scholarly journals Low-carbon Innovation, Economic Growth and CO2 Emission: Evidence from a Dynamic Spatial Panel Approach in China

2021 ◽  
Author(s):  
Caijiang Zhang ◽  
Yu Zhou ◽  
Zhangwen Li
Keyword(s):  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Ekc Hypothesis ◽  
Short Term ◽  
Spatial Panel ◽  
Central Regions ◽  
Dynamic Spatial Durbin Model

Abstract Low-carbon technology innovation plays an essential role in carbon emission reduction worldwide. This study investigates how low-carbon innovation affects carbon emissions by the Dynamic Spatial Durbin Model based on the panel data of 30 Chinses provinces from 2007 to 2017. The empirical results show that: Firstly, low-carbon innovation decreases carbon emissions from local and neighbor, the decreasing effects are significant mainly in the short term. Secondly, the results of the heterogeneity test indicate that the weakening effect of low-carbon innovation in central regions is consistent with the national results. The weakening effects are shown in long-term indirect and short-term direct in eastern regions. Thirdly, there is an inverted-U curve between economic development and carbon emissions, confirming the environmental Kuznets curve (EKC) hypothesis. However, the inflection point is insurmountable under the current level of technology in China. Finally, The results also show the “Pollution Paradise” effect.

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.

scholarly journals Analyzing the Impact of Energy, Export Variety, and FDI on Environmental Degradation in the Context of Environmental Kuznets Curve Hypothesis: A Case Study of India

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1076 ◽  
Author(s):  
Tijjani Adamu ◽  
Ihtisham Haq ◽  
Muhammad Shafiq
Keyword(s):  
Energy Consumption ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Export Variety ◽  
Short Run ◽  
The Impact

The economic size of the Indian economy and its status as one of the major global emitters of carbon emissions makes the country a good place to study the determinants of environmental degradation in India. The study aims at analyzing the impact of energy, export variety, and foreign direct investment (FDI) on environmental degradation in India in the context of environmental Kuznets curve (EKC) hypothesis. The long run relationship was found between variables of the study through a cointegration test, whereas long run estimates were obtained through cointegration and dynamic ordinary least squares (DOLS). Results of the study reveal that energy consumption, export variety, FDI, and income positively contributed to environmental degradation in India. Results also unveil that the EKC hypothesis does not exist in India. Causality analyses document unidirectional causality from income and FDI to environmental degradation, and bidirectional causality was witnessed between energy consumption and environmental degradation and between export variety and environmental degradation in the long run. The long run and the short run causality highlight that India has to forego the short run economic growth in order to improve its environmental quality and reduce global carbon emissions; however, it will not affect its long term economic development process.

scholarly journals Environmental Kuznets curve (EKC): Empirical relationship between economic growth, energy consumption, and CO2 emissions: Evidence from 3 developed countries

2020 ◽  
pp. 4-4 ◽  
Author(s):  
Emrah Beşe ◽  
Salih Kalayci
Keyword(s):  
United Kingdom ◽  
Energy Consumption ◽  
Environmental Kuznets Curve ◽  
Developed Countries ◽  
Cointegration Test ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
The United Kingdom ◽  
Johansen Cointegration Test

In this study, the environmental Kuznets curve (EKC) hypothesis is examined for 3 developed countries, which are Denmark, the United Kingdom, and Spain, for the period between 1960 and 2014. The EKC hypothesis is examined under 2 nexuses which are GDP, CO2 and energy consumption, and GDP, CO2, energy consumption and the square of GDP. Causal and long-term relationships between GDP, CO2, and energy consumption are examined for these 3 developed countries using the ARDL bounds test, the Toda and Yamamoto Granger non-causality test, the VAR Granger Causality/Block Exogeneity Wald test, and the Johansen cointegration test. Long-term relationships between GDP, CO2, energy consumption, and the square of GDP are examined by the Johansen cointegration test. The EKC hypothesis is not confirmed for Denmark, the United Kingdom, and Spain, and the neutrality hypothesis is confirmed for these 3 developed countries. Unidirectional causality running from energy consumption to CO2 is found for Denmark, and unidirectional causality running from CO2 to energy consumption is found for the United Kingdom.

scholarly journals Perkembangan Teknologi Informasi, TFP, dan Emisi Gas CO2 di Indonesia

