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2016, Environmental science and pollution research international
https://doi.org/10.1007/S11356-016-7935-Z…
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The main aim of this article is to examine empirically the impact of urbanization on carbon dioxide emissions in Singapore from 1970 to 2015. The autoregressive distributed lags (ARDL) approach is applied within the analysis. The main finding reveals a negative and significant impact of urbanization on carbon emissions in Singapore, which means that urban development in Singapore is not a barrier to the improvement of environmental quality. Thus, urbanization enhances environmental quality by reducing carbon emissions in the sample country. The result also highlighted that economic growth has a positive and significant impact on carbon emissions, which suggests that economic growth reduces environmental quality through its direct effect of increasing carbon emissions in the country. Despite the high level of urbanization in Singapore, which shows that 100 % of the populace is living in the urban center, it does not lead to more environmental degradation. Hence, urbanization will not...
Environmental Science and Pollution Research, 2020
This study explores the linkage between globalization and CO 2 emissions in Singapore by using long-term data obtained during 1970-2014. The Zivot-Andrew unit root test corroborates that gross domestic production, economic globalization, political globalization, social globalization, square of economic growth, and carbon dioxide emissions have a unit root at I(0) and stationary at I(1). In this study, the application of auto-regressive distributed lag model finds a significant linkage between the estimated variables. Short-and long-run coefficients confirm that social globalization and economic globalization will be responsible for reduction in carbon dioxide emissions in the future for Singapore. Moreover, this research confirms the presence of environmental Kuznets curve in Singapore. It is proved that a 1% increase in political globalization will increase 2.06% emissions in the long term. The stability of the model is confirmed by diagnostic tests. In addition, policy implications to reduce air pollution are presented in this study.
Urbanization is a phenomenon of economic and social modernization. Investigating the link between urbanization growth and CO 2 emissions is necessary and helpful for Malaysia to achieve its pollution reduction targets. Ecological modernization and augmented CobbeDouglas production theories are used in order to gain the best understanding of interaction between CO 2 emissions and urbanization for the 1971e2015 period. This study aims to examine the relationships among CO 2 emissions, urbanization growth, energy consumption, GDP, domestic investment, and financial development. The F-bounds test and VECM Granger causality are utilized. The dynamic relationship among variables and the inverted Ushaped relationship between CO 2 emissions and urbanization in the long run are examined. The elasticity of CO 2 e urbanization is found positive elastic in the early stage of urbanization, but it turns to negative inelastic at the higher urbanization stage. Furthermore, the unidirectional causality from urbanization to CO 2 emissions in the short run are at a 1 percent level of significance, and the bidirectional causality between CO 2 emissions and urbanization is at a 5 percent level of significance in the long run. Also, we captured bidirectional causality among energy consumption, domestic investment, GDP, CO 2 emissions, and unidirectional causality from financial development to CO 2 emissions at least at a 5 percent level of significance. These findings could support policymakers in managing urbanization development and considering clean investment and other green aspects for urban sustainable development, which can save many people from natural disaster.
Journal International Journal of Economics and Management, Volume 1, Issue 1, 2019 (ISSN: 2667-517X), 2019
The great debates whether the transaction from rural to cities brings a better life or in the way around in Asia Countries have captured global attention. This study provides empirical evidences on the urbanization-CO2 emissions nexus for a sample of 34 Asian countries from 1990 to 2016 which obtained from the time series databased of Emissions Database for Global Atmospheric Research (EDGAR) and World Development Indicator (WDI). This article aims to assess the possibility of urbanization role in counteract the growth of CO2 emissions by examine the possibilities of non-linear relationship or specifically the possibility of the Kuznets’ hypothesis. Due to the structural heterogeneity exists widely across countries in Asian countries, this paper employ Stochastic Impact by Regression on Population, Affluence, Technology (STRIPAT) model as its analytical framework and estimate using the Dynamic Common Correlated Effects (DCCE) estimator to address the heterogeneity, cross-section dependence, and dynamics nature of carbon emissions. The result shows that, initially, the CO2 emissions intensify along with the growth of urbanization, and at higher urbanization bound to reduce the CO2 emissions as presented in quadratic functional. Nevertheless an N-shape relationship observe in cubic functional. The finding of this paper have important implication on the Asian countries policymakers in archiving the sustainable urban society.
