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This research studied the impacts of the environmental Kuznets curve and the determinants of economic growth for Visegrad countries from 1990 to 2018. This paper reflects on the effects of renewable and non-renewable energy, urban population, foreign direct investment, economic growth, and carbon dioxide emissions. According to our results, the panel of unit root tests showed that the variables under study are integrated into the first differences. Considering the empirical results for the environmental Kuznets curve, we observe that economic growth is positively correlated with pollution emissions; nevertheless, the squared income per capita is negatively impacted by carbon dioxide emissions. Energy consumption increases carbon emissions, and foreign direct investment confirms the pollution halo hypothesis. Therefore, the econometric results showed that renewable energy consumption promotes regional growth. Consequently, urban population and foreign direct investment positively correlate with economic growth.

Objectives This study aims to empirically test the smooth adjustment hypothesis (SAH) in the Portuguese labour market during 2000–2018, considering changes in employment, wage, productivity, consumption and the marginal intra-industry trade. Research Design So, following the literature, a greater marginal intra-industry trade intensity should reduce adverse shocks expressed in temporary inefficiencies such as undesirable job search costs and workers’ relocation and retraining. According to state of the art, our research strategy considered a battery of diagnosis tests about the random generating process of variables included in a dynamic panel data model. Methods The extensive work developed in this paper is a further step to introduce recent techniques such as the Method of Moments Quantile Regression and the cointegration panel models to infer long-term dynamics. Results and Conclusions Overall, the main point is that we find evidence confirming the hypothesis mentioned above, showing that mutual interactions reduce adverse shocks above mentioned. Thus, the study demonstrates that the marginal intra-industry trade promotes smooth adjustment in the Portuguese economy.

Submitted by Arnaldina Baeta (arnaldina.baeta@esg.ipsantarem.pt) on 2020-06-16T09:33:06Z No. of bitstreams: 1 NunoLeitao_AgriculturalEco_2020.pdf: 225345 bytes, checksum: de4130bd18796bbdf97f72fc842b9953 (MD5) Made available in DSpace on 2020-06-16T09:33:39Z (GMT). No. of bitstreams: 1 NunoLeitao_AgriculturalEco_2020.pdf: 225345 bytes, checksum: de4130bd18796bbdf97f72fc842b9953 (MD5) Previous issue date: 2020 info:eu-repo/semantics/publishedVersion

The consequences of climate change heavily influence the Mediterranean region. However, the Portuguese CO2 emission shows a decreasing tendency, the evolution of livestock and animal production have significantly increased its level in agriculture. The article investigates the role of the agricultural output and energy consumption in the environmental pollution in Portugal. It explores the short and long-run cointegration between carbon dioxide emissions and agricultural activities such as crop production, livestock production, and agricultural land use applying Autoregressive Distributed Lag (ARDL), Granger causality, Newey-West Standard Errors regression, as well as ARIMA model for the period of 1960-2015. The causality relation between CO2 emissions and agriculture is also analyzed. The Augmented Dickey-Fuller (ADF) unit root tests suggest that all variables are stationary. ARDL model demonstrates a long-run relationship between CO2 emissions, agriculture, and energy consumption. Results indicate that agricultural activities and energy use have a positive effect on environmental pollution; therefore, the Portuguese agriculture needs to achieve a higher level of sustainable development, with reducing the impact of animal husbandry and intensive crop production.

During the last six decades, economic growth has been closely influenced by tourism, energy use and environmental degradation. This connection has involved several effects over energy mix, like, for example, a rising share of renewable energy sources or more efficient management in the tourism industry, which has enhanced a sustainable economic growth with lower carbon emissions. To explore these effects over economic growth for a panel of Top 10 between 1995 and 2015, we explore the role of international tourism, renewable energy use and carbon emissions. The aim of this study is to validate the Tourism-Led Growth Hypothesis (TLGH) for selected Top 10 tourism destinations. Furthermore, how structural changes impact the energy mix and their effect over income levels is also tested via the driving mentioned above forces (i.e. renewable energy use, international tourism and CO2 emissions). Through FMOLS and DOLS econometric estimations, the TLGH is confirmed. The same methodology endorses the existence of a dampening effect which raise the moderation effect between renewable energy sources and carbon emissions over economic growth. Thus, a moderating effect of the promotion of renewable sources over economic growth, via scale effect, is also endorsed.

