Decoupling Of Carbon Emissions Research Articles

Multisectoral water‑carbon pressures and economic benefits in China: An embodied perspective driven by consumption

Developing nations encounter considerable resource and environmental pressures, exhibiting diverse levels of decoupling relationships between resource-environment consumption and economic performance in different sectors. Nevertheless, there has been insufficient scrutiny from the perspective of embodied water‑carbon within the national economic system, particularly long-term analysis. This study proposes a three-stage analytical approach integrating measurement, decoupling, and decomposition modules to track such pressures, relationships and driving factors. Within this framework, a water‑carbon extended input-output model is constructed to quantify the embodied water‑carbon structure and inter-sectoral transfers between 2010 and 2020. The main findings are: a) Over the past decade, the composite water‑carbon pressure index of the energy sector has increased from 2.94 to 3.24, making it the only sector experiencing water‑carbon dual pressure in China. The service sector exhibits the lowest embodied water‑carbon pressure, boasting an average pressure index of 0.24. b) The OECD decoupling factor between embodied water consumption and economic growth in the entire national economic system increased from 0.37 to 0.40, achieving a transition from relative decoupling to absolute decoupling. However, a significant coupling relationship persists concerning CO2 emissions. c) Technological innovation primarily drives the decoupling of embodied water consumption in most sectors. Structural driving factors play an increasingly significant role in decoupling multisectoral carbon emissions and economic benefits. Strengthening technological innovation to improve multisectoral water use efficiency is still the most effective way to promote deep decoupling of water consumption within the industrial system. Achieving deep decoupling of carbon emissions necessitates both short-term technological innovation such as low-carbon process modification and long-term structural transformation such as green industrial restructuring. Differentiated findings can help identify potential sustainable development strategies for China's industrial system under resource and environmental constraints.

New insight into decoupling carbon emissions from economic growth: Do financialization, human capital, and energy security risk matter?

AbstractAgainst the backdrop of persistent climate change and deteriorating environmental pressure, this study integrates financialization, human capital, and energy security risks to provide new insight into decoupling carbon emissions from economic growth. The study employs annual panel data on the BRICS (Brazil, Russia, India, China, and South Africa) countries for the period of 1990–2019. The research employs the C‐S ARDL approach and the Tapio decoupling index to assess the decoupling status of the BRICS countries. In addition, this study applies the recently developed Juodis, Karavias, and Sarafidis Granger noncausality test for robustness. The findings offer compelling evidence of an inverted U‐shaped curve, aligning with the environmental Kuznets curve hypothesis. Consequently, the results confirm the decoupling of carbon emissions in the BRICS nations. Furthermore, the Tapio decoupling elasticity index confirms different carbon decoupling statuses among the BRICS. The results show expansive negative decoupling for Brazil, weak decoupling for India and China, and strong decoupling for Russia and South Africa. In terms of policy, achieving strong decoupling status in the BRICS requires that financial institutions' lending and investing strategies align with environmental objectives. In addition, human capital development policies such as increased spending on education should be vigorously pursued to empower people to lead sustainable development projects.

Drivers and decoupling analysis of carbon emissions in the non-ferrous metal industry-evidence from 28 provinces in China.

Emissions from the non-ferrous metal industry are a major source of carbon emissions in China. Understanding the decoupling of carbon emissions from the non-ferrous metal industry and its influencing factors is crucial for China to achieve its "double carbon" goal. Here, we applied the Tapio decoupling model to measure the decoupling status and developmental trends of carbon output and emissions of the non-ferrous metal industry in China. The panel interaction fixed effects model is used to empirically analyze the influencing factors of carbon emissions in China's non-ferrous metal industry. The results show that carbon emissions from China's non-ferrous metal industry have experienced three main states: strong decoupling, growth connection, and negative growth decoupling. The carbon emissions of the non-ferrous metal industry in some eastern and central provinces from 2000 to 2004 were in a negative decoupling state. Most provinces in the western and central regions were either in a strong or weak decoupling state based on the developmental trend of the decoupling state of carbon emissions. However, from 2015 to 2019, the decoupling status of carbon emissions in most provinces in western and central China had a significantly negative, weakly negative, or a negative growth decoupling status. Energy structure, energy intensity, cost, and non-ferrous metal production all have a positive driving effect on carbon emissions in the non-ferrous metal industry. Production had a mitigating effect on carbon emissions in the non-ferrous metal industry between 2010-2014 in the eastern region of China. From the results of our study, we propose policy recommendations to promote a strong decoupling of carbon emissions from the non-ferrous metal industry by improving energy structure, reducing energy intensity, and optimizing production capacity.

