辽吉两省玉米全要素生产率研究
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摘要
本研究主要在分析比较国内外全要素生产率研究方法的基础上,根据我国辽吉两省玉米生产的经济背景及可获得的数据资料,采用Tornqvist指数法测算辽吉两省玉米全要素生产率(全要素生产率是总产出与总投入的比率)水平,运用Malmquist指数法测算辽吉两省玉米全要素生产率增长率。
为了全面把握全要素生产率的投入产出分析的国际前沿动态,本文通过研究比较国外和国内学者测算全要素生产率的理论和方法,并且选择引用DEA的研究模型,进行了DEA理论框架分析和试运算,选用了文本的研究方法。模型上选择了适应玉米生产的研究模型,对相关数据进行了调整、修正。为使统计数据与研究方法相匹配,本文用以价格为权数的Torngvist指数法测算辽吉两省玉米全要素生产率,用不需要价格数据、只需要数量数据的Malmquist指数法测算辽吉两省各样本县的玉米全要素生产率增长率。在此基础上建立了投入产出数据库,即1995～2005年辽吉两省分县跨年度的玉米全要素生产率投入产出数据库,这些数据库分别与TFPIP1.0和DEAP2.1测算软件相连接,实现了可视化、规范化的计量分析,为后续相关研究提供了实用性分析工具。
通过实证分析辽吉两省玉米生产总产出、各要素投入和玉米全要素生产率的发展变化情况,分析其增长情况,从而反映出近十年以来辽吉两省各时期玉米产出、投入及生产率增长情况及其变化趋势。在此基础上,研究分析其发展变化的动因,为玉米全要素生产率增长因素分析奠定基础,并为未来玉米生产增长提供指导。
从研究结果上分析,本文明晰了辽吉两省玉米全要素生产率增长的变化走势。据测算,1995～2002年,辽吉两省玉米全要素生产率年均增长速度为0.1%,2002～2005年,年均增长速度分别为1.66%。本文比较了辽吉两省不同样本县的增长差异。分县玉米全要素生产率的测算结果表明,在测算期间,辽吉两省各县玉米全要素生产率增长缓慢,技术进步是玉米全要素生产率增长的主要原因,规模效率和总体技术效率两省各样本县变化不大。吉林省各样本县玉米全要素生产率增长快于辽宁省各样本县。研究主要从技术效率、规模效率和技术进步几个方面阐述了促进全要素生产率增长的措施及建议。
This study analyzed and compared in total factor productivity at home and abroad on the basis of research methods, according to China's provinces of Liaoning and Jilin maize production and the economic background of available data, using Tornqvist index measured the provinces of Liaoning and Jilin corn total factor productivity (the whole Factor productivity is the total output and total investment ratio) levels, use of Malmquist index measured the provinces of Liaoning and Jilin corn total factor productivity growth.
To fully grasp the total factor productivity of the input-output analysis of the international forefront of developments in this paper on foreign and domestic scholars compare estimates total factor productivity of the theories and methods, and choose the research model used DEA, the DEA theoretical framework for analysis and test operation , The text of the selection method. Choose a model to study the maize production model, the relevant data have been adjusted and amended. To make statistical data and research methods match, the paper used for the right price for the number of Torngvist index measured the provinces of Liaoning and Jilin corn total factor productivity, do not need to use price data, only the number of data Malmquist index calculations Liaoning and Jilin's samples of corn in total factor productivity growth. Based on this input-output established a database, that is, from 1995 to 2005 the provinces of Liaoning and Jilin at the county inter-annual total factor productivity of corn input-output database, with TFPIP1.0 these databases and software connected DEAP2.1 calculations and realize The visualization, analysis of standardized measures for the follow-up study provides a practical analysis tools.
An Empirical Analysis of through the provinces of Liaoning and Jilin total maize production output, input and the elements of maize total factor productivity changes in the development, analysis of its growth, which reflects nearly 10 years since all the provinces of Liaoning and Jilin during the maize output, input and Productivity growth and its trend. On this basis, the analysis of the dynamic changes in their development because, for the corn total factor productivity growth factors lay the foundation for the future and growth in corn production to provide guidance.
The results from the analysis, this clarity of the provinces of Liaoning and Jilin corn total factor productivity growth in the trend. According to estimates, from 1995 to 2002, the provinces of Liaoning and Jilin corn total factor productivity average annual growth rate of 0.1 percent, from 2002 to 2005, with an average annual growth rate of 1.66 percent, respectively. This article compared the different provinces of Liaoning and Jilin in the growth of different samples. Corn at the county's total factor productivity measured results show that in calculations, the provinces of Liaoning and Jilin counties corn slow growth of total factor productivity, technological progress, the whole corn is the main factor productivity growth, scale and efficiency of the overall technical efficiency of the various provinces of samples County Not much will change. County, Jilin Province, the corn samples total factor productivity growth faster than the samples County in Liaoning Province. Study from the technical efficiency, the scale of efficiency and technological progress on several areas to promote the growth of total factor productivity measures and recommendations.
