吉林省县域经济效率时空格局演化研究

doi:10.13249/j.cnki.sgs.2019.08.011

Abstract

Abstract:

County economy is the important support of China's economic growth, while the promotion of total factor productivity has become the only way to promote the economic growth of the county. Based on 11-year panel data of 39 counties in Jilin Province, the article estimated the total factor productivity of the counties, using the DEA-Malmquist index method. And then, by means of the exploratory spatial data analysis (ESDA), the article made a further study on the spatial correlation and spatial difference of the economic development efficiency of the counties from different time dimensions. Research findings: 1) During the inspection period, the total factor productivity of county area in Jilin Province was generally rising, and the differences among counties showed the trend of expanding first and then narrowing. And there is no positive correlation between total factor productivity and county economic aggregate; 2) In terms of total factor productivity improvement, technological progress has played a dominant role, but in recent years, the contribution to total factor productivity has decreased year by year. While the promoting effect of technical efficiency and scale efficiency on the total factor productivity of Jilin Province is increasing year by year; 3) As far as the whole province is concerned, there is no significant global spatial autocorrelation in the total factor productivity of the counties, and the spatial pattern of random distribution is basically presented. However, in the local spatial scale, there is a certain degree of spatial agglomeration, and the main distribution pattern is H-H and H-L; 4) The spatial and temporal differentiation of economic efficiency between counties is mainly affected by their resource endowment and county economic division, industrial structure and economic agglomeration level formed on this basis.

Key words: county economy, total factor productivity, economic efficiency of the counties, DEA-Malmquist index, Jilin Province

CLC Number:

F127

Li Ning,Li Tiebin,Fang Yangang,Zhou Lijun,Wang Yu,Zhao Wei. Spatiotemporal Pattern Evolution of Economic Efficiency in County Area of Jilin Province Based on Malmquist and ESDA[J].SCIENTIA GEOGRAPHICA SINICA, 2019, 39(8): 1293-1301.