How can small and medium-sized cities differentiate their carbon peaks?

China's ‘dual carbon’ strategy is of strategic importance in leading global climate governance and promoting China's high-quality and green economic development. Cities are the centres of human activities. However, these are also places where high energy consumption and high carbon emissions are concentrated. This study selected data from 192 small and medium-sized cities in mainland China for the period 2000–2020. It classified these into seven categories using the K-means clustering method, calculated the decoupling status of different types of small and medium-sized cities based on the Tapio decoupling index, and analysed the relationship between carbon emissions and economic growth in various types of small and medium-sized cities based on the EKC curve theory. Finally, the backpropagation neural network (BPNN) model was used to classify and predict the time required to achieve carbon peaking for seven types of small and medium-sized cities. The following conclusions were drawn: (1) The development status of small and medium-sized cities shows a ‘geese echelon pattern’. New dynamic small and medium-sized urban areas may reach peak carbon emissions first, while resource-based small and medium-sized urban areas may be the last to do so. (2) The decoupling of carbon emissions from industrial development in small and medium-sized cities has not been completed. This manifests mainly through the states of declining decoupling, absolute decoupling, and strong negative decoupling. (3) A significant inverted U-shaped relationship exists between economic development and carbon emissions in these cities. (4) These cities may have the disadvantage of premature or excessive de-industrialisation. Additionally, these generally have an inefficient and expansionary economic development status. Therefore, this study contended for a more robust integration of a radical political economy and ecological economics to support the development of such cities in China. The paper proposes differentiated development paths and fundamental recommendations for small and medium-sized cities in the implementation of the ‘double carbon’ strategy. The intention is to provide theoretical guidance and implications for promoting green and low-carbon development in urban and rural areas and for the early achievement of the strategy in China.

Relationship Between Carbon Emissions and Economic Development of Industrial Parks Based on Decoupling Index

Industrial parks are the main carriers of industrial activities and are also key areas for carbon emissions. To deeply explore the decoupling state of carbon emissions and economic development of industrial parks and the driving forces, Zhengzhou Economic Development Zone were taken as example, based on the energy consumption data of industrial enterprises above a designated size from 2011 to 2020, the IPCC carbon emission accounting method, Tapio decoupling model, and logarithmic mean Divisia index decomposition method were used to analyze the characteristics of carbon emissions from energy consumption in the park, the relationship between carbon emissions and economic development, and the driving factors of decoupling. The results showed that:① in terms of carbon emission characteristics, the carbon emissions of energy consumption in Zhengzhou Economic Development Zone were mainly indirect carbon emissions, and the total carbon emissions showed a trend of rapid growth in the early stage, slowing down in the medium term, and negative growth in the later stage. The carbon emission intensity was decreasing annually. ② From the perspective of decoupling, the decoupling index between total carbon emissions and economic development in Zhengzhou Economic Development Zone from 2011 to 2016 was 1.021, which was in a state of growth linkage, and the decoupling index decreased to 0.089 from 2016 to 2020, turning into a weak decoupling state. ③ From the analysis of driving factors, from 2011 to 2016, four factors, namely carbon emission coefficient, energy efficiency, industrial structure, and economic level, all had a restraining effect on the decoupling of carbon emissions in Zhengzhou Economic Development Zone, and from 2016 to 2020, they all turned into promotion except for the economic level. This study showed that among the factors for the decoupling of carbon emissions in the Zhengzhou Economic Development Zone, the economic level played a major inhibitory role, and energy efficiency played a major role in promoting it. The results of this study can provide a reference for the industry-city integrated industrial park represented by Zhengzhou Economic Development Zone to formulate corresponding carbon emission reduction policies and achieve the carbon peaking and carbon neutrality goals.

