中部地区承接国际产业转移效率及驱动机理研究——基于超效率DEA模型和面板回归分析

发布时间：2018-05-09 19:44

本文选题：国际产业转移 + 超效率DEA　；参考：《长江流域资源与环境》2017年07期

【摘要】：为研究我国中部6省近15a承接国际产业转移成效,探索提高承接国际产业转移水平路径,从投入产出角度构建了承接国际产业转移效率测度指标体系,采用EMS3.1软件测度了我国中部6省80个地级单元2000~2014年承接国际产业转移效率的时空分异特征,结合GeoDa095i软件分析了中部地区承接国际产业转移效率的时空分异格局及空间关联性;在分析影响承接国际产业转移效率机制的基础上,采用固定效应模型对我国中部6省承接国际产业转移效率的影响因素进行定量分析。结果表明:(1)2000~2014年间处于DEA有效的地市数量逐渐增加,处于波动上升的地市有52个,呈现下降趋势的有28个,省会城市及其周边地区DEA效率值相对高于其他地区;(2)中部地区承接国际产业转移效率空间分异显著,具有明显的空间群聚效应;(3)产业支撑因子、产业吸引因子、产业发展因子对中部地区承接国际产业转移效率影响较为显著,而产业鉴别因子影响相对较弱。影响因素回归系数由大到小分别为二、三产业从业人员比重、客运总量、职工平均工资、人均GDP、年末金融机构存款余额研究与试验发展(RD)经费支出。基于研究结果对中部地区承接国际产业转移提出了相应对策建议。
[Abstract]:In order to study the effect of undertaking international industrial transfer in 6 provinces of central China in recent 15 years and to explore ways to improve the level of undertaking international industrial transfer, this paper constructs an index system to measure the efficiency of undertaking international industrial transfer from the angle of input and output. Using EMS3.1 software, the paper measures the spatio-temporal differentiation characteristics of 80 units in central China from 2000 to 2014 to undertake international industrial transfer, and analyzes the spatio-temporal differentiation pattern and spatial correlation of the efficiency of undertaking international industrial transfer in central China with GeoDa095i software. Based on the analysis of the mechanism affecting the efficiency of undertaking international industrial transfer, the fixed effect model is used to quantitatively analyze the factors affecting the efficiency of undertaking international industrial transfer in six provinces of central China. The results showed that the number of effective cities in DEA increased gradually, 52 cities were in fluctuation and 28 cities showed a downward trend during the period from 2000 to 2014. The efficiency of DEA in the provincial capital and its surrounding areas is higher than that in other regions. (2) the efficiency of international industrial transfer in the central region is significantly different, and the spatial clustering effect is obvious. (3) the industrial support factor and the industrial attraction factor. The industrial development factor has a significant effect on the efficiency of undertaking international industrial transfer in the central region, while the industrial identification factor has a relatively weak effect. The regression coefficient of influencing factors from big to small is the proportion of employees in the second and third industries, the total amount of passenger transport, the average wages of employees, the per capita GDP. the research and experimental development of the balance of deposits in financial institutions at the end of the year. Based on the research results, the corresponding countermeasures and suggestions are put forward for the central region to undertake international industrial transfer.
【作者单位】：中国地质大学(武汉)公共管理学院;中国地质大学(武汉)国土资源部法律评价工程重点实验室;
【基金】：中国地质调查局地质调查项目(12120115051101) 国家公益性行业科研专项“土地利用转型经济社会效应评价关键技术集成研究”(201511004-4)~~
【分类号】：F127;F224

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