scholarly journals Mitigating post-oil sustainability challenges in a topographically framed transit-oriented city

2020 ◽  
Author(s):  
Tijana Tufek-Memisevic ◽  
◽  
Zina Ruzdic ◽  
Keyword(s):  
Economic Development ◽  
Economic Efficiency ◽  
Carbon Emissions ◽  
Urban Form ◽  
Carbon Emission ◽  
Small Towns ◽  
Low Carbon ◽  
Social Efficiency ◽  
Emission Efficiency ◽  
The Relationship

Maintaining a balance between economic development and carbon emissions reduction is an important part of low-carbon development in modern cities. At present, the positive effect of urban compactness on carbon emission efficiency has been demonstrated in large cities, but few studies have been carried out on small towns. Small towns are an important part of China’s urban system, accounting for 70% of the total population and 60% of the national GDP. Most small towns in China still promote economic growth and enhance the social welfare of residents by large-scale urban construction, which inevitably leads to urban expansion and high carbon emissions. How to reduce carbon emissions by optimising urban form while continuing with economic development and maintaining people’s welfare has become an important issue faced by small towns in China. To guide the low-carbon planning of small towns, it is necessary to understand the relationship between urban compactness and the economic benefit and socialwelfare levels associated with the carbon emissions in small towns. This study quantitatively analyse the relationship between urban compactness and carbon emission efficiency (including CO2 economic efficiency and CO2 social efficiency) in small towns in the Yangtze River Delta (YRD) from 2008 to 2017. This study resulted in four main findings. (i) the expansion of urban scale had significantly improved the CO2 economic efficiency and CO2 social efficiency; (ii) the compactness presented opposite effects on the CO2 economic efficiency and CO2 social efficiency, compactness had a negative correlation with CO2 economic efficiency, and had a positive correlation with CO2 social efficiency; (ii) The CO2 economic efficiency and CO2 social efficiency both show an upward trend over the period 2008 to 2017; (iv) The relationship between GDP and carbon emissions in small towns did not reach an ideal state, the economies of small towns in China are still strongly dependent on scale expansion.

scholarly journals Impact of Urban Compactness on Carbon Emission Efficiency in Small Towns in China

2020 ◽  
Author(s):  
Qing Yuan ◽  
◽  
Ran Guo
Keyword(s):  
Economic Development ◽  
Economic Efficiency ◽  
Carbon Emissions ◽  
Urban Form ◽  
Carbon Emission ◽  
Small Towns ◽  
Low Carbon ◽  
Social Efficiency ◽  
Emission Efficiency ◽  
The Relationship

Maintaining a balance between economic development and carbon emissions reduction is an important part of low-carbon development in modern cities. At present, the positive effect of urban compactness on carbon emission efficiency has been demonstrated in large cities, but few studies have been carried out on small towns. Small towns are an important part of China’s urban system, accounting for 70% of the total population and 60% of the national GDP. Most small towns in China still promote economic growth and enhance the social welfare of residents by large-scale urban construction, which inevitably leads to urban expansion and high carbon emissions. How to reduce carbon emissions by optimising urban form while continuing with economic development and maintaining people’s welfare has become an important issue faced by small towns in China. To guide the low-carbon planning of small towns, it is necessary to understand the relationship between urban compactness and the economic benefit and socialwelfare levels associated with the carbon emissions in small towns. This study quantitatively analyse the relationship between urban compactness and carbon emission efficiency (including CO2 economic efficiency and CO2 social efficiency) in small towns in the Yangtze River Delta (YRD) from 2008 to 2017. This study resulted in four main findings. (i) the expansion of urban scale had significantly improved the CO2 economic efficiency and CO2 social efficiency; (ii) the compactness presented opposite effects on the CO2 economic efficiency and CO2 social efficiency, compactness had a negative correlation with CO2 economic efficiency, and had a positive correlation with CO2 social efficiency; (ii) The CO2 economic efficiency and CO2 social efficiency both show an upward trend over the period 2008 to 2017; (iv) The relationship between GDP and carbon emissions in small towns did not reach an ideal state, the economies of small towns in China are still strongly dependent on scale expansion.

scholarly journals Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation

2021 ◽  
Vol 18 (4) ◽  
pp. 1601
Author(s):  
Yue Pan ◽  
Gangmin Weng ◽  
Conghui Li ◽  
Jianpu Li
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Tourism Industry ◽  
Compound System ◽  
Regional Innovation ◽  
Emission Efficiency ◽  
The Core ◽  
Coordination Degree