Spatial heterogeneity and scenario simulation of carbon budget on provincial scale in China

BackgroundConducting an extensive study on the spatial heterogeneity of the overall carbon budget and its influencing factors and the decoupling status of carbon emissions from economic development, by undertaking simulation projections under different carbon emission scenarios is crucial for China to achieve its targets to peak carbon emissions by 2030 and to achieve carbon neutrality by 2060. There are large disparities in carbon emissions from energy consumption, the extent of land used for carbon absorption, and the status of decoupling of emissions from economic development, among various regions of China.ResultsBased on night light data and land use data, we investigated carbon budget through model estimation, decoupling analysis, and scenario simulation. The results show that the carbon deficit had a continuous upward trend from 2000 to 2018, and there was a significant positive spatial correlation. The overall status of decoupling first improved and then deteriorated. Altogether, energy consumption intensity, population density of built-up land, and built-up land area influenced the decoupling of carbon emissions from economic development. There are significant scenarios of carbon emissions from energy consumption for the study area during the forecast period, only in the low-carbon scenario will the study area reach the expected carbon emissions peak ahead of schedule in 2027; the peak carbon emissions will be 6479.27 million tons.ConclusionsChina’s provincial-scale carbon emissions show a positive correlation with economic development within the study period. It is necessary to optimize the economic structure, transforming the economic development mode, and formulating policies to control the expansion of built-up land. Efforts must be made to improve technology and promote industrial restructuring, to effectively reduce energy consumption intensity.

Demystifying the Economic Growth and CO2 Nexus in Fujian’s Key Industries Based on Decoupling and LMDI Model

Faced with peaking carbon emissions and carbon neutrality goals, low-carbon transformation has become an important part of China’s current economic construction. Fujian is one of the provinces with the fastest economic development in China and the core area of the 21st Century Maritime Silk Road. Therefore, its low-carbon economic development path is of great significance to China. This study focused on the key carbon emission industries in Fujian Province, using energy and carbon emission data from industrial sectors in Fujian Province from 2005 to 2019 to establish the Tapio decoupling model. Then, we decomposed the carbon emission drivers of each industry using the LMDI decomposition method, and finally analyzed the decoupling efforts made by each carbon emission driver on the basis of the Tapio decoupling model and LMDI decomposition model. The results showed that (1) carbon emissions in Fujian Province were mainly concentrated in the manufacturing industry and the electricity, heat, gas, water production and supply industries; (2) to date, some industries in Fujian Province have achieved the decoupling of carbon emissions, but the decoupling status was not stable; and (3) both energy structure and energy intensity have facilitated increasing decoupling efforts for carbon emissions. Industrial structure has contributed less to decoupling, and population size has not yet to make an impact on decoupling. Therefore, in the future, Fujian Province should increase expenditure on green technology research and development to improve energy efficiency and gradually use renewable energy to replace fossil energy, continue to adjust the industrial structure, and increase the government’s supervision on corporate carbon emissions.

CO2 emissions in China under electricity substitution: Influencing factors and decoupling effects

Over the past years, economic growth has been joined by massive environmental pollution, raising global concerns. It is necessary to break down the elements affecting carbon emissions and decouple CO2 from economic development for the largest emitter China. The LMDI (Logarithmic Mean Divisia Index) model is extended by introducing electricity substitution factors and is then combined with the Tapio decoupling model to investigate the carbon emission drivers and decoupling status. The findings display that (1) the cumulative net additions to China's carbon emissions over the study period is 6532.64 million tonnes. From the ridge regression results, carbon emissions are inverted U-shaped with terminal electrification and negatively correlated with electricity cleanliness. (2) The decoupling state of carbon emissions and economic growth is dominated by weak decoupling, and the decoupling index has been improving, with the optimal strong decoupling state appearing in 2014 ∼ 2015 and 2015–2016. The reduction of energy intensity and the increase in electricity cleanliness drive China towards a strong decoupling state. (3) Carbon intensity, terminal electrification, and electricity cleanliness promote the decoupling of carbon emissions from economic growth, while clean energy intensity, economic growth, and population inhibit decoupling. In particular, economic growth is the primary inhibitor of decoupling, and electricity cleanliness is the major factor facilitating decoupling. The findings show that the increase in electricity cleanliness and the decrease in energy intensity not only reduce carbon emissions but also make a significant contribution to the decoupling of carbon emissions and economic growth. This research provides a reference for other countries to exploit the decomposition and decoupling of carbon emissions under the background of energy substitution.

