4.7 Article

Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China

Journal

LAND USE POLICY
Volume 109, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.landusepol.2021.105627

Keywords

Time preferences; Production scale; Green agricultural technology; Rice farmers

Funding

  1. National Natural Science Foundation [71773052, 71773053]
  2. China Postdoctoral Science Foundation [2020T130393]
  3. Shaanxi Federation of Humanities and Social Sciences Circles Research Program Soft Science Research Program in Shaanxi Province [2021KRM156, 2021KRM086]
  4. Fundamental Research Funds for the Central Universities [GK202103117, GK202103118]

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This study examined the impact of time preferences on farmers' technology adoption behavior, with a specific focus on the example of straw incorporation in Chinese villages. Findings highlighted a significant reduction in technology adoption due to time preferences, especially for present-biased farmers. Additionally, the study revealed that larger-scale farmers are more likely to adopt green technology, with production scale moderating the inhibitory effect of time preferences on technology adoption.
Green agricultural technology has the potential to not only alleviate the degradation of soil fertility, but also to improve the agricultural productivity of smallholders. In this paper, taking straw incorporation as an example, experiments were conducted in Chinese villages to directly measure the time preferences of farmers, and an attempt was made to evaluate the contribution of time preferences to farmers' technology adoption behavior. Furthermore, this research aims to assess the moderating role of production scale between the farmer's time preferences and technology adoption. This study is a continuation of previous studies on factors influencing green agricultural technology adoption. The results show that time preferences significantly reduce technology adoption; in particular, farmers who are more present-biased have a lower proportion of technology adoption. This is because farmers with lower discount rates are more sensitive to future income. Further analysis indicates that compared with small-scale farmers, large-scale farmers are more likely to adopt green technology. It is posited that this occurs because large-scale farmers will gain more benefits by adopting green agricultural technology, and thus, they will be more sensitive to high profits in the future. Moreover, the increase of production scale can reduce the inhibitory effect of time preferences on farmers' technology adoption, which means that scale economies play a moderating role between the farmer's time preferences and their technology adoption. Overall, this research provides a micro foundation and policy recommendations for green agricultural technology promotion and sheds light upon how the government can formulate relevant policies to promote green agricultural development.

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