To discuss the coupling coordination relationship among tourism carbon emissions, economic development and regional innovation it is not only necessary to realize the green development of tourism economy, but also great significance for the tourism industry to take a low-carbon path. Taking the 30 provinces of China for example, this paper calculated the tourism carbon emission efficiency based on the super-efficiency Slacks based measure and Data envelope analyse (SBM-DEA) model from 2007 to 2017, and on this basis, defined a compound system that consists of tourism carbon emissions, tourism economic development and tourism regional innovation. Further, the coupling coordination degree model and dynamic degree model were used to explore its spatiotemporal evolution characteristics of balanced development, and this paper distinguished the core influencing factors by Geodetector model. The results showed that (1) during the study period, the tourism carbon emission efficiency showed a reciprocating trend of first rising and then falling, mainly due to the change of pure technical efficiency. (2) The coupling coordination degree developed towards a good trend, while there were significant differences among provinces, showing a gradient distribution pattern of decreasing from east to west. Additionally, (3) the core driving factors varied over time, however, in general, the influence from high to low were as follows: technological innovation, economic development, urbanization, environmental pollution control, and industrial structure. Finally, some policy recommendations were put forward to further promote the coupling coordination degree.

scholarly journals Influence of Urbanization and Foreign Direct Investment on Carbon Emission Efficiency: Evidence from Urban Clusters in the Yangtze River Economic Belt

2021 ◽  
Vol 13 (5) ◽  
pp. 2722
Author(s):  
Shijian Wu ◽  
Kaili Zhang
Keyword(s):  
Economic Development ◽  
Foreign Direct Investment ◽  
Carbon Emissions ◽  
Direct Investment ◽  
Yangtze River ◽  
Carbon Emission ◽  
The Yangtze River ◽  
Urban Agglomerations ◽  
Emission Efficiency ◽  
The Impact

Reducing carbon emissions and realizing green, circular, and low-carbon development is essential for high-quality economic development. Following the construction of a superefficiency SBM model and combining the panel data of three major urban agglomerations in the Yangtze River Economic Belt from 2003 to 2017, carbon emission efficiency was measured and analyzed. A spatial Durbin model (SDM) was incorporated to analyze the urban agglomerations in the Yangtze River Economic Belt and the impact of urbanization quality and foreign direct investment (FDI) on carbon emission efficiency. Finally, the SDM model was used to decompose the spillover effect. Generally, carbon emission efficiency in the three major urban agglomerations in the Yangtze River Economic Belt is low, with regional differences. FDI only has a positive impact on the carbon emissions of the Yangtze River Delta and the middle reaches of the Yangtze River. Furthermore, urbanization and population density have led to high levels of carbon emission in the region; however, the industrial structure and energy intensity factors have inhibited the improvement of regional carbon emission efficiency. Improving the quality of urbanization and trade structure is important to achieve energy conservation and emission reductions, which are pillars of sustainable economic development.

Grey Relational Analysis on the Relationship between Economic Development and Carbon Emissions in Hubei Province

2014 ◽  
Vol 1073-1076 ◽  
pp. 2641-2647
Author(s):  
Yan Wen Liu ◽  
Zhi Chen ◽  
Xia Zhou
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Grey Relational Analysis ◽  
Hubei Province ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Relational Analysis ◽  
Correlation Degree ◽  
Grey Relational ◽  
The Relationship

The problem about promoting the rapid economic growth while effectively reducing CO2 emission has aroused great attention of scholars both at home and abroad. Researches show that there are differences in the relationship between economic development and carbon emissions in the different historical stages of the different regions. This paper took Hubei Province as the survey region, by means of the decomposition model of CO2 emissions, accurately calculated CO2 emissions from 2001 to 2010 in Hubei Province, selected Hubei Province’s GDP and the three industries’ GDP as indicators of economic development, used the method of grey relational analysis to calculate grey correlation degree of Hubei Province’s GDP, three major industries’ GDP and CO2 emissions, carried on the comparative analysis of the relationship between economic development and CO2 emissions of Hubei Province in combination with China’s corresponding results, specifically put forward policy suggestions on energy conservation and emissions reduction in Hubei Province, so as to provide the theoretical reference for the development of low carbon economy in Hubei Province.

scholarly journals The impact of technological innovation on carbon emissions

2021 ◽  
Vol 275 ◽  
pp. 02039
Author(s):  
Jing Niu
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Technological Innovation ◽  
Carbon Emissions ◽  
Fixed Effects ◽  
Low Carbon ◽  
Fixed Effects Models ◽  
Low Carbon Technologies ◽  
The Impact ◽  
The Relationship

Environmental problems caused by carbon emissions have received widespread attention, and technological innovation has an important impact on carbon emissions. This paper uses data from 30 provinces (excluding Tibet) in China from 2009 to 2018 as a sample, and empirically analyzes the relationship between technological innovation and carbon emissions by constructing panel data and fixed effects models. The results show that technological innovation can curb carbon emissions. Therefore, China should increase research and application of low-carbon technologies to promote sustainable economic development.

scholarly journals Research on the compilation of low carbon planning guidelines for Changxing County, China

2020 ◽  
Author(s):  
Rong Guo ◽  
◽  
Xiaochen Wu ◽  
Tong Wu ◽  
◽  
...  
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Small Towns ◽  
Energy Structure ◽  
Low Carbon ◽  
Main Factors ◽  
Reform And Opening Up ◽  
The City ◽  
Opening Up

