Joint carbon footprint assessment and data envelopment analysis for the reduction of greenhouse gas emissions in agriculture production

Rebolledo-Leiva, Ricardo; Meza, Lídia Ângulo; Iriarte, Alfredo; González-Araya, Marcela C.

doi:10.1016/j.scitotenv.2017.03.147

Cited by 104 publications

(46 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Specifically, the concept and method of meta-frontier analysis allows us to discuss empirical results on both national and regional levels. Furthermore, the output-oriented model is chosen as the calculations can reflect the concept of delivering greater value (i.e., economic output) with lesser environmental impacts (i.e., industrial pollution) [46,47]. The results of the yearly average mean of MEE, GEE, and TGR of China's IS and IS in different regions are reported in Table 2.…”

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity

Wang

Zhang³

et al. 2018

Energies

View full text Add to dashboard Cite

This paper investigates energy efficiency with the presence of undeniable outputs, efficiency gaps across regions, and determinants of inefficiency of the Chinese Iron and Steel (IS) industry by combining hybrid measure technology and the meta-frontier approach. Empirical results obtained from analyses based on panel data spanning 2010-2015 reveal the necessity of green transition of the IS industry. Simultaneously addressing power supply, environmental impacts, and value creation of energy is still one of the most formidable challenges facing the IS industry nowadays. Moreover, distinct spatial heterogeneity in technology exists extensively across the regions. Energy efficiency of the IS industry in the eastern region performed the best, whereas the central and western areas fell behind due to the intension of managerial failure and expansion of the technology gap. Based on the findings, general and regional-specific policy implications and suggestions are posited.

show abstract

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity

Wang

Zhang³

et al. 2018

Energies

View full text Add to dashboard Cite

show abstract

“…The carbon footprint of crop cultivation patterns and animal husbandry forms and the carbon balance in the agroecosystem are key topics, such as in the fields of food crops, animal husbandry, vegetables, and fruits during climate change [18][19][20]. Scholars have estimated the carbon footprint of some products to comprehensively assess agricultural carbon emissions [21][22][23][24][25][26], and this has provided a reliable data foundation for formulating effective carbon dioxide reduction strategies.…”

Section: Introductionmentioning

confidence: 99%

Dynamic analysis of agricultural carbon emissions efficiency in Chinese provinces along the Belt and Road

et al. 2020

View full text Add to dashboard Cite

To better understand the agricultural resources and environmental problems of the provinces along The Belt and Road in China, it is critical to investigate their agricultural carbon emission efficiency and evolutionary trends. Based on the panel data of 18 key provinces and cities between 2006 and 2015, this paper evaluated the agricultural carbon emission efficiency with the data envelopment analysis-Malmquist model and further explored their dynamic evolutionary trends. There were several main findings. First, the efficiency levels of agricultural carbon emissions showed significant regional differentiation among the areas, with that along the 21st-Century Maritime Silk Road being much higher than that along the Silk Road Economic Belt. Second, technical efficiency was the key factor that restricted the improvement of the comprehensive efficiency of agricultural carbon. Third, most provinces invested in too many redundant and unreasonably allocated resources, showing a trend of diminishing returns to scale. Last, According to dynamic evolution analysis, the total productivity still demonstrated a diminishing trend. This paper provides some suggestions for effectively improve the efficiency of agricultural carbon emissions in China, such as optimize the agricultural industrial structure, increasing the investment of carbon emission reduction technology, and implementing a carbon emission quota clearing system. This paper contributes to the improvement of the environment in China.

show abstract

“…The most commonly used methods are the three-step method [8] and the five-step method [9]. Recently, Rebolledo-leiva et al [10] proposed a four-step method which focuses on increasing output and decreasing CF through DEA model, and then determines the target of resources contributing to CF. However, in all these methods, the DEA model used only identifies an inefficient DMUs, which may not be feasible from an operational or management perspective.…”

Section: Introductionmentioning

confidence: 99%

A multiobjective DEA model to assess the eco-efficiency of major cereal crops production within the carbon and nitrogen footprint in China

Chen

et al. 2020

Preprint

View full text Add to dashboard Cite

[Background]Agricultural production systems are facing the challenges of increasing food production while reducing environmental cost, particularly in China. Understanding the eco-efficiency of the staple food crop production contributes to sustainable agriculture. In this study, the eco-efficiency of rice, wheat and maize production within the carbon (C) footprints (CF) and nitrogen (N) footprint (NF) at a province scale based on 555 farm survey data from China was measured in which a combination of life cycle assessment (LCA) and data envelopment analysis (DEA) was used. [Results] The results showed that the synthetic N fertilizer applications and CH4 emissions dominated the CF of crop production, while NH3 volatilization was the main contributors to the NF in the grain crop production process. Based on DEA-based sustainability performance assessment results, the eco-efficiency of major cereal crops production were all found to be inefficient (eco-efficiency <1). An increase in yields had only limited effects on improvement in eco-efficiency of rice, wheat and corn production because the yield increase potential rates were very small (0.1~3.4%), and there were no significant differences in increase potentials of yields between provinces. From a perspective of environmental impact reduction potential rates, GWP (22.7~25.1%) was more important for the environmental mitigation target than Nr (10.9~17.9%) in rice production, but the opposite scenario appears in wheat and corn production. [Conclusions] Improving crop management practices by reducing N fertilizer use and adopting water-saving irrigation technology could be strategic options to mitigate climate change and eutrophication and improve the eco-efficiency of the staple food crop production in Chinese agriculture.

show abstract

Joint carbon footprint assessment and data envelopment analysis for the reduction of greenhouse gas emissions in agriculture production

Cited by 104 publications

References 36 publications

Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity

Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity

Dynamic analysis of agricultural carbon emissions efficiency in Chinese provinces along the Belt and Road

A multiobjective DEA model to assess the eco-efficiency of major cereal crops production within the carbon and nitrogen footprint in China

Contact Info

Product

Resources

About