Impact of economic and financial development on carbon emissions: evidence from emerging Asian economies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Surendra Singh Rajpurohit ◽  
Rajesh Sharma

PurposeThis paper not only aims to validate the environment Kuznets curve concerning five Asian economies but also attempts to analyze the impact of some additional factors like financial development, energy consumption and foreign direct investment (FDI) on carbon emissions.Design/methodology/approachThis paper applies pooled mean group approach on the variables of a panel of five Asian economies namely India, Pakistan, Bangladesh, Sri Lanka and Malaysia for a period of 35 years from 1980 to 2014.FindingsThis study finds that while moderate economic growth as well as moderate financial development increase carbon emissions, accelerated or exponential economic growth as well as exponential financial development eventually reduce the level of carbon emissions. Energy consumption was found to have a direct and significant relationship with carbon emissions. FDI inflows when analyzed on a stand-alone basis were observed to have an inverse relationship with carbon emissions, while FDI inflows when clubbed with financial development were observed to have a direct relationship with carbon emissions.Practical implicationsThe findings of this study, which validate the environmental Kuznets curve, suggest striving for higher economic growth, even if it causes increased carbon emissions to begin with, as the effects on carbon emissions would eventually get reversed when the economic growth accelerates at a higher rate. This study also suggests the appropriate routing of FDI through a mature and developed financial sector to leverage its impact on the environment in a positive way.Originality/valueTo the best of the knowledge of the authors of this paper, there has not been any research carried out so far, which has analyzed the impact of the combination of variables selected for this study concerning the five Asian economies covered in this paper.

2015 ◽  
Vol 26 (5) ◽  
pp. 666-682 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri ◽  
Geetilaxmi Mohapatra

Purpose – The purpose of this paper is to investigate the impact of financial development, economic growth and energy consumption on environment degradation for Indian economy by using the time series data for the period 1971-2011. Design/methodology/approach – The stationary properties of the variables are checked by ADF, DF-GLS, PP and Ng-Perron unit root tests. The long-run relationship is examined by implementing the Autoregressive Distributed Lag bounds testing approach to co-integration and error correction method (ECM) is applied to examine the short-run dynamics. The direction of the causality is checked by VECM framework and variance decomposition is used to predict exogenous shocks of the variables. Findings – The empirical evidence confirms the existence of long-run relationship among the variables. Financial development appears to increase environmental degradation in India. The main contributors to environmental degradation are: economic growth, energy consumption financial development and urbanization. The results also lend support to the existence of environmental Kuznets curves for Indian economy. Research limitations/implications – The present study suggests that environmental degradation can be reduced at the cost of economic growth or energy efficient technologies should be encouraged to enhance the domestic product with the help of financial sector by improving environmental friendly technologies from advanced economies. Originality/value – This paper proposes to make a contribution to the existing literature through examining the relationship between financial development and environmental degradation in Indian economy during 1971-2011 by employing modern econometric techniques.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chandrashekar Raghutla ◽  
Krishna Reddy Chittedi

PurposeThe study investigates the impact of financial development, urban population, technology and energy consumption on economic output and carbon emissions in Brazil, Russia, India, China and South Africa (BRICS) economies.Design/methodology/approachThe study uses Johansen Fisher type panel cointegration, fully modified ordinary least square and heterogeneous panel causality tests to examine long-run, long-run elasticities and short-run relationships. For conducting the tests, the study selected five emerging economies, i.e. Brazil, Russia, India, China and South Africa and used balanced panel data for the period between 1998 and 2016.FindingsThe empirical results confirm the presence of a long-run cointegration relationship among the variables. We find that financial development, technology and energy consumption have a considerable positive impact on economic output. Also, financial development, urban population and technology help reduce carbon (CO2) emissions and ensure an improved environmental quality in the long run in the five emerging economies. In the short run, a bidirectional causal relationship is noticed between financial development and CO2 emissions.Practical implicationsClean energy, technological development and investments by public–private partnerships are required in the public and private sectors to reduce carbon emissions. This not only ensures improved environmental quality but also increases energy efficiency, thereby reducing dependency on traditional energy consumption.Originality/valueAs its contribution to the extant literature, the study examines the impact of financial development, energy consumption, technology, urbanization, economic output and carbon emissions in BRICS economies. The findings of the research suggest both the governments and policymakers of these five emerging economies to develop more effective policies toward bolstering the financial development and increasing the use of technology. These, in turn, ensure sustainable development with low CO2 emission in the future and, eventually, pushing those five emerging market economies toward sustainable economic growth.


2021 ◽  
Vol 9 ◽  
Author(s):  
Muhammad Imran Khan ◽  
Muhammad Kamran Khan ◽  
Vishal Dagar ◽  
Bahareh Oryani ◽  
Syeda Saba Akbar ◽  
...  

This study intends to examine the validity of the Environmental Kuznets Curve (EKC) in the United States of America (USA), considering the vital role of macroeconomic variables, such as economic growth, institutional quality, globalization, energy consumption, financial development, urbanization, and remittance from 1985 to 2020. The impact of positive/negative shock in a regressor on CO2 emissions keeps other regressors unchanged and has been investigated using the novel dynamic stimulated autoregressive distributed lag (ARDL) model. The empirical findings revealed the positive impact of economic growth and negative impact of the square economic growth on environmental degradation in the short- and long term. It indicates the validity of the EKC hypothesis in the case of the USA. Moreover, financial development, energy consumption, globalization, remittances inflow, and urbanization reduce the environmental quality. On the contrary, institutional quality improves the environmental quality by reducing CO2 emissions. The appropriate recommendations to design the inclusive economic-environment national energy policy were proposed.


The demand for energy consumption requires efficient financial development in terms of bank credit. Therefore, this study examines the nexus between Financial Development, Economic Growth, Energy Prices and Energy Consumption in India, utilizing Vector Error Correction Model (VECM) technique to determine the nature of short and long term relationships from 2010 to 2019. The estimation of results indicates that a one percent increase in bank credits to private sector results in 0.10 percent increase in energy consumption and 0.28 percent increase in energy consumption responses to 1 percent increase in economic growth. It is also observed that the impact of energy price proxied by consumer price index is statistically significant with a negative sign indicating the consistency with the theory.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.


2017 ◽  
Vol 16 (1) ◽  
pp. 54-84 ◽  
Author(s):  
Magda Kandil ◽  
Muhammad Shahbaz ◽  
Mantu Kumar Mahalik ◽  
Duc Khuong Nguyen

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.


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