Dual-Wheel Drive of Government Subsidies and Technical Support: A Study on the Mechanism of Promoting Rural Residents’ Green Production
It is of great significance to explore the effect of government subsidies and technical support on rural residents’ green production for improving the level of agricultural green development in the context of the green and high-quality development. Based on the theory of rural residents’ behavior, t...
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Veröffentlicht in: | Sustainability 2024-07, Vol.16 (13), p.5574 |
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Sprache: | eng |
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Zusammenfassung: | It is of great significance to explore the effect of government subsidies and technical support on rural residents’ green production for improving the level of agricultural green development in the context of the green and high-quality development. Based on the theory of rural residents’ behavior, this paper empirically examined the impact of government subsidies and technical support on rural residents’ green production by using the ordered logit model and household survey data of CLES2022. Additionally, it applied the mediating effects model to explore the transmission mechanism. The results indicate that: (1) Government subsidies and technical support have a significant positive influence on rural residents’ green production. After controlling the characteristics of individuals, families, and cultivated land, the path coefficient is determined to be 0.032, which is significant at the 0.01 level; technical support significantly affects rural residents’ green production, and the path coefficient is 0.390, which is statistically significant at the 0.05 level. The above results are still valid after a robustness test. (2) In terms of the mechanism, government subsidies and technical support promote rural residents’ green production through service outsourcing and productive assets. On this basis, the paper proposed some policy suggestions, such as giving full play to the guiding role of government subsidies, increasing government technical support, establishing a service outsourcing platform, as well as strengthening supervision and evaluation. |
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ISSN: | 2071-1050 2071-1050 |
DOI: | 10.3390/su16135574 |