Environmental performance,corruption and economic growth: global evidence using a new data set

This study investigates the relationship between environmental performance, corruption and economic growth using panel data of 87 countries covering the period from 2002 to 2012. The Environmental Performance Index is used for the first time to evaluate the environmental quality on economic growth. By employing both ‘static’ and ‘dynamic’ panel models, we find that environmental performance is positively related to economic growth and is more significant in non-Organization for Economic Cooperation Development (OECD) countries. Moreover, when corruption is incorporated, the empirical estimation results indicate that although lower corruption helps economic growth in non-OECD countries, the negative coefficients of the three interactive terms show that the positive effect of environment performance on economic growth will drop, while greater environmental performance combined with natural resource abundance inevitably leads to inefficient bureaucracies and hence disadvantageous economic growth. As a result, policymakers in non-OECD countries should carefully ensure better government quality when they exhibit strong environmental performance so as to avoid any disadvantageous impact upon economic growth.     

A cointegration analysis of seafood import demand in Caribbean countries

This article re-examines the relationship between growth in per capita income and environmental degradation using econometric techniques appropriate for smooth transition regressions with panel data. This is a more intuitive and flexible methodology than the polynomial models widely used in the literature, and it can reconcile some of the mixed results found previously. The methodology is applied to carbon dioxide emissions from nonOECD countries over the period 1971 to 1997. Although there is no evidence of environmental Kuznets curve, we find two regimes, namely a low-income regime where emissions accelerate with economic growth and a middle to high-income regime associated with a deceleration in environmental degradation.     

Uncertainty,Learning and Heterogeneity in International Environmental Agreements

This paper concerns the formation of International Environmental Agreements under uncertainty about environmental damage with different models of learning (complete learning, partial learning or no learning). The results of the existing literature are generally pessimistic: the possibility of either complete or partial learning generally reduces the level of global welfare that can be achieved from forming an IEA relative to no learning. That literature regards uncertainty as a parameter common to all countries, so that countries are identical ex ante as well as ex post. In this paper we extend the literature to the case where there is no correlation between damage costs across countries; each country is uncertain about a particular parameter (in our case the benefit-cost ratio) drawn from a common distribution but, ex post, each country’s realized parameter value is independently drawn. Consequently, while countries remain identical ex ante, they may be heterogeneous ex post. We show that this change reinforces the negative conclusions about the effects of partial learning on international environmental agreements, but, under certain conditions, moderates the negative conclusions about the effects of complete learning.     

Public sector transparency and countries’ environmental performance: A nonparametric analysis

Based on the theoretical background of the link between countries’ public sector transparency and environmental policy, our paper provides empirical evidence for a sample of 49 countries for the time period of 1995–2000. Assuming that countries’ environmental performance is a product of their environmental regulations and policies, we utilize a nonparametric estimator for investigating the link with public sector's transparency levels. Specifically, by applying conditional directional distance function models, we incorporate on the measurement of countries’ environmental performance the effect of their public sector transparency levels. In a second stage analysis applying local constant estimators, the results reveal an inverted ‘U’-shape relationship between countries’ public sector transparency levels and their environmental performance.     

A consumption-based approach to environmental Kuznets curves using the ecological footprint indicator

Recent research suggests that consumption-based measures offer an insightful perspective on the debate on the relationship between economic growth and the environment. In this article we deepen the consumption-based line of inquiry by investigating the empirical evidence in support of the environmental Kuznets hypothesis using 2001 ecological footprint data for 141 countries. We perform Ordinary Least Squares and Weighted Least Squares analysis on linear, quadratic and cubic functions, in standard and logarithmic specifications, as candidate models to represent the relationship between per capita income and environmental pressure. We replicate the cross country analysis also by estimating the regression function directly, through a nonparametric regression. In our analyses, with and without weighing data by population, the results do not show evidence of de-linking.     

Environmental Satellite Models for a Macroeconomic Model

To support national environmental policy, it is desirable to forecast and analyse environmental indicators consistently with economic variables. However, environmental indicators are physical measures linked to physical activities that are not specified in economic models. One way to deal with this is to develop environmental satellite models linked to economic models. The system of models presented gives a frame of reference where emissions of greenhouse gases, acid gases, and leaching of nutrients to the aquatic environment are analysed in line with – and consistently with – macroeconomic variables. This paper gives an overview of the data and the satellite models. Finally, the results of applying the model system to calculate the impacts on emissions and the economy are reviewed in a few illustrative examples. The models have been developed for Denmark; however, most of the environmental data used are from the CORINAIR system implemented in numerous countries.     

