Analysis on the Temporal and Spatial Features of the Coupling and Coordination of Industrialization and Agricultural Green Development in China during 1990–2019

Abstract

In the past 30 years, China’s industrialization level has developed rapidly, and agricultural green development (AGD) is facing severe challenges. The research on the temporal and spatial features of the coupling and coordination of industrialization and agricultural green development is a key issue to promote the sustainable development of agriculture. This paper takes China’s industrialization and AGD level as the research object, and uses panel data from 31 provinces in China from 1990 to 2019 to construct an evaluation index system for industrialization and AGD. This paper uses the coupling coordination degree model and spatial autocorrelation analysis method to calculate, test and analyze the temporal and spatial features of the coupling coordination level of industrialization and AGD. The results show that: this paper compares the industrialization and AGD levels during the study period and finds that China’s industrialization development level is on the rise as a whole, and the AGD level shows a downward trend first and then rises later. Through the horizontal comparison of different regions, this paper finds that there is a large regional imbalance in the level of industrialization and AGD. The coupling and coordination level of industrialization and AGD has always been primary. From the time point of view, coupling coordination degree shows a trend of first decline and then rise. From a spatial point of view, coupling coordination degree varies greatly among provinces, with the eastern, central and western regions decreasing successively. The level of coupling coordination has obvious positive autocorrelation in spatial distribution, and presents significant spatial agglomeration characteristics in space. The research results can provide a theoretical basis for regionally differentiated governance of the coordinated development of industrialization and AGD, and promote coordinated development.

Coupling Coordination of the Regional Economy, Tourism Industry, and the Ecological Environment: Evidence from Western China

“…Tourism contributes to urban economic development and increases urbanization levels, whereas urban development creates the infrastructure and public space necessary for tourism [26]. A healthy EE is necessary for the tourism industry and urbanization to grow sustainably [27]. Thus, research into the interaction between tourism, urbanization, and the EE is practical for encouraging high-quality regional tourism development, adopting novel urbanization strategies, and enhancing the EE.…”

“…Chinese scholars analyze the tourism ecological security system from multiple dimensions (e.g., that of the social economy or the EE) and the relationship between various dimensions within the system. This can be divided into three systems of coupling and coordination research [1,27]: interactive response research [1,34], exploring the relationship of interactive coercion [5,23,35]; research on spatial displacement [36]; and research on the temporal and spatial differentiation of efficiency, etc. Through exploring the existing research, the research perspectives are found to include the characteristics of tourism, economics, ecology, and geography.…”

Analysis of Measurement, Regional Differences, Convergence and Dynamic Evolutionary Trends of the Green Production Level in Chinese Agriculture

“…And Shanghai and Jiangsu have achieved significant results in terms of resource sustainability. Unlike previous studies, this paper analyzes the possible reasons for the differences in the level of green agricultural production between provinces [41,42]. At the same time, the use of sustainability indicators can provide fresh insights for government policy development.…”

Spatial–Temporal Evolution of the Coupling Coordination Degree between Water and Land Resources Matching and Cultivated Land Use Eco-Efficiency: A Case Study of the Major Grain-Producing Areas in the Middle and Lower Reaches of the Yangtze River

“…The global Moran index is used to verify whether spatial correlation characteristics are observed between WLRM and CLUE from a global perspective. The calculation principle is as follows [38,39]: (15) where x i and x j are the coupling coordination degree of the WLRM and CLUE in prefecturelevel cities (states) i and j, respectively. n is the sample size.…”