scholarly journals An Aging Giant At The Center of Global Warming: Population Dynamics and Its Effect on CO2 Emissions in China

2022 ◽  
Author(s):  
Hongwei Guo ◽  
Jia Jiang ◽  
Yuanyuan Li ◽  
Mengqing Liu ◽  
Ji Han
Keyword(s):  
Sustainable Development ◽  
Regional Difference ◽  
Industrial Structure ◽  
Population Aging ◽  
Policy Implications ◽  
Eastern Region ◽  
Low Carbon ◽  
Stirpat Model ◽  
Effective Strategies ◽  
Complex Correlation

Abstract Managing the aging crisis and mitigating CO2 emissions are currently two great challenges faced by China. Revealing the complex correlation between aging and CO2, and projecting their future dynamics are fundamentally necessary to inform effective strategies and policies toward a low-carbon and sustainable development in China. In this paper, we quantitatively investigated the impacts of population aging, economy, and energy intensity on CO2 emissions through a STIRPAT model based on balanced provincial panel data from 1995-2019, and employed a cohort model and scenario analysis to project the demographic change and CO2 emissions till 2050. It is found that CO2 emissions in China has witnessed a significant growth during 1995-2019, and will exhibit an inverted U-shaped growth till 2050 with its peak appears between 2030-2040. Every 1% increase of aging will exert a 0.69% emission of CO2 in China. However, a big regional difference was also detected as aging contributed to CO2 reduction in the eastern region, but stimulated CO2 emissions in the central and western regions. Policy implications for achieving a low-carbon and aging-oriented sustainable development include the integration of aging into the decision-making of industrial structure upgrading and CO2 emission reduction in both national and region levels, the promotion of the further transition to low-carbon consumption and green products in the eastern region, and strengthening the deep fusion of aging-oriented industries with local resource and environmental endowment in the central and western regions such as the development of eco-agriculture and green pension industries.

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

2018 ◽  
Vol 10 (7) ◽  
pp. 2458 ◽  
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.

scholarly journals The Dynamic Evolution of the Ecological Footprint and Ecological Capacity of Qinghai Province

2020 ◽  
Vol 12 (7) ◽  
pp. 3065 ◽  
Author(s):  
Jing Guo ◽  
Jun Ren ◽  
Xiaotao Huang ◽  
Guifang He ◽  
Yan Shi ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Environmental Sustainability ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Ecological Engineering ◽  
Eastern Region ◽  
Low Carbon ◽  
Gis Technology ◽  
Qinghai Province ◽  
Per Capita

Based on the ecological footprint (EF) model, the dynamic changes in the per capita EF and per capita ecological carrying capacity (EC) in Qinghai Province from 2007 to 2017 were quantitatively analysed. The grey GM(1,1) prediction model was used to predict the per capita EF, per capita EC, and EF of ten thousand yuan of GDP. Additionally, the spatial change characteristics of the sustainable development status of the study area in four time periods were analysed using GIS technology. The results showed the following. (1) In the 11-year study period, Qinghai Province’s EF per capita grew gradually, increasing from 2.3027 hm2 in 2007 to 2.9837 hm2 in 2017. (2) The EC per capita in Qinghai Province remained a slight linear upward trend. (3) The environmental sustainability in Qinghai Province deteriorated over time. (4) According to the spatial characteristics, the overall sustainable development state changed markedly in the eastern region but was stable in the central and western regions. This paper proposes some countermeasures and suggestions to help Qinghai Province work towards sustainable development, such as controlling the population, adjusting the industrial structure, developing a low-carbon circular economy, and implementing ecological engineering.

scholarly journals Construction of China’s low-carbon competitiveness evaluation system

2020 ◽  
Vol 12 (1) ◽  
pp. 74-91
Author(s):  
Yongjing Wang ◽  
Qingxin Lan ◽  
Feng Jiang ◽  
Chaofan Chen
Keyword(s):  
Evaluation System ◽  
Industrial Structure ◽  
Regional Cooperation ◽  
Evaluation Index System ◽  
Eastern Region ◽  
Low Carbon ◽  
Barrier Method ◽  
Content Type ◽  
Leading Role ◽  
Progression Model

