32 research outputs found

    Impact of Energy Mix on Nitrous Oxide Emissions: An Environmental Kuznets Curve approach for APEC countries

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    There is a limited number of studies on the estimation of Environmental Kuznets Curve (EKC) hypothesis for Nitrous Oxide (N2O) emissions, though it is one of the most harmful greenhouse gases (GHGs) present in ambient atmosphere. In the wake of industrialization, it is necessary to understand the impact of energy consumption pattern on N2O emissions and revise the energy policies accordingly. In this study, we have analysed the impact of renewable and fossil fuel energy consumptions on N2O emissions for APEC countries over the period of 1990-2015, and the analysis has been carried out following the EKC hypothesis framework. The results obtained from the study indicate the efficacy of the renewable energy solutions in having positive impact on environmental quality by helping to reduce the level of N2O emissions. The policy implications derived the results are designed keeping the objectives of Sustainable Development Goals (SDGs) in mind, so that the energy policies can bring forth sustainability in the economic systems in these nations

    Impact of Energy Mix on Nitrous Oxide Emissions: An Environmental Kuznets Curve approach for APEC countries

    Get PDF
    There is a limited number of studies on the estimation of Environmental Kuznets Curve (EKC) hypothesis for Nitrous Oxide (N2O) emissions, though it is one of the most harmful greenhouse gases (GHGs) present in ambient atmosphere. In the wake of industrialization, it is necessary to understand the impact of energy consumption pattern on N2O emissions and revise the energy policies accordingly. In this study, we have analyzed the impact of renewable and fossil fuel energy consumptions on N2O emissions for APEC countries over the period of 1990-2015, and the analysis has been carried out following the EKC hypothesis framework. The results obtained from the study indicate the efficacy of the renewable energy solutions in having positive impact on environmental quality by helping to reduce the level of N2O emissions. The policy implications derived the results are designed keeping the objectives of Sustainable Development Goals (SDGs) in mind, so that the energy policies can bring forth sustainability in the economic systems in these nations

    Governance Quality and Tourism: Moderation of Social Determinants of Crime

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    Researchers have identified the impact of crime rates on tourism development, and in this study, we intend to look into the possible social causes behind those impacts. In this pursuit, we analyse the moderating role of social determinants of crime in shaping the association between tourism development and governance for 30 Asia-pacific countries over 1990-2017. In methodological terms, we have employed principal component analysis (PCA) for index building and generalized method of moments (GMM) for the estimation of long run elasticities. Using PCA, we have built separate indices for tourism development and social indicators. Results of GMM indicate that incidents of unemployment and increase in refugee population can diminish the positive impact of education on the association between tourism development and governance. The policymakers need to focus more on capacity building and job creation for internalizing the social imbalances, which might hamper the governance quality for fostering the development of tourism sector

    Analyzing Technology-Emissions Association in Top-10 Polluted MENA Countries: How to Ascertain Sustainable Development by Quantile Modeling Approach

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    This study investigates the relationship between technological progression and ambient air pollution in top-10 polluted Middle East and North African (MENA) countries by using monthly data for the period of 1990-2017. The Quantile cointegration proposed by Xiao (2009), Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015), and Quantile Autoregressive Granger causality developed by Troster (2018) are applied. In particular, we examine to which extent, quantiles of technological progression affect the quantiles of ambient air pollution, by developing separate indicators for both the mentioned aspects using Principal Component Analysis (PCA). Our empirical findings unfold mutual dependence between technological progression and ambient air pollution. Furthermore, the results of Quantile Autoregressive Granger causality test conclude a bidirectional causal relationship between technological progression and ambient air pollution

    Renewable Energy Policies and Contradictions in Causality: A case of Next 11 Countries

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    Numerous studies on the causal relationship between economic growth, energy consumption and carbon dioxide (CO2) emissions have shown divergence in policy recommendations, which arises mainly due to the choice of methodology and the period of study. This inconclusiveness in policy prescriptions might turn out to be critical, when the renewable energy policies of the developing nations are considered. Our study analyses the causal relationship between economic growth, carbon emissions, fossil fuel and renewable energy consumption in Next 11 countries during the period of 1990-2016. Along with conducting parametric and non-parametric causality tests together, introducing the Geweke (1982) causality test in the literature of energy economics, we attempt to establish a wholesome aspect of policy design, by comparing and complementing results of different causality analysis, and how the causality directions should comply with the context setting. Our empirical evidence confirms that robust renewable energy policy can be designed by complementing the various causality test results, rather than focusing on one particular causality test

    Interplay between Technological Innovation and Environmental Quality: Formulating the SDG Policies for Next 11 Economies