This study discusses the relationship between tourism demand and carbon dioxide (CO2) emissions, as well as the correlation between renewable energy and CO2 emissions. To achieve this, a robust panel methodology is employed for EU-28 countries. First, preliminary descriptive summary statistics and correlation analysis. Second, unit root tests in panel data (Levin et al. in J Econom, 108:1–24, 2002; ADF–Fisher Chi-square, and Phillips–Perron) to establish stationarity traits of the outlined variables Subsequently, we use Pedroni (Rev Econom Stat 83(4):727–731, 2001, Econom Theory 20(03):597–625, 2004), a panel data Random Effects (RE), DOLS (Panel Dynamic Least Squares) and panel Granger causality test, as econometric methodologies for long-run equilibrium relationship and detection of causality flow, respectively. The econometric empirical results confirm that there exists an Inverted-U linkage between economic growth and environmental degradation, which validates the Environmental Kuznets Curve (EKC) hypothesis for EU-28 countries. Furthermore, empirical results show a negative association between tourist arrivals and CO2 emissions, making it possible to infer that the tourism sector accentuates climate change. Regarding renewable energy, the results validate the negative relationship between this variable and carbon dioxide emissions, which is in line with previous studies. This result validates the position of the United Nation Sustainable Development Goals (UN-SDG’s) of access to clean energy (renewable energy) and mitigation of climate change issues. This empirical study also presents conclusions that are useful for policymakers and stakeholders.

This study evaluates the relationship between electric power consumption and urbanization comparing the econometric results of autoregressive distributed lag (ARDL) and vector autoregressive (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 electric power consumption, urban population, carbon dioxide emissions, and economic growth. The motivation of this research focuses on the relationship between electric power consumption (energy consumption) and urban population, supported by the theoretical and empirical contributions of energy and urban economics. The empirical results show that electric power consumption presents a causality with economic growth, urban population, carbon dioxide emissions, and international trade. This research also proves that there is cointegration between all variables in the long run. This paper presents significant contributions to economic policy, showing that there exists an association between energy consumption and economic growth.

The article examines the effects of renewable energy, trade, carbon dioxide emissions and international tourism on economic growth in EU-28, considering panel data for the period 1995-2014. The investigation finds the new determinants of economic growth. The empirical results find support from the panel fully modified least squares (FMOLS), panel dynamic least squares (DOLS) and fixed effects (FE) as estimation techniques. The econometric results are consistent with the existing literature. The variables considered in this study are cointegrated in the first difference, as suggested by the panel unit root test. The present study seeks to advance the knowledge of the growth determinants, paying attention to the effect that both the tourism and energy sector exerts on economic growth for EU-28 countries. The empirical results demonstrate that trade openness, tourism arrivals and renewable energy encourage economic growth. Therefore, according to the econometric results, renewable energy allows improving environmental quality. However, CO2 emissions are positively correlated with economic growth, showing that growth is directly correlated by climate change and greenhouse gas. The results also confirm the tourism-led growth hypothesis (TLGH) for the panel. Finally, the empirical results confirm that trade openness, energy use and international tourism contribute to enhance economic growth. Based on these findings, further insights and policy prescription are offered in the concluding section.Graphical abstract.

This paper evaluates the link between economic growth, renewable energy, tourism arrivals, trade openness, and carbon dioxide emissions in the European Union (EU-28). As an econometric strategy, the research uses panel data. In the first step, we apply the unit root test, and the results demonstrated 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 panel fully modified least squares (FMOLS), panel dynamic least squares (DOLS), and generalized moments system (GMM-System) estimator are considered in this research. The econometric results proved that trade openness and renewable energy decreased climate change and environmental degradation. The empirical study also found a positive effect of economic growth on carbon dioxide emissions. Moreover, tourism arrivals are negatively correlated with carbon dioxide emissions, showing sustainability practices of the tourism sector on the environment. Furthermore, carbon dioxide emissions in the long run present a positive impact, indicating that climate change increases. In this study, we also consider the recent methodology of Dumitrescu–Hurlin to observe the causality and the relationship between renewable energy, trade openness, economic growth, tourism arrivals, and carbon dioxide emissions.

