Can internet use promote farmers’ diversity in green production technology adoption? Empirical evidence from rural China

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Gepubliceerd in:Humanities & Social Sciences Communications vol. 12, no. 1 (Dec 2025), p. 485
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Springer Nature B.V.
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022 |a 2662-9992 
022 |a 2055-1045 
024 7 |a 10.1057/s41599-025-04803-1  |2 doi 
035 |a 3186235224 
045 2 |b d20251201  |b d20251231 
245 1 |a Can internet use promote farmers’ diversity in green production technology adoption? Empirical evidence from rural China 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a Agricultural non-point source pollution significantly threatens global ecosystems and sustainable agricultural development. Adopting diversified green production technologies is recognized as a key approach to mitigating agricultural pollution and promoting sustainability. Internet use (IU) has become essential for promoting farmers’ diversity in green production technology adoption (DIGPTA) and mitigating agricultural non-point source pollution. Although many studies have analyzed the impact of IU on agricultural green production technologies, the relationship between IU and farmers’ DIGPTA remains poorly understood. In particular, the mechanism by which IU influences farmers’ DIGPTA remains unclear. Based on the micro-survey data from the China Land Economy Survey (CLES) conducted between 2020 and 2022, this study employs the IV-Tobit model to investigate how IU affects farmers’ DIGPTA and its underlying mechanisms. The findings indicate that: (1) IU is significantly correlated with farmers’ DIGPTA. Farmers’ DIGPTA increases by 53.10% as IU increases by one unit. (2) When grouped by generational differences, IU substantially influences the DIGPTA of new-generation farmers. (3) IU enhances farmers’ DIGPTA by influencing their decision-making preferences, environmental awareness, and diversification risk perception. The mediating effects of decision-making preferences, environmental awareness, and diversification risk perception on farmers’ DIGPTA are 11.90%, 6.79%, and 16.84%, respectively. These findings have important implications for addressing agricultural non-point source pollution and promoting sustainable agricultural development. 
651 4 |a China 
653 |a Sustainable agriculture 
653 |a Farmers 
653 |a Internet 
653 |a Agricultural production 
653 |a Technology adoption 
653 |a Hypotheses 
653 |a Pareto optimum 
653 |a Influence 
653 |a Pesticides 
653 |a Decision making 
653 |a Agricultural pollution 
653 |a Fertilizers 
653 |a Production 
653 |a Generational differences 
653 |a Pollution 
653 |a Adoption of innovations 
653 |a Preferences 
653 |a Agricultural research 
653 |a Diversification 
653 |a Sustainability 
653 |a Sustainable development 
653 |a Economic development 
653 |a Agricultural development 
653 |a Ecosystems 
653 |a Agricultural technology 
653 |a Polls & surveys 
653 |a Technology 
653 |a Risk perception 
653 |a Agriculture 
653 |a Environmental awareness 
773 0 |t Humanities & Social Sciences Communications  |g vol. 12, no. 1 (Dec 2025), p. 485 
786 0 |d ProQuest  |t Social Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3186235224/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3186235224/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3186235224/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch