重庆市农业转型发展的时空演进及问题区识别——基于全要素生产率视角

doi:10.31497/zrzyxb.20190311

自然资源学报 ›› 2019, Vol. 34 ›› Issue (3): 573-585.doi: 10.31497/zrzyxb.20190311

重庆市农业转型发展的时空演进及问题区识别——基于全要素生产率视角

尹朝静^1,²(), 李兆亮³(), 李欠男⁴, 赵同琳^1,²

1. 西南大学农村经济与管理研究中心,重庆 400715
2. 西南大学经济管理学院,重庆 400715
3. 武汉工程大学法商学院,武汉 430205
4. 华中农业大学经济管理学院,武汉 430070

收稿日期:2018-09-26 修回日期:2019-01-10 出版日期:2019-03-28 发布日期:2019-03-28
作者简介:
作者简介：尹朝静（1989- ）,男,四川内江人,博士,讲师,主要从事农业技术经济学和资源与环境经济学研究。E-mail: yinchaojing@163.com
基金资助:
教育部人文社会科学研究项目（18XJC790018）;重庆市人文社科重点研究基地项目（18SKB033）;国家自然科学基金青年项目（71803145）

Spatiotemporal evolvement and problem region diagnosis of agricultural transformation in Chongqing city: Based on a total factor productivity perspective

YIN Chao-jing^1,²(), LI Zhao-liang³(), LI Qian-nan⁴, ZHAO Tong-lin^1,²

1. Research Centre of Rural Economics and Management, Southwest University, Chongqing 400715, China
2. College of Economics & Management, Southwest University, Chongqing 400715, China
3. School of Law and Business, Wuhan Institute of Technology, Wuhan 430205, China
4. College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China

Received:2018-09-26 Revised:2019-01-10 Online:2019-03-28 Published:2019-03-28

摘要/Abstract

摘要：

研究农业全要素生产率时空演进规律对于合理制定农业转型升级政策具有重要意义。在使用DEA-Malmquist指数模型测算出重庆市37个县（区）2000-2016年农业全要素生产率增长的基础上,结合空间分析方法和核密度估计方法考察农业TFP的时空演进特征,并识别出问题区域。研究表明：（1）2000-2016年间重庆市农业全要素生产率呈上升趋势,农业TFP指数呈“U”型和阶段性波动的变化趋势,并且表现出明显的空间不平衡性。（2）农业TFP指数增减趋势与技术进步指数的变化趋势基本一致,技术进步是影响农业全要素生产率的主要因素。（3）从全市来看,农业TFP的核密度曲线不断向右移动,且波峰高度持续上升,波峰形态由“单峰”分布向“多峰”分布转变,说明重庆市农业全要素生产率的地区差距在考察期内呈增大趋势。（4）依据TFP增长、技术进步和技术效率的关联关系,识别出三种类型的问题区域,并针对每类问题区域提出农业转型发展的政策建议。

关键词: 农业TFP, 时空演进, 核密度估计, 问题区域

Abstract:

Studying the law of spatiotemporal evolution of agricultural total factor productivity is of great significance to formulate the agricultural transformation and upgrading policies rationally. This paper, which is based on the calculation of agricultural total factor productivity growth from 37 counties in Chongqing over the period 2000-2016 by using DEA-Malmquist index model, investigates characteristics of spatiotemporal evolution of agricultural total factor productivity by using spatial analysis and Kernel density estimation methods and identifies the problem regions of Chongqing. The results are listed as follows: (1) From 2000 to 2016, the agricultural total factor productivity is on the rise. The agricultural total factor productivity index has a tendency of "U" type and periodic fluctuation, which shows obvious spatial imbalance. (2) The change trend of agricultural total factor productivity index is similarly consistent with that of technical progress index, which indicates that the technology progress is the main reason for total factor productivity growth. (3) From the view of the whole city, the Kernel density curve of agricultural total factor productivity keeps moving to the right, and the crest height continues to rise. The crest shape changes from "unimodal" to "multi-modal" distribution, which implies that the regional disparity of agricultural total factor productivity shows an increasing trend during the study period. (4) According to the relationship among agricultural total factor productivity growth, technical progress and technical efficiency, three types of problem regions are identified. Then policy suggestions for agricultural transformation and development are proposed for each type of problem region.

