Residential Energy-Related CO2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi

Yang, Yong; Jia, Junsong; Chen, Chundi

doi:10.3390/su12052000

Cited by 20 publications

(8 citation statements)

References 49 publications

(78 reference statements)

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“…The energy price effect was mainly responsible for mitigating direct HCEs in Central China (Figures 7 and 8a), which was consistent with the previous studies of Yang et al and Wang et al [27,35]. However, it was also contrary to the results of a few studies, such as Zhao et al [63].…”

Section: Energy Price Effectsupporting

confidence: 89%

“…These methods can be classified into four major types [25,26]: emission coefficient method (ECM), consumer lifestyle approach (CLA), life-cycle assessment (LCA), and input-output analysis (IOA). ECM is widely adopted to measure the direct HCEs [27,28], while CLA [11,29,30], IOA [8,31,32], and LCA [33] are mostly used to calculate the indirect HCEs. In the existing literatures on energy consumption from the household sector of China, scholars have analyzed the HCEs in terms of their urban-rural or regional differences.…”

Section: Introductionmentioning

confidence: 99%

“…Using the LMDI model, Zha et al [45], Shi et al [40], and Zhou et al [38] decomposed Chinese HCEs into carbon emissions coefficient, energy structure, energy intensity, income, population and so on. Yin et al [46], Yang et al [27], and Wang et al [35] used a similar method to explore the influencing factors of HCEs in Beijing, Jiangxi, and Guangdong, respectively. Moreover, more and more scholars have used the STIRPAT model to analyze the impact factors of HCEs in recent years, such as Jin et al [30], Wang et al [47], Zhu et al [48], Miao et al [49], and Wang et al [50].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China

Rong

Jia

et al. 2021

Sustainability

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Currently, household carbon dioxide (CO2) emissions (HCEs) as one of the leading sources of greenhouse gas (GHG) have drawn notable scholarly concern. Thus, here, taking six provinces in the period of 2000-2017 of Central China as a case, we analyzed the characteristics and the driving factors of HCEs from direct energy consumption and three perspectives: Central China as a whole, urban-rural differences, and inter-provincial comparison. The drivers of direct HCEs were analyzed by the Logarithmic Mean Divisia Index (LMDI). The σ convergence was adopted for analyzing the trend of inter-provincial differences on the HCEs. The key findings are as follows. First, all the direct HCEs from three perspectives had an obvious growth trend. The total direct HCEs grew from 9596.20 × 104 tonnes in 2000 to 30,318.35 × 104 tonnes in 2017, with an increase of 2.16 times. Electricity and coal use were the primary sources. The urban and rural increases of direct HCEs were up 2.57 times and 1.77 times, respectively. The urban-rural gap of direct HCEs narrowed first and then widened. The direct HCEs in the six provinces varied significantly, but the gap was narrowing. Second, as a whole the per capita consumption expenditure and energy demand were the main drivers to the increment of HCEs, with cumulative contribution rates of 118.19% and 59.90%. The energy price effect was mainly responsible for the mitigation of HCEs. Third, the similar drivers’ trend can also be seen from the perspective of inter-provincial comparison. However, from the perspective of urban and rural difference, the population urban-rural structure effect played a reverse influence on both urban and rural areas. Thus, raising the energy prices appropriately, upgrading the residents’ consumption to a sustainable pattern, controlling the growth of population size reasonably, and optimizing the household energy structure might effectively mitigate the growth of HCEs in Central China.

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Section: Energy Price Effectsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China

Rong

Jia

et al. 2021

Sustainability

Self Cite

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“…Chovancová and Tej [19] used decoupling analysis in assessing the relationship between energy-related GHG emissions and economic growth of the energy sector in V4 countries. The differences in the residential energy-related CO 2 emissions between urban and rural regions were assessed by Yang et al [43] using the log-mean Divisia index and the Tapio decoupling model. Similarly, the combination of the two methods was used by Sadorsky [44] to study how energy-related CO 2 emissions and their driving factors after the financial crisis compared to the period before the financial crisis, comparing the results of 19 major countries (G19), which form the core of the G20.…”

Section: The Literature Backgroundmentioning

confidence: 99%

Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Litavcová

Chovancová

2021

Energies

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The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

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“…Based on this method, China has studied ESV from the scale of river basins (Liu et al, 2023), urban agglomerations (Gong et al, 2023), provinces and cities (Normyle et al, 2023), the country (Sharma et al, 2023), etc. At present, the use of an economic value assessment mainly follows the ESV assessment model established by Costanza et al According to the actual situation in China, Xie Gaodi et al developed a table of ecological service value per unit area based on this model, which has been widely used (Jia et al, 2019;Yang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Changes in land use and ecosystem service value in desert areas of China after reform and opening up

Ba,

Du,

Hasi

et al. 2023

Front. Earth Sci.

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Desert areas of China have important ecological functions, so analyzing changing characteristics of ecosystem service values in this region is important for sustainable development. Using land use change data for desert areas from 1978 to 2022, this paper combined the equivalent factor method and the actual situation of the study area to revise value coefficients of ecosystem services and study characteristics of land use and ecosystem service value changes after reform and opening up. The results showed that after reform and opening up, the area of plow, water, and other lands in the study area decreased, while grassland, forest, construction land, and sandy land increased. The conversion of a land use type mainly occurred as conversion of grassland and other lands to other land use types. The value of ecosystem services increased, increasing by 19.63 × 108 CNY. From the perspective of land use type in 2022, the ecosystem service value of grassland was the highest, reaching 12.19 × 108 CNY, an increase of 11.73 × 108 CNY compared with the early stage of reform and opening up. From the perspective of ecosystem service types in 2022, the value of maintaining soil ecological services was the highest, reaching 3.07 × 108 CNY, an increase of 2.97 × 108 CNY compared with the beginning of reform and opening up. From the perspective of the ecological sensitivity index, the sensitivity index results for the ecosystem service value in the study area were all <1, and the research results were credible. From the perspective of the land ecological coordination degree, the overall land ecological coordination degree in the study area was at a moderate coordination level, indicating that land use change did not lead to environmental deterioration, but there was a crisis. Therefore, increasing and maintaining ecological land is the key to improving ESV in the study area.

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Residential Energy-Related CO2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi

Cited by 20 publications

References 49 publications

Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China

Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China

Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Changes in land use and ecosystem service value in desert areas of China after reform and opening up

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