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

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.

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

Applied Sciences ◽

10.3390/app11041750 ◽

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.

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Effects of straw’s comprehensive utilization-technology on agricultural carbon emission in Jiangsu Province

E3S Web of Conferences ◽

10.1051/e3sconf/202126701014 ◽

2021 ◽

Vol 267 ◽

pp. 01014

Author(s):

Xue Qin ◽

Jun Yan ◽

G.Y. Zhu

Keyword(s):

Influencing Factors ◽

Carbon Emissions ◽

Emission Reduction ◽

Carbon Emission ◽

Explanatory Variable ◽

Inhibitory Effect ◽

Jiangsu Province ◽

Stirpat Model ◽

Comprehensive Utilization ◽

The Core

Straw resources are abundant in Jiangsu province, the utilization and burning of straw is an important problem in agriculture carbon emission reduction. In order to analyze the effect of straw’s comprehensive utilization technology on agricultural carbon emission, the STIRPAT model is introduced, which takes straw utilization technology as the core explanatory variable while other influencing factors as control variables, and the ridge regression is adopted to conduct an empirical analysis on the influencing factors of agricultural carbon emission in Jiangsu province from 2008 to 2018. The results demonstrate that for every 1% increasing of straw’s comprehensive utilization technology, agriculture carbon emission will be reduced by 0.17%; the labor force is the biggest driver of agriculture carbon emissions; agriculture economic development, energy consumption takes a certain inhibitory effect on agriculture carbon emissions, but not very great.

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

Sustainability ◽

10.3390/su13052722 ◽

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.

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

Proceedings of the 56th ISOCARP World Planning Congress ◽

10.47472/ioxj4775 ◽

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.

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Evaluating the Coordination of Industrial-Economic Development Based on Anthropogenic Carbon Emissions in Henan Province, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph15091815 ◽

2018 ◽

Vol 15 (9) ◽

pp. 1815 ◽

Cited By ~ 4

Author(s):

Jianjian He ◽

Pengyan Zhang

Keyword(s):

Economic Development ◽

Carbon Emissions ◽

Carbon Emission ◽

Henan Province ◽

Total Carbon ◽

Economic Sectors ◽

Climate Change Research ◽

Secondary Sector ◽

Anthropogenic Carbon ◽

Coordination Degree

The mechanism of interaction between economic development, industrial structure and anthropogenic carbon emissions has become one of the focuses of climate change research. In this investigation, Henan Province was studied as an example, wherein the calculation model of carbon emissions in the primary, secondary and tertiary economic sectors was built using the ArcGIS 10.1 software. The spatiotemporal difference of carbon emissions between 2006 and 2015 from the three sectors was studied. The relation between economic development and environmental protection is discussed, based on the construction of a coordination degree model. Conclusions drawn from this analysis are: (1) In 2015, China’s total carbon emissions reached 10,291.93 × 107 t and Henan’s carbon emissions accounted for 1.96% of China’s total carbon emissions. The total carbon emissions in Henan Province increased more than 25.00% between 2006 and 2015. (2) Carbon emissions from different economic sectors demonstrated varied patterns. The primary sector presented a gradual decreasing trend in carbon emission, while the secondary sector showed a fluctuating pattern and the tertiary sector had an inclining trend in carbon emission. (3) There are also disparities in the spatial distribution of carbon emissions from different economic sectors. The primary and tertiary sectors had higher emissions in the southeast and lower emissions in the northwest regions, while the secondary sector showed higher emissions in the northwest and lower emissions in the southeast Between cities at different prefecture levels, differences do not only lie on the quantity of carbon emissions from the three sectors of economy but also a larger variation with regards to the change in quantity of carbon emissions. (4) The coordination degree of economic development was low among different prefecture-level cities. The economic and environmental development appeared coordinated among cities at the same prefecture level; however, coordination degrees among different prefecture-level cities varies significantly.

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

Proceedings of the 56th ISOCARP World Planning Congress ◽

10.47472/atxj1734 ◽

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

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Influencing Factors of Carbon Emissions in the Construction Industry Based on Logarithmic Mean Divisia Index: A Case Study of China

Nature Environment and Pollution Technology ◽

10.46488/nept.2021.v20i04.030 ◽

2021 ◽

Vol 20 (4) ◽

Author(s):

Wang Lijuan

Keyword(s):