Purpose As the contradiction between economic development, resource and environment has become increasingly prominent, low-carbon competitiveness has received worldwide focus. This study aims to examine low-carbon competitiveness in 31 provinces (cities and regions) of China. Design/methodology/approach An evaluation index system for low-carbon competitiveness in China has been constructed, which is composed of 25 economic, social, environmental and policy indicators. To study the state of low-carbon competitiveness and resistance to China’ development of low-carbon competitiveness, this study uses a combination of the catastrophe progression model, the spatial autocorrelation model and the barrier method. Findings China’ low-carbon competitiveness gradually decreases from coastal to inland areas: the Tibet and Ningxia Hui autonomous regions are the least competitive regions, while the Shandong and Jiangsu provinces are the most competitive areas. The spatial correlation of the 31 provinces’ low-carbon competitiveness is very low and lacks regional cooperation. This study finds that the proportion of a region’ wetland area, the proportion of tertiary industries represented in its GDP and afforestation areas are the main factors in the development of low-carbon competitiveness. China should become the leader of carbon competitiveness by playing the leading role in the Eastern Region, optimizing the industrial structure, improving government supervision and strengthening environmental protection. Originality/value The paper provides a quantitative reference for evaluating China’ low-carbon competitiveness, which is beneficial for environmental policymaking. In addition, the evaluation and analysis methods offer relevant implications for developing countries.

Research on the Sustainable Development of Engineering Contracting Enterprises under the Low-Carbon’s Background in China

2014 ◽  
Vol 638-640 ◽  
pp. 2428-2431
Author(s):  
Yan Yan Wang ◽  
Hong Ren
Keyword(s):  
Sustainable Development ◽  
Industrial Structure ◽  
Operation Mode ◽  
Low Carbon ◽  
Diversification Strategy ◽  
Management Mechanism ◽  
Technical Science ◽  
The Sustainable Development ◽  
Competition Level ◽  
Mechanism Innovation

The engineering contracting enterprises have the following development obstacles including the lower profit level, malignant competition intensified, the lower financing level and the sole industrial structure. Along with the stern challenge of the climatic change in the whole world, the enterprise must apply the low-carbon thinking to reconstruct operation mode. They should use the diversification strategy to widen the enterprise’s competition channel, strengthen the research and development of low-carbon technology to promote the competition level and apply the measures of the high-quality personnel training and the technical science and technology to impetus the management mechanism innovation. These measures provide the highly effective realization path for the enterprise’s sustainable development.

Study on Creative Industries Correlativity for Sustainable Economy

2014 ◽  
Vol 962-965 ◽  
pp. 2386-2389
Author(s):  
Da Deng ◽  
Yang Wang
Keyword(s):  
Sustainable Development ◽  
Development Strategy ◽  
High Efficiency ◽  
Industrial Structure ◽  
Creative Industries ◽  
Low Carbon ◽  
The Sustainable Development ◽  
Low Carbon Economy ◽  
Large Cities ◽  
Economic Growth Mode

The creative industries are playing an increasingly significant role in the sustainable development of various countries, especially large cities all around the world for its low carbon and high efficiency. On the basis of summarizing the research status of creative industries, this paper focuses on analyzing the particularity of its relevance mode. This paper points out that the creative industries are standing at the top of all traditional industries, and its special industries correlativity mode widely exists inside this industry, between this industry and other industries, among industries in different regions as well as between this industry and traditional industries. The relevance of creative industries shall be utilized to give full play to its promoting function on the transformation of economic growth mode, the upgrading of industrial structure and other aspects, so as to serve for the low carbon economy and sustainable development strategy.

scholarly journals Analysis of CO2 Drivers and Emissions Forecast in a Typical Industry-Oriented County: Changxing County, China

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1212 ◽  
Author(s):  
Yao Qian ◽  
Lang Sun ◽  
Quanyi Qiu ◽  
Lina Tang ◽  
Xiaoqi Shang ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Industrial Structure ◽  
Ghg Emissions ◽  
Energy Structure ◽  
Low Carbon ◽  
Stirpat Model ◽  
Carbon Reduction ◽  
Economic Output ◽  
Low Carbon Development ◽  
And Control

