Low-carbon consumption with government subsidy under asymmetric carbon emission information

Ma, Cheng; Yang, Hongyong; Wei-ping, Zhang; Huang, Shuai

doi:10.1016/j.jclepro.2021.128423

Cited by 46 publications

(27 citation statements)

References 40 publications

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“…(3) Finally, through the sharing of resources, the present situation and key link in the urban construction are analyzed by using the low-carbon city consumption form to set up a lowcarbon consumption form system for the urban construction through the Internet platform. In this way, the living environment and quality of life can be improved for the people in the city, which can lay a healthy foundation for the development of the consumption system in urban construction [8][9][10][11][12][13].…”

Section: Discussionmentioning

confidence: 99%

Analysis on the Evolution of Ecological Transformation of Consumption Patterns to Help Realize the Evolution of Realize Low-Carbon City Construction Taking into Account Similarity Knowledge Recognition and Matching Algorithms

Xu-dong

Lan

Zhou³

2022

Mathematical Problems in Engineering

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For the purpose of addressing or eliminating the influence of low-carbon city construction effectively, it is crucial to carry out qualitative analysis on the evolutionary process in the construction of the low-carbon city based on the similarity knowledge identification matching algorithm. The ecological transformation of consumption patterns is implemented to facilitate the distribution of resources in the evolution analysis of the low-carbon city construction. The regularity and innovation during the process of building low-carbon cities is effectively summarized. On the premises of fully grasping the principles of low-carbon city development and related policy protection, a suitable low-carbon city development model is found. In accordance with the features of separate transmission, the model is recovered by using the characteristics in the total deviation observed, and the constrained nonoptimizable case is replaced with the computation case of constrained separate line segment with the relaxation factor. Finally, the results of the practical case analysis suggest that the image processing method supported by the ecological transformation of consumption patterns applied in this paper uses the relatively advanced computer network technology and 3D visualization model construction based on the establishment of a low-carbon city construction model according to the effective analysis of geological surveys and data, which can provide theoretical support for the subsequent construction of low-carbon cities.

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Section: Discussionmentioning

confidence: 99%

Analysis on the Evolution of Ecological Transformation of Consumption Patterns to Help Realize the Evolution of Realize Low-Carbon City Construction Taking into Account Similarity Knowledge Recognition and Matching Algorithms

Xu-dong

Lan

Zhou³

2022

Mathematical Problems in Engineering

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“…ere are also scholars who regard environmental load as unexpected output and use various extended DEA models to measure the efficiency of green and low-carbon development in China. ey all find that the efficiency of green and low-carbon development in China is "high in the east and low in the west" [19]. Other scholars have analyzed the trend of regional unbalanced development with the main indicators such as the degree of urban single-center and multi-center, the spatial concentration and dispersion of each index, the degree of industrial diversification, and the intensity of urban extroverted function [20].…”

Section: Regional Differencesmentioning

confidence: 99%

Competitiveness Evaluation and Obstacle Factor Analysis of Urban Green and Low-Carbon Development in Beijing-Tianjin-Hebei Cities

Yuan

Niu

et al. 2022

Mathematical Problems in Engineering

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Based on the PSR conceptual evaluation model of urban green and low-carbon development competitiveness, this paper evaluates the green and low-carbon development competitiveness of 13 cities in Beijing-Tianjin-Hebei from 2010 to 2019 and reveals their spatial effects and obstacle factors combined with the spatial autocorrelation and obstacle model. The results show the following: (1) In terms of the overall situation, the evaluation index of urban green and low-carbon development competitiveness in the Beijing-Tianjin-Hebei region shows a fluctuating upward trend as a whole from 2010 to 2019. Among them, the comprehensive evaluation indexes of Beijing, Zhangjiakou, and Tianjin are very competitive, while Hengshui, Handan, and Xingtai are relatively weak. (2) In terms of spatial data analysis, the global and local Moran`s I of Beijing-Tianjin-Hebei cities from 2010 to 2019 were positive and passed the 1% significant level test. This shows that the comprehensive evaluation index of urban green low-carbon development competitiveness of Beijing-Tianjin-Hebei cities has a positive spatial correlation, and the spatial agglomeration effect is significant. On the whole, it presents a spatial agglomeration pattern of “high in the north, partial jump, and low in the south”. (3) In the aspect of obstacle factor analysis, the proportion of the tertiary industry output value in GDP, energy consumption of ten thousand yuan of GDP, the urban green technology innovation level, and industrial soot emission of ten thousand yuan of GDP are the main obstacle factors restricting the improvement of urban green low-carbon development competitiveness in Beijing-Tianjin-Hebei cities.

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“…They showed that information sharing always reduces global emissions and reduces wasted emissions when consumers’ low-carbon preference is low or moderate. Ma et al ( 2021 ) studied information asymmetry of the carbon emission reduction level under government subsidy. They found that the manufacturer would be willing to share information achieving less reduction if subsidy policy stimulates demand effectively.…”

Section: Literature Reviewmentioning

confidence: 99%

Retailer-driven carbon emission reduction: contract design in the presence of information asymmetry and cap-and-trade

Zhao

2022

Environ Sci Pollut Res

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This study considers a supply chain consisting of a dominant brand-name retailer and a manufacturer in the presence of a cap-and-trade mechanism and consumers’ low-carbon preference. The retailer exerts advertising efforts, while lacks of the manufacturer’s private carbon emission reduction effort cost information. We construct the benchmark model with information symmetry and asymmetry respectively. We obtain all members’ equilibrium solutions and analytically examine the impact of the manufacturer’s carbon emission reduction effort cost, the retailer’s advertising effort cost, and consumers’ low-carbon preference on the supply chain members’ decisions. And then, we systematically compare two scenarios to obtain the condition in which the manufacturer would be willing to share the private information. With the aim of improving the manufacturer’s carbon emission reduction effort level and all members’ economic performance, we further propose a two-part tariff contract for information symmetry and asymmetry, respectively.

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Low-carbon consumption with government subsidy under asymmetric carbon emission information

Cited by 46 publications

References 40 publications

Analysis on the Evolution of Ecological Transformation of Consumption Patterns to Help Realize the Evolution of Realize Low-Carbon City Construction Taking into Account Similarity Knowledge Recognition and Matching Algorithms

Analysis on the Evolution of Ecological Transformation of Consumption Patterns to Help Realize the Evolution of Realize Low-Carbon City Construction Taking into Account Similarity Knowledge Recognition and Matching Algorithms

Competitiveness Evaluation and Obstacle Factor Analysis of Urban Green and Low-Carbon Development in Beijing-Tianjin-Hebei Cities

Retailer-driven carbon emission reduction: contract design in the presence of information asymmetry and cap-and-trade

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