| Title | Spatio-Temporal Evolution and Influencing Factors of Grain Green Production Efficiency in China Under the Human Capital Perspective-A Study Based on Geographic Detector |
|---|---|
| ID_Doc | 33664 |
| Authors | Xue, LQ; Niu, HW; Cui, WL |
| Title | Spatio-Temporal Evolution and Influencing Factors of Grain Green Production Efficiency in China Under the Human Capital Perspective-A Study Based on Geographic Detector |
| Year | 2024 |
| Published | |
| Abstract | Improving grain green production efficiency (GGPE) can help promote stable food growth while taking into account ecological and environmental protection, which has profound significance for sustainability of the economy and society. Nevertheless, the current measurement of GGPE ignores the role of human capital. Therefore, this paper measures GGPE in 31 Chinese provinces from 2001 to 2020 in terms of human capital, considering carbon emissions as pollutants, and utilizing the slack-based measured directional distance function (SBM-DDF) and Global Malmquist-Luenberger (GML) index model. Based on the standard deviation ellipse (SDE) model and geographic detector, this research analyzes the space-time pattern changes of GGPE and the driving and interacting roles of influencing factors. The results of the study revealed that (1) Chinese GGPE shows a small upward trend in the whole in 2001-2020. However, the lack of technology innovation limits the GGPE's growth. (2) GGPE in China is spatially featured by the highest values in the center area, followed by the eastern area, and the lowest values in the western area. The spatial center of gravity moves towards the northeast as a whole throughout the research duration. (3) In the viewpoint of spatial stratified heterogeneity, the key influencing factors of GGPE are sunshine conditions, temperature changes, urbanization, industrial structure, and transportation. Sunshine conditions and industrial structure, natural disasters and industrial structure, and temperature changes and economic development have the most prominent driving effect on GGPE after the interaction. Finally, according to the results, this study suggests policy proposals to improve China's GGPE. |
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