The impact of population on CO<Subscript>2</Subscript> emissions: evidence from European countries

This paper analyses the impact of population growth on CO₂ emissions in European Union countries. Traditionally, researchers have assumed a unitary elasticity of emissions with respect to population growth. In this study population is treated as a predictor in the model, instead of being included as part of the dependent variable (per capita emissions), thus relaxing the above-mentioned assumption of unitary elasticity. We also contribute to the existing literature by taking into account the presence of heterogeneity in the sample and considering a dynamic specification. The sample covers the period 1975–1999 for the current European Union members. Our results show that the impact of population growth on emissions is more than proportional for recent accession countries whereas for old EU members, the elasticity is lower than unity and non significant when the properties of the time series and the dynamics are correctly specified. The different impact of population change on CO₂ emissions for the current EU members should therefore be taken into account in future discussions of climate change policies within the EU.      

Scale,Technique and Composition Effects in Manufacturing SO<Subscript>2</Subscript> Emissions

Combining two data sources on emissions with value-added and employment data, this paper constructs six data bases on sulfur dioxide (SO₂) intensities that vary across countries, sectors and years. This allows us to perform a growth decomposition exercise where the change in world manufacturing emissions is decomposed into scale, composition and technique effects. The sample covers the period 1990–2000, and includes 62 countries that account for 76% of world-wide emissions. While manufacturing activity has increased by a rough 10% (scale effect), we estimate that emissions have fallen by about 10%, thanks to the adoption of cleaner production techniques (the technique effect) and a small shift towards cleaner industries (between-sector effect). As output and productivity gains have been biased towards large emerging countries like China and India, which are both clean in terms of emissions per unit labor and dirty in terms of emissions per dollar, the sign and magnitude of the between-country effect depends on the choice regarding the scaling factor ( − 2% for employment,  + 25% for value-added, with a corresponding adjustment of the technique effect). The paper also shows that these estimates are robust to changes in aggregation across entities (regions or countries) and across industries, and that composition changes are correlated with changes in prices and trade intensities.

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Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.      

The Stochastic Convergence of CO<Subscript>2</Subscript> Emissions: A Long Memory Approach

In response to equity concerns surrounding the spatial distribution of CO₂ emissions and assumptions of CO₂ convergence within some climate models, this paper examines the convergence of CO₂ emissions within the OECD over the period 1870–2004. More specifically, using the Local Whittle estimator and its variants we examine whether relative per capita CO₂ emissions are fractionally integrated, that is they are long memory processes which, although highly persistant, may revert to the mean/trend in the long run. Our results suggest that CO₂ emissions within 13 out of 18 OECD countries are indeed fractionally integrated implying that they converge over time, albeit slowly. Interestingly though, the countries whose emissions are not found to be fractionally integrated are some of the highest polluters within the OECD, at least in per capita terms. Our results have implications both for future studies of CO₂ convergence and for climate policy.     

Club Convergence in Carbon Dioxide Emissions

We examine convergence in carbon dioxide emissions among 128 countries for the period 1960–2003 by means of a new methodology introduced by Phillips and Sul (Econometrica 75(6):1771–1855, 2007a). Contrary to previous studies, our approach allows us to examine for evidence of club convergence, i.e. identify groups of countries that converge to different equilibria. Our results suggest convergence in per capita CO₂ emissions among all the countries under scrutiny in the early years of our sample. However, there seem to be two separate convergence clubs in the recent era that converge to different steady states. Interestingly, we also find evidence of transitioning between the two convergence clubs suggesting either a slow convergence between the two clubs or a tendency for some countries to move from one convergence club to the other.     

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.     

Re-Examining the Empirical Evidence for Stochastic Convergence of Two Air Pollutants with a Pair-Wise Approach

This paper examines the hypothesis of stochastic convergence for two air pollutants emissions (carbon dioxide [CO₂] and sulfur dioxide [SO₂]). The value-added of this paper lies in the use of a recent, alternative econometric method, a pair-wise approach that considers all the possible pairs of log per-capita pollutant emission gaps across all the countries in the sample. In this method, all emissions differences must be stationary around a constant mean. Empirical results support different conclusions on stochastic convergence in per capita CO₂ and SO₂ emissions depending on the choice of the unit root test. The use of specific critical values from the ADF-KPSS joint test overcomes these initial conflicting results and leads to small percentages of stationary pairs around a constant mean; which invalidate the hypothesis of stochastic convergence for per capita emissions of CO₂ and SO₂, even over the OECD sub-dataset.     