Analysis on Influencing Factors Decomposition and Decoupling Effect of Power Carbon Emissions in Yangtze River Economic Belt

The power industry is one of the main industries of energy consumption and carbon emissions in the Yangtze River Economic Belt, in order to accelerate the development of green and low-carbon power. This paper takes the power industry in the Yangtze River Economic Belt and the upper, middle and lower reaches from 2000 to 2020 as the research object. Based on the four absolute factors of economy, energy consumption, population and output, the generalized divisia index method (GDIM) is constructed. Combining the decoupling model with the GDIM method, a decoupling effort model is constructed based on the DPSIR framework to incorporate electricity output and economic scale into economic drivers. The main findings are as follows: The lower reaches provide the main contribution area of power carbon emissions, and the high value of carbon emissions tends to migrate eastward. Economy, output and energy consumption scale are the main factors leading to the increase in carbon emissions in the Yangtze River Economic Belt, upper, middle and lower reaches, while carbon intensity and output carbon intensity are the key factors curbing carbon emissions. Among them, economic scale is the largest positive driving factor of carbon emissions in the middle and lower reaches, and output carbon intensity is the largest negative driving factor in the upper reaches. The total decoupling effect index in the upper reaches of the Yangtze River Economic Belt increased the most and achieved decoupling of carbon emissions between 2014 and 2020. From 2016 to 2020, the total decoupling effect index of the upper, middle and lower reaches of the Yangtze River Economic Belt fluctuates within a certain range, and the total decoupling effect index of the power industry has entered a certain pressure period.

Characteristics and driving factors of carbon emissions in China

Many regions or countries seek to transition to a low-carbon economy, but there is ambiguity about how carbon emissions change with economic growth. This paper captures characteristics of carbon emissions in China using the Tapio Method. To detect driving factors of carbon emissions in economic growth, we adopt the Log-Mean Divisia Index decomposition method. The results of the paper are as follows: (1) Economic growth in most regions of China has outpaced the growth rate of carbon emissions, showing the characteristics of decoupling. (2) Metropolitan cities have a greater impact on the level of decoupling in neighboring provinces and municipalities. (3) The decoupling of carbon emissions from economic growth is caused by declining energy intensity in China. (4) The energy mix and industrial structure have little impact on the growth rate of carbon emissions. In addition, some policy implications are summarized according to the findings of this paper.

Spatiotemporal dynamics and decoupling mechanism of economic growth and carbon emissions in an urban agglomeration of China.

Carbon emissions and economic growth are two contradictions in urban development, and their decoupling is related to the sustainable development of cities. This paper took urban agglomeration in the middle reaches of the Yangtze River (UAMRYR), China, as the study area. The Kaya model, the Tapio decoupling model, and the Logarithmic Mean Divisia Index (LMDI) model were adopted to analyze the spatiotemporal differentiation of carbon emissions, the decoupling of economic activities, and driving factors. The results indicate that (1) carbon emissions increased by 66% in the study period, but the growth momentum was curbed after 2015. Low level and medium level areas continue to decrease, and relatively high level area gradually become dominant. (2) Spatially, carbon emissions are in a pattern of middle-hot and east-cold. Jiangxi is in the sub-cold and coldspot area, while the hotspot area is driven by the transformation from Wuhan's single-core to Wuhan and Changsha's dual-core. (3) Since 2010, most cities have been in a good decoupling state, and weak decoupling cities have risen from 35.5% in the initial periodto 87.1% in 2010-2011, but the decoupling situation of industrial cities with more high-energy-consuming industries still rebounded slightly. (4) Theeconomic level and energy intensity effect had the most significant impact on the economic decoupling of carbon emissions, whose absolute contribution rates were greater than 35%. Urbanization and economic level both play a positive role in promoting carbon emissions, and the energy intensity plays a negative role in retarding carbon emissions. The population effect was mainly manifested in carbon increase from 2006 to 2011, and 45.2% of the cities from 2011 to 2017 turned into carbon suppression. Finally, we suggest that decoupling carbon emissions from economic growth requires developing green urbanization and a decarbonized economy, optimizing the structure of energy consumption and guiding rational population flow.