This analysis 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.

Mitigation of carbon dioxide emissions has become an utmost important global agenda, keeping into consideration the associated environmental hardships. As a result, it is important to unearth the factors which can neutralize carbon emissions to transform the world economy into a low-carbon one. Against this backdrop, this study explores the carbon dioxide neutralizing effects of economic growth, international tourism, clean energy promotion, and technological innovation in the context of five European Union (EU-5) nations during the 1990–2015 period. This study's main contribution is in terms of its approach to test the interaction effect between foreign direct investment (FDI) inflows and energy innovation on carbon dioxide emissions. The econometric analysis chronologically involves the employment of unit root, cointegration, causality, and regression methods. Overall, the findings support the inverted-U-shaped economic growth-carbon dioxide emissions nexus to verify the Environmental Kuznets Curve (EKC) hypothesis. Besides, the Pollution Haven Hypothesis in the context of the selected panel is also verified as higher FDI inflows are seen to boost the carbon dioxide emission levels. The results also confirm that energy innovation moderates the harmful effect of air transport (a proxy for international tourism) on carbon dioxide emissions during the developing stage of the tourism industry. On the other hand, renewable energy promotion is found to curb carbon dioxide emissions. These findings suggest that the European governments need to enhance investments in their respective renewable energy sectors and simultaneously ensure the development of clean industries, which can collectively help these nations become carbon-neutral in the future.

Economic complexity makes it possible to assess the development of the countries, the relations of innovation, and the differentiation of products. The article 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.

Submitted by Arnaldina Baeta (arnaldina.baeta@esg.ipsantarem.pt) on 2020-06-15T13:44:51Z No. of bitstreams: 1 NunoLeitao_AgriculturalEcon_2019.pdf: 674048 bytes, checksum: f71e10340eec192a791a0896ae7956c9 (MD5) Made available in DSpace on 2020-06-15T13:46:57Z (GMT). No. of bitstreams: 1 NunoLeitao_AgriculturalEcon_2019.pdf: 674048 bytes, checksum: f71e10340eec192a791a0896ae7956c9 (MD5) Previous issue date: 2019 info:eu-repo/semantics/publishedVersion

The aim of this article is to identify the main determinants of international tourism flows to Brazil during the period 2004–2013, using the gravity model. The study adopted an econometric strategy of panel data (pooled ordinary least squares estimators that were heteroscedasticity corrected—together with the generalized method of moments system estimator). The variables of a common border and geographical distance showed that proximity was essential to explain tourism demand for Brazil. The exchange rate was positively correlated with tourism demand. The results indicate that the “Aquarela Plan 2020,” developed by the Ministry of Tourism for promotion of the country abroad, is consistent with the main determinants of international tourism demands for Brazil.

The determinants of intra-industry agri-food trade are analysed to only a limited extent in the literature. This article investigates the industry-specific determinants of vertical intra-industry agri-food trade between new member states of the EU and the other EU countries for the period 1999–2010 by applying a dynamic panel data model. Results suggest that IIT is mainly low vertical in nature, suggesting regional export of low-quality products to EU markets. Results also show that vertical product differentiation and FDI are positively related to VIIT, suggesting that quality growth and investments foster vertical intra-industry trade. As to productivity and factor endowments a negative relationship with VIIT was found, implying the labour abundant and similar nature of NMS agricultural sectors.

This paper investigates the link between economic growth, tourism arrivals and climate change. In this research, we formulate three equations. The first equation evaluates the correlation between economic growth and tourism arrivals. The second model considers carbon dioxide emissions and tourism arrivals. Finally, we consider the determinants of tourism arrivals. We selected the period 1990-2009 for European economy using the panel data. The equation that evaluates economic growth demonstrates that tourist arrivals, energy consumption, carbon dioxide emissions and openness trade are positively correlated with economic growth. A large number of studies consider that there is a positive correlation between tourism and climate change. However, some studies show that there is an alternative hypothesis i.e. a negative association between tourist arrivals and climate change. Our results are in this direction. When we apply the fixed effects and GMM-system, the results show that income per capita, and energy consumption present a positive impact on CO2 emissions. The econometric results also demonstrate that tourism arrivals and squared income per capita are negatively correlated with CO2 emissions. The equation that analyses the determinants of tourism arrivals demonstrates that income per capita, openness trade and energy consumption present a positive effect on tourism arrivals.