Stochastic Divergence or Convergence of Per Capita Carbon Dioxide Emissions: Re-examining the Evidence

This paper revisits the time-series literature on the convergence of per capita carbon dioxide (CO₂) emissions and examines the robustness of previous results. Using a sample of OECD countries for the period 1950–2002 we employ a battery of stationarity and unit root tests including those that allow for cross-sectional dependencies within the panel. We also correct for inaccuracies in previous studies that could result in a trend-stationary series being labelled as converging even if it were actually diverging from the international average. The body of evidence provided by our analysis suggests that per capita CO₂ emissions have not converged among OECD countries during the period under consideration. This finding is of importance to both climate change policy makers and to those who construct climate change models.      

Growth in regions

We use a newly assembled sample of 1,528 regions from 83 countries to compare the speed of per capita income convergence within and across countries. Regional growth is shaped by similar factors as national growth, such as geography and human capital. Regional convergence rate is about 2 % per year, comparable to that between countries. Regional convergence is faster in richer countries, and countries with better capital markets. A calibration of a neoclassical growth model suggests that significant barriers to factor mobility within countries are needed to account for the evidence.     

A Test for Parameter Homogeneity in CO<Subscript>2</Subscript>Panel EKC Estimations

This paper casts doubt on empirical results based on panel estimations of an “inverted-U” relationship between per capita GDP and pollution. Using a new dataset for OECD countries on carbon dioxide emissions for the period 1960–1997, we find that the crucial assumption of homogeneity across countries is problematic. Decisively rejected are model specifications that feature even weaker homogeneity assumptions than are commonly used. Furthermore, our results challenge the existence of an overall Environmental Kuznets Curve for carbon dioxide emissions.     

Convergence and divergence in Latin America, 1970-1998

This paper examines the process of convergence in Latin America over the period 1970–1998. There has been relatively little work on income convergence among developing countries in general and in Latin America in particular, even though many studies have examined convergence both within and among developed countries. There is little support for the convergence hypothesis over the sample period as a whole - although the beta coefficient is positive, it is insignificant. Convergence is strong in the 1970s but by the 1990s it has disappeared. There is no evidence of a narrowing in the cross-country dispersion of income (sigma convergence) for the sample period as a whole. The results offer little support for the neo-classical growth model - poorer countries have not grown faster than richer ones. There is a strong case for strengthening regional development policy.     

Nominal and real convergence between the CEE countries and the EU: a fractional cointegration analysis

This paper examines the real and nominal convergence between the Central and Eastern European countries and the EU, using fractional cointegration analysis for the period 1980–2003. Fractional cointegration analysis is a flexible methodology, which allows for more subtle forms of mean reversion. The tests performed are those of Geweke and Porter-Hudak. The convergence processes are valid when macroeconomic time series used in the study are fractionally cointegrated. The results indicate that inflation and interest rates series of six sample countries are fractionally cointegrated with those of the EU. Therefore, nominal convergence has been achieved by some of the transition countries, but the equilibrium errors display long memory. Results also indicate that industrial outputs of most countries in the sample are not fractionally cointegrated with that of the EU. The results further indicate that both nominal and real convergence have been achieved only for Hungary.     

Is the environmental performance of industrialized countries converging? A ‘SURE’ approach to testing for convergence

In this paper, we test for convergence in the environmental performance of a sample of OECD countries, with data ranging from 1971 to 2002. First, we use Data Envelopment Analysis (DEA) to compute two environmental performance indicators (EPIs) in the production theory framework. Second, we propose the use of a sequential multivariate approach to test for convergence in environmental performance. These tests allow us to reconcile the time series literature with the cross-sectional dimension, which is basic when testing for convergence in regional blocs. The SURE technique is used, which allows for the existence of correlations across the series without imposing a common speed of mean reversion. The empirical results show that the group of countries as a whole, as well as the majority of countries considered on an individual basis (results for some countries vary between EPIs), are catching-up with Switzerland (the benchmark country).     

CEEC growth projections: Certainly necessary and necessarily uncertain*

In this paper we discuss the necessity for an indirect approach to assess the growth and convergence prospects of ten Central and Eastern European countries (CEEC10). Ongoing structural changes in these countries and the recent European Union membership of eight countries in the sample have to be taken into account in growth projections. Our indirect approach consists of basing growth projections for the CEEC10 on growth equations estimated for the incumbent EU member states. The study improves upon current practice in two ways. First, growth equations are estimated for the EU14 and not on a large heterogeneous panel that includes many countries unrelated to the CEEC10. Second, by means of a variety of equations and scenarios we assess the uncertainty inherent in such projections. We present growth‐rate and convergence time distributions. The mean convergence times are in line with previous findings. The growth‐rate and convergence time distributions are bi‐modal, reflecting the possibility of two distinct growth paths, depending upon economic policy choices.     