Applied Economics, 2019
This paper aims to investigate the effects of urbanization on pollutant emissions and energy intensity in selected Asian developing countries after controlling for the effects of disaggregated (renewable and non-renewable) energy consumption, trade liberalization, and economic growth. We use both linear and nonlinear panel data econometric techniques and employ recently introduced mean group estimation methods, allowing for heterogeneity and cross-sectional dependence. However, to check the robustness of our panel results, we also apply the autoregressive distributed lag (ARDL)-bound testing approach to country-level data. In addition, the relationship between affluence and CO 2 emissions is examined in the context of the Environmental Kuznets Curve (EKC) hypothesis. The estimation results identify the population, affluence, and non-renewable energy consumption as major factors in pollutant emissions in Asian countries. However, the results of the EKC hypothesis show that when countries achieve a certain level of economic growth, their emissions tend to decline. Whereas nonlinear results show that renewable energy, urbanization, and trade liberalization reduce emissions, linear estimations do not confirm these outcomes. Thus, substitution of non-renewable for renewable energy consumption, cautious and planned urbanization programs and more liberal trading regimes may be viable options for sustainable growth of these developing Asian economies.
Ecological Indicators, 2014
With a view to provide new evidence in favor of EKC hypothesis that claims a trade-off between growth and environmental quality at least in the short-run, we conduct a study for Singapore by analyzing the data on CO 2 emissions, energy consumption (measured by two proxies) and per capita GDP for 1975-2011 by means of cointegration and causality techniques. The results indicate a significant rise in CO 2 emissions as GDP rose over the years confirming a short-run trade-off between environment and growth. Further analysis on a possible turning point shows that continuous growth will be necessary for a long time before we experience any trickle-down effects on environmental pollution. The results of causality analysis indicate that CO 2 emissions indeed have caused decline in Singapore's growth. It is therefore argued that strict regulatory regimes on environmental protection in the city-state must remain in force.
2021
We use a globally consistent, time-resolved data set of CO2 emission proxies to quantify urban CO2 emissions in 91 cities. We decompose emission trends into contributions from changes in urban extent, population density and per capita emissions. We find that urban CO2 emissions are increasing everywhere but that the dominant contributors differ according to development level. A cluster analysis of factors shows that developing countries were dominated by cities with rapid area and per capita CO2 emissions increases. Cities in the developed world, by contrast, show slow area and per capita CO2 emissions growth. China is an important intermediate case with rapid urban area growth combined with slower per capita CO2 emissions growth. For many developed countries, urban per capita emissions are often lower than their national average suggesting that urbanisation may reduce overall emissions. However trends in per capita urban emissions are higher than their national equivalent almost everywhere suggesting that urbanisation will become a more serious problem in future. An important exception is China whose per capita urban emissions are growing more slowly than the national value. We also see a negative correlation between trends in population density and per capita CO2 emissions, highlighting a strong role for densification as a tool to reduce CO2 emissions.
Sustainable Cities and Society, 2019
The aim of this study is to explore the effect of urbanization on CO2 emissions in Pakistan For long run and short run relationship ARDL model and for causality VECM model are applied In the long run urbanization enhances CO2 emissions Short causal linkage from urbanization to environment degradation is found.