Figures/Tables 10

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References 36

[1]	段文卫 .改革生产方式,发展绿色产业,推动县域经济可持续健康发展[EB/OL].紫光阁网, .
	[ Duan Wenwei. Reform production mode, develop green industries and promote sustainable and healthy development of the county economy. .]
[2]	成丹 . 新常态下县域经济发展量化评价及协调度分析——以辽宁为例[J].经济研究参考, 2017(29):106-112.
	[ Cheng Dan . Quantitative evaluation and coordination analysis of county economic development under the new normal—Take Liaoning as an example. Review of Economic Research, 2017(29):106-112.]
[3]	孙学涛, 王振华, 张广胜 . 县域全要素生产率提升中存在结构红利吗? ——基于中国1869个县域的面板数据分析[J]. 中南财经政法大学学报, 2017(6):73-82.
	[ Sun Xuetao, Wang Zhenhua, Zhang Guangsheng . Is there a structural dividend in the improvement of the TFP in counties?—The analysis based on panel data of 1869 counties of China. Journal of Zhongnan University of Economics and Law, 2017(6):73-82.]
[4]	Solow R M . A contribution to the theory of economic growth[J]. Quarterly Journal of Economics, 1956,70(1):65-94.
[5]	Danison E F . Why growth rates differ: Post-war experience in nine western countries[M]. Washington: Brookings Institution, 1967.
[6]	Jorgenson, Dale W, Zvi Grillches . The explanation of productivity change[J].Review of Economic Studies, 1967(34):249-283.
[7]	Charnes A, Coope W W, Rhodes E . Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978,2(6):429-444.
[8]	Fare Rolf, Grosskopf Shawna, Norris Mary et al. Productivity growth, technical progress and efficiency change in industrialized countries[J]. American Economic Review, 1994(84):66-83.
[9]	Battese GE, Coelli TJ . A model of technical inefficiency effects in stochastic frontier production for panel data[J]. Empirical Economics, 1995(20):325-332.
[10]	Tim Coelli, D S Prasada Rao, Christopher J O'Donnell et al. An introduction to efficiency and productivity analysis[M]. Springer Science & Business Media, 2005.
[11]	Macmillan W D . The estimation and applications of multi-regional economic planning models using data environments analysis[J]. Papers of the Regional Science Association, 1986(60):41-57.
[12]	Abraham Charnes, William W Cooper, Shanling Li . Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities[J]. Socio-Economic Planning Science, 1989,23(6):325-340.
[13]	王小鲁 . 中国经济增长的可持续性与制度变革[J].经济研究, 2000(7):3-14.
	[ Wang Xiaolu . Sustainability of China's economic growth and institutional changes. Economic Research Journal, 2000(7):3-14.]
[14]	杨开忠, 谢燮 . 中国城市投入产出有效性的数据包络分析[J]. 地理学与国土研究, 2002,18(3):45-47.
	[ Yang Kaizhong, Xie Xie . The analysis about DEA-efficiency of China cities' input-output. Geography and Territorial Research, 2002,18(3):45-47.]
[15]	李邮, 徐现祥, 陈浩辉 . 20世纪90年代中国城市效率的时空变化[J]. 地理学报, 2005,60(4):615-625.
	[ Li You, Xu Xianxiang, Chen Haohui . Temporal and spatial changes of urban efficiency in the 1990s. Acta Geographica Sinica, 2005,60(4):615-625.]
[16]	郭庆旺, 贾俊雪 .中国全要素生产率的估算: 1979 -2004[J]. 经济研究, 2005(6):51-60.
	[ Guo Qingwang, Jia Junxue . Estimating total factor productivity in China: 1979 -2004. Economic Research Journal, 2005(6):51-60.]
[17]	章祥荪, 贵斌威 . 中国全要素生产率分析:Malmquist指数法评述与应用[J].数量经济技术经济研究, 2008(6):111-122.
	[ Zhang Xiangsun, Gui Binwei . The analysis of total factor productivity in China: A review and application of malmquist index approach. The Journal of Quantitative & Technical Economics, 2008(6):111-122.]
[18]	周鹏, 潘嗥 . 区域经济增长技术效率差异分析——以浙江省为例[J]. 经济地理, 2010,30(5):801-807.
	[ Zhou Peng, Pan Hao . Variation of technology efficiency of regional economic growth—A case in Zhejiang province. Economic Geography, 2010,30(5):801-807.]
[19]	石风光, 何雄浪 . 全要素生产率、要素投入与中国地区经济差距的动态分布分析[J]. 南京社会科学, 2010(2):24-30.
	[ Shi Fengguang, He Xionglang . A dynamic distribution analysis of total factor productivity, factor input and Chinese regional disparity. Social Sciences in Nanjing, 2010(2):24-30.]
[20]	孙威, 董冠鹏 . 基于DEA模型的中国资源型城市效率及其变化[J]. 地理研究, 2010,29(12):2155-2165.
	[ Sun Wei, Dong Guanpeng . The efficiencies and their changes of China's resources—Based on employing DEA and malmquist index models. Geographical Research, 2010,29(12):2155-2165.]
[21]	方创琳, 关兴良 . 中国城市群投入产出效率的综合测度与空间分异[J]. 地理学报, 2011,66(8):1011-1022.
	[ Fang Chuanglin, Guan Xingliang . Comprehensive measurement and spatial distinction of input-output efficiency of urban agglomerations in China. Acta Geographica Sinica, 2011,66(8):1011-1022.]
[22]	刘建国, 李国平, 张军涛 , 等. 中国经济效率和全要素生产率的空间分异及其影响[J]. 地理学报, 2012,67(8):1069-1084.
	[ Liu Jianguo, Li Guoping, Zhang Juntao et al. Spatial distribution and its affecting factors of economy efficiency and total factor productivity in China. Acta Geographica Sinica, 2012,67(8):1069-1084.]
[23]	卢洪友, 郑法川, 贾莎 . 前沿技术进步、技术效率和区域经济差距[J]. 中国人口·资源与环境, 2012,22(5):120-125.
	[ Lu Hongyou, Zheng Fachuan, Jia Sha . Frontier technical development, technical efficiency and regional disparity. China Population, Resources and Environment, 2012,22(5):120-125.]
[24]	余泳泽 . 中国省际全要素生产率动态空间收敛性研究[J].世界经济, 2015(10):30-55.
	[ Yu Yongze . Study on dynamic spatial convergence of total factor productivity in China. The Journal of World Economy, 2015(10):30-55.]
[25]	任世鑫, 谢志祥, 李阳 , 等. 中原经济区城市效率时空格局演变研究[J]. 河南大学学报(自然科学版), 2017,47(2):147-154.
	[ Ren Shixin, Xie Zhixiang, Li Yang et al. Study on spatiotemporal pattern evolution of urban efficiency in central plains economic region. Journal of Henan University (Natural Science), 2017,47(2):147-154.]
[26]	吉林省统计局. 吉林统计年鉴[M]. 北京: 中国统计出版社,2006- 2016.
	[ Jilin Statistical Bureau. Jilin statistical yearbook. Beijing: China Statistics Press,2006- 2016.]
[27]	郭庆海 . 吉林省县域经济发展的特点及路径[J].经济纵横, 2013(8):66-71.
	[ Guo Qinghai . Characteristics and path of county economy development in Jilin province. Economic Review, 2013(8):66-71.]
[28]	Farrell M J . The measurement of productive efficiency[J]. Journal of the Royal Statistical Society, Series A (General), 1957,120(3):253-281.
[29]	Fare Rolf, Knox Lovell C A . Measuring the technical efficiency of production[J]. Journal of Economic Theory, 1978,19(1):150-162.
[30]	Caves DW, Christensen LR, Diewert W E . The economic theory of index numbers and the measurement of input, output and productivity[J]. Econometrica, 1982,50(6):1393-1414.
[31]	Ray S C, Delsi E . Productivity growth, technical progress and efficiency change in industrialized countries: Comment[J]. American Economic Review, 1997(87):1033-1039.
[32]	王贺封, 石忆邵, 尹昌应 . 基于DEA模型和Malmquist生产率指数的上海市开发区用地效率及其变化[J]. 地理研究, 2014,33(9):1636-1646.
	[ Wang Hefeng, Shi Yishao, Yin Changying . Land use efficiencies and their changes of Shanghai's development zones employing DEA model and Malmquist productivity index. Geographical Research, 2014,33(9):1636-1646.]
[33]	Julie Le Gallo, Cem Ertur . Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe,1980-1995[J]. Regional Science, 2003,82(2):175-201.
[34]	Luc Anselin . Local indicators of spatial association-LISA[J]. Geographical Analysis, 1995,27(2):93-115.
[35]	王昱 . 吉林省县域经济发展的空间特征及其成因研究[J].国土与自然资源研究, 2006(2):1-3.
	[ Wang Yu . The research on spatial features and its causation of county economy in Jilin province . Territory & Natural Resources Study, 2006(2):1-3.]
[36]	高翯, 王士君, 谭亮 . 东北振兴以来吉林省区域经济差异的时空演变研究[J]. 地理科学, 2017,37(11):1712-1719.
	[ Gao He, Wang Shijun, Tan Liang . Regional economic disparities and spatio-temporal evolution in Jilin province since 2003. Scientia Geographica Sinica, 2017,37(11):1712-1719.]

