Climate and Environment
Farming System Change Under Different Climate Scenarios and its Impact on Food Security: an analytical framework to inform adaptation policy in developing countries
Abstract:
Developing countries are considered extremely vulnerable to climate change, due to their socioeconomic context (high levels of poverty) and high dependence of their livelihoods on natural resources. Rural areas in these countries concentrate most of the poorest and food-insecure people in the world, with farmers being among the most vulnerable to climate change. The impacts of climate change are expected to be spatially heterogeneous. In this sense, this paper aims at exploring the direct, marginal effect of climate change on farming system choice and its implications to food security in Mozambique, using a space-for-time approach. Our results suggest that major changes are to be expected in farming system choice and their spatial distribution due to climate change, which will potentially impact the livelihoods and food security status of smallholder farmers. Farming systems including food/cash crops and/or livestock, which are among the most food secure, will tend to be replaced by other systems in all climate scenarios. Mixed farming systems (including food and livestock) and livestock-oriented systems, mostly food insecure, predominant in arid areas are expected to expand with climate change. Food security and innovation stress maps were sketched out from the modelling results, identifying priority areas for public intervention. We also highlight how our approach can be an effective and easily replicable framework to address this type of issues in other developing regions facing similar problems.
Quotation:
Abbas, M., Ribeiro, P.F. & Santos, J.L. Farming System Change Under Different Climate Scenarios and its Impact on Food Security: an analytical framework to inform adaptation policy in developing countries. Mitig Adapt Strateg Glob Change 28, 43 (2023). https://doi.org/10.1007/s11027-023-10082-5
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries
Abstract:
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region.
Citação:
Fuinhas, J.A., Koengkan, M., Leitão, N.C., Nwani, C., Uzuner, G., Dehdar, F., Relva, S., Peyerl, D. (2021). Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries. Sustainability, 13 (24), 13611. https://doi.org/10.3390/su132413611
The Effects of Corruption, Renewable Energy, Trade and CO2 Emissions
Abstract:
Corruption reflects a set of illegal activities that jeopardize the smooth functioning of economies, society, and climate and environmental issues. The Effects of Corruption, Renewable Energy, Trade and CO2 Emissions tests the relationships between economic growth, corruption, renewable energies, international trade, and carbon dioxide emissions using panel data for European countries, namely Portugal, Spain, Italy, Ireland, and Greece, from 1995–2015. As an econometric strategy, this research uses the panel fully modified least squares (FMOLS), panel dynamic least squares (DOLS), and panel two-stage least squares estimator (TSLS). Considering the variables utilized in the research and the panel unit root test, we observed that the variables are integrated I (1) in the first difference. The variables of corruption, economic growth, renewable energies, international trade, and carbon dioxide emissions are cointegrated in the long run, using the Pedroni and Kao residual cointegration test arguments. The methodology of Dumitrescu–Hurlin to test the causality between carbon dioxide emissions, corruption, economic growth, and renewable energy shows that there is unidirectional causality between carbon dioxide emissions and corruption and economic growth and corruption. The results suggest that the corruption index and economic growth have a statistically significant positive impact on carbon dioxide emissions. However, renewable energies and international trade reduce climate change and improve the environmental quality.
Quotation:
Leitão, N.C. (2021b). The Effects of Corruption, Renewable Energy, Trade and CO2 Emissions (MDPI) 2021, 9 (2), 62. https://doi.org/10.3390/economies9020062
Testing the Role of Trade on Carbon Dioxide Emissions in Portugal
Abstract:
Testing the Role of Trade on Carbon Dioxide Emissions in Portugal considers the relationship between trade intensity, energy consumption, income per capita, and carbon dioxide emissions from 1970–2016 for the Portuguese economy. Considering the arguments of monopolistic competition, the article tests the hypotheses of trade and energy consumption on climate change. We use the autoregressive distributed lag-ARDL model, quantile regression, and cointegration models such as fully modified ordinary least squares (FMOLS), canonical cointegration regression, and dynamic ordinary least squares (DOLS) as an econometric strategy. The econometric results have support with the literature review. The variables used in this research are integrated with the first differences, as indicated by the unit root test. The empirical study proves that trade intensity contributes to environmental improvements. However, energy consumption presents a positive impact on CO2 emissions. The econometric results also demonstrated that a sustainable environmental system exists in the long run. This paper evaluates the theoretical and empirical studies on the effects of trade on carbon dioxide emissions. The theoretical arguments of monopolistic competition models and the relationship between trade intensity and pollution emissions are evaluated, allowing justifying this empirical study’s results. The econometric results show that trade intensity contributes to improving the environment, both in the short and long term, justifying the importance of environmental regulation.