Journal of Cleaner Production, 2019
Rapid urbanization has significant effects on China's CO 2 emissions and contributes to climate change. Using a cross-city panel of 64 cities from four large urban agglomerations in China over 2006-2013, we estimate urban household residential energy-related CO 2 emissions. We then apply fixed effects two-stage least squares (2SLS) to explore the relationship between urbanization and residential CO 2 emissions, using an augmented Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. The results show that the average amount of residential CO 2 emissions in these four agglomerations has a strong increasing trend over 2006-2013, rising from 2.85 to 5.67 million tons (Mt). Those with municipality and capital city status emit more residential CO 2 emissions. A rising urban population share significantly influences residential CO 2 emissions, as does population scale, GDP per capita, urban compactness and the comprehensive level of urbanization. Urban population share has positive effects on residential CO 2 emissions even pasting the demarcation point (75%) in China's urban agglomerations. GDP growth has negative effects on residential CO 2 emissions. Therefore, urban agglomerations' development and expansion should be designed to be well-organized. Policy makers should pay more attention to the urbanization patterns and design a guide for green development and sustainable lifestyle in the process of China's eco-urbanization.
International Review of Management and Business Research, 2020
Urbanization and industrialization are key factors of economic growth in most of countries which required a lot of energy use, but all the variables are the threat to environmental degradation. The present work is an attempt to test empirically the impact of urbanization, industrialization, growth of economy and energy consumption in four highly populated Asian countries (China, India, Indonesia, Pakistan). The study collected panel data for the span of 1975 to 2018. This study adopted Panel Cointegration and Granger causality technique. The estimates of panel cointegration confirmed long run cointegration between urbanization, industrialization, economic growth, energy consumption and environmental degradation. In addition, the results confirmed positive impact of energy consumtion and economic growth on CO2 emissions which means that both the variables are harmful for environment in the long term. Furthermore, urbanization as well as industrialization is demonstrating negative influence the emissions of CO2 which suggests urbanization and industrialization not have negative effect environment in the selected countries, in the long term. The results of granger causality test confirm three uni-directional causalities as well as three bi-directional causalities among the variables. On the basis of the study results, efficieny in enrgy use is the must for sustainable development and environment in the selected countries.
International journal of energy economics and policy, 2024
Economic progress is often seen as a means to enhance living standards, yet it often comes with an unintended consequence: a decline in environmental well-being. This research seeks to validate the Environmental Kuznets Curve (EKC) theory within the top 10 most populous nations and scrutinize the impact of urbanization, economic advancement, energy usage, and forest coverage on CO 2 emissions. Utilizing data sourced from the World Development Indicator spanning from 2000 to 2019, this study employed a robust analytical approach known as the generalized method of moments (GMM) dynamic panel data, validated through Sargan and Arellano-Bond tests. The findings affirmed that economic growth, energy consumption, and forest area exerted significant influence on carbon dioxide emissions, aligning with the EKC hypothesis. However, contrary to expectation, urbanization didn't display a discernible impact on emissions, likely due to well-integrated transportation systems and higher educational standards prevalent in urban settings. This underscores the necessity for a sustainable economic growth strategy, advocating for industries with minimal pollution and ecofriendly products conducive to easy recycling. Furthermore, initiatives aimed at expanding forested areas should consider innovative techniques like vertical garden-based reforestation.
Energy Exploration & Exploitation, 2021
This study investigated the link between energy consumption (EC), foreign direct investments (FDI), urbanization (URB) and CO2 emissions in the emerging seven (E7) countries for the period 1991 to ...
Environment, Development and Sustainability, 2021
In terms of attaining the objectives of Sustainable Development Goals (SDGs), the Asian economies are considered as laggards, and one of the major problems faced by these economies is the issue of environmental degradation. For addressing this pertaining issue, a policy-level reorientation might be necessary. In this view, this study aims to explore the impact of urbanization, renewable energy consumption, financial development, agriculture, and economic growth on CO2 emissions in 15 Asian economies over 1990–2014. The empirical evidence demonstrates that urbanization, financial development, and economic growth increase CO2 emissions, renewable energy consumption reduces CO2 emissions, and the impact of agriculture is insignificant. Impulse response function and variance decomposition techniques are used to test the causality among the variables. Based on the study outcomes, a comprehensive SDG-oriented policy framework has been recommended, so that these economies can make progress...
