Exploring the Dependence and Influencing Factors of Carbon Emissions from the Perspective of Population Development

Working towards sustainable population development is an important part of carbon mitigation efforts, and decoupling carbon emissions from population development has great significance for carbon mitigation. Based on the construction of a comprehensive population development index (PDI), this study adopts a decoupling model to explore the dependence between carbon emissions and PDI across 30 Chinese provinces from 2001 to 2017. Then, the stochastic impacts by regression on population, affluence and technology (STIRPAT) model is used to investigate the impact of population factors on carbon emissions. The results show that the decoupling relationship between carbon emissions and PDI has experienced a transformation from expansive negative coupling to expansive coupling and then to weak decoupling at the national level, while some provinces have experienced the same evolutionary process, but the decoupling state in most provinces is not ideal. Sending talent to western provinces and developing low-carbon supporting industries will accelerate carbon decoupling. At the national level, incorporating environmental protection into the existing education system as part of classroom teaching could contribute to carbon decoupling.

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The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18020705 ◽

2021 ◽

Vol 18 (2) ◽

pp. 705

Author(s):

Hongpeng Guo ◽

Sidong Xie ◽

Chulin Pan

Keyword(s):

Carbon Emissions ◽

Structural Changes ◽

Multiple Linear Regression Model ◽

Industry Structure ◽

Estimation Methods ◽

Low Carbon ◽

Carbon Sinks ◽

Resource Endowment ◽

The Government ◽

The Impact

This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.

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Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis

Sustainability ◽

10.3390/su10072458 ◽

2018 ◽

Vol 10 (7) ◽

pp. 2458 ◽

Cited By ~ 1

Author(s):

Weidong Li ◽

Xin Qi ◽

Xiaojun Zhao

Keyword(s):

Panel Data ◽

Carbon Emission ◽

Population Aging ◽

Panel Data Analysis ◽

Negative Relationship ◽

Modern Society ◽

Eastern Region ◽

Low Carbon ◽

Stirpat Model ◽

The Impact

The impact of population structure on carbon emission has always been a key area of research in modern society. In this paper, we propose a new expanded STIRPAT model and panel co-integration method to analyze the relationship between population aging and carbon emission, based on the provincial panel data in China from 1999 to 2014. Empirical results show that there exists a significant inverted U-shaped curve between the population aging and carbon emission. There also exist regional discrepancies, where the impact of the population aging on carbon emission in the eastern region is significantly positive. By contrast, a negative relationship arises in the central and western regions. Finally, several suggestions for low carbon development are provided.

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Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

Sustainability ◽

10.3390/su11164387 ◽

2019 ◽

Vol 11 (16) ◽

pp. 4387 ◽

Cited By ~ 2

Author(s):

Lin ◽

Zhang ◽

Wang ◽

Yang ◽

Shi ◽

...

Keyword(s):

Carbon Emissions ◽

Emission Reduction ◽

Carbon Emission ◽

Carbon Tax ◽

Search Algorithm ◽

Urban Traffic ◽

Low Carbon ◽

Carbon Emission Reduction ◽

Urban Distribution ◽

The Impact

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the basis of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution routes with and without carbon emissions cost are constructed. Fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit.

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Construction of Rural Financial System Based on the Concept of Low Carbon Economy

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.4478 ◽

2014 ◽

Vol 687-691 ◽

pp. 4478-4481 ◽

Cited By ~ 1

Author(s):

Lei Yu

Keyword(s):

Carbon Emissions ◽

Agricultural Production ◽

Influence Factors ◽

Impact Factors ◽

Low Carbon ◽

Low Carbon Economy ◽

Development Path ◽

The Impact ◽

The Empirical Analysis ◽

Carbon Economy

Based on rural as research object, this paper mainly combines the local rural development present situation to measure rural carbon emissions, and with the help of Kaya model respectively. The rural residents' energy consumption and carbon emissions are generated by the impact factors of agricultural production LMDI decomposition. And it established the cointegration model of influence factors of the carbon in the empirical analysis. It seek a accord with the actual situation of rural low carbon economy development path.

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Technology Innovation, Economic Growth and Carbon Emissions in the Context of Carbon Neutrality: Evidence from BRICS

Sustainability ◽

10.3390/su132011138 ◽

2021 ◽

Vol 13 (20) ◽

pp. 11138

Author(s):

Huan Zhang

Keyword(s):

