CAJ | 학술논문

本文运用DEA-BCC模型,对四川省21个地市州的人力、资本、能源和产出四个投入产出变量的生产松弛变量进行估算,考察四川各地区生产是否处于生产有效前沿面上。利用SBM方向性距离函数测算出各个决策单元的生产无效率值,进而构建并分解Luenberger全要素生产率（TFP）指标,对四川省2006年至2012年间经济增长效率变化趋势与因素进行分析。结果表明：（1）在研究期内,成都、自贡、攀枝花等五个地区始终处于生产有效前沿面上;（2）四川省经济发展整体上以成都为中心,愈向周边扩散,生产无效率逐渐严重,而资本和产出是无效率的主要来源;（3）全要素生产率的分解结果显示四川省整体生产绩效的提高主要来源于技术进步而非效率改善;（4）经济增长效率变化的要素分解表明,资本和产出是推动经济增长效率提高的主要因素。
본문운용DEA-BCC모형,대사천성21개지시주적인력、자본、능원화산출사개투입산출변량적생산송이변량진행고산,고찰사천각지구생산시부처우생산유효전연면상。이용SBM방향성거리함수측산출각개결책단원적생산무효솔치,진이구건병분해Luenberger전요소생산솔（TFP）지표,대사천성2006년지2012년간경제증장효솔변화추세여인소진행분석。결과표명：（1）재연구기내,성도、자공、반지화등오개지구시종처우생산유효전연면상;（2）사천성경제발전정체상이성도위중심,유향주변확산,생산무효솔축점엄중,이자본화산출시무효솔적주요래원;（3）전요소생산솔적분해결과현시사천성정체생산적효적제고주요래원우기술진보이비효솔개선;（4）경제증장효솔변화적요소분해표명,자본화산출시추동경제증장효솔제고적주요인소。
The paper has used DEA - BCC models to estimate output slack variables of four input - output vari- ables consisting of human, capital and energy and productivity among 21 counties in Sichuan province and de- cide whether regional production in Sichuan has been placed on the efficient frontier. Then the paper has used SBM directional distance function to calculate the value of production inefficiencies of each decision unit, then build and decompose Luenberger total factor productivity （TFP） indicators to analyze economic growth efficiency trend and factors from 2006 to 2012 in Sichuan province. Results have shown the following four points. Firstly, within research period, five areas including Chengdu, Zigong, and Panzhihua have always taken the position of production effective frontier. Secondly, Chengdu is the economic center of Sichuan province, further around diffusion means less production efficiency, in which capital and output are the main source. Thirdly, decom- position results of full elements productivity have displayed that the improvement of overaU production perfor- mance in Sichuan province is main derived fi＇om technology progress rather than efficiency improvement. Fourthly, dements decomposition of economic growth and efficiency change have shown that capital and output are the main factors driving economic growth efficiency.