The measurement of the spatial effects of Chinese regional carbon emissions caused by exports

Tang, Zhipeng; Liu, Weidong; Gong, Peijun

doi:10.1007/s11442-015-1237-0

Cited by 11 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The other is forward linkage (FL), which is employed to reflect the linkage between sector i and its downstream sectors. Equations (7) and (8) provide the calculation formula for BL and FL [17]. From the perspective of supply and demand relationships, BL i reflects the dependence degree of sector i on the supply of its upstream sectors, while FL i shows the dependence degree of sector i on the demand of its downstream sectors.…”

Section: Hierarchy Analysismentioning

confidence: 99%

“…However, this surge means that China's dairy consumption is increasingly dependent on large dairy exporting countries, such as New Zealand and Australia, which has triggered varying impacts on China's dairy market and China's industrial structure [4][5][6]. Therefore, it is indispensable to investigate the impacts of imported raw milk powder (IMP) consumption on different economic sectors in China [7,8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Analysis of China’s Imported Raw Milk Powder Consumption

Wang

Lei

2020

Sustainability

View full text Add to dashboard Cite

Raw milk powder is one of most important raw materials for dairy processing and manufacturing. In the past decade, the rapid growth of imported raw milk powder (IMP) consumption has brought about significant impacts on China's social economy. For more in-depth analysis of such impacts, this study develops a comprehensive IMP consumption model for China covering 2007-2015 based on the input-output analysis method from the perspective of material metabolism. In detail, material flows and consumption analysis are employed to reveal the direct and indirect IMP consumption and supply of various sectors. Using an innovative hierarchy analysis and network utility analysis, the internal structure of the IMP consumption system and consumption relationships between different sectors are identified. Due to the increasing intensive production activities between the manufacture and processing of the dairy products sector and others, its downstream sectors have grown rapidly and the consumption relationships with others are mostly mutualism. The surge in IMP has caused dramatic changes in consumption relationships, which has the greatest impact on the service sectors, followed by manufacturing sectors. The rapid increase in IMP consumption has put great pressure on the supply and consumption of intermediate products of many sectors.

show abstract

Section: Hierarchy Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of China’s Imported Raw Milk Powder Consumption

Wang

Lei

2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…The feedback effect then measures the increase in emissions occurring in the original region resulting from spillovers from other regions. Some studies have examined spillover and feedback effects of carbon emissions occur in multiple regions of China (Zhang and Zhao, 2005;Meng et al, 2013;Tang et al, 2015), but we are not aware of any comparative analysis of spillover and feedback effects of Chinese sectoral emissions. It is then fruitful to examine sectoral linkages in China with more detail.…”

Section: Introductionmentioning

confidence: 99%

The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012

2018

View full text Add to dashboard Cite

Energy-related CO 2 emissions in China have been extensively investigated. However, the mechanisms of how energy-related emissions are driven by inter-sectoral linkages remains unexplored. In this paper, a subsystem input-output model was developed to investigate the temporal and sectoral changes of emissions in China from 1997 to 2012. We decomposed total emissions into internal, spillover, feedback, and direct components. Our results show that the equipment manufacturing, construction and services sectors are the main sources of emissions during the whole period, which have a larger spillover component, primarily through indirect upstream emissions in the heavy-manufacturing, transportation, and power sectors. The emissions from the power and transportation sectors are dominated by direct rather than the spillover emissions. The shares of the feedback and internal components in the heavy manufacturing sectors were significantly higher than those of other sectors. Our results suggest that further addressing carbon emissions along the supply chain of equipment manufacturing, construction and services sectors, and improving technologies in the heavy manufacturing and power sectors holds important future opportunities for curbing the rapid growth of carbon emissions in China.

show abstract

“…The obvious neighborhood effects as well as significant economic spillovers within and inter-municipality were found. Besides, Tang et al, 62 Li et al 63 and Chen et al 64 also confirmed that regional carbon emissions exhibit significant spatial interaction.…”

Section: Literatures On Spatial Effects Of Carbon Emissionsmentioning

confidence: 86%

Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China

Zhang

et al. 2018

Energy & Environment

View full text Add to dashboard Cite

The convergence of carbon emissions in important regions is a key prerequisite for reaching China's carbon emissions peak target. The Yangtze River Economic Belt (YREB) is the latest strategic economic area in China. In this study, a method of investigating the convergence of per capita carbon emissions in the YREB is proposed, and it includes the following models: r convergence, stochastic convergence and b convergence. Besides, the five control variables per capita Gross Domestic Product (GDP), energy consumption structure, industrial structure, population density and urbanization rate are considered in the test models. In addition to testing the whole sample of 74 cities belonging to the Economic Belt, the convergence of three subgroups (municipalities, capital and sub-provincial cities and prefecture-level cities) is also tested by considering spatial effects. The following results are obtained: (1) although r convergence and b conditional convergence are observed, stochastic convergence is not observed for the 74 cities; (2) the per capita GDP and energy structure are the key factors influencing the cities' convergence, whereas the urbanization rate has a limited impact; and (3) improving the industrial structure and reducing the population density are effective methods of promoting the convergence of per capita carbon emissions among the capital and subprovincial cities and municipalities, respectively.

show abstract

The measurement of the spatial effects of Chinese regional carbon emissions caused by exports

Cited by 11 publications

References 20 publications

Dynamic Analysis of China’s Imported Raw Milk Powder Consumption

Dynamic Analysis of China’s Imported Raw Milk Powder Consumption

The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012

Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China

Contact Info

Product

Resources

About