Quotation:
Leitão, N.C. (2021a). Testing the Role of Trade on Carbon Dioxide Emissions in Portugal. Economies (MDPI) 2021,9 (1), 22. https://doi.org/10.3390/economies9010022
Fresh Validation of the Low Carbon Development Hypothesis under the EKC Scheme in Portugal, Italy, Greece and Spain
Abstract:
Fresh Validation of the Low Carbon Development Hypothesis under the EKC Scheme in Portugal, Italy, Greece and Spain is in line with the United Nations Sustainable Development Goals (UN-SDGs) that address pertinent global issues. This study focuses on the need for access to clean and affordable energy consumption, responsible energy consumption, sustainable economic growth, and climate change mitigation. To this end, this paper evaluates the relevance of the renewable energy sector on the environmental Kuznets curve (EKC) framework in Portugal, Italy, Greece, and Spain for the period 1995–2015. As an econometric strategy, we adopt the use of panel data over the highlighted countries. In the first step, we apply the unit root test recommended by Levin, Lin, and Chu in conjunction with ADF-Fisher, and Phillips-Perron for robustness and consistency. We found that the variables used in this study are integrated I (1) in the first difference. In the second step, we apply the Pedroni cointegration test, and Kao Residual cointegration test, and we observe that the variables are cointegrated in the long run. The generalized least squares (GLS), the panel fully modified least squares (FMOLS), ordinary least squares robust (OLS), and panel quantile regression are considered in this research. The econometric results validate the assumption of the environmental Kuznets curve, i.e., and there is a positive correlation between income per capita and a negative effect of squared income per capita on carbon dioxide emissions. In contrast, we observe that renewable energy reduces CO2 emissions. Finally, we also find a direct connection between the urban population and the environmental degradation in the examined blocs. These results show that in Portugal, Italy, Greece, and Spain, more is required to achieve environmental sustainability in the respective countries growth trajectory. Further policy prescriptions are appended in the concluding section of this study.
Quotation:
Balsalobre-Lorente, D., Leitão, N.C., Bekun, F., V. (2021). Fresh Validation of the Low Carbon Development Hypothesis under EKC Scheme in Portugal, Italy, Greece, and Spain. Energies 2021. 14(1), 250. https://doi.org/10.3390/en14010250
The Impact of Renewable Energy and Economic Complexity on Carbon Emissions in BRICS Countries under the EKC Scheme
Abstract:
Economic complexity makes it possible to assess the development of the countries, the relations of innovation, and the differentiation of products. The Impact of Renewable Energy and Economic Complexity on Carbon Emissions in BRICS Countries under the EKC Scheme considers the links between the hypotheses of the Kuznets environmental curve and economic complexity using panel data for the group of BRICS countries (Brazil, Russia, India, China, and South Africa) from 1990 to 2015. As an econometric strategy, this study considered the panel fully modified least squares (FMOLS), panel dynamic least squares (DOLS), fixed effects (FE), and Panel Quantile Regression. The empirical results showed that economic complexity, income per capita, renewable energy, and carbon dioxide emissions are integrated with the first difference when applying the unit root test. The arguments of Pedroni and Kao cointegration tests were also used. According to these results, the variables used in this research are cointegrated in the long run. The results validated the arguments of the EKC hypothesis, i.e., the income per capita and squared income per capita are positively and negatively correlated with CO2 emissions. Moreover, economic complexity and renewable energy aim to improve environmental damage and climate change.
Quotation:
Leitão, N.C., Balsalobre-Lorente, D., Cantos-Cantos, J.M. The Impact of Renewable Energy and Economic Complexity on Carbon Emissions in BRICS Countries under the EKC Scheme. Energies 2021, 14, 4908. https://doi.org/10.3390/en14164908
The Causality between Energy Consumption, Urban Population, Carbon Dioxide Emissions and Economic Growth.
Abstract:
This article assesses the relationship between electricity consumption and urbanisation by comparing the econometric results of distributed autoregressive lag (ARDL) and vector autoregressive lag (VAR) for the period 1960-2015. Granger causality is also applied to the Portuguese economy. In this study, we use some hypotheses that describe the link between electricity consumption, urban population, carbon dioxide emissions, and economic growth. The motivation of this research focuses on the relationship between electricity consumption (energy consumption) and urban population, supported by the theoretical and empirical contributions of energy and urban economics. The empirical results show that electricity consumption exhibits causality with economic growth, urban population, carbon dioxide emissions, and international trade. This research also proves that there is cointegration among all variables in the long run. Authored by Nuno Carlos Leitão e Daniel Balslobre-Lorente, this chapter (nº5) is part of the book “Econometrics of Green Energy Handbook”, which shares essential insights into the dynamic between energy innovations, environmental guidelines, and economic development, demonstrates how globalization has led to the development of greener energy technologies, paints a global picture using case studies on energy innovation in numerous countries and discusses both technological and policy aspects of green energy development.
Quotation:
Leitão, N.C. & Lorente, D. B. (2020): The Causality between Energy Consumption, Urban Population, Carbon Dioxide Emissions and Economic Growth. Springer Handbook Green Energy Series: Econometry of Green Energy- Economy and Technological and Development. Publisher: Springer.