Research on the impact of financial development in different regions on the decoupling of carbon emissions from economic growth

The decoupling of carbon emissions has also become the dependence of countries’ development. Finance plays an important role in decoupling economic development from carbon emissions. This paper explores the impact of financial development in different regions on the decoupling of carbon emissions from economic growth, using the Tapio decoupling elastic model and the method of fully modified least squares (FMOLS) to study the impact of financial development on carbon emissions in six regional panels from 1995 to 2020: and Foreign direct investment (FDI), urbanization, population, and infrastructure as control variables. The results turn out that financial development will promote the decoupling of carbon emissions from economic growth in the ECA region. For EAP, SSA, AC, SA, and MENA regions, financial development will promote the growth of carbon emissions, and due to the different economic development dynamics of different countries, the positive effects of financial development on carbon emissions are heterogeneous. The impact of FDI, urbanization, and infrastructure on carbon emissions varies from region to region. The population will promote the growth of carbon emissions, regardless of the region. In addition, the ECA region is the most countries that has achieved the strong decoupling and is the first to realize the transition from weak decoupling to strong decoupling. Therefore,the ECA, EAP and AC region should accelerate the construction of a green financial system to promote the decoupling of economic growth and carbon emissions. The SSA, SA and MENA region should speed up the transformation of economic development mode and move towards weak decoupling or even strong decoupling.

Does Forest Resource Protection Under the Carbon Neutrality Target Inhibit Economic Growth? Evidence of Poverty-Stricken County From China

Given the overlapping characteristics of poverty-stricken counties within key ecological function zones and ecologically fragile areas in China, this study takes the sample of 393 state-designated poverty-stricken counties from 2011 to 2018 and uses the differences-in-differences model to test the influence of forest resource protection on economic growth and its mechanism under the carbon neutrality target. The empirical research proves how to break the “green paradox” and “poverty curse” in the process of Chinese ecological civilization construction and targeted poverty alleviation and how policy tools integrate emission reductions with carbon-sequestration increase and achieve sustainable development. The results show that 1) the economic growth of poverty-stricken counties cannot be separated from industrialization, urbanization, and financial system; 2) China’s poverty-stricken counties have achieved an initial decoupling of carbon emissions from economic growth; 3) forest resource protection represented by forest coverage and stock changes the carbon emissions through emission reductions with carbon-sequestration increase and affect the economic growth of poverty-stricken counties; and 4) the reduction of total carbon emissions in poverty-stricken counties further enhances the role of forest resource protection in promoting county economic growth. Taking the 13th Five-Year Plan for eco-environment protection as the starting point, this research reveals different paths and impacts selected by Chinese local governments in poverty alleviation.

Decoupling between Economic Development and Carbon Emissions and Its Driving Factors: Evidence from China.

Analyzing the relationship between economic development and carbon emissions is conducive to better energy saving and emission reduction. This study is based on the panel data of China’s carbon emissions, from 2009 to 2019, and quantitative analysis of the relationship between carbon emissions and economic development through the Tapio decoupling model and the Logarithmic Mean Divisia Index (LMDI) decomposition model. The results show that: First, carbon emission and economic development are increasing year by year, and the development trend of economic growth rate and carbon emission growth rate presents the characteristics of consistency and stage. Second, China’s carbon emissions and economic development are basically in a weak decoupling state, and carbon emissions and economic development are positively correlated. Third, there are significant differences in decoupling indices among the four regions, mainly in that the central region is better than the eastern region, the eastern region is better than the northeast region, the northeast region is better than the western region, and the development of provinces in the region is unbalanced. Fourth, from the perspective of driving factors, the elasticity of population size and economic intensity can restrain the decoupling of carbon emissions, while the elasticity of energy intensity and carbon intensity have a positive effect. Finally, according to the results of empirical analysis, this paper focuses on promoting China’s emission reduction and energy sustainable development from the aspects of developing low-carbon and zero carbon technology, supporting new energy industries and promoting the construction of a carbon emission trading market.

