Coupling Coordination and Spatiotemporal Evolution between Carbon Emissions, Industrial Structure, and Regional Innovation of Counties in Shandong Province

Wang, Jianshi; Wang, Chengxin; Yu, Shangkun; Li, Mengcheng; Cheng, Yu

doi:10.3390/su14127484

Cited by 13 publications

(6 citation statements)

References 56 publications

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“…In low-innovation technology fields, emissions tended to be higher, but with more advancement and patents, emissions eventually started to decline. Wang et al [45] used data from 97 counties in China from 2000-2017 to test the effects of industrial structure and innovations on CO 2 emissions. An analysis showed that there were regional differences in these variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Innovations and the CO2 Emissions Nexus in the MENA Region: A Spatial Analysis

et al. 2023

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Patents support technological innovations in any economy and would also support a clean environment. We investigate the effects of economic growth, patents, industrialization, and urbanization on CO2 emissions in 17 Middle East and North Africa (MENA) economies by applying spatial econometrics. We substantiate the Environment Kuznets Curve (EKC) in the domestic economies and the whole MENA region as per direct and total estimates. Moreover, urbanization increases CO2 emissions in local economies and reduces neighboring nations’ emissions. The total effect of urbanization is found to be insignificant. Industrial value added increases CO2 emissions in domestic and neighboring countries, as well as in the whole MENA region. Patents increase CO2 emissions in domestic economies. However, patents reduce CO2 emissions in neighboring countries and the MENA region. Thus, patents have a pleasant effect on the environment in the whole MENA region. It is suggested that the MENA economies focus more on patents to reduce CO2 emissions. Moreover, urbanization and the industrial sector should be checked to protect the environment.

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Section: Literature Reviewmentioning

confidence: 99%

Innovations and the CO2 Emissions Nexus in the MENA Region: A Spatial Analysis

et al. 2023

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“…In terms of estimating carbon emissions from energy consumption, the “China Energy Statistical Yearbook” only counts energy consumption data at the provincial level, and it is difficult to obtain energy consumption data at the county level. Although the CEAD has published carbon emissions from energy consumption at the county level in China, the data are only available up to 2017, and the publication of the carbon emissions data is not timely [ 79 ]. To ensure the timeliness and uniformity of the research data, we estimated the carbon emissions at the county level from 2000 to 2020 based on the carbon emissions from energy consumption and night-time light data in Shandong Province.…”

Section: Discussionmentioning

confidence: 99%

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

Liu

et al. 2022

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Human activities and land transformation are important factors in the growth of carbon emissions. In recent years, construction land for urban use in China has expanded rapidly. At the same time, carbon emissions in China are among the highest in the world. However, little is known about the relationship between the two factors. This study seeks to estimate the carbon emissions and carbon sequestrations of various types of land based on the land cover data of 137 county-level administrative regions in Shandong Province, China, from 2000 to 2020.The study estimated the carbon emissions for energy consumption using energy consumption data and night-time light images, hence, net carbon emissions. The Tapio decoupling coefficient was used to analyze the decoupling between the net carbon emissions and construction land, and where the model for the decoupling effort was constructed to explore the driving factors of decoupling. The results showed that net carbon emissions in Shandong Province continued to increase, and the areas with high carbon emissions were concentrated primarily in specific districts of the province. The relationship between net carbon emissions and construction land evolved from an expansive negative decoupling type to a strong negative decoupling type. Spatially, most areas in the province featured an expansive negative decoupling, but the areas with a strong negative decoupling have gradually increased. The intensive rate of land use and efficiencies in technological innovation have restrained carbon emissions, and they have contributed to an ideal decoupling situation. Although the intensity of carbon emission and the size of the population have restrained carbon emissions, efforts towards decoupling have faded. The degree of land use has facilitated carbon emissions, and in recent years, efforts have been made to achieve an ideal decoupling. The method of estimation of net carbon emissions devised in this research can lend itself to studies on other regions, and the conclusions provide a reference for China, going forward, to balance urbanization and carbon emissions.

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“…Introducing a coupling coordination model of SEE [58,59]. Then measure the degree of interaction between SEE and each other.…”

Section: Coupling Coordination Modelmentioning

confidence: 99%

How to Coordinate the Relationship between Urban Space Exploitation, Economic Development, and Ecological Environment: Evidence from Henan Province, China

Xie,

Wu,

et al. 2024

Land

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With the rapid development of urbanization, China is facing problems, such as uncoordinated regional development, imbalanced land space development, and ecological environment pollution. This poses a huge threat to the sustainable development of China’s economy and society. Therefore, there is an urgent need to determine how to coordinate the relationship between the space exploitation, economic development, and ecological environment (SEE) of urban areas. In this study, taking the Henan Province as an example, long time-series data (2000–2020) were used, at a city scale. Then, we developed a logical framework to reveal the interrelationship and intrinsic mechanism between SEE. Next, we explored the spatiotemporal coupling characteristics of SEE using a linear weighting method and a coupling coordination analysis. We found that, from 2000 to 2020, the comprehensive level of SEE showed an obvious trend of change, and different cities have different coupling coordination degrees. However, the overall coupling coordination level is steadily developing and tending to improve. Furthermore, with the spatial autocorrelation method, we analyzed spatial correlation patterns and collaboration/trade-off relationships for SEE. Through the analysis, positive correlation types (HH, LL) cluster significantly and negative correlation types (HL, LH) have low clustering. Meanwhile, we found significant spatial differences in cooperation/trade-off relationships between different years. This research can serve as a reference and as methodological guidance for achieving coordination and sustainable development of the economy, space, and environment.

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Coupling Coordination and Spatiotemporal Evolution between Carbon Emissions, Industrial Structure, and Regional Innovation of Counties in Shandong Province

Cited by 13 publications

References 56 publications

Innovations and the CO2 Emissions Nexus in the MENA Region: A Spatial Analysis

Innovations and the CO2 Emissions Nexus in the MENA Region: A Spatial Analysis

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

How to Coordinate the Relationship between Urban Space Exploitation, Economic Development, and Ecological Environment: Evidence from Henan Province, China

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