A Dynamic Model for International Environmental Agreements

In this paper we develop a model that uses a dynamic framework to analyze the process through which countries join international environmental agreements (IEAs). In the model, while all countries suffer from the same environmental damage as a result of total global emissions, non-signatory countries decide on their emission levels by maximizing their own welfare, whereas signatory countries decide on their emission levels by maximizing the aggregate welfare of all signatory countries. It is assumed that signatory countries will be able to punish non-signatories, at some cost to themselves. When countries decide on their pollution emissions, they account for the evolution of the stock of pollution over time. Moreover, we propose a mechanism to describe how countries reach a stable IEA. The model is able to capture situations characterized by partial cooperation within an IEA that is stable over time. It also captures situations where all countries participate in a stable agreement, and situations where no stable agreement is feasible. Where more than one possibility coexist, the long-term outcome of the game depends on the initial conditions (i.e., the initial number of signatory countries and pollution level).     

The EKC for SO2: Does firm size matter?

The environmental Kuznets curve hypothesis (EKC) predicts an inverse U-shaped relationship between environmental pollution and per capita income. The literature with respect to the EKC is vast but far from conclusive. This paper adds firm size to the standard EKC reduced form regression and analyses whether firm size matters once income and composition are controlled for. Results suggest that large firm countries are initially associated with higher levels of environmental damage. However, as economies develop, large firm countries find it easier to adopt more stringent environmental legislation. Once environmental damage starts to decrease, the decrease is much larger in large firm countries.     

Trade liberalization in environmental goods

Trade negotiations have started to pay attention to liberalization in environmental goods (EGs), whose production may require dirty intermediate goods. We construct a two-country trade model to explore the effects of trade liberalization in EGs on the local pollution, the global environment and welfare in the presence of such an environmental conundrum. We find that countries do not necessarily benefit from trade liberalization in EGs in the absence of an environmental policy. With the assistance of an upstream pollution tax, trade liberalization in EGs improves each country's welfare. This result holds independent of whether the upstream market is competitive or not, or whether we have upstream trade across countries. For asymmetric countries, trade liberalization in EGs improves the world welfare and the welfare for the country if it has a smaller demand for EGs; or experiences less damage from the production of dirty inputs; or values environment improvement more.     

EFFECT OF INCOME DISTRIBUTION ON THE ENVIRONMENTAL KUZNETS CURVE

This paper augments the model of Andreoni and Levinson by analyzing the effect of income distribution on the inverted U‐shaped relationship between some forms of pollution and income, the so‐called ‘environmental Kuznets curve’. In a context in which pollution abatement technology shows increasing returns to scale and an inverse U‐shaped pollution–income path is present, this study demonstrates the existence of a majority voting equilibrium, and concludes that the inverted U‐shaped relationship is between median income and environmental degradation rather than between per capita income and environmental degradation. Our results suggest that an increase in equality in income distribution improves environmental quality and social efficiency. The implication of the model for the empirical estimation of environmental Kuznets curves is examined using a panel data set of 36 countries over a 20‐year period. Estimation results using different models show that income distribution might be an important factor in the empirical estimation of these curves.     

Is inequality harmful for the environment? An empirical analysis applied to developing and transition countries

The object of this article is to examine the relation between social inequalities and pollution. First of all we provide a survey demonstrating that, from a theoretical point of view, a decrease in inequality has an uncertain impact on the environment. Second, on the basis of these conceptual considerations, we propose an econometric analysis based on panel data (fixed-effects and dynamic panel data models) concerning developing and transition countries for the 1988-2003 period. We examine specifically the effect of inequality on the extent of local pollution (sulphur dioxide emissions and organic water pollution) by integrating the Gini index into the formulation of the environmental Kuznets' curve.     