Key words: agricultural total factor productivity, spatiotemporal evolution, Kernel density estimation, problem region

尹朝静, 李兆亮, 李欠男, 赵同琳. 重庆市农业转型发展的时空演进及问题区识别——基于全要素生产率视角[J]. 自然资源学报, 2019, 34(3): 573-585.

YIN Chao-jing, LI Zhao-liang, LI Qian-nan, ZHAO Tong-lin. Spatiotemporal evolvement and problem region diagnosis of agricultural transformation in Chongqing city: Based on a total factor productivity perspective[J]. JOURNAL OF NATURAL RESOURCES, 2019, 34(3): 573-585.

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参考文献 33

[1]	王冰. 中国农村社会转型模式、特征和趋势分析. 经济学家, 2007, (4): 97-102.
	[WANG B.Analysis of social transformation modes, characteristics and trends in rural China. Economist, 2007, (4): 97-102.]
[2]	张凤. 中国农村经济转型分析与实例研究. 农村经济, 2011, (2): 27-29.
	[ZHANG F.Analysis of China's rural economy transformation and case studies. Rural Economy, 2011, (2): 27-29.]
[3]	龙花楼, 邹健, 李婷婷, 等. 乡村转型发展特征评价及地域类型划分: 以“苏南—陕北”样带为例. 地理研究, 2012, 31(3): 495-506.
	[LONG H L, ZOU J, LI T T, et al.Study on the characteristics and territorial types of rural transformation development: The case of "Southern Jiangsu-Northern Shaanxi" transect. Geographical Research, 2012, 31(3): 495-506.]
[4]	李裕瑞, 杨乾龙, 曹智. 长江经济带农业发展的现状特征与模式转型. 地理科学进展, 2015, 34(11): 1458-1469.
	[LI Y R, YANG Q L, CAO Z.Current status and pattern transformation of agricultural development in the Yangtze River Economic Belt. Progress in Geography, 2015, 34(11): 1458-1469.]
[5]	邵夏珍. “增人不增地、减人不减地”试验与农村转型: 黔省500农户样本. 改革, 2014, (12): 70-81.
	[SHAO X Z.Test of "Do not increase rural land as the increase in population and do not reduce rural land as the reducing in population" and rural transformation: 500 farmer samples in Guizhou province. Reform, 2014, (12): 70-81.]
[6]	刘奇. 农村社会转型与“三农”政策取向. 中国农村经济, 2007, (4): 4-11.
	[LIU Q.Rural social transformation and the "three agricultures" policy orientation. Chinese Rural Economy, 2007, (4): 4-11.]
[7]	赵彤, 马晓冬, 周玉玉. 江苏省农村经济转型发展的区域分异. 经济地理, 2014, 34(1): 128-132.
	[ZHAO T, MA X D, ZHOU Y Y.The regional differentiation of rural economic transformation development in Jiangsu province. Economic Geography, 2014, 34(1): 128-132.]
[8]	赵红军. 新农村建设、农业转型与工业化城市化: 一个新农村建设作用机制的经济学分析. 南开经济研究, 2010, (6): 47-64.
	[ZHAO H J.New rural reconstruction, agricultural transition, industrialization and urbanization: An economic analysis of the economic mechanisms of the new rural reconstruction in Chinese economic development. Nankai Economic Studies, 2010, (6): 47-64.]
[9]	龚为纲, 黄娜群. 农业转型过程中的政府与市场: 当代中国农业转型过程的动力机制分析. 南京农业大学学报: 社会科学版, 2016, 16(2): 73-83.
	[GONG W G, HUANG N Q.Market and state in the agrarian change: An analysis of dynamics of agrarian change in contemporary China. Journal of Nanjing Agriculture University: Social Sciences Edition, 2016, 16(2): 73-83.]
[10]	郑有贵. 农业转型升级对政府强依赖的原因及其对策: 兼论农业组织化实现形式的优化和转型. 农业经济问题, 2016, 37(10): 4-8.
	[ZHENG Y G.The reasons and countermeasures for the government's strong dependence on the transformation and upgrading of agriculture: Concurrently on the optimization and transformation of the organizational form of agriculture. Issues in Agricultural Economy, 2016, 37(10): 4-8.]
[11]	张富刚, 刘彦随, 张潆文. 我国东部沿海地区农村发展态势评价与驱动力分析. 自然资源学报, 2010, 25(2): 177-184.
	[ZHANG F G, LIU Y S, ZHANG Y W.Analysis of rural development state and driving force in eastern costal China. Journal of Natural Resources, 2010, 25(2): 177-184.]
[12]	翁鸣. 中国农业转型升级与现代农业发展: 新常态下农业转型升级研讨会综述. 中国农村经济, 2017, (4): 88-95.
	[WENG M.China's agricultural transformation upgrading and modern agricultural development: A summary of the symposium on agricultural transformation upgrading under the new normal. Chinese Rural Economy, 2017, (4): 88-95.]
[13]	罗明忠, 万俊毅. 中国农业转型发展: 经验、启示与展望: 首届农业经济理论前沿论坛综述. 经济研究, 2017, 52(6): 198-203.
	[LUO M Z, WANG J Y.China's agricultural transformation and development: Experience, enlightenment and prospects: A summary of the first forum on the frontiers of agricultural economic theory. Economic Research Journal, 2017, 52(6): 198-203.]
[14]	匡远配, 陆钰凤. 农地流转实现农业、农民和农村的同步转型了吗. 农业经济问题, 2016, 37(11): 4-14.
	[KUANG Y P, LU Y F.Does farmland transfer bring about the synchronous transformation of agriculture, farmer and rural area. Issues in Agricultural Economy, 2016, 37(11): 4-14.]