Environmental Science and Pollution Research, 2021
Even though higher education R&D expenditures (HEEXP) are important determinants of economic growth that facilitate science, technology, new ideas, and innovation, yet its effect on environmental sustainability remains unexplored. This paper examines the nexus between HEEXP and carbon dioxide emissions (CO 2 e), followed by control variables such as electricity consumption (EC), foreign direct investment (FDI), gross domestic product (GDP), and total population (TP) for the period 2000Q1-2019Q4. Data were evaluated using different tests, e.g., the cross-sectional dependence test, cross-sectionally augmented Dickey-Fuller unit root test, Westerlund error-correction-based panel cointegration test, mean group, augmented mean group, common correlated effects mean group, and Dumitrescu-Hurlin panel causality test. First, the results validated the cointegration association among HEEXP, EC, FDI, GDP, TP, and CO 2 e. Second, the finding showed significant long-term negative nexus between HEEXP and CO 2 e. Third, the findings indicated that electricity consumption, foreign direct investment, gross domestic product, and total population are the important factors that intensify the overall situation of CO 2 e. Fourth, the results indicated that there exists bidirectional causality between EC and CO 2 e; FDI and CO 2 e; GDP and CO 2 e; POP and CO 2 e; and HEEXP and CO 2 e. This paper's findings call for devising policies and strengthening financial support to induce higher education for developing green patents.
The European Journal of Applied Economics, 2020
This study examines the urbanization and CO2 emissions nexus in Nigeria using the Autoregressive Distributed Lag (ARDL) method to analyze the annual time series data spanning from 1974 to 2015. Findings suggest that urbanization, GDP, energy use, and carbon emissions are strongly and positively correlated, while trade and carbon emissions exhibit a weak and negative correlation. The ARDL result shows a negatively significant short-term and long-term connection between urbanization and carbon emission in the Nigerian economy. In the short-term, GDP, trade and energy use positively affect carbon emission while in the long-term, trade and GDP negatively affect carbon emissions with energy use having a positive impact on carbon emissions. The study, therefore, concludes that urbanization does not cause carbon emission to rise in Nigeria, but energy use does. From the findings, it was recommended that there is a need for the use of energy-saving and environmentally friendly technology to...
Energies, 2021
Concerns regarding environmental sustainability have generally been an important element in achieving long-term development objectives. However, developing countries struggle to deal with these concerns, which all require specific treatment. As a result, this study explores the interaction between financial development, renewable energy consumption, technological innovations, and CO2 emissions in India from 1980 to 2019, taking into account the critical role of economic progress and urbanization. The Autoregressive Distributed Lag (ARDL) model is used to quantify long-run dynamics, while the Vector Error Correction Model is used to identify causal direction (VECM). According to the study’s conclusions, financial development has a considerable positive impact on CO2 emissions. The coefficient of renewable energy consumption and technical innovations, on the other hand, is strongly negative in both the short and long run, indicating that increasing these measures will reduce CO2 emiss...
Economies, 2017
The role of foreign direct investment (FDI) inflows is tested on three main pillars of sustainable development (SD), which consists of economic growth, income distribution and environmental quality for Singapore. The analysis is performed by using Autoregressive Distributed Lag (ARDL) estimation technique. The sample data is based on annual data, covering the period from 1970 to 2013. The estimated long-run elasticity indicated that FDI inflows not only lead to higher economic growth and better environmental quality but also widen the income disparity in this country, which may disrupt its SD mission. The other two introduced variables that could also play a part as potential drivers for sustainable development (SD) are trade openness (TO) and financial development (FD). Based on the outcomes, TO has also led to higher economic growth and lower environmental degradation. However, this variable does not have significant impact on income distribution for Singapore. As for FD, it is found to have a significant and positive impact on economic growth and also successfully reduce the income inequality problem. On the contrary, this variable does not have any significant relationship with environmental quality, as indicated by carbon dioxide (CO 2) emissions. Mixed evidence of a relationship is detected for other macroeconomic variables in the three estimates models. As the income inequality issue has become more serious, it is important for Singaporean policymakers to focus on attracting more foreign investors to invest in various sectors, in the hope that these companies can offer better wages to the local workers and thus improve income distribution in the country. More attention is needed to explore the potential role of TO and FD as drivers for SD in this country.