The climate change has inspired the interest of the academic community in the most diverse areas of knowledge. This study tests and revisited the environmental Kuznets curve assumptions for Portugal. The econometric strategy used in this research is time series (ARIMA model, OLS estimator, ARCH regression, VAR model, and Granger causality) for the time period 1980-2013.The econometric results show that the income per capita and squared income per capita are according to the expected signs, i.e. a positive impact of income per capita on carbon dioxide emissions, and a negative effect of squared income per capita on carbon dioxide emissions. The empirical study also demonstrates that Portugal presents a dependence on energy consumption. The openness trade and foreign direct investment are negatively correlated with carbon dioxide emissions.

This research considers the relationship between energy consumption and foreign direct investment (FDI) for the period 1990-2011. As econometric strategy, we use unit root test and panel data. The empirical results illustrate that the income per capita and political globalization present a positive impact on energy consumption. The selected components of globalization (cultural, social and political) show that these variables promote Portuguese foreign direct investment. The econometric models also considered two control variables, trade openness and exchange rate. These proxies are positively correlated with FDI. The variables of income per capita and the squared income per capita validate the environmental Kuznets curve assumptions. info:eu-repo/semantics/publishedVersion

This research examines the determinants of intra-industry trade (IIT) in the automobile components sector in Romania. Following previous studies, our manuscript applies a gravity model equation with panel data. The dependent variable used is IIT in automobile components. The analysis of the determinants of IIT is undertaken using a panel approach. The panel data models were estimated with Pooled OLS, fixed effects (FE) and random effects (RE) estimators. The results are presented with country characteristics as explanatory variables, and the models have four statistically significant variables. This research adds significant contribution to the intra-industry trade topic. Little academic attention has been devoted to the Romanian experience. The trade in the automobile components sector between Romania and some European countries (Austria, Belgium, Bulgaria, Croatia, Czech Republic, France, Germany, Hungary, Italy, Netherlands, Poland and Turkey) was examined, between 1995 and 2008. Using a panel data approach, the results show a positive correlation between endowments and IIT. The results indicate that the Romanian IIT is explained by differentiated quality, i.e. vertical specialization. Our study also consider economic dimension, this proxy confirms the positive effect of IIT, and so the market size is important to differentiated product. The economic model also confirms the hypothesis that volume of trade increases if the transportation costs decreases.

This study examines the linkages among economic growth, energy consumption, financial development, trade openness and CO2 emissions over the period of 1975Q1-2011Q4 in the case of Indonesia. The stationary analysis is performed by using Zivot-Andrews structural break unit root test and the ARDL bounds testing approach for a long run relationship between the series in the presence of structural breaks. The causal relation between the concerned variable is examined by the VECM Granger causality technique and robustness of causal analysis is tested by innovative accounting approach (IAA). Our results confirm that the variables are cointegrated; it means that the long run relationship exists in the presence of structural break stemming in the series. The empirical findings indicate that economic growth and energy consumption increases CO2 emissions, while financial development and trade openness compact it. The VECM causality analysis has shown the feedback hypothesis between energy consumption and CO2 emissions. Economic growth and CO2 emissions are also interrelated i.e. bidirectional causality. Financial development Granger causes CO2 emissions. The study opens up a new policy insights to control the environment from degradation by using energy efficient technologies. Financial development and trade openness can also play their role in improving the environmental quality.

This paper investigates bilateral intra-industry trade between the United States and its major trading partners over the period 1995–2008. Intra-industry trade (IIT) is decomposed into horizontal (HIIT) and vertical (VIIT) components. HIIT dominates the total two-way trade of the United States and its share relative to VIIT has been rising over time, particularly with neighbouring trade partners and with China. Using pooled panel data, country-level determinants of IIT, HIIT and VIIT are investigated. The results, overall, tend to conform with a priori expectations and provide empirical support for a number of propositions suggested by theory. Findings indicate that the relative similarity of the economies of trading partners, their geographical proximity, FDI and overall market size are important influences on bilateral HIIT flows for the United States. VIIT, on the other hand, is found to be driven in large part by economic differences between partners as well as the market size and closeness of trading partners.