[15]	杨公齐. 农地使用权转让价格与农村社会转型. 经济社会体制比较, 2013, (2): 55-64.
	[YANG G Q.Agricultural land use rights transfer prices and rural social transformation. Comparative Economic & Social Systems, 2013, (2): 55-64.]
[16]	黄海峰, 李铭. 中国农村经济转型的金融支持研究. 农村经济, 2014, (4): 73-77.
	[HUANG H F, LI M.Research on financial support of China's rural economy transformation. Rural Economy, 2014, (4): 73-77.]
[17]	RAY C.Culture, intellectual property and territorial rural development. Sociologia Ruralis, 1998, 38(1): 3-20.
[18]	沈惊宏, 孟德友, 陆玉麒. 皖江城市带承接长三角产业转移的空间差异分析. 经济地理, 2012, 32(3): 43-49.
	[SHEN J H, MENG D Y, LU Y Q.The analysis of spatial difference of Wanjiang demonstration zone undertaking the Yangtze River Delta's industry transfer. Economic Geography, 2012, 32(3): 43-49.]
[19]	HEADEY D, ALAUDDINB M, RAO D S P. Explaining agricultural productivity growth: An international perspective. Agricultural Economics, 2010, 41(1): 1-14.
[20]	TRINDADE F, FULGINITI L E.Is there a slowdown in agricultural productivity growth in South America. Agricultural Economics, 2015, 46(1): 69-81.
[21]	KALIRAJAN K P, OBWONA M B, ZHAO S.A decomposition of total factor productivity growth: The case of China's agricultural growth before and after reform. American Journal of Agricultural Economics, 1996, 78(2): 331-338.
[22]	WU S X, DAVID W, STEPHEN D, et al.Productivity growth and its components in Chinese agriculture after reforms. Review of Development Economics, 2001, 5(3): 375-391.
[23]	MAO W N, KOO W W.Productivity growth, technological progress, and efficiency change in Chinese agriculture after rural economic reforms: A DEA approach. China Economic Review, 1997, 8(2): 157-174.
[24]	全炯振. 中国农业全要素生产率增长的实证分析: 1978-2007. 中国农村经济, 2009, (9): 36-47.
	[QUAN J Z.Empirical analysis of agricultural total factor productivity growth in China: From 1978 to 2007. Chinese Rural Economy, 2009, (9): 36-47.]
[25]	李谷成, 冯中朝, 范丽霞. 农户家庭经营技术效率与全要素生产率增长分解: 1999-2003年: 基于随机前沿生产函数与来自湖北省农户的微观证据. 数量经济技术经济研究, 2007, (8): 25-34.
	[LI G C, FENG Z C, FAN L X.An empirical analysis on the technical efficiencies and the decomposition of TFP of farm's household management. Quantitative Economic and Technical Economic Research, 2007, (8): 25-34.]
[26]	朱娅, 应瑞瑶. 农民的现代性与农业全要素生产率: 基于江苏省农户调查的实证分析. 华东经济管理, 2011, 25(11): 1-5.
	[ZHU Y, YING R Y.Modernization quality and agricultural total factor productivity: Empirical analysis based on the household survey from Jiangsu. East China Economic Management, 2011, 25(11): 1-5.]
[27]	马晓冬, 孙晓欣. 2000年以来江苏省农业转型发展的时空演变及问题区识别: 基于全要素生产率的视角. 经济地理, 2016, 36(7): 132-138.
	[MA X D, SUN X X.Space-time evolvement and problem area diagnosis of agriculture transformation development in Jiangsu province since 2000: Based on a total factor productivity perspective. Economic Geography, 2016, 36(7): 132-138.]
[28]	严先锋, 王辉, 黄靖. 绿色转型视角下地区农业发展与干预机制研究: 基于农业绿色全要素生产率的分析. 科技管理研究, 2017, 37(21): 253-260.
	[YAN X F, WANG H, HUANG J.On regional agricultural development and interventional mechanism from green transformation's perspective: Based on the analysis of total factor productivity. Science and Technology Management Research, 2017, 37(21): 253-260.]
[29]	李谷成. 中国农业的绿色生产率革命: 1978-2008年. 经济学: 季刊, 2014,13(2): 537-558.
	[LI G C.The green productivity revolution of agriculture in Chinese from 1978 to 2008. China Economic Quarterly, 2014, 13(2): 537-558.]
[30]	FÄRE R, GROSSKOPF S, NORRIS M, et al. Productivity growth, technical progress and efficiency change in industrialized countries. The American Economic Review, 1994, 87(5): 66-83.
[31]	HALL R, JONES C.Levels of economic activity across countries. American Economic Review, 1997, 87(2): 173-177.
[32]	郭庆旺, 赵志耘, 贾俊雪. 中国省份经济的全要素生产率分析. 世界经济, 2005, (5): 46-53.
	[GUO Q W, ZHAO Z Y, JIA J X.The analysis of provincial total productivity in China. The Journal of Word Economy, 2005, (5): 46-53.]
[33]	尹朝静, 李谷成, 贺亚亚. 农业全要素生产率的地区差距及其增长分布的动态演进: 基于非参数估计方法的实证研究. 华中农业大学学报: 社会科学版, 2016, (2): 38-46.
	[YIN C J, LI G C, HE Y Y.Regional disparity of agriculture total factor productivity and its growth dynamic evolution: Based on non-parametric estimation methods. Journal of Huazhong Agriculture University: Social Sciences Edition, 2016, (2): 38-46.]

