Migration and labour markets in OECD countries: a panel cointegration approach

This article examines the interaction between immigration and the host labour market of 14 Organization for Economic Co-operation and Development (OECD) countries using nonstationary panel data methodology. We estimate a trivariate Vector Error Correction Model (VECM) and derive causality tests to simultaneously assess the long- and short-term macroeconomic impact of newcomers on wages and unemployment levels in the host country. The results suggest that an increase of migrants is likely to increase wages in the destination countries in the short run but to increase them in the long run. There is no evidence of adverse effects on unemployment due to immigration in short and long-term except for Anglo-Saxon countries in the short term. Our findings also show that immigration is conditioned by levels of unemployment and wages especially in Anglo-Saxon countries.     

Renewable and nonrenewable energy production and economic growth in sub-Saharan Africa: a hidden cointegration analysis

The objective of this article is to investigate the hypothesis of asymmetric effects between economic growth and renewable and nonrenewable energy production. To this end, both the linear cointegration and the hidden cointegration methodology are employed, with the latter allowing a straightforward delimitation of the data in an economically sensible way. We test for the presence of hidden cointegration across 12 sub-Saharan African countries spanning the period 1971–2011. The empirical results confirm the growth hypothesis for a subset of countries, suggesting that their growth could be adversely affected by conservation policies, while for a second subgroup of countries they confirm the conservation hypothesis, indicating that conservation policies could enhance the growth process in these countries. The differentiation of the results could be captured entirely by the linear approach, indicating that the lack of cointegration between renewable energy production and economic growth found in previous studies may be due to failures to properly delimit the nonlinearity property in the data.     

Reassessing forest products demand functions in Europe using a panel cointegration approach

In a panel of European countries, we analyse paper products, sawnwood and wood panels consumption data. With this object, we use a classical demand model where national consumption depends on real GDP and real prices. In contrast to previous panel estimations in the literature, we highlight non-stationarity time series which can lead to spurious regressions. We explicitly take into account the issue by using recent panel cointegration techniques. Cointegration is present for printing paper and fibreboard, though less clear cut for other products. Then we estimate demand elasticities and find that GDP elasticities are significantly lower than estimates from the literature. Finally, we simulate the implications of modified demand elasticities by using a partial equilibrium model of the forest sector. For most products, changes in elasticities would lead to lower projected demand and lower prices over a 20-year time horizon. Lower demand for solid wood and wood fibre would lead to less tensions with fuel wood- and wood-based chemical markets. In a context of rising interest for renewable bio-based products, updated long-term demand models contribute to the analysis of the forest sector’s sustainability.     

Correlates of economic growth in developing countries: a panel cointegration approach

The inflow of foreign direct investment (FDI) has been found to play a crucial role in the economic growth of receiving countries. Using panel cointegration techniques, this perception was found to be mitigated by an empirical approach that yields different results from previous studies. While the growth in real FDI has an influence on real GDP growth across developing countries in the short-run, year-to-year periods, it does not explain real GDP in the long-run. Rather, it appears to be the economic factors internal to a country that have the most influence on real GDP over time: human capital (measured by literacy rates), export trade, and monetary and fiscal policy.     

Religiosity and income: a panel cointegration and causality analysis

In this article, we examine the long-run relationship between religiosity and income using retrospective data on church attendance rates for a panel of countries from 1930 to 1990. We employ panel cointegration and causality techniques to control for omitted variable and endogeneity bias and test for the direction of causality. We show that there exists a negative long-run relationship between the level of religiosity, measured by church attendance, and the level of income, measured by the log of GDP per capita. The result is robust to alternative estimation methods, potential outliers, different samples, different measures of church attendance and alternative specifications of the income variable. Long-run causality runs in both directions, higher income leads to declining religiosity and declining religiosity leads to higher income.     

Trade openness and child health: a heterogeneous panel cointegration analysis

ABSTRACT

In this paper, we examine the impact of trade openness on child health, based on a cross-country panel data set covering 66 countries for the period 1960–2013. To account for the time-series properties of the data and potential cross-country heterogeneity in the impact of trade openness, the study employs heterogeneous panel cointegration techniques that are robust to omitted variables and endogeneity problems. The results reveal that trade openness and child health are cointegrated, and that trade works to reduce the child mortality rate significantly in the long-run. The results are robust to the methodology and trade openness and child health indicators employed, as well as to the presence of cross-sectional dependence and changes in the sample composition. The findings also suggest that the impact of trade on child health tends to be stronger in countries with better institutional quality, lower corruption, good governance, political stability, and sound policies that promote private sector development.     

Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies

The purpose of this article is to empirically investigate the impact of economic growth, oil consumption, financial development, industrialization and trade openness on carbon dioxide (CO₂) emissions, particularly in relation to major oil-consuming developing economies. This study utilizes annual data from 1980 to 2012 on a panel of 18 developing countries. Our empirical analysis employs robust panel cointegration tests and a vector error correction model (VECM) framework. The empirical results of three panel cointegration models suggest that there is a significant long-run equilibrium relationship among economic growth, oil consumption, financial development, industrialization, trade openness and CO₂ emissions. Similarly, results from VECMs show that economic growth, oil consumption and industrialization have a short-run dynamic bidirectional feedback relationship with CO₂ emissions. Long-run (error-correction term) bidirectional causalities are found among CO₂ emissions, economic growth, oil consumption, financial development and trade openness. Our results confirm that economic growth and oil consumption have a significant impact on the CO₂ emissions in developing economies. Hence, the findings of this study have important policy implications for mitigating CO₂ emissions and offering sustainable economic development.     

Renewable energy innovations in Europe: a dynamic panel data approach

We investigate the determinants of renewable energy R&D intensity and the impact of renewable energy innovations on firm performance, using several dynamic panel data models. We estimate these models using a large data set of European firms from 19 different countries, with some patenting activity in areas related to renewable energies during the 1987 to 2007 period. Our results confirm our priors on the determinants of the rapid development of renewable energy R&D intensity during the past decades. Additionally, we find evidence that renewable patent intensity has a significant dynamic impact on the stock market value of firms.     

Price convergence in US cities: a cointegration approach with two structural breaks

This article investigates how the price indices of major cities of the US respond to the shock from a city and from monetary policy. We find that the crisis of Bretton Woods system in 1968 and the oil crisis in 1974 should be incorporated as structural breaks in monetary policy variables and price indices. Using cointegration technique with structural break in our aggregated data, we find that the average half-life is 1.75 years, which is closer to what some of others found in disaggregated data, and that the interest rate is an effective tool for controlling cities’ price in short run.     

Economic growth and carbon emissions: evidence from CIVETS countries

ABSTRACT

This paper examines whether a long-run relationship exists between CO₂ emissions and selected variables: real gross domestic product per capita, inward stock of foreign direct investments, gross fixed capital formation, industry, value added and energy use per capita for Colombia, Indonesia, Viet Nam, Egypt, Turkey and South Africa countries in the period of 1989–2016. We used panel unit root testing, followed by panel cointegration tests and panel causality. The results clearly prove the existence of a bidirectional long-run causal relationship between all the variables except between CO₂ emissions and GDP and CO₂ emissions and GFCF. Major finding of the short-run causality analysis is that CO₂ emission in the short run does not result in changes of other variables. On the other hand, all variables except foreign direct investments (FDI) cause the changes in the CO₂ emissions, and there is a positive bidirectional causal relationship between GDP and FDI, between GFCF and FDI, and between GFCF and IVA. Finally, positive unidirectional causal relationship also exists, running from GDP to IVA, GDP to ENUSE, IVA to FDI and ENUSE to FDI.     

Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence

This paper investigates the time series properties of per capita CO₂ emissions and per capita GDP levels for a sample of 86 countries over the period 1960-2000. For that purpose, we employ a state-of-the-art panel stationarity test which incorporates multiple shifts in level and slope, thereby controlling for cross-sectional dependence through bootstrap methods. Our analysis renders clear-cut evidence that per capita GDP levels are nonstationary for the world as a whole while per capita CO₂ is found to be regime-wise trend stationary. The analysis of country-groups shows that for Africa and Asia, per capita CO₂ is best described as nonstationary, while per capita GDP appears stationary around a broken trend. In addition, we find evidence of regime-wise trend stationarity in both variables for the country-groups consisting of America, Europe and Oceania. The results of our analysis carry important implications for the statistical modelling of the Environmental Kuznets curve for CO₂, since the differing order of integration in both variables for the world as a whole and for Africa and Asia calls into question the validity of panel cointegration techniques which assume that both variables are nonstationary and cointegrated with one another. Cointegration techniques would not be appropriate either for the case of America, Europe and Oceania which are characterised by per capita GDP and CO₂ emissions being stationary around a broken trend. Similar conclusions are reached when we analyse country-groups based on levels of development. Failure to properly characterise the time series properties of the data by not controlling for an unknown number of structural breaks and for cross-sectional dependence could be responsible for the fragility and lack of robustness surrounding the estimation of environmental Kuznets curves.     

Interdependence between US and European military spending: a panel cointegration analysis (1988-2013)

The aim of this article is to study the interdependence of military spending between US and a panel of European countries in the period 1988–2013. The empirical estimation is based on a: (1) unit root tests and a cointegration analysis and (2) fully modified ordinary least squares and dynamic ordinary least squares estimations. General results highlight that military spending of European countries is: (1) positively associated with US military spending and (2) negatively associated with average military spending of other European countries.     

