Coupling coordination analysis of grain production and economic development in Huang-Huai-Hai region

Yifan Zhang () and Bingjun Li ()
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Yifan Zhang: Henan Agricultural University
Bingjun Li: Henan Agricultural University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 11, No 40, 13099-13124

Abstract: Abstract To better coordinate the relationship between grain production (GP) and economic development (ED) in the Huang-Huai-Hai (HHH) region and promote the coordinated growth of grain and economy, this study first established a multi-factor index system of GP and ED and then built a gray coupling coordination (GCC) model based on gray incidence analysis (GIA) method. Finally, the spatial statistical models and principal component analysis (PCA) were combined to reveal the spatiotemporal correlation mechanism of coupling degree (CD), and different coupling coordination types were classified. The results show that: (1) The correlations between the HHH GP system and ED system are all above 0.6, and the correlations are strong. Output efficiency has the strongest supporting effect on ED, and growth potential has the weakest coercive effect on GP. (2) The CD of GP and ED in HHH showed a spatial differentiation pattern of “high in the South, low in the Midwest.” The center of gravity for the CD shows a gradual shift from the southwest to the northeast during 2010–2019. The CD between HHH GP and ED is $$Moran^{\prime}s \, I > 0$$ M o r a n ′ s I > 0 , and different types of coupling regions show a strong spatial dependence. (3) Most cities in HHH are in the break-in stage of GP and ED. The antagonistic type and the coordinated type are clustered in the east, while the low-level coupling type is mainly distributed in the north and southeast.

Keywords: Gray incidence analysis; Gray coupling coordination model; Spatial statistical model; Grain production; Economic development; Huang-Huai-Hai (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10668-022-02605-y

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