The decoupling relationship between China’s economic growth and carbon emissions from the perspective of industrial structure

This study analyses the decoupling relationship between energy-related CO 2 emissions and economic growth in China from 2000-2017 from the perspective of industrial structure using the LMDI method and Tapio decoupling model. The decoupling driving force was decomposed into emission, energy intensity, industrial structure, economic activity, and population factors. Studies have shown that the restructuring of China’s industries has not led to a significant increase in CO 2 emissions. Specifically, from 2000 to 2017, China’s economic development and carbon emissions are generally in a weak decoupling state. Strong decoupling occurred from 2000 to 2001 and from 2013 to 2016. The industrial structure change has a substantial impact on the primary sector (agriculture), followed by the tertiary sector (services), while the impact on the secondary sector (industry) is negligible. The GDP contribution of the primary industry is small, but it is an indispensable guarantee for a country. With the development of agricultural mechanization and technology, human and animal power in this industry has been decreasing year by year, and large-scale planting has improved energy efficiency. The level of technology should be continuously strengthened to promote the decoupling of carbon emissions. The contribution of the secondary industry to GDP is around 40%, but the secondary industry accounts for more than 80% of CO 2 emissions, mainly caused by the use of fossil energy. In 2017, fossil energy still accounted for about 86.2% of China’s energy consumption, so fossil energy remains the most critical energy source for China’s economic development. Coal, in turn, accounts for the largest share of fossil energy consumption. Therefore, emphasis should be placed on increasing technological innovation and conversion from fossil to non-fossil energy sources. The Chinese government considers the service industry a new engine for sustainable social and economic development. The contribution of the tertiary sector to GDP has increased from 2000 to 2017, followed by resource and environmental problems. Although the current share of CO 2 emissions directly caused by the tertiary sector is not high, as the tertiary sector continues to grow, plans to reduce the decoupling of carbon emissions from the tertiary sector should be made in advance.