Economic Development ◽

Energy Saving ◽

Construction Industry ◽

Influencing Factors ◽

Carbon Emissions ◽

Emission Reduction ◽

Carbon Emission ◽

Henan Province ◽

Logarithmic Mean

Carbon emission is further intensified as urbanization and industrialization continue to accelerate. China has maintained its rapid economic development and urbanization in the last 2 decades. The development of the construction industry has not only consumed a large number of energy sources but also resulted in significant carbon emissions, causing some environmental damage. Recognizing the major influencing factors of carbon emissions in the construction industry has become a research hotspot to alleviate environmental pollution caused by the construction industry and meet industrial demands for energy saving and emission reduction. In this study, the factors that influence annual carbon emissions of different building types in China from 2011 to 2018 were decomposed by Logarithmic Mean Divisia Index (LMDI) through a case study in Henan Province. The major influencing factors of carbon emissions have been identified. Results demonstrate that the per capita carbon emission in the construction industry in Henan Province remains high from 2011 to 2018, but it decreases year by year. Carbon emissions from the construction industry in Henan Province increase due to economic development and energy structure. Energy efficiency can inhibit carbon emissions from the construction industry in Henan Province. The obtained conclusions have a positive effect on analyzing annual variations in carbon emissions from the construction industry in a region, identifying influencing factors, and proposing specific countermeasures of energy saving and emission reduction.

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The Spatiotemporal Evolution Pattern and Influential Factor of Regional Carbon Emission Convergence in China

Advances in Meteorology ◽

10.1155/2020/4361570 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Xin Tong

Keyword(s):

Economic Development ◽

Carbon Emissions ◽

Emission Reduction ◽

Carbon Emission ◽

Influential Factor ◽

Spatiotemporal Evolution ◽

Reduction Strategy ◽

Emission Level ◽

Evolution Pattern ◽

Convergence Model

As economic development rapidly progresses in China, a method of carbon emission control that provides reasonable solutions is needed. This paper analyzes the convergence of carbon emission evolutionary characteristics in different regions of China and studies the dynamics of carbon emissions in China based on a convergence model. It was found that the carbon emission levels of each region are prominent in terms of time, and the regional carbon emission level has absolute β characteristics. The regional carbon emission condition β convergences have different convergence paths. Therefore, it is necessary to justify carbon emission reduction in China and put forward an emission reduction strategy.

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Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?

Sustainability ◽

10.3390/su11133622 ◽

2019 ◽

Vol 11 (13) ◽

pp. 3622 ◽

Cited By ~ 3

Author(s):

Wenbin Shao ◽

Fangyi Li ◽

Zhaoyang Ye ◽

Zhipeng Tang ◽

Wu Xie ◽

...

Keyword(s):

Economic Development ◽

Carbon Emissions ◽

Decomposition Method ◽

Carbon Emission ◽

Spillover Effects ◽

Efficiency Improvement ◽

Input Output ◽

Coastal Regions ◽

Regional Trade ◽

Positive Spillover

International and inter-regional trade in China has been promoted, the economic and environmental impacts of which are significant in regional development. In this paper, we analyzed the evolution of inter-regional spillover of carbon emissions and employment in China from 2007 to 2012 with structural decomposition method and multi-regional input-output tables. The index of carbon emission per employee (ICE) is designed and compared to indicate positive or negative spillover effects. We find that carbon emissions grow much more rapidly in interior regions than in coastal regions, due to spillover effects and own influences. Spillover effects rarely reduce the ICE of destination regions, but the own influences can decrease it in most regions. Although spillover may contribute to economic development in most regions, it is hardly a driver of efficiency improvement in destination regions. Based on these empirical findings, we put forward specific suggestions to improve the positive spillover effects on different kinds of regions.

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Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015

Energies ◽

10.3390/en12163081 ◽

2019 ◽

Vol 12 (16) ◽

pp. 3081 ◽

Cited By ~ 5

Author(s):

Zeng ◽

Lu ◽

Liu ◽

Zhou ◽

Keyword(s):

Influencing Factors ◽

Regional Differences ◽

Carbon Emission ◽

Industrial Structure ◽

Tobit Model ◽

Policy Implications ◽

Dea Model ◽

Emission Efficiency ◽

Unit Root Testing ◽

Technology Level

With the challenge to reach targets of carbon emission reduction at the regional level, it is necessary to analyze the regional differences and influencing factors on China’s carbon emission efficiency. Based on statistics from 2005 to 2015, carbon emission efficiency and the differences in 30 provinces of China were rated by the Modified Undesirable Epsilon-based measure (EBM) Data Envelopment Analysis (DEA) Model. Additionally, we further analyzed the influencing factors of carbon emission efficiency’s differences in the Tobit model. We found that the overall carbon emission efficiency was relatively low in China. The level of carbon emission efficiency is the highest in the East region, followed by the Central and West regions. As for the influencing factors, industrial structure, external development, and science and technology level had a significant positive relationship with carbon emission efficiency, whereas government intervention and energy intensity demonstrated a negative correlation with carbon emission efficiency. The contributions of this paper include two aspects. First, we used the Modified Undesirable EBM DEA Model, which is more accurate than traditional methods. Secondly, based on the data’s unit root testing and cointegration, the paper verified the influencing factors of carbon emission efficiency by the Tobit model, which avoids the spurious regression. Based on the results, we also provide several policy implications for policymakers to improve carbon emission efficiency in different regions.

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