Spatial-Temporal Evolution Characteristics of Industrial Carbon Emissions in China’s Most Developed Provinces from 1998–2013: The Case of Guangdong

Wang, Ran; Ci, Hui; Zhang, Ting; Tang, Yuxin; Wei, Jinyuan; Hui, Yang; Gao, Feng; Zhuang, Y

doi:10.3390/en16052249

Cited by 10 publications

(5 citation statements)

References 51 publications

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“…Of these 20 companies, three were automotive manufacturers, five were electronic information manufacturers, four were pharmaceutical manufacturers, four were apparel textile manufacturers, and four were oil, gas, electricity, and architecture manufacturers. The choice of this region for our study sample was informed by its standing as one of China’s largest manufacturing bases ( Wang et al, 2023 ). The manufacturing output value in this region contributes to approximately 95% of the whole province’s total industrial output value ( Lei et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

The cross-level influence of ethical leadership on employee’s OCBE: a two-wave study based on the social identity approach

Su,

Wang,

Zhu

2023

Front. Psychol.

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The importance of organizational citizenship behavior for the environment (OCBE) has received increasing attention in recent years because organizations face increasing pressure from environmental deterioration. The purpose of this study is to use social identity theory to construct a cross-level theoretical model of ethical leadership on OCBE, and to explore the cross-level influential mechanisms of ethical leadership on OCBE. Data collection was conducted via a two-wave distribution of leader-employee paired questionnaires in 20 manufacturing companies in China. In the first wave, data about OCBE and team environmental atmosphere were collected from leaders. Subsequently, 2 months later, we conducted the second wave of data collection when data about ethical leadership and leader identity were obtained from their employees. The results showed that at the individual level, ethical leadership has a significant positive impact on employees’ OCBE, and such relationship is partially mediated by employees’ leader identity and positively moderated by team environmental atmosphere across levels. At the team level, ethical leadership has a significant positive impact on employees’ OCBE, and such relationship is completely mediated by team environmental atmosphere. This study investigates the cross-level influential mechanism of ethical leadership on OCBE in China and provides theoretical guidance for enterprises to promote OCBE effectively.

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Section: Methodsmentioning

confidence: 99%

The cross-level influence of ethical leadership on employee’s OCBE: a two-wave study based on the social identity approach

Su,

Wang,

Zhu

2023

Front. Psychol.

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“…The standard deviation ellipse (SDE) was employed to analyze the spatial distribution of attribute values. In this study, the method of SDE analysis was utilized to examine the spatiotemporal patterns of carbon budget and variations in carbon budget centers [57].…”

Section: Standard Deviation Ellipse Analysismentioning

confidence: 99%

Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration

Tang,

Wang,

et al. 2024

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As a world-class urban agglomeration, the Yangtze River Delta urban agglomeration is significant for China’s carbon neutrality strategy when calculating the carbon budget and dividing carbon compensation zones. This paper focused on 129 county-level cities in the core area of the Yangtze River Delta urban agglomeration, calculating the carbon budget for 2000–2020 using night-time light data and analyzing the evolution of spatiotemporal patterns. On this basis, a carbon compensation zoning model was constructed using the K-means algorithm; 129 cities were divided into different carbon compensation zones after combining this model with the main functional zones. The results showed that (1) the carbon emissions increased, with overall stabilization after 2012. The distribution of high carbon emission areas evolved from a “core-periphery” pattern into a “Z-shaped” pattern. Ecological carbon sinks showed a continuous decline, with the southern sinks performing better than the northern ones. (2) The carbon budget of the study area showed a deficit, gradually widening and exhibiting an unbalanced spatial distribution characterized by a “high in the south and low in the north” pattern. (3) Eleven types of carbon compensation zones were designated after overlaying the main functional zones. Low-carbon development suggestions were proposed for each zone type.

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“…The manufacturing industry is an important source of carbon emissions [11,12], and scholars have conducted rich research on carbon emissions from manufacturing. Manufacturing structure is an important influencing factor of manufacturing carbon emissions [13,14].…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Carbon Peak Scenario Simulation of Manufacturing Carbon Emissions in Northeast China: Perspective of Structure Optimization

Zhang

Yang

et al. 2023

Energies

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The manufacturing industry is the pillar industry of China’s economy and a major carbon emitter, and its carbon emission reduction efforts directly determine whether the country’s carbon emission reduction target can be successfully met. In the context of the goals of the carbon peak and carbon neutrality policy, we examine the impact of manufacturing structure optimization on carbon emissions from 2003 to 2020 through a spatial econometric model, taking the old industrial centers in Northeast China as an example. We then apply a machine learning model to simulate manufacturing carbon emissions during the carbon peak stage and identify the optimal path for carbon emission reduction, which is important for promoting manufacturing carbon emission reduction in Northeast China. Since the goal of low-carbon economic development has gradually replaced the goal of maximizing economic efficiency in recent years, manufacturing structure optimization has come to focus on energy saving and emission reduction. Therefore, we define manufacturing structure optimization from the dual perspective of technology and energy consumption to broaden the existing research perspective. The results show the following: (1) The overall trend in manufacturing structure optimization in Northeast China is steadily improving, and the level of manufacturing structure optimization from the technology perspective is higher than that from the energy consumption perspective. (2) Manufacturing structure optimization and manufacturing carbon emissions in Northeast China both show a positive spatial correlation. Manufacturing structure optimization in Northeast China can effectively promote carbon emission reduction, and it also has a spatial spillover effect. (3) The carbon emission reduction effect of manufacturing structure optimization from the energy consumption perspective is better than that from the technology perspective, and the carbon emission reduction effect under the institutional innovation scenario is better than that under the baseline scenario and the technological innovation scenario. Focusing on manufacturing structure optimization from both technology and energy consumption perspectives, as well as continuously improving technological innovation and institutional innovation, can help to achieve manufacturing carbon emission reduction in Northeast China.

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Spatial-Temporal Evolution Characteristics of Industrial Carbon Emissions in China’s Most Developed Provinces from 1998–2013: The Case of Guangdong

Cited by 10 publications

References 51 publications

The cross-level influence of ethical leadership on employee’s OCBE: a two-wave study based on the social identity approach

The cross-level influence of ethical leadership on employee’s OCBE: a two-wave study based on the social identity approach

Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration

Carbon Peak Scenario Simulation of Manufacturing Carbon Emissions in Northeast China: Perspective of Structure Optimization

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