scholarly journals Research on carbon emission differences decomposition and spatial heterogeneity pattern of China’s eight economic regions

2022 ◽  
Author(s):  
Yuan Zhang ◽  
Zhen Yu ◽  
Juan Zhang
Keyword(s):  
Spatial Heterogeneity ◽  
Carbon Emission ◽  
Economic Regions

scholarly journals What Is the Regional Differences in Carbon Emission Performance: Evidences From Energy-intensive Industries in China?

2021 ◽  
Author(s):  
Yao Chen ◽  
Jing Wu
Keyword(s):  
Growth Rate ◽  
Emission Reduction ◽  
Regional Differences ◽  
Carbon Emission ◽  
Reduction Potential ◽  
Carbon Emission Reduction ◽  
Emission Efficiency ◽  
Emission Reduction Potential ◽  
Economic Regions ◽  
Energy Intensive Industries

Abstract As the major energy consumers, energy-intensive industries are the key players in achieving carbon emission reduction targets. Grasping the carbon emission reduction potential has a direct impact on the implementation of the carbon emission reduction policies of China. The paper builds a super-Slack Based Model(SBM) considering this undesirable output, and calculates the carbon emission efficiency. Then, the Meta-Frontier Malmquist-Luenberger productivity index (MF-MLPI) is constructed to dynamically analyse the growth rate changes of the carbon emission efficiency and the regional differences in energy-intensive industries. Furthermore, the carbon emission reduction potential of the energy-intensive industries in various economic regions of China is discussed and the conclusions are as follows: there is a big difference in the carbon emission Technology Gap Ratios (TGRs) of the energy-intensive industries in different economic regions; the growth rate of the carbon emission efficiency of energy-intensive industries shows a trend of first declining and then slowly recovering while the carbon reduction potential generally shows a trend of decreasing and then rising; and the carbon emission reduction potential in the eastern region keeps decreasing. The following is recommended: the government should rationally distribute energy-intensive industries, promote industrial structure adjustment, optimize the energy structure according to the regional industrial advantages; increase investment in R&D, promote energy technology innovation in energy-intensive industries; prioritize the promotion of carbon peaks on key emission industries and regional, formulate differentiated plans for the regions and industries with different carbon emission reduction potentials.

Carbon Emission from Cascade Reservoirs: Spatial Heterogeneity and Mechanisms

2017 ◽  
Vol 51 (21) ◽  
pp. 12175-12181 ◽  
Author(s):  
Wenqing Shi ◽  
Qiuwen Chen ◽  
Qitao Yi ◽  
Juhua Yu ◽  
Yuyu Ji ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
Carbon Emission ◽  
Cascade Reservoirs

scholarly journals The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1169
Author(s):  
Tao Shi ◽  
Shucun Si ◽  
Jian Chan ◽  
Lingling Zhou
Keyword(s):  
Spatial Heterogeneity ◽  
Technological Innovation ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Western Region ◽  
Transportation Industry ◽  
Carbon Emission Reduction ◽  
Carbon Reduction ◽  
The Western Region ◽  
Reduction Effect

The carbon reduction effect of technological innovation in the transportation industry is conducive to China’s anticipated realization of carbon neutrality. Therefore, we evaluated carbon emission reduction effect of technological innovation in the transportation industry in China. Based on the panel data of 30 sample provinces in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2012 to 2018, using the Moran’I index and Getis-Ord Gi index, this paper analyzes the evolutionary trend and spatial autocorrelation of carbon emission in the transportation industry, and analyzes the impact of technological innovation on carbon emission levels of the transportation industry and its spatiotemporal differences by using the geographical and temporal weighted regression (GTWR) model by using ArcGIS 10.4 software. The conclusions are as follows: The carbon emission level of China’s transportation industry generally has been rising steadily, showing a spatial distribution pattern of high emissions in the east and low emissions in the west. The cold spots are concentrated in the western region, and the hot spots are situated in the central and eastern regions. Technological innovation has a carbon reduction effect on the transportation industry in the eastern and north-eastern regions, while the effect in other regions is not obvious. However, there is an obvious “inverted U-shaped” relationship between technological innovation and the transportation industry’s carbon emissions. The technological innovation in the transportation industry will have a significant carbon reduction effect after breaking through the technical pain points. This carbon reduction effect has a higher effect on the western region than on the eastern region. In addition, the economic development level, the fiscal expenditure proportion of the transportation industry, the higher education level, and the proportion of fixed asset investment in the transportation industry have played a positive role in reducing carbon in the transportation industry, but the spatial heterogeneity of this carbon reduction effect is relatively strong. Therefore, during the “14th Five-Year Plan” development period in China, it is necessary to continuously promote the low-carbon development of the transportation industry with technological innovation, while highlighting the differentiated carbon reduction governance, and consolidating the role of talents and fiscal support.

scholarly journals Spatio-Temporal Effects of Multi-Dimensional Urbanization on Carbon Emission Efficiency: Analysis Based on Panel Data of 283 Cities in China

2021 ◽  
Vol 18 (23) ◽  
pp. 12712
Author(s):  
Zhanhang Zhou ◽  
Linjian Cao ◽  
Kuokuo Zhao ◽  
Dongliang Li ◽  
Ci Ding
Keyword(s):  
Panel Data ◽  
Spatial Heterogeneity ◽  
Carbon Emission ◽  
Negative Impact ◽  
Low Carbon ◽  
Promoting Effect ◽  
Gradual Improvement ◽  
Emission Efficiency ◽  
Spatio Temporal ◽  
The Impact

