Carbon emission reduction alliance, green technology, and emission reduction performance: an empirical study based on the synergistic perspective of environment and economy

Xia, Aoxing; Cao, Junli; Xu, Yong-ge

doi:10.1007/s11356-023-25796-x

Cited by 9 publications

(5 citation statements)

References 44 publications

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“…The coal power industry has a significant share in China's carbon emissions, making rapid real-time assessment of carbon emissions in this sector particularly important. The calculation of carbon dioxide emissions from coal combustion is as equation ( 7) [30]:…”

Section: Quantitative Analysis Of Carbon Emissionsmentioning

confidence: 99%

Performance Study of High-Precision Coal Composition and Carbon Emission Rapid Quantitative Analysis LIBS System

Wang,

Liu,

Liu

et al. 2024

Preprint

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Rapid and high-precision quantitative analysis of coal composition and carbon emissions is an essential aspect of efficient energy utilization in factories. A rapid coal quality analysis system based on LIBS technology enables fast quantitative analysis of the elements, industrial parameters, and carbon emissions contained in coal. This article introduces the working principle of the CoalCam LIBS rapid coal quality analyzer, evaluates the measurement accuracy, robustness, equipment stability, and measurement precision technical parameters of the analysis equipment in industrial applications, and describes the method of using the equipment to assess coal quality carbon emissions. The final results indicate that the CoalCam rapid coal quality analyzer developed by our laboratory using LIBS technology has high accuracy and stability, with broad prospects for application in online coal quality monitoring, particularly in carbon emission assessment.

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Section: Quantitative Analysis Of Carbon Emissionsmentioning

confidence: 99%

Performance Study of High-Precision Coal Composition and Carbon Emission Rapid Quantitative Analysis LIBS System

Wang,

Liu,

Liu

et al. 2024

Preprint

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“…The moderating effect model is based on the baseline regression model by introducing the moderating variables and the cross-product term composed of the moderating variables and the core explanatory variables [86]. What should be paid attention to is the coefficient of this cross-product term β 3 , the coefficient of the core explanatory variables will become inaccurate at this point.…”

Section: Moderating Effectmentioning

confidence: 99%

Why Have China’s Poverty Eradication Policy Resulted in the Decline of Arable Land in Poverty-Stricken Areas?

Ran,

Hua,

et al. 2023

Land

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Arable land resources are the basic livelihood security for people in poverty-stricken areas, and poor people are prone to uncontrolled expansion of arable land and exogenous ecological damage to secure their livelihoods. To avoid this vicious cycle, China’s poverty eradication policy requires greater management and restoration of arable land in poverty-stricken areas, but it is unknown what impacts it may bring. Therefore, this study examines the impact of policy implementation on arable land by the Difference-in-Differences (DID) model and uses the mediating and moderating models to test the policy’s mechanism on arable land. The results reveal that the policy significantly reduces the arable land, and the results remain robust, controlling for potential endogeneity variables and robustness tests. What’s more, the results of the mediating and moderating effect models indicate that the reduction of arable land is mainly due to the increase of unit yield, guiding the local people to abandon degraded land and to carry out ecological restoration, thus reducing the arable land area and achieving sustainable development. Finally, recommendations are proposed from the perspective of human-land coordination.

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“…In recent decades, the global greenhouse effect has intensified, becoming a major concern for the international community. Key initiatives to support the sustainability of the global economy are energy efficiency, emissions reduction, and the shift to a low-carbon economy [1][2][3]. Manufacturing enterprises and their supply chains are considered to be the most significant contributors to carbon emissions, and low-carbon supply chains have become the new focus of global manufacturing [4,5].…”

Section: Introductionmentioning

confidence: 99%

Blockchain Traceability Adoption in Low-Carbon Supply Chains: An Evolutionary Game Analysis

Zhang,

Xu,

Zheng

2024

Sustainability

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Blockchain technology has brought innovation to supply chain management, particularly in managing carbon emissions in the manufacturing sector. However, there is a research gap regarding the policy tools and the role of local governments in implementing blockchain technology to achieve carbon emissions traceability. Additionally, the strategic relationships and policy implications resulting from the implementation of blockchain technology are not examined systematically. An effective method for examining the strategies used in interactions between supply chain stakeholders and governments is evolutionary game theory, or EGT. This paper employs mathematical modelling and MATLAB 2016 software simulation to examine the decision-making process of manufacturing companies when considering implementing blockchain technology traceability. Specifically, the subjects in the model include product manufacturers (PM), product suppliers (PS), and local governments (LGs). The aim is to examine the decision-making behavior of carbon traceability participants in blockchain technology. This paper analyses the most effective blockchain-based traceability strategies for low-carbon supply chain members under a variety of scenarios by modifying the parameters. The findings suggest the following: (1) Manufacturers and suppliers need to manage the cost of blockchain traceability, collaborate to create an environmentally friendly product certification system, and improve brand image. (2) Local governments should set up efficient reward and punishment systems to incentivize supply chain stakeholders to engage in the blockchain traceability system. The aforementioned discoveries furnish policymakers with guidance to encourage the implementation of blockchain-based carbon footprint traceability technology, thereby establishing a transparent carbon footprint traceability framework across the entire supply chain.

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Carbon emission reduction alliance, green technology, and emission reduction performance: an empirical study based on the synergistic perspective of environment and economy

Cited by 9 publications

References 44 publications

Performance Study of High-Precision Coal Composition and Carbon Emission Rapid Quantitative Analysis LIBS System

Performance Study of High-Precision Coal Composition and Carbon Emission Rapid Quantitative Analysis LIBS System

Why Have China’s Poverty Eradication Policy Resulted in the Decline of Arable Land in Poverty-Stricken Areas?

Blockchain Traceability Adoption in Low-Carbon Supply Chains: An Evolutionary Game Analysis

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