长江流域资源与环境 >> 2021, Vol. 30 >> Issue (2): 448-458.doi: 10.11870/cjlyzyyhj202102019

• 农业发展 • 上一篇    下一篇

效益认知对农户绿色生产技术采纳行为的影响 ——基于不同生产环节的异质性分析

杨彩艳,齐振宏*,黄炜虹,陈雪婷   

  1. (华中农业大学经济管理学院/湖北农村发展研究中心/华中农业大学双水双绿研究院,湖北 武汉 430070)
  • 出版日期:2021-02-20 发布日期:2021-03-18

Impact of Benefit Cognition on Farmers′ Green Production Technology Adoption Behavior: Based on the Heterogeneity Analysis of Different Production Links

YANG Cai-yan, QI Zhen-hong, HUANG Wei-hong, CHEN Xue-ting   

  1. (School of Economics and Management/ Hubei Rural Development Research Center/Institute of
     “ShuangshuiShuanglü”, Huazhong Agricultural University, Wuhan 430070, China)
  • Online:2021-02-20 Published:2021-03-18

摘要: 基于数理推导建立了农户绿色生产技术效益认知与采纳行为之间的理论分析框架,并利用2017年8月在长江中游粮食主产区获取的946份实地调研数据,通过构建的Heckman样本选择模型和二元Probit模型分析了效益认知对绿色生产技术采纳行为的影响效应。研究结果表明:(1)农户对绿色生产技术的不同效益认知对其采纳行为和采纳程度存在不同影响效应。农户对绿色生产技术的采纳行为受社会效益认知和生态效益认知的显著正向影响,采纳程度受经济效益认知和社会效益认知的显著正向影响。(2)农户对不同生产环节绿色生产的技术采纳行为受到不同效益认知的影响。产前绿色生产技术采纳行为受经济效益认知和社会效益认知的显著正向影响;产中绿色生产技术的采纳行为受社会效益认知的显著正向影响;而产后环节的绿色生产技术采用则受到社会效益认知和生态效益认知的显著正向影响。基于此,研究认为政府农技推广部门在进行绿色生产技术宣传及培训时,应有针对性地选择培训对象和培训内容。

Abstract: Based on mathematical derivation, this paper establishes a theoretical analysis framework between farmers' green production technology benefit cognition and adoption behavior, and uses the 946 field research data obtained in the main grain producing area of the Yangtze River in August 2017 to build Heckman. The sample selection model and the binary Probit model analyze the effects of benefit perception on the adoption behavior of green production technologies. The research results show that (1) farmers' perceptions of different benefits of green production technology have different effects on their adoption behavior and adoption level. Farmers' adoption of green production technology is significantly positively affected by social benefit perception and ecological benefit perception. The degree of adoption is significantly positively affected by economic benefit perception and social benefit perception. (2) Farmers' influence on the green production technology of different production links is affected by different benefits. The adoption behavior of prenatal green production technology is significantly positively affected by the recognition of economic benefits and social benefits; the adoption behavior of green production technology in production is significantly positively affected by the recognition of social benefits; and the green production technology of postpartum links is adopted. It is significantly positively affected by social benefit perception and ecological benefit perception. Based on this, this paper believes that the government agricultural technology promotion department should select the training objects and training content when conducting green product technology publicity and training.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 顾铮鸣, 金晓斌, 沈春竹, 金志丰, 周寅康. 近15a江苏省水源涵养功能时空变化与影响因素探析[J]. 长江流域资源与环境, 2018, 27(11): 2453 -2462 .
[2] 潘 静, 沈建忠, 孙林丹, 熊 雷. 长江、赣江鲢幼鱼耳石核区元素指纹特征分析及其在群体识别中的应用研究[J]. 长江流域资源与环境, 2018, 27(12): 2740 -2746 .
[3] 杨达源, 黄贤金, 施利锋, 李升峰. 1973~2017年扬中市江岸冲淤遥感监测及古河道塌江分析[J]. 长江流域资源与环境, 2018, 27(12): 2796 -2804 .
[4] 王刚毅, 刘 杰. 基于改进水生态足迹的水资源环境与经济发展协调性评价——以中原城市群为例[J]. 长江流域资源与环境, 2019, 28(01): 80 -90 .
[5] 何莎莎, 朱文博, 崔耀平, 何春龙, 叶露培, 冯小燕, 朱连奇, . 基于InVEST模型的太行山淇河流域土壤侵蚀特征研究[J]. 长江流域资源与环境, 2019, 28(02): 426 -439 .
[6] 孔春芳 岳永财 徐凯. 2000-2015年江汉平原区域植被NPP时空特征及其对气候变化的响应[J]. 长江流域资源与环境, 0, (): 0 .
[7] 朱文东 周廷刚 李洪忠 许燕燕 张兰. 基于OMI数据的成渝城市群对流层NO2浓度遥感监测[J]. 长江流域资源与环境, 0, (): 0 .
[8] 陈国磊, 田玲玲, 罗静, 蒋亮, 吴益坤, . 长江经济带城市黑臭水体空间分布格局及影响因子[J]. 长江流域资源与环境, 2019, 28(05): 1003 -1014 .
[9] 魏建飞 程迪 丁志伟 李燕菲 张浩. 2019年7期安徽省镇域经济发展水平的时空分异及空间格局影响因素分析[J]. 长江流域资源与环境, 0, (): 0 .
[10] 孙惠惠, 章新平, 黎祖贤, 刘福基, 尚程鹏, 罗紫东, 周慧. 长江流域不同类型降水量的非均匀性分布特征[J]. 长江流域资源与环境, 2019, 28(06): 1422 -1433 .