Under the influence of complex urbanization, improving the carbon emission efficiency (CEE) plays an important role in the construction of low-carbon cities in China. Based on the panel data of 283 prefectural-level cities in China from 2005 to 2017, this study evaluated the CEE by the US-SBM model, and explored the spatial agglomeration evolution characteristics of CEE from static and dynamic perspectives by integrating ESDA and Spatial Markov Chains. Then, the spatial heterogeneity of the impacts of multi-dimensional urbanization on CEE were analyzed by using the Geographically and Temporally Weighted Regression (GTWR). The results show that: (1) with the evolution of time, the CEE has a trend of gradual improvement, but the average is 0.4693; (2) from the perspective of spatial static agglomeration, the “hot spots” of CEE mainly concentrated in Shandong Peninsula, Pearl River Delta, and Chengdu-Chongqing urban agglomeration; The dynamic evolution of CEE gradually forms the phenomenon of “club convergence”; (3) urbanization of different dimensions shows spatial heterogeneity to CEE. The impact of economic urbanization in northern cities on CEE shows an inverted “U” shape, and the negative impact of spatial urbanization on CEE appears in the northwest and resource-based cities around Bohai Sea. Population and social urbanization have a positive promoting effect on CEE after 2010. These findings may help China to improve the level of CEE at the city level and provide a reference for low-carbon decision-making.

The Introduction of Plantations into East Sumatra and its Socio-economic Impacts, 1863-1929

2020 ◽  
Vol 6 (5) ◽  
pp. 563-576
Keyword(s):  
Twentieth Century ◽  
Social Transformation ◽  
Rapid Expansion ◽  
Local Resistance ◽  
Short Period ◽  
Late Nineteenth ◽  
Fierce Competition ◽  
Plantation Crops ◽  
Colonial Government ◽  
Economic Regions

The goal of this article is to examine the introduction of plantations into East Sumatra (Indonesia) in the late nineteenth and early twentieth century. Attention is given to the five most important plantation crops, namely tobacco, rubber, oil palm, tea, and fiber. The article analyzes the economic and social transformation of the region as a consequence of the rapid expansion of plantations. Within a short period of time, East Sumatra emerged to become one of the most dynamic economic regions of Southeast Asia. The development of the region and the needs of a source of protection for Dutch planters in face of fierce competition from other Western companies and local resistance encouraged the Dutch colonial government to establish effective authority in East Sumatra. Received 4th June 2020; Revised 15th September 2020; Accepted 26th September 2020

Soil Spatial Heterogeneity and Systems of Agriculture

2015 ◽  
Vol 2 (1) ◽  
pp. 50-59
Author(s):  
V. Medvedev
Keyword(s):  
Spatial Heterogeneity ◽  
Soil Cover ◽  
Regular Grid ◽  
Resource Saving ◽  
The Third ◽  
Soil Spatial Heterogeneity ◽  
Agriculture Systems ◽  
Zonal Soils

Aim. To consider soil continuality and discreteness as features of heterogeneity manifestation in a soil cover, important for construction of agriculture systems. Methods. Geostatistical research of soil spatial heterogeneity, revealing the contours of a fi eld with various parameters of fertility. Results. The use of principles of precise agriculture and inspection of indicative properties of fi eld soils using a regular grid allowed to divide a fi eld into contours with three levels of fertility: the fi rst one is characterized by optimal or close to optimum properties which allows refusing from (or reducing substantially) tillage, introduction of fertilizers or chemical ameliorates; the second one has average parameters of fertility corresponding to zonal soils and demands the application of zonal technologies; the third one (with the worst parameters of fertility) presupposes regular use of the improved technologies. Conclusions. The introduction of precise agriculture will allow replacing a traditional zonal system with thenew which is soil-protecting and resource-saving one.

CREATING WALKING LED TRANSIT STATIONS FOR WOMEN IN MALAYSIA

2020 ◽  
Vol 7 (1) ◽  
pp. 99
Author(s):  
Yong Adilah Shamsul Harumain ◽  
Nur Farhana Azmi ◽  
Suhaini Yusoff
Keyword(s):  
Quality Of Life ◽  
Developing Countries ◽  
Public Transportation ◽  
Carbon Emission ◽  
The Other ◽  
Walking Distance ◽  
The Road ◽  
On The Road ◽  
Female User

Transit stations are generally well known as nodes of spaces where percentage of people walking are relatively high. The issue is do more planning is actually given to create walkability. Creating walking led transit stations involves planning of walking distance, providing facilities like pathways, toilets, seating and lighting. On the other hand, creating walking led transit station for women uncover a new epitome. Walking becomes one of the most important forms of mobility for women in developing countries nowadays. Encouraging women to use public transportation is not just about another effort to promote the use of public transportation but also another great endeavour to reduce numbers of traffic on the road. This also means, creating an effort to control accidents rate, reducing carbon emission, improving health and eventually, developing the quality of life. Hence, in this paper, we sought first to find out the factors that motivate women to walk at transit stations in Malaysia. A questionnaire survey with 562 female user of Light Railway Transit (LRT) was conducted at LRT stations along Kelana Jaya Line. Both built and non-built environment characteristics, particularly distance, safety and facilities were found as factors that are consistently associated with women walkability. With these findings, the paper highlights the criteria  which are needed to create and make betterment of transit stations not just for women but also for walkability in general.

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