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| 绿色防控技术采纳及其对新疆棉农福利的影响 | |
| 引用本文： | 霍瑜,夏文浩,郎禹超,李凯旋,颜廷武.绿色防控技术采纳及其对新疆棉农福利的影响[J].资源科学,2023,45(1):130-143. |
| 作者姓名： | 霍瑜 夏文浩 郎禹超 李凯旋 颜廷武 |
| 作者单位： | 1.塔里木大学经济与管理学院，阿拉尔 843300 2.塔里木大学马克思主义学院（法学院），阿拉尔 843300 3.华中农业大学经济管理学院，武汉 430070 4.湖北农村发展研究中心，武汉 430070 |
| 基金项目： | 国家自然科学基金项目(71663045);兵团社会科学基金项目(22YB22);塔里木大学研究生科研创新项目(TDGRI202264) |
| 摘 要： | 【目的】病虫害绿色防控技术的发展、推广及应用是改善生态环境、提高棉花种植户（简称棉农）劳作效率、促进棉花提质增产与实现棉花产业可持续发展的重要技术手段。【方法】基于新疆684位棉农的调查数据，利用内生转换模型与分位数回归模型，探讨绿色防控技术采纳对新疆棉农的增收效应，及其在区域和收入水平方面的异质性。【结果】结果表明：①新疆绿色防控技术的采纳率普遍不高，近40%的棉农仍未采纳，南疆采纳率比北疆高出近5%；②获取途径感知、他人意愿感知、成本感知、技术培训感知与邻里效应均显著正向影响棉农绿色防控技术采纳行为，棉花种植规模显著负向影响棉农绿色防控技术采纳行为；③采纳组棉农年龄、兼业程度与文化水平可以显著正向影响其家庭收入，棉花种植规模、技术认知与邻里效应显著负向影响棉农家庭收入；④处理效应表明，未采纳绿色防控技术的棉农若采纳了该技术，其家庭收入将显著提高9.1%；若已采纳绿色防控技术的棉农放弃采纳该技术，其家庭收入将显著降低25.4%；且绿色防控技术的福利效应存在群组差异，南疆棉农采纳绿色防控技术所带来的增收效果明显高于北疆，高出15.49%；采纳绿色防控技术对高收入水平棉农家庭收入的增收效果更强，对中收入水平棉农家庭收入的增收效果最弱。【结论】根据研究结论本文提出，政府应分类施策，针对不同类型棉农制定绿色防控技术匹配方案，促进棉农持续使用绿色防控技术，加快构建绿色防控技术推广机制。 |
| 关 键 词： | 绿色防控技术 福利效应 棉花种植户 内生转换模型 分位数回归 新疆 |
| 收稿时间： | 2022-07-19 |
| 修稿时间： | 2022-12-06 |
The impact of green control technology adoption on cotton farmers’ welfare in Xinjiang |
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| HUO Yu,XIA Wenhao,LANG Yuchao,LI Kaixuan,YAN Tingwu.The impact of green control technology adoption on cotton farmers’ welfare in Xinjiang[J].Resources Science,2023,45(1):130-143. | |
| Authors: | HUO Yu XIA Wenhao LANG Yuchao LI Kaixuan YAN Tingwu |
| Institution: | 1. College of Economics & Management, Tarim University, Alaer 843300, China 2. College of Marxism (College of Law), Tarim University, Alaer 843300, China 3. College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China 4. Hubei Rural Development Research Center, Wuhan 430070, China |
| 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. |
| Keywords: | green pest control technology welfare effect cotton grower endogenous switching regression models quantile regression Xinjiang |
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