Dynamic and heterogeneity assessment of carbon efficiency in the manufacturing industry in China: Implications for formulating carbon policies

Peng, Hui; Lu, Yaobin; Gupta, Somesh; Wang, Qunwei

doi:10.1016/j.eiar.2022.106885

Cited by 27 publications

(4 citation statements)

References 71 publications

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“…Scholars have conducted extensive research on the green transition of China in recent years. Most of these researches confirmed that the green development performance of China was on the rise in the past few decades while a few studies found that the green development performance of China was not improved with economic development in the sample time [22][23][24][25][26][27]. However, all existing studies agree that China has a huge space for energy conservation and emission reduction.…”

Section: The Connotation and Measurement Of Green Developmentmentioning

confidence: 98%

The Impact of “Dual-Control” Regulations on the Green Total Factor Efficiency of Shaoxing’s Industrial Sector

et al. 2023

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Promoting the decoupling between economic growth and carbon emissions through government intervention is very crucial for China to achieve carbon neutrality. This paper evaluates the green development performance with the help of the green total factor efficiency index and explores the impact of “Dual-Control” regulations on the green development of the industrial sector in Shaoxing using the differences-in-differences model. The results show that there are great diversities in the green development of different industries and that the energy-intensive industries have relatively poorer performance. The “Dual-Control” regulations significantly narrow the differences and promote the green development of Shaoxing’s industry but result in profit erosion for industrial enterprises owing to direct energy-saving expenditure and other indirect policy execution costs. The results of the dynamic analysis reveal that the negative economic impact has hysteresis and persistence. Different from previous studies, this paper considers the cross effects of different policies and examines the comprehensive effect of the policy package under the “Dual-Control” regulations. The conclusion provides a supplement to revealing the relationship between government regulation and energy conservation and emission reduction.

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Section: The Connotation and Measurement Of Green Developmentmentioning

confidence: 98%

The Impact of “Dual-Control” Regulations on the Green Total Factor Efficiency of Shaoxing’s Industrial Sector

et al. 2023

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“…Additional relevant studies and platforms were recommended for a plethora of research resource outputs in terms of technologies in the niche. (b) Heterogeneity of Existing Solutions: The authors of [143] identified that the diversity of existing IoT-based visualisation platforms for tracking household CFs varies significantly in design, functionality, and data sources; thus, heterogeneity makes it challenging to draw direct comparisons and generalise findings across all platforms. (c) Data Accuracy and Reliability: Data accuracy and reliability are critical in IoT-based visualisation platforms.…”

Section: Limitations Of the Reviewmentioning

confidence: 99%

A Review of Internet of Things-Based Visualisation Platforms for Tracking Household Carbon Footprints

Olatomiwa,

Ambafi,

Dauda

et al. 2023

Sustainability

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Carbon dioxide (CO2) and other greenhouse gases are the main causes of global climate change. This phenomenon impacts natural and human systems around the world through the rising global average surface temperature, extreme weather, changes in precipitation patterns, rising sea levels, and ocean acidification. However, this concept is alien to most people in developing countries. They are also unaware of the connection between energy efficiency and climate change. This dearth of knowledge makes them opt for highly inefficient appliances. Internet of Things (IoT)-based visualisation platforms for tracking household carbon footprints (CFs) have been seen as a good concept for combating this global phenomenon; however, there are potential challenges and ethical restrictions that must be addressed when implementing platforms for tracking household CFs. It is also vital to consider the user’s viewpoint and current technological state to ensure successful implementation and adoption. As the literature in this area is rapidly developing, it is crucial to revisit it occasionally. This paper presents a systematic review of IoT-based visualisation platforms for household CFs, including their definitions, characteristics, decision-making processes, policy development, related services, benefits, challenges, and barriers to implementation. Finally, it offers suggestions for future research.

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“…According to China Energy Statistical Yearbook 2021, the manufacturing industry accounts for 57.9% of China's total energy consumption and produces more than 50% of total CO 2 emissions. In 2019, the Chinese manufacturing industry contributed 12.24% of the world's carbon dioxide releases and 13.46% of energy consumption [30]. As the central pillar of the Chinese economy, the technological upgrading of the manufacturing sector is a vital strategic task for economic development [31].…”

Section: Introductionmentioning

confidence: 99%

Green Finance Policy and ESG Performance: Evidence from Chinese Manufacturing Firms

2023

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While the literature has examined the key role of green finance policy on firms’ green innovation and environmental performance, little attention has been paid to firms’ environmental, social, and governance (ESG) performance, which is increasingly important to stakeholders. Exploiting heterogeneity in firms’ exposure to the green finance pilot zones policy in China in 2017 as a quasi-natural experiment, this paper employs the difference-in-differences model to explore the effect of green finance policy on firms’ ESG performance. Based on the data of listed manufacturing firms in China during 2013–2020, our results indicate that the green finance policy could promote firms’ ESG performance. Moreover, the overall positive effect is driven mainly by the environmental pillar. Utilizing subsample estimation and the triple differences method, we further find that the higher ESG performance is driven by firms with less financial constraints, firms in economically more developed pilot zones, and state-owned enterprises (SOEs). Mechanism analysis indicates that the pilot policy promotes firms’ ESG performance even if it worsens firms’ financial constraints. Our study contributes to the research on both the impacts of green finance policy and the relationship between financial constraints and ESG performance, as well as to the literature on ESG structure.

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Dynamic and heterogeneity assessment of carbon efficiency in the manufacturing industry in China: Implications for formulating carbon policies

Cited by 27 publications

References 71 publications

The Impact of “Dual-Control” Regulations on the Green Total Factor Efficiency of Shaoxing’s Industrial Sector

The Impact of “Dual-Control” Regulations on the Green Total Factor Efficiency of Shaoxing’s Industrial Sector

A Review of Internet of Things-Based Visualisation Platforms for Tracking Household Carbon Footprints

Green Finance Policy and ESG Performance: Evidence from Chinese Manufacturing Firms

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