indicator of the level of agricultural economic development,has always been one of the focuses of academic research.In recent years,China's agriculture has faced many challenges such as insufficient production resources and increasing environmental pressures.It is not a long-term plan to increase agricultural,factor,and other factors to achieve sustainable agricultural economic growth.It is traditional to focus on improving total factor productivity The inevitable choice for the transformation of agriculture to modern agriculture.Shandong is a large agricultural province and plays an important role in China's agricultural development.However,in recent years,agricultural growth has been slow and production efficiency has fallen.Under this background,the release of agricultural energy will rely more on the increase of agricultural total factor productivity.Resource and environmental constraints have had a significant negative impact on agricultural total factor productivity.The formulation of Shandong's agricultural economic development goals should no longer be limited to ensuring the growth of food production and the quantity of agricultural.Achieve modern agriculture that combines resource conservation,environmental protection,and economic growth of agricultural.To realize the development of the agricultural economy,we should change the traditional method of economic benefit evaluation from the part of "efficiency" and "green",and integrate resource constraints,environmental regulation into a centralized production performance assessment framework.Based on this,this paper adopts the malmquist-luenberger index to integrate the water resources and pollution from agricultural sources into the traditional agricultural TFP analysis framework,and calculates the TFP and its decomposition components of 17 prefectural cities in shandong province from 2007 to 2017 under the constraints of resources and environment.Through to the agricultural total factor production under the restriction of resources and environment in shandong province,eastern Midwest and 17 prefecture-level these three level index are analyzed,and the convergence of inspection in shandong agricultural total factor productivity,recognize the differences in agricultural development in different regions,in order to more accurately know the growth of the agricultural economy of shandong province real performance,promote the agricultural economy of shandong province to achieve resource conservation,environmental protection and the coordinated development of economic growth,makes the quality of agricultural economic growth better than before.The research finds that:(1)resource and environmental factors have a significant impact on the accounting results of total factor productivity of agriculture in shandong province.(2)considering the constraints of resources and environment,the total factor productivity of agriculture in shandong province is significantly lower than the traditional total factor productivity.The current situation of agricultural economic development in shandong province shows an extensive growth model.Under the constraints of resources and environment,the total factor productivity of agriculture in central and eastern shandong province is higher than that in western shandong province.There is no absolute convergence(convergence and absolute convergence)in total factor productivity of agriculture in shandong province and in the three regions.However,the total factor productivity of agriculture in the whole province and in the three regions shows a trend of conditional convergence,and the total factor productivity of agriculture in the three regions has been growing towards its own steady state level.
Keywords/Search Tags:Agricultural Total Factor Productivity, Agricultural non-point source pollution, Malmquist-Luenberger Productivity Index, Convergence Analysis
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