地区	曼奎斯特生产率指数	技术进步指数	技术效率变化指数	地区	曼奎斯特生产率指数	技术进步指数	技术效率变化指数
一小时经济圈	1.033	1.033	0.999	长寿区	1.020	1.018	1.001
大渡口区	1.139	1.139	1.000	渝东南翼	1.003	0.997	1.019
江北区	1.101	1.101	1.000	黔江区	1.020	1.010	1.000
沙坪坝区	1.061	1.061	1.000	武隆县	1.001	1.005	0.990
九龙坡区	1.080	1.080	1.000	石柱县	0.989	0.990	0.999
南岸区	1.061	1.062	0.998	秀山县	0.988	0.993	1.007
北碚区	1.044	1.045	0.998	酉阳县	1.013	0.991	1.019
渝北区	1.037	1.037	1.000	彭水县	1.006	0.992	1.013
巴南区	1.005	1.005	1.000	渝东北翼	0.994	0.989	1.006
綦江区	0.992	0.999	0.994	万州区	0.990	0.988	1.002
潼南县	1.017	1.021	0.996	梁平县	0.987	0.987	1.000
铜梁县	1.024	1.022	1.002	城口县	0.991	0.988	1.003
大足区	1.010	1.008	1.002	丰都县	0.995	0.992	1.004
荣昌县	1.019	1.017	1.002	垫江县	0.984	0.986	0.998
璧山县	1.010	1.010	1.000	忠县	0.989	0.985	1.003
江津区	0.995	0.995	1.000	开县	1.001	0.991	1.011
合川区	0.998	0.998	1.000	云阳县	0.998	0.986	1.012
永川区	1.009	1.011	0.999	奉节县	0.996	0.987	1.010
南川区	1.001	1.005	0.997	巫山县	1.003	0.993	1.010
涪陵区	1.000	1.000	0.999	巫溪县	1.002	0.991	1.011

重庆市农业转型发展的时空演进及问题区识别——基于全要素生产率视角

Spatiotemporal evolvement and problem region diagnosis of agricultural transformation in Chongqing city: Based on a total factor productivity perspective

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