Decoupling agricultural resource inputs from agricultural economic development in China: a spatial–temporal analysis (2006–2021) DOI
Xi Chen, Jiaxin Zhang, Minhua Peng

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Language: Английский

How does income inequality affect energy rebound effect? Empirical evidence from China DOI Creative Commons

Maliyamu Abudureheman,

Nadira Ablimit,

Yuanqi Zhou

et al.

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100592 - 100592

Published: April 1, 2025

Language: Английский

Citations

0

Electric vehicle adoption and the energy rebound effect in the transportation sector: evidence from China DOI
Xiaolei Zhao, Xuemei Li, Yumeng Mao

et al.

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Possibilities of Changes in Energy Intensity of Production Depending on the Scale of Farm Investments in a Polish Region DOI Creative Commons
Wawrzyniec Czubak, Jagoda Zmyślona

Energies, Journal Year: 2024, Volume and Issue: 17(18), P. 4713 - 4713

Published: Sept. 22, 2024

The purpose of this paper was to analyze the possibility changes in energy intensity production context farm investment scale. empirical section relies on unpublished FADN microdata. study answers question whether investments and fixed capital growth can contribute improvements environmental performance agricultural production. As it turns out, group farms with greatest amount saw an increase consumption costs, though at a much slower rate than value. result, there drop production, defined as ratio between costs These findings corroborate hypothesis advanced study, namely that upon reaching sufficiently large investments, become capable reducing their activity. Hence, higher levels productivity are attained when invest more energy-efficient assets. Conclusions cannot be universal, analysis involved portion selected farms. However, research indicates trend depending scale validity comprehensiveness approach. conclusions provide basis for recommendations policy which should include support comprehensive (in relation farm’s assets) go beyond simple renewal Therefore, its investment-oriented measures, take innovativeness (including efficiency) criterion into account.

Language: Английский

Citations

2

Does news propaganda really affect residents’ electricity rebound effect: New evidence of non-price information DOI
Kai Wei, Zuopeng Zhang, Boqiang Lin

et al.

Energy, Journal Year: 2024, Volume and Issue: 300, P. 131589 - 131589

Published: May 10, 2024

Language: Английский

Citations

1

Renewable Energy for Agriculture Sustainability Conservations DOI
Dharmbir Prasad, Rudra Pratap Singh,

Jatin Anand

et al.

Advances in computer and electrical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 60

Published: June 21, 2024

This study outlines sustainable agriculture practices in Simdega District, India, emphasizing the critical role of using renewable energy. With a focus on long-term environmental, social, and economic viability, employs multidisciplinary approach, integrating field surveys, policy analysis, literature review. In industry, including energy solutions may improve resource efficiency, lower greenhouse gas emissions, foster climate resilience. Additionally, effective post-harvest processing technology like solar dryers biomass-based systems be powered by reducing food loss enhancing quality marketability agricultural products. Increased production, water conservation soil health all achieved organic farming, precision agro-forestry.

Language: Английский

Citations

0

Latent Information in the Evolving Energy Structure DOI Open Access
Boqiang Lin, Yitong Zhu

Journal of Global Information Management, Journal Year: 2024, Volume and Issue: 32(1), P. 1 - 21

Published: Nov. 10, 2024

Recent studies indicate that Artificial Intelligence (AI) technology, characterized by its integration of information and communication technology attributes, exerts a multifaceted influence on the energy system. The authors employ Difference-in-Differences (DID) Triple-Difference (DDD) models to investigate effects AI. research initially demonstrates AI may exhibit dual attributes constraining structure. Specifically, rapid development tends increase proportion fossil fuel-based electricity generation while optimizing consumption renewable energy. Furthermore, degradation structure stems from surge in AI, which capacity is unable satisfy. Lastly, industrial agglomeration construction digital economy have positive impacts energy; technological innovation aids mitigating negative shocks This study provides new perspective role transition.

Language: Английский

Citations

0

Decoupling agricultural resource inputs from agricultural economic development in China: a spatial–temporal analysis (2006–2021) DOI
Xi Chen, Jiaxin Zhang, Minhua Peng

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

Language: Английский

Citations

0