Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system
By observing the disturbance of indicators, models, and samples variability to the robustness of low carbon performance evaluation, the importance of random errors and heterogeneity of sample data is clarified. The carbon footprint joint total factor productivity conceptual framework is proposed in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22010135 |
| _version_ | 1811250829187874816 |
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| author | Ru Chen Ying Kong |
| author_facet | Ru Chen Ying Kong |
| author_sort | Ru Chen |
| collection | DOAJ |
| description | By observing the disturbance of indicators, models, and samples variability to the robustness of low carbon performance evaluation, the importance of random errors and heterogeneity of sample data is clarified. The carbon footprint joint total factor productivity conceptual framework is proposed in this study, then we apply it to a food production system in a region of China to reasonably judge the carbon footprint performance level of peasant households. With regard to the single-output production frontier, the internal method changes did not cause significant changes in the level of crop production technical efficiency in the deterministic and stochastic estimation strategies respectively. Although the results of partial low-carbon economic technical efficiency are consistent in the two estimation strategies, a significant difference is obvious for the low-carbon technical efficiency; The total low-carbon economic technical efficiency is significantly different between deterministic non-parametric slacks-based measure and parameterized random distance function estimation strategies under the framework of the multi-output production frontier; Ultimately, the total factor productivity including the carbon footprint of the food system in our research area close to the technical level of the industry, as well as the technical efficiency of the sample is at an efficient level. |
| first_indexed | 2024-04-12T16:10:35Z |
| format | Article |
| id | doaj.art-0fd3678ac4b14638b04d2bfd00f8062b |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-12T16:10:35Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-0fd3678ac4b14638b04d2bfd00f8062b2022-12-22T03:25:54ZengElsevierEcological Indicators1470-160X2022-11-01144109540Redefine carbon footprint performance with the total factor productivity: A case from a regional food production systemRu Chen0Ying Kong1Corresponding author.; Shenzhen International Graduate School, Tsinghua University, ChinaShenzhen International Graduate School, Tsinghua University, ChinaBy observing the disturbance of indicators, models, and samples variability to the robustness of low carbon performance evaluation, the importance of random errors and heterogeneity of sample data is clarified. The carbon footprint joint total factor productivity conceptual framework is proposed in this study, then we apply it to a food production system in a region of China to reasonably judge the carbon footprint performance level of peasant households. With regard to the single-output production frontier, the internal method changes did not cause significant changes in the level of crop production technical efficiency in the deterministic and stochastic estimation strategies respectively. Although the results of partial low-carbon economic technical efficiency are consistent in the two estimation strategies, a significant difference is obvious for the low-carbon technical efficiency; The total low-carbon economic technical efficiency is significantly different between deterministic non-parametric slacks-based measure and parameterized random distance function estimation strategies under the framework of the multi-output production frontier; Ultimately, the total factor productivity including the carbon footprint of the food system in our research area close to the technical level of the industry, as well as the technical efficiency of the sample is at an efficient level.http://www.sciencedirect.com/science/article/pii/S1470160X22010135Carbon footprint performanceTotal factor productivityTechnical efficiencySmallholdersFood production systemChina's Shaanxi province |
| spellingShingle | Ru Chen Ying Kong Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system Ecological Indicators Carbon footprint performance Total factor productivity Technical efficiency Smallholders Food production system China's Shaanxi province |
| title | Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system |
| title_full | Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system |
| title_fullStr | Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system |
| title_full_unstemmed | Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system |
| title_short | Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system |
| title_sort | redefine carbon footprint performance with the total factor productivity a case from a regional food production system |
| topic | Carbon footprint performance Total factor productivity Technical efficiency Smallholders Food production system China's Shaanxi province |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22010135 |
| work_keys_str_mv | AT ruchen redefinecarbonfootprintperformancewiththetotalfactorproductivityacasefromaregionalfoodproductionsystem AT yingkong redefinecarbonfootprintperformancewiththetotalfactorproductivityacasefromaregionalfoodproductionsystem |