Do Financial Systems Converge?

We apply the new panel convergence methodology developed by Phillips and Sul (2007a ) on 13 financial development indices from the World Bank's Financial Development and Structure database, to test for financial system convergence across a large set of industrial and developing countries. Our results indicate that there is no convergence for either the financial systems as a whole or their main segments. Far from decreasing, the differences in the financial systems of the sample countries seemingly persist or even increase over time. These differences are more pronounced for the stock market segment and private credit by banks, and less so for the bond market segment and bank deposits. Moreover, the convergent clubs for most indices transcend the distinction industrial vs developing countries, as well as the distinction bank‐based vs capital‐market‐based financial systems.     

Testing For Real Interest Rate Convergence In European Countries

We use cointegration tests that determine endogenously the regime shift to test for bilateral short-term and long-term real interest rate convergence in the European Monetary System in the 1979–1993 period. The results of these tests provide strong evidence in favour of bilateral real interest rate convergence between Germany and several countries in our sample, particularly for long-term real interest rates. This result carries the important policy implication that in several European countries monetary policy has lost some of its effectiveness as a stabilisation policy tool.     

TEST OF THE CONVERGENCE HYPOTHESIS ALLOWING FOR CROSS‐SECTIONAL DEPENDENCE

A large empirical literature has investigated whether per capita output converges around a common trend across national and regional economies. The methods used in this literature assume no cross‐sectional dependence even though it is likely to be present and might be important in practice. Chang has devised a promising method of testing for unit roots in heterogeneous panels with cross‐sectional dependence. We apply her method to test whether convergence takes place across three samples of economies: 15 advanced industrial countries; a broader group of 57 countries; and the 48 contiguous US states. We find evidence of convergence for the 15 advanced industrial economies but no evidence of convergence across either the broad group of countries or the US states.     

Technological differences and convergence in the OECD

Abstract. In this paper we test the homogeneity of the technological parameters among OECD countries, which is the maintained hypothesis in most of the empirical growth literature. We first identify differences in the constant term of the convergence equation estimated for the OECD 1960/1990 sample using a fixed- effects estimator. Then we provide a formal test of the homogeneity of technological parameters across groups of countries. We identify at least two different groups within the OECD, with significantly different technologies. Convergence within each group is fast, supporting the notion of club convergence. Nevertheless, the implausible parameter values obtained for the leading technology club casts some doubts on the validity of the Solow model to account for the long run behaviour of this group of countries.     

Convergence in car prices among European countries

This article contributes to the literature on price convergence in Europe by investigating the existence of stochastic and deterministic convergence of car prices in the EU15 countries. We apply recently developed econometric techniques that allow for multiple structural breaks to an up-to-date dataset. We find considerable evidence of both types of convergence in our sample of countries and car models, therefore suggesting a tendency for relative prices to equalize over time. In addition, we find evidence regarding the importance in this convergence process of both legislative changes taking place in the years 1996 and 2002, and the implementation of Economic and Monetary Union (EMU).     

A smooth coefficient model of carbon emissions

I use a semiparametric smooth coefficient model to estimate a generalization of the emissions convergence models derived from the green Solow model proposed by Brock and Taylor (J Econ Growth 15:127–153, 2010). Parametric estimates of simple homogeneous coefficient convergence models suggest that there may be heterogeneity in emissions convergence across different subsamples of observations. The semiparametric models confirm that there is heterogeneity across countries in coefficient estimates; however, such heterogeneity does not appear to be substantial enough to qualitatively influence the estimates derived from the parametric models. Hence, I find that (i) the green Solow model is a robust framework for analyzing carbon emissions convergence and (ii) carbon emissions are converging across a large sample of countries. My results suggest that international agreements that assign pollution rights based on population levels may be agreeable to many nations.     

Catch-up and convergence: a model of cumulative growth

This article builds a model of cumulative growth in order to explain the patterns of convergence and divergence in levels of productivity for a large sample of developed and developing countries. Determinants of productivity growth are endogenized: investment equipment share in GDP, innovative activity and the level of schooling. The catch-up hypothesis states that lagging countries should enjoy a higher rate of productivity increase. In fact, this hypothesis must be qualified, countries that possess a ‘social capability’ can catch up to the technological leaders. The model presented here tries to take account of some important determinants of the social capability. The growth of productivity rests on a cumulative growth mechanism based on investment, innovation and education. The model is estimated for a sample of 59 countries over the period 1960–85. Contrary to most recent studies on the subject, a general pattern of divergence rather than convergence in productivity levels is found.