Economies
This study aims to analyze the nexus between CO2 emissions, urbanization, and economic activity, as well as identify whether the pollution haven hypothesis is proven in Indonesia. It utilized time series data of Indonesia during the 1971–2019 period. Furthermore, the vector error correction model (VECM) was used to determine the long-run and short-run interplay using cointegration and Granger causality approaches. The empirical results showed the pollution haven hypothesis occurred in Indonesia. A long-term relationship with CO2 emissions was observed from the model. In addition, unidirectional causality occurred from urbanization, economic growth, exports, and foreign direct investment to CO2 emissions in the short term. It was concluded that the achievement of the Paris Agreement will be successful when the committed countries are courageous in transforming their economy. However, major adjustments are needed, where all parties need to have the same vision towards net zero carbon.
Environmental Science and Pollution Research, 2020
This study aims to determine the effects of deforestation, economic growth, and urbanization on carbon dioxide (CO 2) emissions levels in the South and Southeast Asian (SSEA) regions for the 1990-2014 period. The data was divided into five sub-panels. Three of them are income-based groups (namely low-, middle-and high-income panels), and the remaining two are South and Southeast Asian regions. The Pedroni cointegration test confirms a long-run relationship between deforestation, economic growth, urbanization, and CO 2 emissions in the SSEA regions. Further, empirical results reveal the existence of a U-shaped relationship between CO 2 emissions and economic growth for all panels (excepting low-income countries). This means that these countries can grow in a sustainable path, but they must be aware of long-term risks of this economic growth, as this sustainable path could be compromised when reaching the turning point of the "U". Moreover, our results suggest that deforestation and urbanization can aggravate environmental pollution in these regions and can further affect sustainable development in the long run. Besides, the most appropriate and cost-effective method to minimize CO 2 emissions is found to be through the improvement of forest activities.
Journal of Environmental Studies and Sciences
The dynamic relationship between economic activity (economic growth) and environmental impact (carbon dioxide emissions) is the most debated topic in the present world. The global world is intended to curb environmental impact up to a threshold level of the 1990s while maintaining the same pace of economic growth. This study analyzes the decoupling of economic activity from environmental impact and its main driving forces from 1980 to 2018 for Pakistan. The decoupling status is examined using Tapio decoupling elasticity analysis. The cointegration and Impulse Response Function (IRF) are employed to explore the role of main decoupling drivers. The Tapio decoupling results exhibit that Pakistan experienced Expensive Negative Decoupling (END) for multiple years. Similarly, the Johanson Juselius (JJ) Cointegration assures the presence of a long-term relationship between the selected variables. The long-term regression estimates show that carbon intensity and urbanization are the main decoupling drivers. The industrialization and economic growth also weaken the decoupling progress in Pakistan. The value addition of the paper is that it exposes industrialization and urbanization as the two prominent factors of both economic growth and carbon emissions. Further, the industrial sector of Pakistan operates on polluted industrial stock, which needs to be replaced with energy-efficient technological stock. The study also added that renewable energy needs to be indulged in the industrial and urban sectors.
PLOS ONE, 2021
The effects of economic development on natural environment is explored by momentous literature, this study focuses on exploring the role of institutional quality for environmental protection in the selected One Belt One Road (OBOR) economies. The main goal of the paper is to find the threshold level of institutional quality that may minimize CO2 emissions in the atmosphere due to widespread industrialization and transportation. The data is selected for the panel of 33 OBOR economies over the time period of 1986–2018. The panel threshold regression technique is applied to determine the threshold level of institutional quality. The estimated results of the study reveal that 2.315 is the threshold level of institutional quality in selected partner OBOR countries. If quality of institutions is above the threshold level then CO2 emission do not contribute significantly for environmental deterioration in spite of growing industrialization and transportation and vice versa. The study empha...
