Emissions reduction and pricing of supply chain under cap-and-trade and subsidy mechanisms
This paper explored how the government provides low-carbon subsidies for the manufacturers, retailers, and consumers in a secondary supply chain under cap-and-trade scheme. We calculated the best prices, emissions reductions, and the demands for common and low-carbon products when subsidizing each o...
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Published in | PloS one Vol. 17; no. 4; p. e0266413 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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01.04.2022
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Abstract | This paper explored how the government provides low-carbon subsidies for the manufacturers, retailers, and consumers in a secondary supply chain under cap-and-trade scheme. We calculated the best prices, emissions reductions, and the demands for common and low-carbon products when subsidizing each of the abovementioned market players. In particular, a comparative analysis of their equilibrium outcomes was made thereafter. The MATLAB simulation found that the optimal emissions reductions under the three subsidy modes were even and positively correlated to low-carbon subsidies, which, however, negatively correlated to the prices of both product types. Higher subsidies drove up demand for low-carbon products and dragged down that for common goods. But the prices of these products maintained the highest levels when consumers were subsidized; demand for common products was greater when subsidies went to retailers than to manufacturers or consumers, consequently generating the largest emissions and highest profits. When the subsidies were greater than [Formula: see text], all three subsidy modes saw a drop in total carbon emissions. That being so, the government should offer proper subsidies before seeing energy-saving progress. |
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AbstractList | This paper explored how the government provides low-carbon subsidies for the manufacturers, retailers, and consumers in a secondary supply chain under cap-and-trade scheme. We calculated the best prices, emissions reductions, and the demands for common and low-carbon products when subsidizing each of the abovementioned market players. In particular, a comparative analysis of their equilibrium outcomes was made thereafter. The MATLAB simulation found that the optimal emissions reductions under the three subsidy modes were even and positively correlated to low-carbon subsidies, which, however, negatively correlated to the prices of both product types. Higher subsidies drove up demand for low-carbon products and dragged down that for common goods. But the prices of these products maintained the highest levels when consumers were subsidized; demand for common products was greater when subsidies went to retailers than to manufacturers or consumers, consequently generating the largest emissions and highest profits. When the subsidies were greater than , all three subsidy modes saw a drop in total carbon emissions. That being so, the government should offer proper subsidies before seeing energy-saving progress. This paper explored how the government provides low-carbon subsidies for the manufacturers, retailers, and consumers in a secondary supply chain under cap-and-trade scheme. We calculated the best prices, emissions reductions, and the demands for common and low-carbon products when subsidizing each of the abovementioned market players. In particular, a comparative analysis of their equilibrium outcomes was made thereafter. The MATLAB simulation found that the optimal emissions reductions under the three subsidy modes were even and positively correlated to low-carbon subsidies, which, however, negatively correlated to the prices of both product types. Higher subsidies drove up demand for low-carbon products and dragged down that for common goods. But the prices of these products maintained the highest levels when consumers were subsidized; demand for common products was greater when subsidies went to retailers than to manufacturers or consumers, consequently generating the largest emissions and highest profits. When the subsidies were greater than 2 p c B J + 4 p c 2 K + 12 k ε + 4 p c 2 e 1 J − 18 e 1 ε J 48 p c ε , all three subsidy modes saw a drop in total carbon emissions. That being so, the government should offer proper subsidies before seeing energy-saving progress. This paper explored how the government provides low-carbon subsidies for the manufacturers, retailers, and consumers in a secondary supply chain under cap-and-trade scheme. We calculated the best prices, emissions reductions, and the demands for common and low-carbon products when subsidizing each of the abovementioned market players. In particular, a comparative analysis of their equilibrium outcomes was made thereafter. The MATLAB simulation found that the optimal emissions reductions under the three subsidy modes were even and positively correlated to low-carbon subsidies, which, however, negatively correlated to the prices of both product types. Higher subsidies drove up demand for low-carbon products and dragged down that for common goods. But the prices of these products maintained the highest levels when consumers were subsidized; demand for common products was greater when subsidies went to retailers than to manufacturers or consumers, consequently generating the largest emissions and highest profits. When the subsidies were greater than [Formula: see text], all three subsidy modes saw a drop in total carbon emissions. That being so, the government should offer proper subsidies before seeing energy-saving progress. This paper explored how the government provides low-carbon subsidies for the manufacturers, retailers, and consumers in a secondary supply chain under cap-and-trade scheme. We calculated the best prices, emissions reductions, and the demands for common and low-carbon products when subsidizing each of the abovementioned market players. In particular, a comparative analysis of their equilibrium outcomes was made thereafter. The MATLAB simulation found that the optimal emissions reductions under the three subsidy modes were even and positively correlated to low-carbon subsidies, which, however, negatively correlated to the prices of both product types. Higher subsidies drove up demand for low-carbon products and dragged down that for common goods. But the prices of these products maintained the highest levels when consumers were subsidized; demand for common products was greater when subsidies went to retailers than to manufacturers or consumers, consequently generating the largest emissions and highest profits. When the subsidies were greater than 2pcBJ+4pc2K+12k[epsilon]+4pc2e1J-18e1[epsilon]J48pc[epsilon], all three subsidy modes saw a drop in total carbon emissions. That being so, the government should offer proper subsidies before seeing energy-saving progress. |
Audience | Academic |
Author | Miao, Wenqing Kong, Demin Zhu, Guohua Shen, Bingliang |
AuthorAffiliation | 4 College of Humanities, Shanghai University of Finance and Economics shanghai, Shanghai, China 1 School of Business Administration, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China 2 School of Marxism, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China 3 Department of Basic Education, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China University of Oklahama Norman Campus: The University of Oklahoma, UNITED STATES |
AuthorAffiliation_xml | – name: 2 School of Marxism, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China – name: 1 School of Business Administration, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China – name: 4 College of Humanities, Shanghai University of Finance and Economics shanghai, Shanghai, China – name: University of Oklahama Norman Campus: The University of Oklahoma, UNITED STATES – name: 3 Department of Basic Education, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China |
Author_xml | – sequence: 1 givenname: Wenqing surname: Miao fullname: Miao, Wenqing organization: School of Business Administration, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China – sequence: 2 givenname: Guohua orcidid: 0000-0002-5381-576X surname: Zhu fullname: Zhu, Guohua organization: School of Marxism, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China – sequence: 3 givenname: Bingliang surname: Shen fullname: Shen, Bingliang organization: Department of Basic Education, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China – sequence: 4 givenname: Demin surname: Kong fullname: Kong, Demin organization: College of Humanities, Shanghai University of Finance and Economics shanghai, Shanghai, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35363807$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1093_ijlct_ctac086 crossref_primary_10_1155_2022_2359911 |
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SubjectTerms | Air quality management Biology and Life Sciences Carbon Carbon emissions Carbon offsets Commerce Comparative analysis Consumers Cooperation Costs and Cost Analysis Decision making Ecology and Environmental Sciences Economics Emissions Emissions credit trading Emissions trading Energy conservation Financing, Government Government Government subsidies Management Methods People and Places Physical Sciences Prices Profits Retail stores Social Sciences Subsidies Supply chains Trade regulation |
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Title | Emissions reduction and pricing of supply chain under cap-and-trade and subsidy mechanisms |
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