Decomposing main drivers of CO2 emissions and predicting the trend of it are the key to promoting low-carbon development for coping with climate change based on controlling GHG emissions. Here, we decomposed six drivers of CO2 emissions in Changxing County using the Logarithmic Mean Divisia Index (LMDI) method. We then constructed a model for CO2 emissions prediction based on a revised version of the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and used it to simulate energy-related CO2 emissions in five scenarios. Results show that: (1) From 2010 to 2017, the economic output effect was a significant, direct, dominant, and long-term driver of increasing CO2 emissions; (2) The STIRPAT model predicted that energy structure will be the decisive factor restricting total CO2 emissions from 2018 to 2035; (3) Low-carbon development in the electric power sector is the best strategy for Changxing to achieve low-carbon development. Under the tested scenarios, Changxing will likely reach peak total CO2 emissions (17.95 million tons) by 2030. Measures focused on optimizing the overall industrial structure, adjusting the internal industry sector, and optimizing the energy structure can help industry-oriented counties achieve targeted carbon reduction and control, while simultaneously achieving rapid economic development.

scholarly journals Air Quality And Health Benefits of Increasing Carbon Mitigation Tech-Innovation In China

2021 ◽  
Author(s):  
Shunlin Jin ◽  
Weidong Wang ◽  
Dragana Ostic ◽  
Caijing Zhang ◽  
Na Lu ◽  
...  
Keyword(s):  
Air Quality ◽  
Industrial Structure ◽  
Health Benefits ◽  
Low Carbon ◽  
Carbon Mitigation ◽  
Short Term ◽  
Stirpat Model ◽  
Haze Pollution ◽  
Patent Applications

Abstract Most studies on the short-term local benefits of carbon mitigation technologies on air quality improvement and health focus on specific technologies such as biofuels or Carbon sequestration technologies, while ignoring the overall role of the growing scale of low-carbon technologies, and the relevant empirical studies are particularly lacking. Based on STIRPAT model and EKC hypothesis, this paper takes 30 provinces of China from 2004 to 2016 as research samples, measures the carbon mitigation tech-innovation(CMTI) with Y02 low carbon patent applications, and constructs a econometric model to empirically analyze the effect of carbon mitigation tech-innovation in response to climate change on the inhibition of haze pollution. It draws on relevant studies to quantify air quality and health benefits of carbon mitigation tech-innovation. Research shows that a 1% increase in the number of low-carbon patent applications can reduce haze pollution by 0.066%. According to this estimate, to 2029,China's carbon mitigation tech-innovation could reduce PM2.5 concentration to 15µg/m3 preventing 5.597million premature deaths. The research further found that carbon mitigation tech-innovation can also indirectly inhibit haze pollution by triggering more systematic economic structure changes such as energy and industrial structure. Additionally, the study found that the role of grey tech-innovation(GT) related to improving the efficiency of fossil energy is stronger than that of clean technology(CT) related to the use of renewable energy. This suggests that for a large economy such as China, where coal is still the dominant source of energy consumption, the short-term local benefits of improving air quality and health through the use of grey tech-innovation to improve energy and industrial structure are still important to balance the cost of carbon mitigation.

scholarly journals Evaluation of the Effects of the Belt and Road Initiative on the Unified Economic and Environmental Efficiency of Transportation Infrastructure in China Based on Range-Adjusted Measure Model and Difference in Difference Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Yijiao Wang
Keyword(s):  
Sustainable Development ◽  
Large Scale ◽  
Industrial Structure ◽  
Environmental Efficiency ◽  
Transportation Infrastructure ◽  
Eastern Region ◽  
Belt And Road Initiative ◽  
Positive Effects ◽  
Belt And Road ◽  
The Belt And Road