Economic Growth ◽

South Africa ◽

Carbon Emissions ◽

Carbon Emission ◽

Test Results ◽

Stirpat Model ◽

Causality Test ◽

Carbon Neutrality ◽

Brics Countries ◽

The Impact

This study selects the panel data of five BRICS nations (Brazil, Russia, India, China, South Africa) from 1990 to 2019 to empirically explore the impact of technological innovation and economic growth on carbon emissions under the context of carbon neutrality. Granger causality test results signify that there exists a one-way causality from technology patent to carbon emission and from economic growth to carbon emission. We also constructed an improved Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The regression results manifest that technology patents contribute to the realization of carbon emission reduction and carbon neutralization, while the economic growth of emerging economies represented by BRICS countries significantly improves carbon emissions, but every single BRICS country shows differentiated carbon emissions conditions with their economic development stages. The impact of the interaction term on carbon emissions for the five BRICS countries also presents country-specific heterogeneity. Moreover, the Environmental Kuznets Curve (EKC) test results show that only Russia and South Africa have an inverted U-shaped curve relationship between economic growth and carbon emissions, whereas Brazil, India and China have a U-shaped curve relationship. There exists no EKC relationship when considering BRICS nations as a whole. Further robustness tests also verify that the conclusions obtained in this paper are consistent and stable. Finally, the paper puts forward relevant policy suggestions based on the research findings.

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Exploring the Impact of a District Sharing Strategy on Application Capacity and Carbon Emissions for Heating and Cooling with GSHP Systems

Applied Sciences ◽

10.3390/app10165543 ◽

2020 ◽

Vol 10 (16) ◽

pp. 5543

Author(s):

Yi Zhang ◽

He Qi ◽

Yu Zhou ◽

Zhonghua Zhang ◽

Xi Wang

Keyword(s):

Carbon Emissions ◽

Urban Areas ◽

District Heating ◽

Low Carbon ◽

Heating And Cooling ◽

Ground Source ◽

Sharing Strategy ◽

Low Carbon Energy ◽

The Impact

To meet long-term climate change targets, the way that heating and cooling are generated and distributed has to be changed to achieve a supply of affordable, secure and low-carbon energy for all buildings and infrastructures. Among the possible renewable sources of energy, ground source heat pump (GSHP) systems can be an effective low-carbon solution that is compatible with district heating and cooling in urban areas. There are no location restrictions for this technology, and underground energy sources are stable for long-term use. According to a previous study, buildings in urban areas have demonstrated significant spatial heterogeneity in terms of their capacity to demand (C/D) ratio under the application of GSHP due to variations in heating demand and available space. If a spatial sharing strategy can be developed to allow the surplus geothermal capacity to be shared with neighbors, the heating and cooling demands of a greater number of buildings in an area can be satisfied, thus achieving a city with lower carbon emissions. In this study, a GSHP district system model was developed with a specific embedding sharing strategy for the application of GSHP. Two sharing strategies were proposed in this study: (i) Strategy 1 involved individual systems with borehole sharing, and (ii) Strategy 2 was a central district system. Three districts in London were selected to compare the performance of the developed models on the C/D ratio, required borehole number and carbon emissions. According to the comparison analysis, both strategies were able to enhance the GSHP application capacity and increase the savings of carbon emissions. However, the improvement levels were shown to be different. A greater number of building types and a higher variety in building types with larger differentiation in heating and cooling demands can contribute to a better district sharing performance. In addition, it was found that these two sharing strategies were applicable to different kinds of districts.

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The Impact of Economy on Carbon Emissions: An Empirical Study Based on the Synergistic Effect of Gender Factors

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16193723 ◽

2019 ◽

Vol 16 (19) ◽

pp. 3723 ◽

Cited By ~ 1

Author(s):

Shiran Li ◽

Hongbing Deng ◽

Kangkang Zhang

Keyword(s):

Carbon Emissions ◽

Carbon Emission ◽

Negative Impact ◽

Probability Model ◽

National Level ◽

Bayesian Posterior Probability ◽

Model Structure ◽

Surrounding Areas ◽

The Impact ◽

Peripheral Regions

The study of carbon emissions is of great significance for environmental change and economic development. Gender factors is an important perspective to examine the path of carbon emissions. Based on the panel data of 30 provinces in China from 2005 to 2016, this paper selects the optimal spatial measurement model structure by using the Bayesian posterior probability model structure selection method, and studies the impact of economy on carbon emissions and the influence mechanism of gender-based “synergy effect” on carbon emissions from the National level and regional levels. The research shows that the increase of economic promotes the increase of carbon emission in this region, but it has a restraining effect on the carbon emission in the surrounding areas. Moreover, gender factors have a significant positive effect on the region at the National level and the Eastern and Northeastern regions, but not significantly in other ones, and have a significant negative impact on carbon emissions in surrounding areas. Overall, the influence intensity of economy on carbon emission increases with the increase of gender in the National level and the Eastern and Northeastern, while the influence intensity of economy of peripheral regions on carbon emission in Central Region decreases with the increase of gender factors in peripheral regions.