Determinants of renewable energy adoption in China and India: a comparative analysis

This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emission to renewable energy generation and from renewable energy generation to output, whereas in the long run, the variables have bidirectional causality. Causalities in China give a rather different scenario, with a short-run unidirectional causality from output to renewable energy and from carbon emission to renewable energy generation. In the long run, for China, unidirectional causality is found from output to renewable energy generation, while bidirectional causality is found between carbon emission and renewable energy generation.     

On the Robustness of Robustness Checks of the Environmental Kuznets Curve Hypothesis

Since its first inception in the debate on the relationship between environment and growth in 1992, the Environmental Kuznets Curve hypothesis (EKC hereafter) has been subject of continuous and intense scrutiny. The most recent line of investigation criticizes the EKC hypothesis on more fundamental grounds, in that it stresses the lack of sufficient statistical testing of the empirical relationship and questions the very existence of the notion of EKC. Attention is in particular drawn on the stationarity properties of the series involved—per capita emissions or concentrations and per capita GDP—and, in case of presence of unit roots, on the cointegration property that must be present for the EKC to be a well-defined concept. Only at that point can the researcher ask whether the long-run relationship exhibits an inverted-U pattern. On the basis of panel integration and cointegration tests for sulfur, Stern (2004) and Perman and Stern (1999, 2003) have presented evidence and forcefully stated that the EKC hypothesis does not exist. In this paper we ask whether similar strong conclusions can be arrived at when carrying out tests of system fractional integration and cointegration. As an example we use the controversial case of carbon dioxide emissions. The results show that more EKCs come back into life relative to traditional integration/cointegration tests. However, we confirm that the EKC hypothesis remains a fragile concept.      

An empirical analysis of remittance flows into West African Economic and Monetary Union: a panel time-series approach

The article empirically analyses the motivations and long-run economic outcomes of remittance inflows into the West African Economic and Monetary Union. Using Westerlund’s (2007) ECM for panel time series and data spanning 1975–2011, the results show that there is no evidence of a long-run impact of remittances on income per capita in the region. The inflows seem to be motivated by investment, but the money may be used to promote consumption instead. This phenomenon could be characterized by information asymmetry between migrants and the recipients.     

On inferring individual behaviour from market behaviour in a predetermined quantities model

This article develops the theoretical basis of individual behaviour recovered from market behaviour in a predetermined quantities model. As applied economists argue, an inverse demand system may be empirically sound within the framework of classical demand theory. However, it should not lead to the conclusion that the market responses for changes in quantity should be used to see welfare effects instead of the individual responses by price changes as far as the market is concerned. It shows theoretically and empirically how individual responses can be recovered from market responses in a predetermined quantities model. It suggests that the fundamental results of this article should be used on interpreting empirical results from the predetermined quantities models.     

Distribution Dynamics of CO<Subscript>2</Subscript> Emissions

This paper uses nonparametric methods to examine the convergence in CO₂ emissions per capita on a sample of 100 countries for the period 1966–1996. Industrial countries show a convergence pattern. However, there is little evidence of convergence for the whole sample.     

Empirical study on the determinants of CO2 emissions: evidence from OECD countries

This article empirically investigates the Environmental Kuznets Curve (EKC) for CO₂ emissions in the cases of 11 OECD countries by taking into account the role of nuclear energy in electricity production. The autoregressive distributed lag approach to cointegration is employed as the estimation method. Our results indicate that energy consumption has a positive impact on CO₂ emissions in most countries in the study. However, the impact of trade is not statistically significant. The results provide evidence for the role of nuclear power in reducing CO₂ emissions only in some countries. Additionally, although the estimated long-run coefficients of income and its square satisfy the EKC hypothesis in Finland, Japan, Korea and Spain, only Finland's EKC turning point is inside the sample period of the study, providing poor evidence in support of the EKC hypothesis.     

Economic Growth and CO2 Emissions in the European Union

This paper examines the relationship between economic growth and CO₂ emissions in the European Union. A panel data analysis for the period 1981 to 1995 is applied in order to estimate the relationship between Gross Domestic Product (GDP) growth and CO₂ emissions in ten selected European countries. The analysis shows important disparities between the most industrialised countries and the rest. The results do not seem to support a uniform policy to control emissions; they rather indicate that a reduction in emissions should be achieved by taking into account the specific economic situation and the industrial structure of each EU member state.     

Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates

This article contributes to the discussion on the dynamic nexus of renewable energy consumption and unemployment by incorporating nonlinear cointegration and causality analysis. Using a sample of 80 countries spanning the period 1990–2013 and the advanced generation of unit root, cointegration and nonlinear Granger causality methodological approaches in panel data, we obtain mixed results about the impact of renewable energy consumption on unemployment. Although the total findings document a positive impact of renewable energy consumption on unemployment, disaggregated data across specific regions, such as Asia and Latin America, highlight the favourable effect on unemployment, implying that the effect of renewable energy consumption on jobs creation depends on the cost of adopting renewable energy technologies and energy efficiencies that seem to vary across the regions under investigation.