This paper examines the relationships between economic growth , energy consumption, trade openness and carbon dioxide emissions for the period 1970-2009 in case of Portugal. In doing so, we use a time series (OLS estimator, the regression with Newey -West standard errors, and ARMA model). We also apply the test of unit root (the Argument Dickey-Fuller test, ADF). The empirical results show that economic growth is directly linked with carbon dioxide emissions. The energy consumption and international trade have positive impact on carbon dioxide emissions. Our results are according to the existence of environmental Kuznets Curve.

This article investigates the relationship between cultural globalization and economic growth for the Portuguese experience for the period 1995-2011. In this research we apply a static and dynamic panel data. The initial GDP per capita is negatively correlated with economic growth. This result is according to theoretical and empirical studies. This paper shows that international trade and cultural globalization promote the economic growth. As we expected the inflation has a negative impact on economic growth.

This study investigates the existence of environmental Kuznets curve (EKC) for carbon dioxide (CO2) emissions and its relationship with economic growth, energy consumption and globalization over the period of 1990-2010. We apply a dynamic panel data (GMM-system estimator) using the data of selected 18 countries. This estimator permits to solve the problems of serial correlation, heteroskedasticity and endogeneity for some explanatory variables. The environmental consequences of economic growth are according to environmental Kuznets (EKC) hypothesis. Globalization seems to be a main engine that provides a way to enhance production intensively by utilizing abundant domestic resources efficiently. The energy consumption has positive impact on CO2 emissions. Urbanization improves environmental quality by lowering CO2 emissions, i.e an inverted-U shaped relationship between urbanization and CO2 emissions.

This manuscript analysis the relationships between urban agglomeration and economic growth. We apply a static and dynamic panel data approach from European Union (EU-27), the United States, Japan, New Zealand and Mexico for the period 1990 to 2008. The results show that growth is highly correlated with urban agglomeration. The econometric models evidence that international trade is an important vehicle to expand the economic growth. The models also indicate that human capital promotes the economic growth.

The objective of this research is to investigate labour market adjustment in Australian manufacturing industry over the period 1992–2000, a time of significant adjustment in the country’s trade pattern. Specifically, the focus is on the so-called smooth adjustment hypothesis, which posits that, compared with inter-industry trade, intra-industry trade (IIT) expansion is associated with relatively lower factor adjustment costs. A dynamic panel data approach (GMM-System) is employed. We find that there is a negative correlation between changes in employment and increased IIT. This result provides support for the smooth adjustment hypothesis. Given the rise in IIT as a proportion of Australia’s overall trade during the period under review, the resulting trade-related adjustment in labour markets is likely to have been less than otherwise expected.

This paper investigates the relationship between cultural globalization and economic growthin case of Portuguese over the period of 1995-2008 uisng panel data. Our emoirical eivdence reveals that the initial GDP per capita is negatively correlated with economic growth. This paper shows that international trade and cultural globalization promote economic growth.

PurposeThis paper aims to examine the determinants of vertical intra‐industry trade (VIIT) in the automobile components industry between Portugal and the European Union 27 (EU‐27) and the BRIC countries (Brazil, Russia, India and China) during the period 1995‐2006.Design/methodology/approachThe paper formulates some theoretical hypotheses that may explain the fragmentation of the production in the automobile industry. These hypotheses are tested using a dynamic panel data analysis. The estimates are more reliable because the instruments used control for the potential endogeneity of the explanatory variables.FindingsThe results indicate that VIIT is a positive function of the difference in per‐capita GDP between Portugal and its trading partners, confirming the Linder hypothesis. Moreover, there is statistical evidence that geographical distance influences negatively this type of VIIT between Portugal and the EU‐27 only. The results do not confirm the hypothesis that there is a positive correlation between differences in endowments and VIIT in the automobile components sector.Originality/valueThis paper confirms some relevant theoretical hypotheses on the causes of the fragmentation/outsourcing. The good results obtained with the Arellano and Bond GMM system estimator suggest that the building of dynamic theoretical models will be of interest to academic researchers in fragmentation theory.