Frontiers in Environmental Science
The alarming trend of CO2 emissions in Indonesia merits a reinvestigation into the determinants in a bid to conserve the environment. In the literature, in Indonesia, three potential determinants, namely, energy, foreign direct investment, and corruption, have been identified to harm the environment. However, their effects are still undetermined. Thus, this study aims to examine the relationships between corruption (COR), energy use (ENY), foreign direct investment (FDI), and CO2 emissions in Indonesia. The autoregressive distributed lag (ARDL) approach was used to analyse data for 36 years, from 1984 to 2020. The results reveal that corruption contributes to greater environmental degradation in the short run, while foreign direct investment does not. However, in the long run, corruption and energy use can positively affect environmental degradation, but foreign direct investment can reduce environmental degradation in Indonesia. This study also found two other factors, namely, econ...
Sustainability
This study aims to analyze the effect of urban population and economic globalization on air quality in Turkey for the period 1970–2017, including GDP and electricity consumption as control variables. This paper is the first attempt to apply the dynamic autoregressive-distributed lag (DARDL) approach to explore the association between carbon emissions, urbanization, economic globalization, GDP, and electricity consumption in Turkey. The analysis results suggested the existence of a cointegration relationship between all series in the long run. DARDL results revealed that while urbanization has a statistically significant effect on carbon emissions in the short or long run, economic globalization has a positive impact in the long run. That is, economic globalization increases carbon emissions by about 0.15 percent. Thus, it can be said that globalization is more critical than urbanization in terms of environmental costs. In addition, it was determined that GDP and electricity consumpt...
Journal of Policy Research
The Kingdom of Saudi Arabia has witnessed unprecedented economic growth in recent decades, propelling it onto the global stage. However, this rapid growth is often associated with a notable increase in carbon dioxide emissions, which carry significant environmental ramifications. In light of this pressing concern, this research undertakes a comprehensive examination of the intricate relationships between economic growth, energy consumption, urbanization, and carbon dioxide emissions within the Kingdom of Saudi Arabia from 1980 to 2020. This study employs autoregressive distributed lag approach to uncover the multifaceted dynamics at play. The empirical findings of the study reveal a compelling narrative about the Kingdom's natural landscape. Particularly noteworthy is the revelation that economic growth, urbanization, and energy consumption emerge as pivotal long-term drivers of escalating pollution. These findings underscore the critical necessity for policies that strike a bal...
Journal of Environmental Management, 2022
The role of energy consumption in production processes has received considerable attention from academic scholars in recent years because of the new assumptions in endogamous growth theory. Yet, the real effect of energy consumption on economic growth is still a controversial and inconclusive issue in the literature. Using a dynamic panel data technique, this study aimed to provide new insights into these issues by examining the effect of renewable and non-renewable energy consumption on economic growth in developing and developed countries for the period 2002 to 2014. The results suggest that the effect of energy consumption on economic growth varies according to the income levels of the economies concerned. While non-renewable energy consumption was positively correlated with growth in developing countries, nonrenewable or renewable energy consumption was not found to have an effect on the economic performance of developed countries.
Journal of Asian Finance, Economics and Business, 2021
This study aims to investigate the relationship between urbanization, economic growth, energy consumption, and CO2 emissions in Indonesia. The data used in the study are time-series data for the period 1985–2017; the data utilized are sourced from World Development Indicators obtained on the World Bank database. The method uses a quantitative approach that applies the vector error correction model based on the Granger causality test. The empirical results reveal that, in the short run, there is evidence that urbanization and energy consumption can causes CO2 emissions, and they also prove that urbanization can cause energy consumption. Also, other findings prove the existence of longrun relationships flowing from energy consumption, economic growth, and CO2 emissions toward urbanization, as well as the existence of the relationship flowing from urbanization, economic growth, and CO2 emissions towards energy consumption. The results of testing the relationship between economic growth...