为了全面把握全要素生产率的投入产出分析的国际前沿动态,本文通过研究比较国外和国内学者测算全要素生产率的理论和方法,并且选择引用DEA的研究模型,进行了DEA理论框架分析和试运算,选用了文本的研究方法。模型上选择了适应玉米生产的研究模型,对相关数据进行了调整、修正。为使统计数据与研究方法相匹配,本文用以价格为权数的Torngvist指数法测算辽吉两省玉米全要素生产率,用不需要价格数据、只需要数量数据的Malmquist指数法测算辽吉两省各样本县的玉米全要素生产率增长率。在此基础上建立了投入产出数据库,即1995～2005年辽吉两省分县跨年度的玉米全要素生产率投入产出数据库,这些数据库分别与TFPIP1.0和DEAP2.1测算软件相连接,实现了可视化、规范化的计量分析,为后续相关研究提供了实用性分析工具。
通过实证分析辽吉两省玉米生产总产出、各要素投入和玉米全要素生产率的发展变化情况,分析其增长情况,从而反映出近十年以来辽吉两省各时期玉米产出、投入及生产率增长情况及其变化趋势。在此基础上,研究分析其发展变化的动因,为玉米全要素生产率增长因素分析奠定基础,并为未来玉米生产增长提供指导。
从研究结果上分析,本文明晰了辽吉两省玉米全要素生产率增长的变化走势。据测算,1995～2002年,辽吉两省玉米全要素生产率年均增长速度为0.1%,2002～2005年,年均增长速度分别为1.66%。本文比较了辽吉两省不同样本县的增长差异。分县玉米全要素生产率的测算结果表明,在测算期间,辽吉两省各县玉米全要素生产率增长缓慢,技术进步是玉米全要素生产率增长的主要原因,规模效率和总体技术效率两省各样本县变化不大。吉林省各样本县玉米全要素生产率增长快于辽宁省各样本县。研究主要从技术效率、规模效率和技术进步几个方面阐述了促进全要素生产率增长的措施及建议。
This study analyzed and compared in total factor productivity at home and abroad on the basis of research methods, according to China's provinces of Liaoning and Jilin maize production and the economic background of available data, using Tornqvist index measured the provinces of Liaoning and Jilin corn total factor productivity (the whole Factor productivity is the total output and total investment ratio) levels, use of Malmquist index measured the provinces of Liaoning and Jilin corn total factor productivity growth.
To fully grasp the total factor productivity of the input-output analysis of the international forefront of developments in this paper on foreign and domestic scholars compare estimates total factor productivity of the theories and methods, and choose the research model used DEA, the DEA theoretical framework for analysis and test operation , The text of the selection method. Choose a model to study the maize production model, the relevant data have been adjusted and amended. To make statistical data and research methods match, the paper used for the right price for the number of Torngvist index measured the provinces of Liaoning and Jilin corn total factor productivity, do not need to use price data, only the number of data Malmquist index calculations Liaoning and Jilin's samples of corn in total factor productivity growth. Based on this input-output established a database, that is, from 1995 to 2005 the provinces of Liaoning and Jilin at the county inter-annual total factor productivity of corn input-output database, with TFPIP1.0 these databases and software connected DEAP2.1 calculations and realize The visualization, analysis of standardized measures for the follow-up study provides a practical analysis tools.
An Empirical Analysis of through the provinces of Liaoning and Jilin total maize production output, input and the elements of maize total factor productivity changes in the development, analysis of its growth, which reflects nearly 10 years since all the provinces of Liaoning and Jilin during the maize output, input and Productivity growth and its trend. On this basis, the analysis of the dynamic changes in their development because, for the corn total factor productivity growth factors lay the foundation for the future and growth in corn production to provide guidance.
The results from the analysis, this clarity of the provinces of Liaoning and Jilin corn total factor productivity growth in the trend. According to estimates, from 1995 to 2002, the provinces of Liaoning and Jilin corn total factor productivity average annual growth rate of 0.1 percent, from 2002 to 2005, with an average annual growth rate of 1.66 percent, respectively. This article compared the different provinces of Liaoning and Jilin in the growth of different samples. Corn at the county's total factor productivity measured results show that in calculations, the provinces of Liaoning and Jilin counties corn slow growth of total factor productivity, technological progress, the whole corn is the main factor productivity growth, scale and efficiency of the overall technical efficiency of the various provinces of samples County Not much will change. County, Jilin Province, the corn samples total factor productivity growth faster than the samples County in Liaoning Province. Study from the technical efficiency, the scale of efficiency and technological progress on several areas to promote the growth of total factor productivity measures and recommendations.
引文
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