Are free trade agreements good for the environment? A panel data analysis

This study empirically examines the relationship between free trade agreements (FTAs) and greenhouse gas (GHG) emissions. For this purpose, we use three different FTAs: the Southern Common Market, the North American Free Trade Agreement, and the Australia–United States Free Trade Agreement. These FTAs are between developing, both developing and developed, and only developed countries, respectively. Panel unit root, panel cointegration, and fully modified ordinary least squares estimations are employed to examine the long‐run relationship between GHG emissions and trade liberalization. The results indicate that the environmental effects of FTAs depend on the different agreement types. When FTAs are between only developed or developing countries, overall there is no environmental damage, and these types of FTAs can be beneficial for the environmental quality in the long run. However, when developing and developed countries are in a trade agreement, overall environmental quality decreases due to increased GHG emissions.     

Institutions and the effectiveness of expenditures on environmental protection: evidence from Middle Eastern countries

Middle Eastern countries are among the top air emitters in per capita terms worldwide. We examine the effect of government expenditures on environmental protection (GEEP) on air pollution in the Middle East and North Africa (MENA) countries. Moreover, we explore whether countries with stronger quality of governance can exploit GEEP to reduce air pollution more efficiently. Empirical analysis, using data from 1996 to 2015 for a set of the MENA countries, shows that GEEP alone does not play a significant role in contributing to better environmental quality. However, improvements in quality of governance are shaping the final environmental effects of GEEP in the MENA region. Our results can help policy makers in the region and international community in discovering strategies for reaching the agreed goals under the Paris Climate Deal (COP21), namely net zero emissions in the second half of the century.     

An environmental performance index for products reflecting damage costs

Several studies have demonstrated how to use DEA (Data Envelopment Analysis) based techniques to estimate environmental performance indices. None of these studies, however, are taking information on the environmental damage costs of the pressure types considered into account. This study is bridging a gap between environmental indices founded in physical pressures and damage costs founded in welfare economics. The aim of the paper is twofold: first, to demonstrate how to implement the information on environmental damage costs within a DEA based environmental performance index, and second, to estimate these indices at product level by using Danish input-output data and environmental data from 1997.     

Data envelopment analysis for measuring economic growth in terms of welfare beyond GDP

Recent discussions about the definition of growth in terms of welfare beyond GDP suggest that it is of urgent need to develop new approaches for measuring the economic performance of firms and national economies. The new concepts should simultaneously take into account economic as well as social and environmental goals. First we present several approaches to productivity measures. Then we extend the data envelopment analysis models with environment indicators in order to measure the so called eco-efficiency and social indicators to take into consideration social performance. For illustration, we perform the analysis of 30 European countries for the year 2010. The last section concerns itself with the possibilities of inter-temporal analysis of the proposed models and their use in ex-ante evaluation of different policy scenarios.     

The influence of government ideology on monetary policy: New cross‐country evidence based on dynamic heterogeneous panels

Using data of 23 OECD countries over the 1980–2005 period, we examine whether government ideology affects monetary policy, conditional on central bank independence. Unlike previous studies in this line of literature, we estimate central bank behavior using forward‐looking and real‐time data in Taylor rule models and use estimators that allow for heterogeneity across countries. Our models with heterogeneous slope coefficients for the full sample do not suggest partisan effects. We also do not find evidence that central bank behavior is conditioned by the interaction of the ideology of the incumbent government and the electoral calendar.     

Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors,Environmental Attitudes and Policy

Using survey data of around 10,000 households from 10 OECD countries, we identify the driving factors of household adoption of water-efficient equipment by estimating Probit models of a household’s probability to invest in such equipment. The results indicate that environmental attitudes and ownership status are strong predictors of adoption of water-efficient equipment. In terms of policy, we find that households that were both metered and charged for their water individually had a much higher probability to invest in water-efficient equipment compared to households that paid a flat fee.     

Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis

This paper, using data envelopment (DEA) window analysis and generalized method of moments (GMM) estimators, examines the existence of a Kuznets type relationship between countries' environmental efficiency and national income. Specifically, it measures the environmental efficiency of 17 OECD countries by constructing environmental efficiency ratios for the time period 1980-2002. The analysis with the application of dynamic panel data reveals that there isn't a Kuznets type relationship between environmental efficiency and income. Allowing for dynamic effects we find that the adjustment to the target ratio is instantaneous. We also find that increased economic activity does not always ensure environmental protection and thus the path of growth is important in addition to the growth itself.     

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).