College of Economics & Management, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
Hubei Rural Development Research Center, Wuhan, 430070, Hubei, China.
Environ Sci Pollut Res Int. 2019 Apr;26(12):12522-12536. doi: 10.1007/s11356-019-04609-0. Epub 2019 Mar 8.
Sustainable agricultural technologies are of great significance in fully utilizing agricultural resources and promoting agricultural production. However, the adoption rates of these technologies are often characterized as low in rural areas in China. To figure out the potential salient determinants of rice farmers' willingness to adopt sustainable agricultural technologies, this paper, by employing the multivariate probit model and ordered probit model, particularly and firstly explores the roles of observational learning and experience-based learning through communication from parents within the household on rice farmers' willingness to adopt these technologies. Results show that there are strong complementarities and substitutabilities between sustainable agricultural technologies that rice farmers are willing to adopt, and that observational learning and experience-based learning through communication within the household do have pronounced effects on rice farmers' willingness to adopt some sustainable agricultural technologies and on their intensive use intentions. Therefore, while formulating policies to improve the adoption rates and adoption intensity of these technologies, relevant government agencies should take the complementarities and substitutabilities between sustainable agricultural technologies as well as observational learning and experience-based learning through communication from parents into consideration.
可持续农业技术对于充分利用农业资源和促进农业生产具有重要意义。然而，在中国农村地区，这些技术的采用率通常较低。为了找出水稻种植户采用可持续农业技术的潜在显著决定因素，本文通过使用多元概率比模型和有序概率比模型，特别和首次探讨了家庭内父母之间的观察学习和基于经验的交流对水稻种植户采用这些技术的意愿的作用。结果表明，水稻种植户愿意采用的可持续农业技术之间存在很强的互补性和替代性，家庭内的观察学习和基于经验的交流对水稻种植户采用某些可持续农业技术的意愿和集约使用意图有显著影响。因此，在制定提高这些技术的采用率和采用强度的政策时，相关政府机构应考虑可持续农业技术之间的互补性和替代性，以及家庭内父母之间的观察学习和基于经验的交流。