PLOS ONE
Carbon dioxide (CO2) emissions have become a critical aspect of the economic and sustainable development indicators of every country. In Pakistan, where there is a substantial increase in the population, industrialization, and demand for electricity production from different resources, the fear of an increase in CO2 emissions cannot be ignored. This study explores the link that betwixt CO2 emissions with different significant economic indicators in Pakistan from 1960 to 2018 using the autoregressive distributed lag (ARDL) modelling technique. We implemented the covariance proportion, coefficient of determination, the Durbin Watson D statistics, analysis of variance (ANOVA), variance inflating factor (VIF), the Breusch-Pagan test, the Theil’s inequality, the root mean quare error (RMSE), the mean absolute percentage error (MAPE), and the mean absolute error (MAE) for the diagnostics, efficiency, and validity of our model. Our results showed a significant association between increased...
International Journal of Scientific and Research Publications, 2020
Carbon dioxide (CO2) emissions are a leading cause of environmental pollution and have been the most significant problems for the worldwide community. This study examines the dynamic causal relationships between CO2 emissions, industrial structure, economic growth and urbanization for the period 1980– 2017 using the Autoregressive Distributed Lag (ARDL) bounds testing approach and Granger causality tests. Augmented DickeyFuller and the Phillips-Perron tests used to examine of unit roots of the variables. The results showed that industrial structure, economic growth and urbanization increases CO2 emissions. The result of Granger causality test indicated that there is a bidirectional causal relationship between industrial structure, economic growth, and urbanization and CO2 emissions. The results recommend that industrial structure, economic growth and urbanization were the main determinants of environmental pollution in Ethiopia and a series of policy actions related to industrial structure, economic growth and urbanization should be taken to reduction the environmental degradation.
Jurnal Ekonomi Malaysia, 2018
This study investigates the asymmetries in the nexus among carbon emissions, real output, and energy consumption between Malaysia and South Korea through the use of a non-linear autoregressive distributed lag (NARDL) model. The positive and negative shock of the variables indicate varying signs and magnitudes. Furthermore, the findings revealed a mixed presence of asymmetries among the nexus, as indicated in the variables for both short and long runs. The study also exemplified that the dependence of South Korea on energy consumption to generate economic growth appears to be greater than Malaysia. On the contrary, the impact of economic expansion upon the higher release of carbon emissions is greater for the case of Malaysia, in comparison to South Korea. The outcomes further displayed that higher energy consumption in both nations could lead to higher economic growth. As such, the presence of asymmetries in the relationships between the tested variables could impose significant information for future policy recommendations, particularly for these two nations.
2017
This paper aims to investigate the effects of urbanization, renewable and non-renewable energy consumption, trade liberalization, and economic growth on pollutant emissions and energy intensity in selected Asian developing countries from 1980 to 2010. We use both linear and nonlinear panel data econometric techniques and employ the recently introduced mean group estimation methods, allowing for heterogeneity and cross-sectional dependence. However, to check robustness of our panel results, we also apply the autoregressive distributed lag bound testing approach to country-level data. In addition, the relationship between affluence and CO2 emissions is examined in the context of the Environmental Kuznets Curve (EKC) hypothesis. The estimation results identify population, affluence, and non-renewable energy consumption as the main factors in pollutant emissions in Asian countries. However, the results of the EKC hypothesis show that when countries achieve a certain level of economic gr...
iRASD Journal of Energy & Environment
Pakistan is the world’s 5th most populated country. This growing population is causing numerous social and environmental problems. By the increase in population, energy demand is increasing day by day. Pakistan, where majority of the population is living in rural areas is using uncleaned cooking fuel due to which CO2 emission is increasing that is further a cause of environmental degradation. Based on the data (for the period from 1980 to 2019) of World Development Indicators, this study intends to examine the association between urban population, and energy use with CO2 emission. Unit root test was applied to check stationarity of data and after checking the stationarity status of variables, ARDL (Auto regressive distributive lag model) techniques was applied on data. The outcomes of the study showed that trade openness, urbanization, and energy consumption have significant and positive effects on environmental degradation. This study suggest that government must plan population a...
