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Journal of Henan Agricultural University. 2023, (01)

Coupling coordination and spatial correlation analysis of agricultural ecological environment and agricultural economy in major grain producing areasChinese Full TextEnglish Full Text (MT)

SHANG Jie;CONG Dianqin;School of Economics and Management, Northeast Forestry University;

Abstract: 【Objective】This study was conducted to explore the coupling and coordination law and spatial correlation characteristics of agricultural ecological environment and agricultural economy in major grain producing areas in China, so as to provide intellectual support for the coordinated development of agricultural ecological environment and agricultural economy.【Method】Based on the inter provincial panel data from 2005 to 2020, the coupling spatial-temporal characteristics and spatial correlation pattern of agricultural ecological environment and agricultural economy in the major grain producing areas are empirically analyzed by using the coupling coordination degree model and spatial autocorrelation model.【Result】The coupling coordination degree between agricultural ecological environment and agricultural economy in the major grain producing areas shows a slow upward trend and the spatial unbalanced development trend of “being high in the north and low in the South”. Agricultural ecological environment and agricultural economy both show a positive correlation in the overall space, under which there is local spatial differentiation. There is a positive spatial correlation between them. High-high and low-low are the main spatial agglomeration modes.【Conclusion】The regional relevance and spatial heterogeneity of agricultural ecological environment and agricultural economy should be fully considered, and the agricultural production cooperation and exchange between adjacent regions should be strengthened to improve the efficiency of regional collaborative governance.
Keywords：

major grain producing areas; agricultural ecological environment; agricultural economic; coupling coordination; spatial autocorrelation;

  • DOI：

    10.16445/j.cnki.1000-2340.20220824.002

  • Series：

    (D) Agriculture; (B) Chemistry/ Metallurgy/ Environment/ Mine Industry; (J) Economics ＆ Management

  • Subject：

    Environment Science and Resources Utilization; Agriculture Economy

  • Classification Code：

    F323;X22

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