Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City DOI Creative Commons

Lu Chen,

Huaizhou Wang, Li Xue

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(6), P. 888 - 888

Published: June 4, 2024

This study aims to provide a scientific basis for the development of county-level agricultural industries through comprehensive evaluation environmental and economic benefits products. Focusing on Hancheng City in Shaanxi Province, this paper calculates analyzes carbon emission intensity per unit output value major products, assessing their advantage indices. The research methods include data collection, processing, model construction, utilizing bi-factor matrix analysis explore balance between sustainability profitability different results indicate that pepper vegetables have highest advantages, demonstrating significant benefits, while soybeans show lower requiring improvements cultivation techniques management practices. Based findings, proposes policy recommendations including focusing high-comprehensive-advantage improving low-comprehensive-advantage promoting green technologies, establishing footprint monitoring system strengthening infrastructure construction. study’s conclusions theoretical support practical guidance strategies similar regions, contributing achievement sustainable reduction goals.

Language: Английский

Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms DOI Creative Commons
Guanghe Han, Jiahui Xu, Xin Zhang

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(9), P. 1454 - 1454

Published: Aug. 26, 2024

Promoting low-carbon agriculture is vital for climate action and food security. State farms serve as crucial agricultural production bases in China are essential reducing China’s carbon emissions boosting emission efficiency. This study calculates the of state across 29 Chinese provinces using IPCC method from 2010 to 2022. It also evaluates efficiency with Super-Slack-Based Measure (Super-SBM model) analyzes influencing factors Logarithmic Mean Divisia Index (LMDI) method. The findings suggest that three largest sources rice planting, chemical fertilizers, land tillage. Secondly, initially surge, stabilize fluctuations, ultimately decline, higher observed northern eastern China. Thirdly, rise driven primarily by technological progress. Lastly, economic development industry structure promote emissions, while labor scale reduce them. To improve efficiency, following measures can be taken: (1) Improve all links; (2) Optimize industrial coordinated agriculture; (3) Reduce specialization, professionalization, high-quality labor; (4) Accelerate green technology innovation guide transformation farms. enriches theoretical foundation develops a framework assessing farms, offering guidance future research policy sustainable agriculture.

Language: Английский

Citations

42
Review of Challenges and Key Enablers in Energy Systems towards Net Zero Target: Renewables, Storage, Buildings, & Grid Technologies. DOI Creative Commons

Malcolm Isaac Fernandez,

Yun Ii Go, M. L. Dennis Wong

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40691 - e40691

Published: Nov. 26, 2024

Language: Английский

Citations

8
Study on Carbon Emission Influencing Factors and Carbon Emission Reduction Potential in China's Food Production Industry DOI
Yuanping Wang, Lang Hu, Lingchun Hou

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119702 - 119702

Published: July 31, 2024

Language: Английский

Citations

4
Analysis of Influencing Factors and Prediction of the Peak Value of Industrial Carbon Emission in the Sichuan-Chongqing Region DOI Open Access

Hanyue Fang,

Hongbing Li

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4532 - 4532

Published: May 27, 2024

The greenhouse effect has a negative impact on social and economic development. Analyzing the factors influencing industrial carbon emissions accurately predicting peak of to achieve neutrality is therefore vital. annual data from 2000 2022 were used study emission path reduction. In this study, gray correlation method stepwise regression explore effective that met significance test STIRPAT expansion model was constructed analyze characteristics in Sichuan-Chongqing region. Finally, changing trend regional predicted by scenario analysis four development scenarios are set up, which show (1) 2022, change total Sichuan Province Chongqing Municipality presents an inverted U-shaped trend, reaching phased 2013 2014, respectively, then declining rising again after 2018. (2) Industrial scale foreign trade dependence population Sichuan, all have positive effects. Energy structure per capita income Chongqing, showing effects, respectively. (3) Analysis shows time range region 2030–2035 its height ranges 81.98 million tons 87.64 tons. Among them, green most consistent as soon possible; case, will 2030, line with national target time, lowest level suggestions paper continuously optimizing energy structure, adjusting scale, accelerating scientific technological progress sustainable

Language: Английский

Citations

2
Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City DOI Creative Commons

Lu Chen,

Huaizhou Wang, Li Xue

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(6), P. 888 - 888

Published: June 4, 2024

This study aims to provide a scientific basis for the development of county-level agricultural industries through comprehensive evaluation environmental and economic benefits products. Focusing on Hancheng City in Shaanxi Province, this paper calculates analyzes carbon emission intensity per unit output value major products, assessing their advantage indices. The research methods include data collection, processing, model construction, utilizing bi-factor matrix analysis explore balance between sustainability profitability different results indicate that pepper vegetables have highest advantages, demonstrating significant benefits, while soybeans show lower requiring improvements cultivation techniques management practices. Based findings, proposes policy recommendations including focusing high-comprehensive-advantage improving low-comprehensive-advantage promoting green technologies, establishing footprint monitoring system strengthening infrastructure construction. study’s conclusions theoretical support practical guidance strategies similar regions, contributing achievement sustainable reduction goals.

Language: Английский

Citations

2