“双碳”目标下闽三角碳排放脱钩状态及驱动机制分析

PDF HTML阅读 XML下载 导出引用 引用提醒 “双碳”目标下闽三角碳排放脱钩状态及驱动机制分析 DOI: 10.5846/stxb202201270257 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划项目（2016YFC0502902） Decoupling status and driving mechanisms of carbon emissions in the Golden Triangle of Southern Fujian under "carbon peaking and neutrality" goals Author: Affiliation: Fund Project: the National Key R&D Program of China (2016YFC0502902) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:快速城市化背景下，建设低碳城市群是实现"双碳"目标的最佳方式。在碳排放核算的基础上，使用Tapio脱钩模型和LMDI方法对闽三角以及厦门、漳州和泉州的脱钩状态和碳排放的驱动机制进行了研究。主要结论如下：（1）2005-2017年闽三角碳排放和人均碳排放均持续增加，二者有相同的变化趋势。闽三角的工业中心泉州有最高的碳排放和人均碳排放。发展型城市漳州碳排放最低，但碳排放和人均碳排放增长率均最高。服务型城市厦门碳排放增长率最低。（2）闽三角的脱钩状态逐渐改善，平均脱钩系数为1.03，脱钩状态为扩张性连接。厦门、漳州和泉州的平均脱钩系数分别为0.45、2.70和1.10，3个城市分别以弱脱钩、扩张负脱钩和扩张性连接状态为主。（3）人均GDP和人口规模是闽三角碳排放的正向因素，能源结构和能源强度是负向因素。正向因素的贡献在下降，负向因素的贡献在升高。人均GDP和能源结构分别对漳州和厦门碳排放有最强的促进和抑制效应。能源强度对3个城市碳排放变化的效应不同。（4）人口扩张促进碳排放增加，使碳排放与经济发展无法脱钩。人口规模对闽三角碳减排无脱钩努力。能源结构优化和能源强度下降有助于碳排放与经济发展脱钩，是闽三角碳减排的强脱钩努力和弱脱钩努力。能源强度对泉州碳减排无脱钩努力。优化能源结构是闽三角实现碳减排和"双碳"目标的关键。已经脱钩的厦门宜尽早制定碳达峰行动计划，引领闽三角的碳达峰行动。漳州可通过升级产业结构实现减排。泉州必须提升能源效率才能降低碳排放。 Abstract:Developing low-carbon urban agglomeration is the best way to achieve "carbon peaking" and "carbon neutrality" goals under the background of rapid urbanization. Based on carbon emissions accounting, the Tapio decoupling model and the Logarithmic Mean Divisia Index (LMDI) method are utilized to analyze the decoupling status and driving mechanisms of carbon emissions of the Golden Triangle of Southern Fujian (GTSF), Xiamen, Zhangzhou and Quanzhou. The main findings are as follows:(1) Carbon emissions and carbon emissions per capita both kept increasing from 2005 and 2017, with the same trend. Quanzhou, an industrial center of the GTSF, has the highest carbon emissions and carbon emissions per capita. Zhangzhou, a developing city, has the least carbon emissions but the highest growth rate of carbon emissions and carbon emissions per capita. Xiamen, a service-oriented city, holds the lowest growth rate of carbon emissions. (2) Decoupling status of the GTSF has improved. The average decoupling index of the GTSF is 1.03, and the decoupling status is dominated by the expansive connection. The average decoupling indices of Xiamen, Zhangzhou and Quanzhou are 0.45, 2.70 and 1.10, respectively. The dominant decoupling status of the three cities is weak decoupling, expansive negative decoupling, and the expansive connection, respectively. (3) Gross domestic product (GDP) per capita and population size are positive factors of carbon emissions of the GTSF, while energy structure and energy intensity are negative factors. The contribution of the positive factors is decreasing, while the contribution of the negative factors is increasing. GDP per capita and energy structure have the strongest promoting effects and inhibiting effects on carbon emissions of Zhangzhou and Xiamen, respectively. The effects of energy intensity on carbon emissions of the three cities are different. (4) Population expansion leads to an increase in carbon emissions, which is not conducive to the decoupling of carbon emissions and economic development. Population size has no decoupling efforts on carbon emissions reduction of the GTSF. The optimization of energy structure and the decline of energy intensity contribute to the decoupling of carbon emissions and economic development. Energy structure and energy intensity are the strong decoupling efforts and the weak decoupling efforts of carbon emissions reduction of the GTSF, respectively. Energy intensity has no decoupling efforts on carbon emissions reduction of Quanzhou. For the GTSF, optimizing energy structure is the key to realize carbon emissions reduction and "carbon peaking and neutrality" goals. It is suggested that Xiamen, which has been decoupled, should formulate carbon emissions peaking action plans, and lead the peaking actions of the GTSF. Zhangzhou can achieve carbon emissions reduction by upgrading industrial structure. Carbon emissions reduction of Quanzhou depends on the improvement of energy efficiency. 参考文献 相似文献 引证文献

Influencing factors and decoupling analysis of carbon emissions in China's manufacturing industry.

The manufacturing industry directly reflects national productivity, and it is also an industry with high energy consumption and severe carbon emissions. This study decomposes the influential factors on carbon emissions in China's manufacturing industry from 1995 to 2018 into industry value added, energy consumption, fixed asset investment, carbon productivity, energy structure, energy intensity, investment carbon intensity, and investment efficiency by Generalized Divisia Index Model. The decoupling analysis of carbon emissions and industry value added is carried out to investigate the states of the manufacturing industry under the pressure of "low carbon" and "economy." Results show that first, fixed asset investment is the driving force of carbon emissions, followed by industry value added; investment carbon intensity, carbon productivity, investment efficiency, and energy intensity are the mitigating factors; simultaneously, the impacts of energy consumption and energy structure are fluctuating. Second, the decoupling of manufacturing has improved, especially in the light industry. Third, the decoupling of carbon emissions and economic development is mainly dominated by the decoupling of energy consumption and industry added value. Therefore, reducing the proportion of coal consumption and optimizing the energy structure are significant ways to promote the low-carbon development of the manufacturing industry.

Is decoupling embodied carbon emissions from economic output in Sino-US trade possible?