指标类型	指标选取（单位）	评价目的
投入	固定资产投资额（万元）	资本存量
	从业人员数（单位、乡村）（人）	劳动力投入
	财政支出（科技、教育）（万元）	技术进步、人力资本
产出	地区生产总值（万元）	经济效益
	社会消费品零售总额（万元）	社会福利
	单位从业人员平均劳动报酬（元）	居民生活

年份	技术变化		纯效率变化		规模效率变化		全要素生产率(M_k)
年份	均值	变异系数	均值	变异系数	均值	变异系数	均值	变异系数
2006	1.032	0.064	0.989	0.114	1.003	0.079	1.021	0.128
2007	1.037	0.127	1.034	0.138	0.997	0.070	1.061	0.149
2008	3.588	0.205	0.984	0.096	1.055	0.091	3.767	0.284
2009	0.289	0.225	1.052	0.072	1.004	0.050	0.305	0.234
2010	1.084	0.109	0.992	0.070	1.000	0.047	1.070	0.102
2011	1.169	0.065	0.994	0.101	0.992	0.061	1.150	0.119
2012	1.076	0.066	1.009	0.059	0.990	0.031	1.074	0.082
2013	1.042	0.070	1.028	0.075	1.001	0.029	1.071	0.092
2014	1.036	0.043	1.013	0.056	1.010	0.043	1.059	0.073
2015	1.023	0.060	1.026	0.059	1.027	0.063	1.076	0.088
均值	1.238	0.103	1.012	0.084	1.008	0.056	1.265	0.135

	2006年	2007年	2008年	2009年	2010年
Moran's I	0.250740	-0.123414	0.351845	0.580101	0.064258
Z	1.951771	-0.668290	2.580378	4.215935	0.642646
P	0.050965	0.503949	0.009869	0.000025	0.520454
	2011年	2012年	2013年	2014年	2015年
Moran's I	-0.024617	-0.004675	-0.180969	0.104833	-0.003056
Z	0.012159	0.149172	-1.094051	0.911476	0.160802
P	0.990299	0.881418	0.273933	0.362045	0.872250

Spatiotemporal Pattern Evolution of Economic Efficiency in County Area of Jilin Province Based on Malmquist and ESDA

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