In the past 40 years since China's reform and opening up, the city has been developing rapidly. Small towns are faced with the challenges of extensive development, degradation of human settlements and dif iculty in retaining local characteristics. Therefore, in the development process of small towns, we should not only pay attention to economic development, but also energy conservation and emission reduction, and pay attention to the protection of local characteristics.This paper calculates the carbon emissions of energy consumption in Changxing County from 2002 to 2017, and analyzes the main factors and degree of carbon emissions in Changxing County by using Kaya identities based on the carbon emissions decomposition model. The results show that the carbon emissions of Changxing County increased year by year, but the growth rate showed a downward trend. The ef ect of economic development and energy intensity has a great contribution to the carbon emissions of Changxing County. Industrial structure ef ect, energy structure ef ect and population size ef ect have little contribution to carbon emissions. Combined with the current situation and main factors of carbon emissions in Changxing County, this paper puts forward the compilation ideas and framework of low-carbon planning guidelines of Changxing County from six characteristic spaces , so as to provide the thinking and practical basis for the low-carbon construction of small towns.

scholarly journals Measurement of the Degree of Coordination in Regard to Carbon Emissions, Economic Development, and Environmental Protection in China

2021 ◽  
Vol 11 (4) ◽  
pp. 1750
Author(s):  
Chenyu Lu ◽  
Dai Wang ◽  
Hengji Li ◽  
Wei Cheng ◽  
Xianglong Tang ◽  
...  
Keyword(s):  
Economic Development ◽  
Environmental Protection ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Central Government ◽  
Spatial Aggregation ◽  
Eastern Region ◽  
Emission Efficiency ◽  
Coordination Development ◽  
Coordination Degree

Driven by economic development, the dramatic increase in carbon emissions has led to global warming and a series of environmental problems. The question of how to ensure harmonized coordination between economic development, carbon emissions and environmental protection has become increasingly important. The conflicts between the use of energy and emission reductions in China have become more intense. It is an inevitable requirement for China’s sustainable development to promote a low-carbon circular economy and the simultaneous and coordinated development of carbon emissions, the economy and the environment. The present study took 30 provinces (municipalities and autonomous regions directly under the Central Government) as the research objects (Tibet, Hong Kong, Macau, and Taiwan are not included in the study due to the lack of relevant data), and applied quantitative analysis methods, such as three-stage data envelopment analysis (DEA) models, coupling coordination degree models and spatial analysis models, to construct a measurement index system. On the basis of the measurement of its carbon emission efficiency, the level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection at both spatial and temporal dimensions was analyzed comprehensively in order to reveal its temporal and spatial characteristics. The conclusions are as follows: (1) China’s overall carbon emission efficiency displayed a gradual upward trend, although the overall level was not that high. Therefore, there is still much scope for further improvement. (2) The level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection showed a steady yet rising trend. All provinces reached different levels of coordination development, and there was no province that displayed a disorderly declining trend. However, the number of provinces that reached or went beyond the intermediate level of coordination development was quite limited. (3) The level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection displayed obvious spatial aggregation patterns at the provincial level, showing an apparent spatial dependence and heterogeneity. Over time, the level of spatial aggregation patterns in regard to coordination degree tended to weaken. Overall, the values were high in the eastern region and low in the western region, decreasing from the eastern coastal zone towards the western inland zone, thus demonstrating a contrasting east-west spatial distribution pattern.

scholarly journals Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1810
Author(s):  
Kaitong Xu ◽  
Haibo Kang ◽  
Wei Wang ◽  
Ping Jiang ◽  
Na Li
Keyword(s):  
Life Cycle ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Composite Beams ◽  
Total Carbon ◽  
Construction Process ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
The Government

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

The Theoretical and Empirical Research on Pricing of China's Carbon Emission Permits

2012 ◽  
Vol 524-527 ◽  
pp. 2474-2481
Author(s):  
Zhi Gang Huang ◽  
Jiao Ling Xie ◽  
Wen Ping Wu
Keyword(s):  
Option Pricing ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Supply And Demand ◽  
Practical Significance ◽  
Emission Permits ◽  
Transaction Data ◽  
Carbon Finance ◽  
Relationship Of ◽  
The Relationship

Carbon emissions permits has its own particularity,and with the development of carbon finance,carbon emissions permits possess the commodity attributes and financial attributes.So its price isn’t determined only by the relationship of commodity supply and demand,but also affected by a variety of factors.But because the transaction data is not available,so the pricing of the carbon emissions permits can not really consider from the angle of the influencing factors of price.Therefore, this paper is on the basis of previous studies using mathematical tools and introducing the option pricing mechanism to study th pricing of China's carbon emissions permits basing on carbon emissions,which is designed for providing reference on the pricing of China's carbon emissions,being of both theoretical and practical significance.

Carbon Emission of Mining Industry’s Energy Consumption in Heilongjiang Province

2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Mining Industry ◽  
Calculation Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heilongjiang Province ◽  
Low Carbon

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.

Sign in / Sign up

Export Citation Format

Share Document