RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2021, Vol. 30 >> Issue (1): 234-245.doi: 10.11870/cjlyzyyhj202101022

Previous Articles     Next Articles

Risk Aversion,Social Learning and Farmer’s Adoption of Modern Irrigation Technology: An Empirical Analysis by Heckman Sample Selection Model

TAN Yong-feng 1,2, LU Qian 1   

  1. (1. College of Economics and Management,Northwest Agriculture and Forestry University,Yangling 712100,China;
    2. Six Industrial Research Institute,Northwest Agriculture and Forestry University,Yangling 712100,China)
  • Online:2021-01-20 Published:2021-02-04

Abstract: The introduction of social learning into the study of the adoption of modern agricultural technology is not only the expansion of the theoretical research paradigm of the adoption and popularization of traditional technology, but also the key to understand the dynamic process of farmers ' technology adoption. Based on the microscopic data of 498 households in Zhangye, Gansu Province, this paper used the experimental economics method to measure the degree of risk aversion of farmers, and made an empirical analysis by using the Heckman sample selection model with modified selective deviation to explore the influence of risk aversion and social learning on the adoption and adoption degree of modern irrigation technology for farmers. Interactive items were introduced to test the mitigation effect of social learning on risk aversion. The results showed that: First, the proportion of peasant household adopting modern irrigation technology account for 66.06% of the total number of sample households, and the average adoption degree of the sample households is 47.26%. Secondly, risk aversion and social learning have a significant impact on the adoption and adoption degree of modern irrigation technology for farmers, and the higher the risk aversion of farmers, the less likely they are to adopt modern irrigation technology; social learning can significantly improve the adoption and adoption degree of modern irrigation technology for farmers. Thirdly, from the perspective of the influence of social learning in different dimensions, mutual learning has a significant positive impact on the adoption and adoption degree of modern irrigation techniques for farmers, and learning from others has an impact on the adoption and adoption degree of modern irrigation techniques for farmers, but it is not significant. Fourthly. social learning helps to mitigate the inhibitory effect of risk aversion on the adoption behavior of modern irrigation techniques for farmers.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LAN Xi, LIU Xiaoqiong, GUO Yan, CHEN Kunlun . Comprehensive Evaluation of Urban Water Environmental Carrying Capacity in Wuhan Under the Context of the Yangtze River Economic Belt Strategic[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(07): 1345 .
[2] HOU Wenjia, CHEN Changqing, QIAO Hui, SUN Xinsu, ZHOU Shudong. TemporalSpatial Characteristics of Rape Freezing Injury in the Lower Reaches of the Yangtze River During 1980-2009[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(07): 1375 .
[3] LU Xin, YIN Shuyan, WANG Shuixia, GAO Taotao. Temporal and Spatial Variation of Agricultural Climatic Resources in the #br# Northern and Southern Regions of the Qinling Mountains#br#[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1866 .
[4] MEI Meng-yuan, CHEN Zhen-jie, ZHANG Yun-qian, ZHANG Ya-nan, . Study on the Delineation Method of Urban Growth Boundary under the Coordination of Residential Activity Space and Ecological Constraint: A Case Study of Changsha,China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2472 -2480 .
[5] . Assessment of Ecological Suitability for Rural Residential Land Based on Minimum Cumulative Resistance Model: A Case Study in Dujiangyan City[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 0, (): 0 .
[6] CHEN Bo, LU Yu-qi, PAN Ying, SHU Di, . Study on the Spatial Characteristics of Enterprise Networks of Equipment Manufacturing Industry in the Yangtze River Economic Belt[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 261 -268 .
[7] LEI Qian, ZHANG Xin-ping, WANG Xue-jie, HE Xin-guang, SHANG Cheng-peng. Responses of Vegetation Index to Meteorological Drought in Dongting Lake Basin Based on MODIS-EVI and CI[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(04): 981 -993 .
[8] LV Si-si, SU Wei-ci, ZHAO Wei-quan, JIA Min. Life Community Health Evaluation of Mountains, Rivers, Forests, Farmland and Lakes——Taking Hongfeng Lake as an Example[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(08): 1987 -1997 .
[9] . Study on Rural Poverty Measurement and Spatial Differentiation in Karst Mountainous Areas——A Case Study of Panzhou City[J]. , 0, (): 0 .
[10] ZHU Tian-shun, LIU Mei, SHEN Heng-lun, JIANG Wang-xiang, WANG Li-hong, QU Xiao-dong, PAN Bao-zhu. Eutrophication Assessment and Limited Factors of Impounded Lakes in the East Route of South-to-North Water Transfer Project[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(12): 2992 -3002 .