Trade boosts economic growth, but it increases carbon emissions embodied in trade. To achieve economic growth through trade without increasing carbon emissions, it is essential to determine the driving factors of economic growth and carbon emissions embodied in trade. This study uses the multi-regional input–output (MRIO), Tapio decoupling model, and structural decomposition analysis (SDA) to investigate the decoupling of carbon emissions embodied in the Sino-US trade and their driving factors. The results show that, first, the decoupling of carbon emissions embodied in China's exports to the US is relatively invariable and gradually improving. By contrast, the decoupling of carbon emissions embodied in the US exports to China is variable. Second, the effect of the intermediate product structure on carbon emissions embodied in the US export to China is higher than that of China's export to the US. Third, 5 industries in China that export to the US were in a strong decoupling state from 2013 to 2014, whereas knowledge-intensive manufacturing and service industries in the US that exports to China were in the best decoupling state. Fourth, the driving factors of carbon emissions embodied in trade between China's export to the US and the US export to China is similar, although the degrees of these drivers are different. This study does not only focus on the decoupling of carbon emissions embodied in the Sino-US trade but also provides a research framework for the decoupling of carbon emissions embodied in global trade, especially trade between developing and developed countries.

Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China

The coordinated development of the economy, resources, and environment is a key aspect of sustainable development. China’s rapid agricultural modernization has been accompanied by the continuous growth of rural economic aggregate and carbon emissions from the planting industry. However, the quantitative relationship between these two factors and its internal mechanism are not yet fully understood. In this paper, the Intergovernmental Panel on Climate Change (IPCC) method is used to calculate the carbon emissions of the planting industry in China from 1998–2019. Based on this, the Tapio decoupling analysis model was constructed to study the decoupling relationship between economic development and carbon emissions of the planting industry in China from 1998–2019 and the associated spatial and temporal evolution patterns. The effect of the complete decomposition model (without residuals), in terms of carbon emissions from the planting industry, on the process of economic development and its transmission mechanism are introduced. The results show that: (1) The carbon emissions of the planting industry in China increased with the economic development occurring from 1998–2005, where agricultural economic development was highly dependent on resource factors and the environment. The growth trend of carbon emissions of the planting industry slowed from 2006 to 2019, while economic development has gradually realized the decoupling of carbon emissions from the planting industry. (2) From 1998–2019, in Heilongjiang, Sichuan, and Hunan, the economic development was given priority, showing strong and negative decoupling with carbon emissions from farming. The economic development in most regions were given priority, showing strong decoupling with carbon emissions from farming. Up to 2019, decoupling was observed with a significant trend of spatial agglomeration. (3) Economic scale effects had a positive influence on the carbon emissions of the planting industry, while the technology effect and population effect had an inhibiting influence on the carbon emissions of the planting industry. The key policy implication of this paper is that improvement of the quality of economic development serves as the premise for the transformation of the economic development mode. It is necessary to reasonably regulate the economic growth rate and expansion scale, reduce resource consumption and pollutant emission technology, and to make full use of resources, in order to provide a basis for the formulation of reasonable emission reduction policies. An effective way to realize the sustainable development of the agricultural economy would be to improve the technical efficiency, control the population scale appropriately, and optimize the agricultural industrial structure.

A Study on Decoupling of Carbon Emissions from Beijing-Tianjin-Hebei Transport Industry

As the world’s largest carbon emitter, the Chinese government is actively taking responsibility for reducing emissions and formulating relevant policies to achieve a low-carbon economy. The transportation industry is the third largest greenhouse gas emission source after the power industry and the steel industry in China, so the transportation industry is an important sector of carbon emission reduction in China. The Beijing-Tianjin-Hebei region is one of the supporting platforms for China’s strong competitiveness in the international economic system, but its transportation system develop pment is not balanced, and there are also great differences in energy consumption and carbon emissions. Therefore, it is of great significance to study the correlation between carbon emission and economic growth in The Beijing-Tianjin-Hebei region. In this context, this paper takes the Beijing-Tianjin-Hebei transportation industry as the research center, explores the decoupling relationship between its industry growth and carbon emissions, and gives relevant conclusions.