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環(huán)境規(guī)制視角下產業(yè)結構對全要素生產率影響的實證研究

發(fā)布時間:2018-04-05 15:31

  本文選題:環(huán)境規(guī)制 切入點:產業(yè)結構 出處:《江西財經大學》2017年碩士論文


【摘要】:本文首先介紹了國內外相關研究及概念界定,并在此基礎上進行了機理研究,探討了環(huán)境規(guī)制、產業(yè)結構與全要素生產率在機制和數(shù)理上的關系。其次以產業(yè)結構影響全要素生產率的機理機制為背景,根據我國1998-2015年各省面板數(shù)據,構建面板模型,從橫向和縱向兩個維度,分析產業(yè)結構對全要素生產率及其組成部分的作用效應。實證結果顯示產業(yè)結構對全要素生產率及其分解項的作用系數(shù)為正,即產業(yè)結構的調整升級有利于提高全要素生產率。全要素生產率受產業(yè)結構高級化的影響顯著大于合理化所產生的影響,這意味著產業(yè)結構的升級更能帶動全要素生產率的增長。從各分解項上看,產業(yè)結構合理化、高級化對技術效率的作用系數(shù)大于其對配置效率和規(guī)模效率的影響,這說明產業(yè)結構的調整升級更多地促進了技術效率的提升。地方干預對全要素生產率及其分解項的作用關系為負,地區(qū)人均生產總值和人力資本對全要素生產率及其分解項的作用系數(shù)為正,即減輕地方干預強度、提高地區(qū)人均生產總值、注重對人才培養(yǎng)的投入比重均能有效刺激全要素生產率的增加。然后利用環(huán)境規(guī)制約束下產業(yè)結構對全要素生產率的影響機理,基于我國1998-2015年省際面板數(shù)據,構建面板門檻模型,將環(huán)境規(guī)制分為正式與非正式,比較在這兩種不同的規(guī)制約束手段下,產業(yè)結構對全要素生產率作用路徑及作用效應的差異,依據門檻區(qū)間,研究我國各省規(guī)制資源配置狀況,并找出異質原因。實證結果顯示,受正式規(guī)制的約束,產業(yè)結構合理化、高級化對全要素生產率呈抑制作用,但受非正式規(guī)制約束的產業(yè)結構合理化、高級化,對全要素生產率卻呈促進作用,即不同的規(guī)制約束手段,產業(yè)結構對全要素生產率的影響具有差異性。正式規(guī)制存在單一門檻,低水平的正式規(guī)制不利于產業(yè)結構促進全要素生產率,當正式規(guī)制跨越門檻限制之后,產業(yè)結構帶動全要素生產率,即正式規(guī)制下產業(yè)結構與全要素生產率呈“U”型關系。非正式規(guī)制存在雙重門檻,產業(yè)結構合理化在非正式規(guī)制位于門檻值之間時,對全要素生產率的刺激效應最大,而全要素生產率,在產業(yè)結構高級化隨非正式規(guī)制水平提高的過程中,受到的正向影響逐步激增,即總體上看,受非正式規(guī)制的約束,產業(yè)結構利于全要素生產率,綜合正式、非正式規(guī)制的區(qū)間效應,發(fā)現(xiàn)存在最優(yōu)規(guī)制區(qū)間,在此區(qū)間內,影響效應最優(yōu)。依據最優(yōu)門檻區(qū)間,將我國各省規(guī)制資源配置狀況劃分成一個“雙優(yōu)”組,兩個“單優(yōu)”組和一個“雙非優(yōu)”組,具體探究各省規(guī)制資源配置狀況差異的原因。最后依據實證研究結果,給出具有可借鑒性的對策建議。
[Abstract]:This paper first introduces the related research and concept definition at home and abroad, and on the basis of this, studies the mechanism of environmental regulation, industrial structure and total factor productivity in the mechanism and mathematical relationship.Secondly, based on the mechanism and mechanism of industrial structure influencing total factor productivity, according to the provincial panel data from 1998 to 2015, the panel model is constructed from the horizontal and vertical dimensions.This paper analyzes the effect of industrial structure on total factor productivity and its components.The empirical results show that the effect of industrial structure on total factor productivity and its decomposition is positive, that is, the adjustment and upgrading of industrial structure is conducive to the improvement of total factor productivity.Total factor productivity (TFP) is significantly more affected by higher industrial structure than by rationalization, which means that the upgrading of industrial structure can promote the growth of TFP.From the point of view of various decomposition items, the effect coefficient of rationalization and upgrading of industrial structure on technical efficiency is greater than that on allocation efficiency and scale efficiency, which indicates that the adjustment and upgrading of industrial structure promote the improvement of technical efficiency.The effect of local intervention on total factor productivity and its decomposition is negative, and the coefficient of per capita GDP and human capital on total factor productivity and its decomposition is positive, that is, to reduce the intensity of local intervention.Increasing regional per capita GDP and paying attention to the proportion of personnel training can effectively stimulate the increase of total factor productivity.Then, based on the provincial panel data from 1998 to 2015, a panel threshold model is constructed to classify environmental regulation into formal and informal, using the mechanism of the impact of industrial structure on total factor productivity under the constraint of environmental regulation, and based on the inter-provincial panel data from 1998 to 2015 in China.In this paper, we compare the difference of the path and effect of industrial structure to total factor productivity under these two different regulatory constraints. According to the threshold interval, we study the allocation of regulatory resources in each province of China, and find out the heterogeneity reasons.The empirical results show that under the restriction of formal regulation, the rationalization of industrial structure and the upgrading of industrial structure inhibit the total factor productivity, but the rationalization and upgrading of the industrial structure restricted by informal regulation promote the total factor productivity.In other words, the influence of industrial structure on total factor productivity is different with different means of regulation.Formal regulation has a single threshold, low level of formal regulation is not conducive to industrial structure to promote total factor productivity.That is, under formal regulation, the relationship between industrial structure and total factor productivity is "U".There is a double threshold in informal regulation. When informal regulation lies between the thresholds, the stimulating effect of informal regulation on total factor productivity is the greatest, and total factor productivity is the most important.In the process of upgrading the industrial structure with the improvement of informal regulation level, the positive influence of the industrial structure has been increased gradually, that is, in general, the industrial structure is conducive to the total factor productivity, which is formalized by the informal regulation.The interval effect of informal regulation shows that there is an optimal regulation interval in which the influence effect is optimal.According to the optimal threshold interval, the regulation resource allocation in each province of China is divided into a "double optimal" group, two "single optimal" groups and a "double non-optimal" group. The reasons for the differences in the regulation resource allocation in each province are discussed in detail.Finally, according to the results of empirical research, some countermeasures and suggestions are given.
【學位授予單位】:江西財經大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:X22;F121.3;F224

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