2019
This paper investigates the environmental impact of economic growth, energy consumption, financial development and globalization in China over the period 1970Q1-2015Q4. In particular we consider four dimensions of globalization namely economic, social, political and overall globalization. The Nonlinear Autoregressive Distributed Lags (NARDL) model has been employed to capture the potential asymmetric impact of the determinants of dioxide carbon emissions in China. Interestingly, findings show that: (1) In the short-run: economic growth and financial development have a significant symmetric impact on CO2 emissions. Energy consumption has a nonlinear and asymmetric influence on CO2 emissions. However, economic globalization does not impact CO2 emissions. (2) In the long-run: economic growth, financial development and economic globalization exhibit an asymmetric influence on carbon emissions in model including the economic dimension of globalization. Economic growth has a positive symm...
Ecological Economics, 2011
This paper analyzes the impact of urbanization on CO2 emissions in developing countries. In this study we treat population as a predictor in the model, instead of assuming a unitary elasticity of emissions with respect to population growth. We contribute to the existing literature by examining the effect of urbanization, taking into account the presence of heterogeneity in the sample of countries and testing for the stability of the estimated elasticities over time. The sample covers the period from 1975 through 2005 for different groups of countries, classified according to their income levels. Our results show that, whereas the impact of population growth on emissions is above unity and only slightly different for upper, middle, and low-income countries, additional demographic variables, namely, urbanization, demonstrate a very different impact on emissions for low and lower-middle-income countries and upper-middle income countries. For the first set of countries, the elasticity, emission-urbanization, is higher than unity, whereas in the second group, the elasticity is 0.72, which is in accordance with the higher environmental impact observed in less developed regions. However, in upper-middle income countries and highly developed countries, the elasticity, emission-urbanization, is negative. The heterogeneous impact of urbanization on CO2 emissions should therefore be taken into account in future discussions of climate change policies.
Asymmetric relationship of urbanization and CO2 emissions in less developed countries, 2018
Understanding the relationship between carbon dioxide (CO 2) emissions and the urbanization of national populations has been a key concern for environmental scholars for several decades. Although sophisticated modeling techniques have been developed to explore the connection between increases in urban populations and CO 2 emissions, none has attempted to assess whether declines in urbanization have an effect on emissions that is not symmetrical with that of growth in urbanization. The present study uses panel data on CO 2 emissions and the percentage of individuals living in urban areas, as well as a variety of other structural factors, for less-developed countries from 1960–2010, to empirically assess whether the effect of growth in urban populations on emissions is symmetrical with the effect of decline. Findings indicate that the effect of growth/decline in urban populations on CO 2 emissions is asymmetrical, where a decline in urbanization reduces emissions to a much greater degree than urbanization increases emissions. We hypothesize that this is at least in part because deurbanization is connected with disruptions to the production and distribution of goods and services and/or access to electricity and other energy sources. Our finding suggests that not only the absolute level of urbanization of nations matters for emissions, but also how the patterns of migration between rural and urban areas change over time. Future research should be mindful of the processes behind deurbanization when exploring socioeconomic drivers of CO 2 emissions.
Renewable and Sustainable Energy Reviews, 2016
We investigate the impact of urbanisation on CO 2 emissions by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in the case of Malaysia over the period of 1970Q1-2011Q4. Empirically, after testing the integrating properties of the variables using unit root test, we applied the Bayer-Hanck combined cointegration approach to examine the cointegration relationship between the variables. Further, we tested the robustness of long-run relationship in the presence of structural breaks using ARDL bounds testing approach. The causal relationship between the variables is investigated by applying the VECM Granger causality test. Our results validate the existence of cointegration in the presence of structural breaks. The empirical results exposed that economic growth is a major contributor to CO 2 emissions. Besides, energy consumption raises emissions intensity and capital stock boosts energy consumption. Trade openness leads affluence and hence increases CO 2 emissions. More importantly, we find that the relationship between urbanisation and CO 2 emissions is U-shaped i.e. urbanisation initially reduces CO 2 emissions, but after a threshold level, it increases CO 2 emissions. The causality analysis suggests that the urbanization Granger causes CO 2 emissions.
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