2021 ◽  
Vol 21 (1) ◽  
pp. 31-40
Author(s):  
Ganiko Moddilani ◽  
Irwandi Irwandi
Keyword(s):  
Information Technology ◽  
Kuznets Curve ◽  
Factor Productivity ◽  
Ekc Hypothesis ◽  
Short Term ◽  
Gas Emissions ◽  
Co2 Gas ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

This paper examines the development of information technology, total factor productivity (TFP), and urbanization of CO2 gas emissions in Indonesia from 1975–2014. To discuss empirically, this study uses the Autoregressive Distributed Lag (ARDL) model. There are several results in this study. Firstly, the TFP coefficient value in the short term is lower than the long term, so that the Enviromental Kuznets Curve (EKC) hypothesis is not proven. This is one of the causes of rising CO2 gas emissions. Secondly, information technology has a significant impact on the increase of CO2 gas emissions. Thirdly, Indonesia’s urbanization has reduced CO2 gas emissions. ................................................ Penelitian ini menjelaskan pengaruh perkembangan teknologi informasi, total faktor produktivitas (TFP), dan urbanisasi terhadap emisi gas CO2 di Indonesia dari tahun 1975–2014. Untuk menguji secara empiris, penelitian ini menggunakan model Autoregressive Distributed Lag (ARDL). Ada beberapa hasil dalam penelitian ini. Pertama, koefisien nilai TFP pada jangka pendek lebih rendah daripada nilai koefisiennya pada jangka panjang sehingga penelitian ini menunjukkan bahwa hipotesis Enviromental Kuznets Curve (EKC) tidak terbukti. Hal ini menjadi salah satu penyebab naiknya emisi gas CO2. Kedua, teknologi informasi memiliki dampak yang signifikan terhadap naiknya emisi gas CO2. Ketiga, urbanisasi di Indonesia mengurangi emisi gas CO2.

scholarly journals An empirical examination of the Environmental Kuznets Curve hypothesis for carbon dioxide emissions in Ghana: an ARDL approach

2016 ◽  
Vol 4 (4) ◽  
pp. 1-12 ◽  
Author(s):  
Daniel Kwabena Twerefou ◽  
Frank Adusah-Poku ◽  
William Bekoe
Keyword(s):  
Development Strategy ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Ekc Hypothesis ◽  
Bounds Testing ◽  
Empirical Examination ◽  
Per Capita

AbstractThe Environmental Kuznets Curve (EKC) hypothesis postulates an inverted U-shaped relationship between different pollutants and economic growth. In Ghana, as in many other developing countries, there exist scanty studies that confirm or otherwise the EKC hypothesis with regards to CO2 emissions as well as the factors that drive CO2 emissions. This work aims to bridge this knowledge gap by addressing these two major questions using data from 1970 to 2010 and the Auto Regressive Distributed Lag (ARDL) Bounds Testing approach. The results rather suggest a U-shaped relationship between per capita GDP and CO2 emissions per capita indicating the non-existence of the EKC hypothesis for CO2 in Ghana. This implies that further increase in per capita Gross Domestic Product (GDP) will only be associated with increase in CO2 emissions as the income per capita turning point of about $624 at constant 2000 prices occurred between 1996 and 1997. Furthermore, our results reveal energy consumption and trade openness are positive long run drivers of CO2 emissions. It is therefore recommended that the enhancement of trade liberalization policies should ensure the use of cleaner technologies and products while investment in cleaner energy alternatives could help reduce CO2 emissions. We also recommend the implementation of the Low Carbon Development Strategy which integrates development and climate change mitigation actions.

Study on the Impact of Economic Growth and Financial Development on the Environment in China

2015 ◽  
Vol 3 (4) ◽  
pp. 334-347 ◽  
Author(s):  
Jin Yang ◽  
Yu Zhang ◽  
Yanmei Meng
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Environmental Kuznets Curve ◽  
Econometric Models ◽  
Moderating Effect ◽  
Kuznets Curve ◽  
Short Term ◽  
Financial Efficiency ◽  
The Impact

