Open Access
E3S Web Conf.
Volume 441, 2023
2023 International Conference on Clean Energy and Low Carbon Technologies (CELCT 2023)
Article Number 02010
Number of page(s) 4
Section Pollution Control and Low-Carbon Energy Saving Development
Published online 07 November 2023
  1. Hu, W. L., Zhang, J. X., Wang, H. L. (2020) Characteristics and Influencing Factors of Agricultural Carbon Emission in China. Statistics & Decision, 36: 56–62. DOI: 10.13546/j.cnki.tjyjc.2020.05.012. [Google Scholar]
  2. Zhao, P. P., Zhang, Q. Q., Zhong, Y. W., Liu, T. J. (2022) Impact of social network embeddedness on the adoption ofgreen control technologies by farmers: Mediating effects based on technology perception. Resources Science, 44: 1865–1878. DOI: 10.18402/resci.2022.09.10 [Google Scholar]
  3. Bandiera O., Rasul I. (2006) Social networks and technology adoption in northern Mozambique. The economic journal, 116: 869–902. DOI: 10.1111/j.1468-0297.2006.01115.x [CrossRef] [Google Scholar]
  4. Granovetter, M. S., (1973) The strength of weak ties. American journal of sociology, 78: 1360–1380. DOI: [CrossRef] [Google Scholar]
  5. Zhu, Y. J., Yang, Q., Wang, F. (2021) Mechanism of influence of social networks on banana farmers’adoption of resourceconservation technologies: A case study of the drip fertigation system. Resources Science, 43: 1099–1114. DOI: 10.18402/resci.2021.06.04 [Google Scholar]
  6. Yang, Z. H., (2018) Ageing, Social Network and theAdoption of Green Production Technology: Evidence from Farm Households in Six Provinces in theYangtze River Basin. China Rural Survey, 142: 44–58. [Google Scholar]
  7. Li, Y. B., Lu, Q., Guo, G. (2017) Effects of social network on water-saving irrigation technology adoption: homogeneity or heterogeneity?. Research of Agricultural Modernization, 38: 978–986. DOI: 10.13872/j.1000-0275.2017.0048 [Google Scholar]
  8. Li, X. B. (2017) The Study on the Differentiation of Technical Demandof Agricultural Operator. Journal of South China Agricultural University (Social Science Edition), 16: 87–94. DOI: 10.7671/j.issn.1672-0202.2017.03.009 [Google Scholar]
  9. Qiao, D., Lu, Q., Xu, T., Zhao, M. J. (2017) Informational channel, learning ability and farmers’water-saving irrigationtechnology preference: Based on the investigation of the Minqin Oasi. Journal of Arid Land Resources and Environment, 31: 20–24. DOI: 10.13448/j.cnki.jalre.2017.038. [Google Scholar]
  10. Zhang, F. Y., Yan, T. W., Zhang, J. B. (2022) Effect of Social Interaction on Farmers’ Adoption of Green Technologies: Evidence from 1004 Household Survey Data in Hubei Province. Journal of Ecology and Rural Environment, 38: 43–51. DOI: 10.19741/j.issn.1673-4831.2021.0145 [Google Scholar]
  11. Kuang, H. Y. (2014) Study on the relation of rural social network and agricultural technology diffusion: taking the technology diffusion of pig raising on the country G. as an example. Studies in Science of Scienc, 32: 1518–1524. DOI: 10.16192/j.cnki.1003-2053.2014.10.029. [Google Scholar]

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