Ziyuan Kexue (Jan 2023)
The impact of green control technology adoption on cotton farmers’ welfare in Xinjiang
Abstract
[Objective] The development, promotion, and application of green pest control technology is an important technical means to improve the ecological environment, increase the efficiency of cotton growers, facilitate the improvement of the quality and yield of cotton, and achieve sustainable development of the cotton industry. [Methods] Based on the survey data from 684 cotton farmers in Xinjiang, an endogenous switching regression model and a quantile regression model were used to explore the income improvement effect of green control technology adoption on cotton farmers in Xinjiang and its heterogeneity across regions and income levels. [Results] The results show that: (1) The adoption rate of green control technology in Xinjiang is generally low, nearly 40% of cotton farmers still have not adopted it, and the adoption rate in southern Xinjiang is almost 5% higher than that in northern Xinjiang. (2) Perception of access, perception of other people’s willingness, perception of cost, perception of service satisfaction, and neighborhood effect all significantly and positively affect cotton farmers’ green control technology adoption, and cotton planting scale significantly and negatively affects cotton farmers’ green control technology adoption. (3) Older age, more engagement in part-time employment, and higher education level of cotton farmers in the adoption group can significantly increase their household income, and the scale of cotton cultivation, technology perception, and neighborhood effect significantly and negatively affect the household income of cotton farmers. (4) The treatment effect indicates that the household income of cotton farmers who did not adopt the green control technology would be significantly higher by 9.1% if they had adopted the technology; if cotton farmers who had adopted the green control technology gave up adopting the technology, their household income would be significantly lowered by 25.4%. The welfare effect of green control technology shows group differences the effect of income increase brought by the adoption of green control technology by cotton farmers in southern Xinjiang is significantly higher than that in northern Xinjiang, by 15.49%; the effect of income increase brought by the adoption of green control technology on the household income of cotton farmers with high income level is stronger, and the effect of income increase on the household income of cotton farmers with middle income level is the weakest. [Conclusion] According to the conclusion of the study, this article recommends that the government should formulate and apply differentiated green control technology matching programs for different types of cotton farmers, promote the sustainable use of green control technology, and accelerate the construction of green control technology promotion mechanism.
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