AbstractThis paper makes a theoretical and empirical study on the impact of economic growth and financial development on the environment in China. Through the establishment of econometric models, some conclusions have been found as follows: Firstly, there’s Environmental Kuznets Curve in China in the long and short term; Secondly, China’s financial interrelations ratio and financial efficiency can alleviate environmental pollution, and in the long term financial interrelations ratio has a stronger effect, instead, in the short term financial efficiency has a stronger effect; Moreover, in the long term financial interrelations ratio and financial efficiency have a positive moderating effect that can weaken the impact of economic growth on the environment, whereas financial interrelations ratio’s moderating effect is stronger; Finally, this article makes conclusion and inspiration for the improvement of China’s environmental quality.

scholarly journals Revisiting the Environmental Kuznets Curve Hypothesis: A Case of Central Europe

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3415
Author(s):  
Bartosz Jóźwik ◽  
Antonina-Victoria Gavryshkiv ◽  
Phouphet Kyophilavong ◽  
Lech Euzebiusz Gruszecki
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Central Europe ◽  
Environmental Kuznets Curve ◽  
European Countries ◽  
Kuznets Curve ◽  
The European Union ◽  
Ekc Hypothesis ◽  
Central European ◽  
Long Run

The rapid economic growth observed in Central European countries in the last thirty years has been the result of profound political changes and economic liberalization. This growth is partly connected with reducing carbon dioxide (CO2) emissions. However, the problem of CO2 emissions seems to remain unresolved. The aim of this paper is to test whether the Environmental Kuznets Curve (EKC) hypothesis holds true for Central European countries in an annual sample data that covers 1995–2016 in most countries. We examine cointegration by applying the Autoregressive Distributed Lag bound testing. This is the first study examining the relationship between CO2 emissions and economic growth in individual Central European countries from a long-run perspective, which allows the results to be compared. We confirmed the cointegration, but our estimates confirmed the EKC hypothesis only in Poland. It should also be noted that in all nine countries, energy consumption leads to increased CO2 emissions. The long-run elasticity ranges between 1.5 in Bulgaria and 2.0 in Croatia. We observed exceptionally low long-run elasticity in Estonia (0.49). Our findings suggest that to solve the environmental degradation problem in Central Europe, it is necessary to individualize the policies implemented in the European Union.

Technology Innovation Based on Environmental Kuznets Curve Hypothesis

2012 ◽  
Vol 573-574 ◽  
pp. 831-835 ◽  
Author(s):  
Yu Wei He ◽  
Jin Rong Jiang
Keyword(s):  
Energy Consumption ◽  
Environmental Kuznets Curve ◽  
Technology Innovation ◽  
Added Value ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Environmental Kuznets Curve Hypothesis ◽  
The Relationship ◽  
Carbon Economy

Low-carbon economy was an inevitable choice in response to climate warming. With the deep analysis of the environmental Kuznets curve (EKC), this paper used two models to analyze the relationship between the growth of a country’s economic and the quantity of pollutants produced in the process. The empirical study compare the two groups of samples, which described energy consumption per unit of industrial added value, each group contains five symbolic provinces or municipalities in coastal and western areas. The outcome proved the positive significance of technology innovation.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.

scholarly journals A New Insight of the Existence of the Environmental Kuznets Curve in Indonesia

2020 ◽  
Vol 202 ◽  
pp. 03023
Author(s):  
Andryan Setyadharma ◽  
Shanty Oktavilia ◽  
Yayu Tika Atmadani ◽  
Indah Fajarini Sri Wahyuningrum
Keyword(s):  
Natural Resources ◽  
Environmental Kuznets Curve ◽  
Positive Impact ◽  
The Body ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Economic Activities ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

Natural resources play as vital inputs for economic activities, mainly in developing countries. However, massive use of natural resources puts more pressure on the environment and as the result, the quality of environment is deteriorating. The body of economic literature have shown that income is associated with harm to the natural environment. The relationship between income and degradation of the environment is known as the Environmental Kuznets Curve (EKC) hypothesis. Previous studies of EKC hypothesis in Indonesia are still limited and the results are inconclusive due to different results. Therefore, the aim of this study is to present a new insight of the existence of EKC in Indonesia using different method. Most of previous studies of EKC in Indonesia employ Autoregressive distributed lag (ARDL) method, while this study uses data panel regression method from 33 provinces in Indonesia during 2012 to 2018. The result confirms the existence of EKC hypothesis in Indonesia. This study also estimates the turning point, a level of income that starts give positive impact on the environment. This result gives new insight to the existing literature. The policy implication for policymakers are straightforward, i.e. improve wealth of the society through higher income for the protection of the environment.

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