The Belt and Road Initiative has brought new opportunities for countries along the routes to develop their transportation infrastructure. Through large-scale transportation infrastructure construction, these countries enhanced the Belt and Road cooperation with each other, which further facilitates the rapid development of their own economy, but whether this can promote the sustainable development of their own environment, relevant research is still lacking. In this paper, China is taken as the study subject to evaluate the comprehensive effects that the Belt and Road Initiative exerts on the economy and environment through improving transportation infrastructure. In the study, RAM indicators were first established to measure the unified economic and environmental efficiency of transportation infrastructure, a DID model was then built to study the effects of the Initiative on the unified efficiency, and mediation models were finally created to discuss the ways in which the Belt and Road Initiative can improve the unified economic and environmental efficiency of transportation infrastructure through transformation and upgrade of industrial structure. The study result shows that the Belt and Road Initiative can significantly promote the improvement of the unified economic and environmental efficiency of the national transportation infrastructure, but the result is regionally heterogeneous. The Initiative has positive effects in improving the unified efficiency in eastern region but has no effect in the central and western regions. Although the Initiative can significantly enhance the efficiency through transforming and upgrading the industrial structure, the industrial structure rationalization plays a primary positive role. This paper provides the empirical evidences to evaluate the implementation effects of the Initiative in the transportation infrastructure sector and verifies that countries along the routes can achieve sustainable development through large-scale transportation infrastructure construction under the Belt and Road Initiative.

Assessing China's Digital Economy and Environmental Sustainability: A Regional Low-Carbon Perspective

2020 ◽  
Author(s):  
Xiuting Piao ◽  
Xuefeng Cui
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Environmental Sustainability ◽  
Economic Transformation ◽  
Digital Economy ◽  
Eastern Region ◽  
Low Carbon ◽  
Relative Contribution ◽  
The Impact

<p>Digital economy is becoming a new engine of China's economic transformation, leading a new path of green and low-carbon development. However, the positive and negative effects of the digital economy on the environment have also been widely debated. The energy consumption of China's digital economy industry is still increasing, but it has received little attention. This paper studies the emerging links between digital economy and low-carbon sustainable development. Understanding the impact of the digital economy on carbon emissions is critical to addressing the challenges of climate change in the digital age.</p><p>By integrating input-output methods, this paper establishes a comprehensive framework to evaluate China's digital economy and environmental sustainable development. It can not only evaluate the carbon emissions in various sub-industries of the digital economy, but also reveal its formation and change mechanism by determining its source industries, transfer paths and economic drivers. Using STIRPAT model and provincial panel data from 2001 to 2016, this paper investigates the impact of the digital economy industry on carbon emissions at the national and regional levels. In addition, assess the carbon footprint of the entire digital industry, including the relative contribution of major infrastructure, core and integration components of the digital economy to carbon emissions. The results show that the digital economy helps reduce China's carbon emissions. The digital economy in the central region has a greater impact on carbon emissions than the eastern region, while the western region has unconspicuous impact. With the emergence of the digital economy in the energy system, energy consumption can be reduced and energy efficiency can be improved, which can help reduce carbon emissions in the energy sector, and contribute to the sector's carbon emission reduction goal of about 3%. The positive and negative impacts of the digital economy on the environment have resulted in an inverted U-shaped relationship between the digital economy and carbon emissions. The inflection point of the digital economy is slightly higher than the medium level, which means that carbon emissions may increase further with the development of the digital economy at this stage. Without control, the relative contribution of the digital economy to carbon emissions may exceed 10% by 2030. These findings not only help to advance the existing literature, but also deserve special attention from policy makers.</p>

Sustainable Development Analysis of Resources Based City Based on Ecological Footprint Model: Shandong Dongying City

2014 ◽  
Vol 1010-1012 ◽  
pp. 1297-1300
Author(s):  
Yan Yan Kang ◽  
Jia Lin Wang ◽  
Xiao Dan Yu
Keyword(s):  
Sustainable Development ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Low Carbon ◽  
The Sustainable Development ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Life Pattern ◽  
Development Analysis

Applying ecological footprint model to calculate the ecological footprint and ecological carrying capacity of Dongying ,a typical oil city between the year 2005-2009,the results showed that ecological footprint was deficit in recent years, and the trend had been exacerbated. The economic development of Dongying was in an ecologically unsustainable condition. Measures are put forward to facilitate the sustainable development in two aspects: the reduction of the ecological footprint demand such as industrial structure adjustment, low carbon industry system construction and green life pattern formation; the increase of ecological carrying capacity supply, such as rationally utilizing land and making full use of marine resources.

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