International rural new energy industry innovation development and benefit-linkage practices
Abstract
The rural new energy industry is a crucial area for promoting green transformation and achieving sustainable development, significantly contributing to improvements in energy structure and environmental protection. While China’s rural new energy industry has made substantial progress due to policy support and technological advancements, it still faces numerous challenges in practical development. This paper aims to compare and analyze the experiences and practices of various countries and regions—including the United States, the European Union, Brazil, and China—to identify their primary benefit-linkage mechanisms, policy support systems, and overall performance. Based on this analysis, the paper will provide policy recommendations and improvement measures for the innovative development of China’s rural new energy industry. The research findings indicate that (1) different countries and regions employ various benefit-linkage mechanisms in the rural new energy sector, including cooperative models, public-private partnerships, and community participation models. Each mechanism has its unique advantages and disadvantages in facilitating project development and benefit linkage. (2) Although all countries have established comprehensive policy support systems, there are notable differences in the introduction and implementation of market mechanisms. The European Union and the United States possess relatively mature market mechanisms for carbon emission trading and green certificate trading, whereas the market mechanisms in China and Brazil are either new or not sufficiently developed. (3) The United States and the European Union demonstrate strong performance in technological advancement and market operations, yielding significant economic and environmental benefits. In contrast, China and Brazil have made progress in policy support and technology adoption but need to enhance their market mechanisms and international cooperation. (4) Social participation and community support yield important social benefits in new energy projects across various countries and regions, particularly the community participation model, which positively impacts community cohesion and project development.
References
1. Aldy JE, Halem ZM. The Evolving Role of Greenhouse Gas Emission Offsets in Combating Climate Change. Review of Environmental Economics and Policy. 2024; 18(2): 212–233. doi: 10.1086/730982
2. Gosens J, Lu X. Exploring the effects of contracts and agreements on renewable energy projects: A case study of rural China. Energy Policy.2020; 138: 111231.
3. Yin S, Fan Y, Gao X. Transitioning to clean energy in rural China: The impact of environmental regulation and value perception on farmers’ clean energy adoption. Journal of Renewable and Sustainable Energy. 2024; 16(5): 055904.
4. Li R, Zhang M, Yin S, et al. Developing a conceptual partner selection framework for matching public–private partnerships of rural energy internet project using an integrated fuzzy AHP approach for rural revitalization in China. Heliyon. 2024; 10(10): e31096. doi: 10.1016/j.heliyon.2024.e31096
5. Audebert P, Milne E, Schiettecatte L S, et al. Ecological zoning for climate policy and global change studies . Nature Sustainability. 2024; 7(10): 1294-1303. doi: 10.1038/s41893-024-01416-5
6. Yin S, Zhao Y. An agent-based evolutionary system model of the transformation from building material industry (BMI) to green intelligent BMI under supply chain management. Humanities and Social Sciences Communications. 2024; 11(1): 1–15. doi: 10.1057/s41599-024-02988-5
7. Yin S, Yu Y, Zhang N. The Effect of Digital Green Strategic Orientation On Digital Green Innovation Performance: From the Perspective of Digital Green Business Model Innovation. Sage Open. 2024; 14(2). doi: 10.1177/21582440241261130
8. Li R, Zhang M, Yin S, et al. Developing a conceptual partner selection framework for matching public—private partnerships of rural energy internet project using an integrated fuzzy AHP approach for rural revitalization in China. Heliyon. 2024; 10(10): e31096. doi: 10.1016/j.heliyon.2024.e31096
9. Herraiz-Cañete Á, Ribó-Pérez D, Bastida-Molina P, et al. Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches. Energy for Sustainable Development. 2022; 66: 101–116. doi: 10.1016/j.esd.2021.11.007
10. Ren YS, Jiang Y, Narayan S, et al. Marketisation and rural energy poverty: Evidence from provincial panel data in China. Energy Economics. 2022; 111: 106073. doi: 10.1016/j.eneco.2022.106073
11. Yu Y, Yin S. Incentive Mechanism for the Development of Rural New Energy Industry: New Energy Enterprise—Village Collective Linkages considering the Quantum Entanglement and Benefit Relationship. International Journal of Energy Research. 2023; 2023: 1–19. doi: 10.1155/2023/1675858
12. Zhang X, Xu K, He M, et al. A Review on the Rural Household Energy in China From 1990s—Transition, Regional Heterogeneity, Emissions, Energy-Saving, and Policy. Frontiers in Energy Research. 2022; 10. doi: 10.3389/fenrg.2022.907803
13. Yin S, Han S, Liu Y, et al. Impact of new media use on farmers’ willingness to use clean energy: the role of topography and agricultural income. Humanities and Social Sciences Communications. 2024; 11(1):1–16. doi: 10.1057/s41599-024-03877-7
14. Kamali Saraji M, Aliasgari E, Streimikiene D. Assessment of the challenges to renewable energy technologies adoption in rural areas: A Fermatean CRITIC-VIKOR approach. Technological Forecasting and Social Change. 2023; 189: 122399. doi: 10.1016/j.techfore.2023.122399
15. Li S, Zhang L, Liu X, et al. Collaborative operation optimization and benefit-sharing strategy of rural hybrid renewable energy systems based on a circular economy: A Nash bargaining model. Energy Conversion and Management. 2023; 283: 116918. doi: 10.1016/j.enconman.2023.116918
16. Wang M, Gao M, Cao H, et al. Policy impact of national comprehensive pilot initiative for new-type urbanization on carbon emissions from rural energy consumption in China. Environment, Development and Sustainability. 2024. doi: 10.1007/s10668-024-05206-z
17. Yin S, Wang M, Shi Y, et al. Assessing rural energy poverty and early warning based on long-run evolution for clean energy transition in China. Journal of Renewable and Sustainable Energy. 2024; 16(4). doi: 10.1063/5.0209376
18. Yin S, Zhao Y, Hussain A, et al. Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with pythagorean fuzzy information. Engineering Applications of Artificial Intelligence. 2024; 138: 109342. doi: 10.1016/j.engappai.2024.109342
19. Yang C, Li M, Zhou D. Energy assessment in rural regions of China with various scenarios: Historical-to-futuristic. Energy. 2024; 302: 131894. doi: 10.1016/j.energy.2024.131894
20. Cao A, Su M, Li H. Digitizing the green revolution: E-commerce as a catalyst for clean energy transition in rural China. Energy Economics. 2024; 137: 107778. doi: 10.1016/j.eneco.2024.107778
21. Yin S, Wang Y, Liu Y, et al. Exploring drivers of behavioral willingness to use clean energy to reduce environmental emissions in rural China: An extension of the UTAUT2 model. Journal of Renewable and Sustainable Energy. 2024; 16(4). doi: 10.1063/5.0211668
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