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    Since the inception of Sustainable Development Goals (SDGs), the Next 11 (N11) countries are facing difficulties in attaining the SDG objectives, as maintaining the environmental quality has been a challenge for them. In this study, we have revisited the technology policies of these countries, and in doing so, we have tried to address the problem of environmental degradation, while addressing the issues of sustained economic growth, clean and affordable energy, and quality education. In this pursuit, we have designed two indices for environmental degradation and technological advancement, and then analyzed the association between them following the Environmental Kuznets Curve (EKC) hypothesis. The empirical analysis has been done by IPAT framework, and by using bootstrapped quantile regression and rolling window heterogeneous panel casualty tests, over a period of 1990-2017. Following the results obtained from the analysis, we have tried to address the objectives of SDG 13, SDG 4, SDG 8, SDG 9, SDG 7, and SDG 10

    Interplay between Technological Innovation and Environmental Quality: Formulating the SDG Policies for Next 11 Economies

    Get PDF
    Since the inception of Sustainable Development Goals (SDGs), the Next 11 (N11) countries are facing difficulties in attaining the SDG objectives, as maintaining the environmental quality has been a challenge for them. In this study, we have revisited the technology policies of these countries, and in doing so, we have tried to address the problem of environmental degradation, while addressing the issues of sustained economic growth, clean and affordable energy, and quality education. In this pursuit, we have designed two indices for environmental degradation and technological advancement, and then analyzed the association between them following the Environmental Kuznets Curve (EKC) hypothesis. The empirical analysis has been done by IPAT framework, and by using bootstrapped quantile regression and rolling window heterogeneous panel casualty tests, over a period of 1990-2017. Following the results obtained from the analysis, we have tried to address the objectives of SDG 13, SDG 4, SDG 8, SDG 9, SDG 7, and SDG 10

    Renewable Energy Policies and Contradictions in Causality: A case of Next 11 Countries

    Get PDF
    Numerous studies on the causal relationship between economic growth, energy consumption and carbon dioxide (CO2) emissions have shown divergence in policy recommendations, which arises mainly due to the choice of methodology and the period of study. This inconclusiveness in policy prescriptions might turn out to be critical, when the renewable energy policies of the developing nations are considered. Our study analyses the causal relationship between economic growth, carbon emissions, fossil fuel and renewable energy consumption in Next 11 countries during the period of 1990-2016. Along with conducting parametric and non-parametric causality tests together, introducing the Geweke (1982) causality test in the literature of energy economics, we attempt to establish a wholesome aspect of policy design, by comparing and complementing results of different causality analysis, and how the causality directions should comply with the context setting. Our empirical evidence confirms that robust renewable energy policy can be designed by complementing the various causality test results, rather than focusing on one particular causality test

    How Renewable Energy Consumption Contribute to Environmental Quality? The Role of Education in OECD Countries

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    Designing a comprehensive policy framework for ascertaining sustainable development is a problem faced by most of the countries around the globe, and the developed nations are no exception to that. Environmental awareness-oriented policy design for achieving sustainable development goals is a challenge for the developed nations, and there lies the contribution of this study. This study analyzes the impact of renewable energy on carbon emissions, in presence of education, natural resource abundance, foreign direct investment, and economic growth for the Organization for Economic Co-operation and Development countries over the period of 1990-2015. Second generation methodologies are adapted for the empirical estimation. The results show the stimulating role of renewable energy consumption in shaping environmental quality. Education declines carbon emissions. Natural resource abundance and foreign direct investment deteriorate environmental quality. Moreover, the time series individual country analysis also confirms that renewable energy has a positive impact on economic growth. The heterogeneous causality analysis reveals the feedback effect, i.e., bidirectional causal associations among carbon emissions, education, and renewable energy consumption. This empirical evidence suggests that countries should increase investment in education and renewable energy sectors and plan for research and development in renewable energy for ensuring environmental sustainability

    Technology Policy and Environmental Quality at crossroads: Designing SDG policies for select Asia Pacific countries

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    Since the inception of Sustainable Development Goals (SDGs), the Asia Pacific countries are facing difficulties in attaining the SDG objectives, as maintaining the environmental quality has been a challenge for them. In this study, we have revisited the technology policies of these countries, and in doing so, we have tried to address the problem of environmental degradation, while addressing the issues of sustainable economic growth, clean and affordable energy, and quality education. In this pursuit, we have designed two indices for environmental degradation and technological advancement, and then analyzed the association between them following the Environmental Kuznets Curve (EKC) hypothesis. Following IPAT framework, and by using quantile approach, over a period of 1990-2017, we have found that the turnaround points of EKCs rise with the rise in quantiles, i.e. quantiles with low pollutions are having turnaround points within sample range, whereas quantiles with high pollutions are having turnaround points outside sample range. Using Rolling Window Heterogeneous Panel Causality test, unidirectional causality has been found running from technological advancement to environmental degradation. Following the results obtained from the analysis, we have tried to address the objectives of SDG 13, SDG 4, SDG 8, SDG 9, SDG 7, and SDG 10
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