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Driving Factor Analysis of Carbon Emissions in China’s Power Sector for Low-Carbon Economy

Mathematical Problems in Engineering ◽

10.1155/2017/4954217 ◽

2017 ◽

Vol 2017 ◽

pp. 1-10 ◽

Cited By ~ 5

Author(s):

Dan Yan ◽

Yalin Lei ◽

Li Li

Keyword(s):

Power Generation ◽

Carbon Emissions ◽

Electricity Consumption ◽

Least Squares Regression ◽

Low Carbon ◽

Power Sector ◽

Stirpat Model ◽

Coal Consumption ◽

Low Carbon Economy ◽

Generation Structure

The largest percentage of China’s total coal consumption is used for coal-fired power generation, which has resulted in the power sector becoming China’s largest carbon emissions emitter. Most of the previous studies concerning the driving factors of carbon emissions changes lacked considerations of different socioeconomic factors. This study examines the impacts of eight factors from different aspects on carbon emissions within power sector from 1981 to 2013 by using the extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model; in addition, the regression coefficients are effectively determined by a partial least squares regression (PLS) method. The empirical results show that (1) the degree of influence of various factors from strong to weak is urbanization level (UL) > technology level (T1) > population (P) > GDP per capita (A) > line loss (T2) > power generation structure (T3) > energy intensity (T4) > industry structure (IS); (2) economic activity is no longer the most important contributing factor; the strong correlation between electricity consumption and economic growth is weakening; and (3) the coal consumption rate of power generation had the most obvious inhibitory effect, indicating that technological progress is still a vital means of achieving emissions reductions.

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China’s Urbanization and Carbon Emissions Peak

Chinese Journal of Urban and Environmental Studies ◽

10.1142/s2345748115500219 ◽

2015 ◽

Vol 03 (03) ◽

pp. 1550021

Author(s):

Ying CHEN ◽

Liyong LIU ◽

Ying ZHANG

Keyword(s):

Carbon Emissions ◽

Rapid Development ◽

Developed Countries ◽

High Energy ◽

Low Carbon ◽

Economic Activities ◽

The Future ◽

Urbanization Development ◽

Impact Of Urbanization ◽

The Impact

With the increase of urban population around the world, the massive construction of urban infrastructure and residential housing is hard to avoid. Urbanization has become a major factor that influences carbon emissions instead of a secondary factor due to more and more energy consumption and carbon emissions caused by the economic activities related to urbanization. China is in a stage of rapid development of urbanization, and urban construction has a huge potential demand for steel and iron, cement, and other high energy-consuming products, and thus the development of urbanization in the future will bring great challenge to the realization of China’s carbon emissions peak. Through the exploration and the analysis of the mechanism of urbanization’s impact on carbon emissions and the experience of urbanization development in developed countries, this paper summarizes the general evolving rules of carbon emissions peak along with the development of urbanization, defines the present stage of our country and briefly analyzes the arrival of China’s carbon emissions peak in the future. During the process of China’s new-type urbanization development in the future, we should make a scientific planning integrated with low-carbon concept from the demographic, social, economic, spatial structure, technical, and other dimensions, in order to reduce the impact of urbanization development on carbon emissions and realize the carbon emissions peak of China early.

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Impact of Express Delivery Industry’s Development on Transportation Sector’s Carbon Emissions: An Empirical Analysis from China

Sustainability ◽

10.3390/su13168908 ◽

2021 ◽

Vol 13 (16) ◽

pp. 8908

Author(s):

Chang Zhao ◽

Boya Zhou

Keyword(s):

Co2 Emissions ◽

Central Region ◽

Carbon Emissions ◽

National Level ◽

Regional Heterogeneity ◽

Comprehensive Development ◽

Postal Workers ◽

Per Capita ◽

The Impact ◽

Express Delivery

In recent years, China’s express delivery industry has developed rapidly. According to a rough estimate in this paper, carbon emissions caused by express parcel transportation in China account for 1/7 of the transportation sector’s carbon emissions. However, considering the possibility of a scale effect, it is unclear whether the express delivery industry’s development will inevitably lead to more carbon emissions. Therefore, this paper uses the panel data of 30 Chinese provinces from 2008 to 2017 to explore the complex relationship between the express delivery industry’s development and the transportation sector’s carbon emissions, and also conducts regional heterogeneity analysis. The main findings are as follows: (1) There is a significant U-shaped relationship between per capita express delivery amounts and the transportation sector’s CO2 emissions, especially in the Central region. (2) At the national level, the number of per capita postal outlets significantly promotes the transportation sector’s CO2 emissions. (3) The impact caused by the number of per capita postal workers varies regionally. Increasing postal worker numbers in the Western region can significantly reduce carbon emissions, while the result in the Central region is the opposite. (4) The Express Comprehensive Development Index (ECDI) has a significant U-shaped effect on the transportation sector’s carbon emissions at the national and sub-regional level.

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