scholarly journals The Effectiveness of Environmental Spending in China and the Environmental Kuznets Curve

2021 ◽  
Vol 13 (21) ◽  
pp. 12141
Author(s):  
Lin Cui ◽  
Alistair Hunt ◽  
Bruce Morley
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Environmental Kuznets Curve ◽  
Fossil Fuels ◽  
Dynamic Panel Data ◽  
Paris Agreement ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Regional Data ◽  
Dynamic Panel

The aim of this study is to determine whether recent environmental spending in China has enabled it to reduce its emissions of greenhouse gases in the context of an Environmental Kuznets Curve-based model and promote sustainable economic development. Following the Paris Agreement in 2015, there has been a coordinated effort to reduce the consumption of fossil fuels and prevent the excessive warming of the climate. The study uses annual regional data across China and a dynamic panel data approach for estimating an EKC model which includes measures of the increased use of fossil fuels and the spending across China to reduce environmental damage The results suggest that the policies have been effective in controlling emissions across a variety of pollutants and that the EKC tends to hold in China but varies according to the pollutant. This suggests that these policies should be continued and where possible, extended.

scholarly journals Incorporating Forests, Agriculture, and Energy Consumption in the Framework of the Environmental Kuznets Curve: A Dynamic Panel Data Approach

2019 ◽  
Vol 11 (9) ◽  
pp. 2688 ◽  
Author(s):  
Rajan Parajuli ◽  
Omkar Joshi ◽  
Tek Maraseni
Keyword(s):  
Panel Data ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Global Climate ◽  
Dynamic Panel Data ◽  
Kuznets Curve ◽  
Dynamic Panel ◽  
Country Specific

Based on country-specific panel data from 1990–2014 for 86 different countries, we quantify the effects of forests and agricultural land in CO2 emissions, using the framework of the Environmental Kuznets Curve (EKC). The results from the dynamic panel data method reveal that forests are an important determinant in reducing CO2 emissions globally, but the effects vary by region. All else constant, we estimate a 0.11% decline in CO2 emissions per 1% increase in the forest area globally. However, the agricultural sector is found to be a true CO2 emitter. Our study provides additional empirical evidence for the roles of forests in regulating atmospheric CO2, further reinforcing the importance of forests in global climate change policies.

scholarly journals Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2411 ◽  
Author(s):  
Yu Hao ◽  
Zirui Huang ◽  
Haitao Wu
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Capita Gross Domestic Product ◽  
Level Of Economic Development ◽  
The Relationship

Global warming has emerged as a serious threat to humans and sustainable development. China is under increasing pressure to curb its carbon emissions as the world’s largest emitter of carbon dioxide. By combining the Tapio decoupling model and the environmental Kuznets curve (EKC) framework, this paper explores the relationship between China’s carbon emissions and economic growth. Based on panel data of 29 provinces from 2007 to 2016, this paper quantitatively estimates the nexus of carbon emissions and economic development for the whole nation and the decoupling status of individual provinces. There is empirical evidence for the conventional EKC hypothesis, showing that the relationship between carbon emissions and per capita gross domestic product (GDP) is an inverted U shape and that the inflection point will not be attained soon. Moreover, following the estimation results of the Tapio decoupling model, there were significant differences between individual provinces in decoupling status. As a result, differentiated and targeted environmental regulations and policies regarding energy consumption and carbon emissions should be reasonably formulated for different provinces and regions based on the corresponding level of economic development and decoupling status.

Does Trade Liberalization Improve the Environment in China? Evidence Form the Dynamic Panel Data of Chinese Prefecture City

2014 ◽  
Vol 950 ◽  
pp. 175-180
Author(s):  
Li Ming Hong
Keyword(s):  
Panel Data ◽  
Trade Liberalization ◽  
Trade Openness ◽  
Dynamic Panel Data ◽  
Kuznets Curve ◽  
So2 Emissions ◽  
Dynamic Panel ◽  
Capita Emission ◽  
Per Capita ◽  
Environment Index

This paper employ GMM method introduced in [1] to reevaluate the environment effect of trade liberalization based on the dynamic panel data from Chinese Prefecture City during 1995-2010. We found that trade openness improve the environment quality measured by So2 emissions per capita, emission intensity of so2 and soot while no evidence in Soot emissions per capita. Specifically, even though the effect of import on environment is short-term and unsustainable, the export improve the environment more and more over time. Therefore the environment in China benefit from the trade liberalization regime and export-oriented strategy. In addition, this paper found the evidence of environmental Kuznets Curve and pollution haven hypothesis in some environment index.

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