Effects of government regulations on Manufacturer’s behaviors under carbon emission reduction

Feng, Wei; Ji, Guojun; Pardalos, Pãnos M.

doi:10.1007/s11356-017-0891-4

Cited by 21 publications

(12 citation statements)

References 15 publications

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“…In addition, due to administrative divisions, the promotion of officials, and local competition, the division and cooperation of the regional industrial chain are increasingly limited in the administrative region. However, the positive effects precipitated by manufacturing agglomeration and industrialization have not spread across the provinces in the Yangtze River Economic Belt [61]. In the process of industrial structure adjustment on the east coast, excess industries have transferred to central and western regions.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action

Ding

Cai

Xiao

et al. 2019

IJERPH

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It is greatly important to promote low-carbon green transformations in China, for implementing the emission reduction commitments and global climate governance. However, understanding the spatial spillover effects of carbon emissions will help the government achieve this goal. This paper selects the carbon-emission intensity panel data of 11 provinces in the Yangtze River Economic Belt from 2004 to 2016. Then, this paper uses the Global Moran’s I to explore the spatial distribution characteristics and spatial correlation of carbon emission intensity. Furthermore, this paper constructs a spatial econometric model to empirically test the driving path and spillover effects of relevant factors. The results show that there is a significant positive correlation with the provincial carbon intensity in the Yangtze River Economic Belt, but this trend is weakening. The provinces of Jiangsu, Zhejiang, and Shanghai are High–High agglomerations, while the provinces of Yunnan and Guizhou are Low–Low agglomerations. Economic development, technological innovation, and foreign direct investionFDI) have positive effects on the reduction of carbon emissions, while industrialization has a negative effect on it. There is also a significant positive spatial spillover effect of the industrialization level and technological innovation level. The spatial spillover effects of FDI and economic development on carbon emission intensity fail to pass a significance test. Therefore, it is necessary to promote cross-regional low-carbon development, accelerate the R&D of energy-saving and emission-reduction technologies, actively enhance the transformation and upgrade industrial structures, and optimize the opening up of the region and the patterns of industrial transfer.

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Section: Discussion Of Resultsmentioning

confidence: 99%

A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action

Ding

Cai

Xiao

et al. 2019

IJERPH

View full text Add to dashboard Cite

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“…Therefore, manufacturers and processing plant must adopt cleaner production technology while implementing BPS (Liu et al, 2015;Shi et al, 2010). Moreover, the government should implement emissions control measures, such as carbon cap and trade, to influence the operational strategies of manufacturers and processing plants through emission monetization to achieve a win-win situation of environmental and economic benefits (Feng at al., 2019;Jian et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Waste converting through by-product synergy: an insight from three-echelon supply chain

Wang

Zhang

et al. 2021

Environ Sci Pollut Res

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By-product synergy (BPS) is an innovative method to convert waste into valuable by-products effectively. Based on a three-echelon supply chain composed of an upstream manufacturer, a processing plant with limited processing capacity, and a downstream manufacturer, this study derives the production quantity and waste disposal decisions of the upstream and downstream manufacturers as well as the optimal transfer price decision of the processing plant. Moreover, we assess the environmental performance of BPS. Analytical results suggest that the upstream manufacturer's production quantity and waste disposal decisions and the processing plant's transfer price decision are threshold dependent on the processing plant's capacity, whereas the downstream manufacturer's production quantity decision is threshold dependent on the processing plant's capacity and price of raw materials. BPS is beneficial for all members of the supply chain to increase profit. The production promotion and cost-saving effects ensure that the supply chain members maximize their profit. However, BPS does not always have a positive effect on the environment; when the processing plant's capacity and price of raw materials are below the threshold, implementing BPS results in a win-win situation of economic and environmental benefits.

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“…Choi et al (2018) and Wang et al (2019) explored how the stochastic risk preference of retailers affects the values of quick response to the supply chain and its members. Feng et al (2019) formalized the game's theoretic model of manufacturers associated with governments in a low-carbon technology market and derived the mixed strategy Nash equilibrium. Ye et al (2019) introduced the environmental governance cost prediction and showed that different risk coefficients have a greater impact on the investment in environmental governance.…”

Section: Behavior Strategy Selection Of Stakeholdersmentioning

confidence: 99%

Tripartite Coordinated Regulation of New Energy Vehicles Based on Dynamic Bayesian Game

Liu

Song

Chang

et al. 2021

Front. Environ. Sci.

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Manufacturers are disseminating false or ambiguous information regarding new energy vehicles (NEVs), which has led to skepticism from consumers about the quality of NEVs. In this research, we simultaneously considered the relationship among manufacturers, consumers, and governments from the perspective of stakeholders, and then we analyzed the tripartite coordinated regulation. In view of the serious information asymmetry of NEVs, we innovatively developed the Bayesian dynamic game model. By solving refined Bayesian equilibrium strategies, this study explores the effects of key influencing factors on strategic choices. On the basis of the conclusion, relevant countermeasures and suggestions are put forward to engender effective regulation by governments.

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Effects of government regulations on Manufacturer’s behaviors under carbon emission reduction

Cited by 21 publications

References 15 publications

A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action

A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action

Waste converting through by-product synergy: an insight from three-echelon supply chain

Tripartite Coordinated Regulation of New Energy Vehicles Based on Dynamic Bayesian Game

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