Research of spatial and temporal pattern of agricultural production efficiency and its convergence in Beijing-Tianjin-Hebei Region

doi:10.3969/j.issn.1004-9479.2019.05.2018274

Abstract

Abstract:

By dividing the 146 typical counties of Beijing-Tianjin-Hebei Region into five agricultural regions- Beijing and Tianjin suburban agricultural region(I), Northeast Hebei agricultural region(II), Central Hebei Plain agricultural region(III), Tai-hang Mountains agricultural region(IV), Bashang agricultural region(V), this paper measures the agricultural production efficiency of Beijing-Tianjin-Hebei Region and five agricultural regions in 2000-2015 and tests their convergences, and reveals the mechanism of convergence of agricultural production efficiency in Beijing-Tianjin-Hebei Region. The research results show: the trend of agricultural production efficiency in the Beijing-Tianjin-Hebei Region changes smoothly generally stable as a whole, and the agricultural production efficiency of five agricultural regions is V>II>IV>I>III from high to low; the Malmquist index shows a significant fluctuation trend, and technological progress has a significant effect on the improvement of agricultural production efficiency; under the joint influence of the endogenous factors such as agricultural resource endowment and geographical location and the exogenous factors such as economic development environment and technical progress and agricultural support policy, the agricultural production efficiency is improved by optimizing and reorganizing agricultural production factors in Beijing-Tianjin-Hebei Region, and the gap of agricultural production efficiency between the different agricultural regions is narrowed by the factors flow and substitution, which led to the agricultural production efficiency of five agricultural regions in different economic development levels converges to different steady state levels; finally, this paper proposes the specific path for cooperative development of agriculture in Beijing-Tianjin-Hebei Region from the perspectives of modern agricultural production and management system, financial transfer payment mechanism and agricultural scale management and green ecological agriculture.

Key words: agricultural production efficiency, super efficiency DEA, Malmquist Index, pattern, convergence, Beijing-Tianjin-Hebei Region

摘要：

将京津冀地区146个典型县域划分为京津近郊农业区（I）、冀东北农业区（II）、冀中平原农业区（III）、太行山农业区（IV）、坝上农业区（V）五大农业区，测算了2000—2015年京津冀及五大农业区的农业生产效率，检验了京津冀及五大农业区农业生产效率的收敛性，揭示了京津冀地区农业生产效率的收敛机理。研究结果表明，京津冀地区农业生产效率变化趋势总体较为平稳，五大农业区农业生产效率由大到小依次为：V>II>IV>I>III，Malmquist指数呈显著波动趋势，技术进步对对农业生产效率提升的作用显著；在农业资源禀赋、地理区位等内源性因素与经济发展环境、技术进步与农业政策支持等外源性因素的共同作用下，京津冀地区优化重组农业生产要素，提升了农业生产效率，并通过要素流动与要素替代作用，缩小了不同农业区内部的农业生产效率差距，使不同经济发展水平的各农业区农业生产效率收敛于不同稳态水平；最后，从现代农业生产经营体系、财政转移支付机制、农业规模经营等角度提出了京津冀地区农业协同发展的具体路径。

关键词: 农业生产效率, 超效率DEA, Malmquist指数, 格局, 收敛性, 京津冀

Fang FANG. Research of spatial and temporal pattern of agricultural production efficiency and its convergence in Beijing-Tianjin-Hebei Region[J]. World Regional Studies, 2019, 28(5): 130-140.

方方. 京津冀地区农业生产效率的时空格局及收敛性研究[J]. 世界地理研究, 2019, 28(5): 130-140.

Figures/Tables 4

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地区	技术效率（ECH）	技术进步（TCH）	纯技术效率（PECH）	规模效率（SECH）	Malmquist指数
京津冀	1.001	1.103	1.008	0.993	1.104
I	0.991	1.098	1.001	0.989	1.088
II	1.012	1.109	1.010	1.001	1.123
III	1.005	1.079	1.004	1.001	1.084
IV	1.005	1.113	1.004	1.001	1.119
V	1.108	1.108	1.006	1.013	1.228

地区	技术效率（ECH）	技术进步（TCH）	纯技术效率（PECH）	规模效率（SECH）	Malmquist指数
京津冀	1.001	1.103	1.008	0.993	1.104
I	0.991	1.098	1.001	0.989	1.088
II	1.012	1.109	1.010	1.001	1.123
III	1.005	1.079	1.004	1.001	1.084
IV	1.005	1.113	1.004	1.001	1.119
V	1.108	1.108	1.006	1.013	1.228

参数	京津冀	I	II	III	IV	V
lnAE_it	-0.293^*** （-5.360）	-0.395^*** （-3.710）	-0.322^*** （-5.740）	-0.270^*** （-5.860）	-0.257^*** （-6.820）	-0.222^*** （-8.020）
常数项	-0.195^*** （-5.320）	-0.112^*** （-3.800）	-3.521E-04 （-0.050）	-0.119^*** （-5.310）	-0.044^*** （-4.210）	0.052^*** （3.780）
R²_ within	0.2030	0.2370	0.2723	0.2248	0.2800	0.3018
F	28.72	13.74	32.95	34.3	46.54	64.39
估计方法	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay

参数	京津冀	I	II	III	IV	V
lnAE_it	-0.293^*** （-5.360）	-0.395^*** （-3.710）	-0.322^*** （-5.740）	-0.270^*** （-5.860）	-0.257^*** （-6.820）	-0.222^*** （-8.020）
常数项	-0.195^*** （-5.320）	-0.112^*** （-3.800）	-3.521E-04 （-0.050）	-0.119^*** （-5.310）	-0.044^*** （-4.210）	0.052^*** （3.780）
R²_ within	0.2030	0.2370	0.2723	0.2248	0.2800	0.3018
F	28.72	13.74	32.95	34.3	46.54	64.39
估计方法	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay	Driscoll & Kraay

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