scholarly journals Understanding the Driving Patterns of the Carbon Emissions in Transport Sector in China: A Panel Data Analysis and Zoning Effect

2018 ◽  
Author(s):  
Danting Lin ◽  
Rongzu Qiu ◽  
Xisheng Hu ◽  
Jiankai Wang ◽  
Lanyi Zhang ◽  
...  
Keyword(s):  
Panel Data ◽  
Carbon Emissions ◽  
Inner Mongolia ◽  
Carbon Emission ◽  
Driving Forces ◽  
Panel Data Analysis ◽  
Transport Sector ◽  
Significant Variable ◽  
Provincial Level ◽  
Per Capita

China’s transportation industry has made rapid progress, which has led to a mass of carbon emissions. However, it is still unclear how the carbon emission from transport sector is punctuated by shifts in underlying drivers. This paper aims to examine the process of China’s carbon emissions from transport sector as well as its major driving forces during the period of 2000 to 2015 at the provincial level. We firstly estimate the carbon emissions from transport sector at the provincial level based on the fuel and electricity consumption using a top-down method. We find that the carbon emission per capita is steadily increasing across the nation, especially in the provinces of Chongqing and Inner Mongolia. However, the carbon emission intensity is decreasing in most provinces of China, except in Yunnan, Qinghai, Chongqing, Zhejiang, Heilongjiang, Jilin, Inner Mongolia, Henan and Anhui. We then quantify the effect of socio-economic factors and their regional variations on the carbon emissions using panel data model. The results show that the development of secondary industry is the most significant variable in both the entire nation level and the regional level, while the effects of the other variables vary across regions. Among these factors, population density is the main motivator of the increasing carbon emissions per capita from transport sector for both the whole nation and the western region, whereas the consumption level per capita of residents and the development of tertiary industry are the primary drivers of per capita carbon emissions for the eastern and central region.

FINANCIAL DEVELOPMENT AND CARBON EMISSIONS IN CHINESE PROVINCES: A SPATIAL PANEL DATA ANALYSIS

2018 ◽  
Vol 63 (02) ◽  
pp. 447-464 ◽  
Author(s):  
LING XIONG ◽  
SHAOZHOU QI
Keyword(s):  
Panel Data ◽  
Financial Development ◽  
Carbon Emissions ◽  
Panel Data Analysis ◽  
Spillover Effects ◽  
Stirpat Model ◽  
Spatial Panel ◽  
Green Finance ◽  
Spatial Panel Data ◽  
Per Capita

Using the panel data of 30 provinces in China between 1997 and 2011, we employed the extended STIRPAT model and spatial panel econometrics methods to investigate the relationship between financial development and carbon emissions and test the influence of financial development as well as other factors on provincial carbon emissions per capita among Chinese provinces. The estimation results show that: (i) spatial spillover effects play a role in provincial carbon emissions in China; and (ii) the sum of technical effect and structure effect of financial development surpass its’ sum of direct effect and wealth effect in China, which suggests that financial development reduces carbon emissions per capita. China should pay more attention to the integration of green finance policy and environmental regulation, and establish appropriate mechanisms to strengthen inter-provincial interaction and coordinated development.

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.

Research on the Relationship between Economic Growth, Environmental Governance Investment and Carbon Emission--Based on the Time Series Data from 2000 to 2019

2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Environmental Governance ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita ◽  
The Relationship

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.

scholarly journals Health Care Expenditure and GDP in African Countries: Evidence from Semiparametric Estimation with Panel Data

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Zhike Lv ◽  
Huiming Zhu
Keyword(s):  
Health Care ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Health Care Expenditure ◽  
Large Body ◽  
Developed Countries ◽  
Infant Mortality Rate ◽  
African Countries ◽  
Per Capita ◽  
The Relationship

A large body of literature studies on the relationship between health care expenditure (HCE) and GDP have been analyzed using data intensively from developed countries, but little is known for other regions. This paper considers a semiparametric panel data analysis for the study of the relationship between per capita HCE and per capita GDP for 42 African countries over the period 1995–2009. We found that infant mortality rate per 1,000 live births has a negative effect on per capita HCE, while the proportion of the population aged 65 is statistically insignificant in African countries. Furthermore, we found that the income elasticity is not constant but varies with income level, and health care is a necessity rather than a luxury for African countries.

scholarly journals Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis

2014 ◽  
Vol 6 (5) ◽  
pp. 2584-2600 ◽  
Author(s):  
Jianjun Wang ◽  
Li Li ◽  
Fan Zhang ◽  
Qiannan Xu
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Carbon Emissions ◽  
Panel Data Analysis ◽  
Abatement Cost
Sign in / Sign up

Export Citation Format

Share Document