Does trade openness improve environmental quality?

Managi, Shunsuke; Hibiki, Akira; Tsurumi, Tetsuya

doi:10.1016/j.jeem.2009.04.008

Cited by 483 publications

(277 citation statements)

References 25 publications

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“…Contrary to many studies (Managi and Akira, 2009), the composition effect concluded from the estimated coefficient for the capital labor ratio does not have a great influence on the water pollution. For all study countries, the trade openness increases magnitude of water pollution.…”

Section: Discussioncontrasting

confidence: 99%

“…The two variables are assumed to capture the impact of capital accumulation. T is the ratio of aggregate exports and imports to GDP that is widely used by the literature such as (Managi S., Akira H. et al 2009) as a proxy for a country's trade openness .The variable is expected to catch the impact of trade liberalization (trade intensity) on water pollution. The (K/L)S is the composition impact of capital intensity and income on the water pollution.…”

Section: Methodsmentioning

confidence: 99%

“…The study concluded a positive scale effect, a negative composition effect, and a negative technique effect for the impact of trade openness on the SO2 emission. Another study (Managi and Akira, 2009) that worked on the overall impact of trade openness on the environmental quality found the EKC relationship is larger in the long term than that in the short term. The study also described that the magnitude of this relationship depends on the country and the pollutant.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Economic development and Environmental quality: The environmental Kuznets curve for water pollution

Shahpouri¹,

Biabi²,

Abolhassani³

2016

Journal of Applied Sciences and Environmental Management

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The main aim of this study was to analyze evidence of an environmental Kuznets curve for water pollution in the developing and developed countries. The study was conducted based on a panel data set of 54 countries -that were categorized into six groups of "developed countries", "developing countries", "developed countries with low income", "developed countries with high income" and "coastal countries"-between the years 1995 to 2006. The results do not confirm the inverted U-shape of EKC curve for the developed countries with low income. Based on the estimated turning points and the average GDP per capita, the study revealed at which point of the EKC the countries are. Furthermore, impacts of capital-and-labor ratio as well as trade openness are drawn by estimating different models for the EKC. The magnitude role of each explanatory variable on BOD was calculated by estimating the associated elasticity. ©JASEM

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Section: Discussioncontrasting

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Economic development and Environmental quality: The environmental Kuznets curve for water pollution

Shahpouri¹,

Biabi²,

Abolhassani³

2016

Journal of Applied Sciences and Environmental Management

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“…The trend on emissions varies: some are decreasing while others are not (Halkos, 1993(Halkos, , 1994Managi et al, 2009;Managi, 2015;Halkos and Paizanos, 2016;Halkos et al, 2017). Figures 3 and 4 illustrate the annual trend of CO 2 and SO 2 emissions in seven regions in the world and show that environmental performance varies considerably among regions.…”

Section: Pollutants' Emissions and Economic Development: Trends And Rmentioning

confidence: 99%

Recent advances in empirical analysis on growth and environment: introduction

Halkos

Managi

2017

Envir. Dev. Econ.

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ABSTRACT. Recently, there has been significant research interest in the empirical formulations of the environment-income relationship using both global and disaggregated data. Advances in methods and availability of better and more extensive data make the old topic of growth and environment a unique field for Environment and Development Economics, among other journals. Conventionally, the environmental Kuznets curve has been important in testing for emissions of many pollutants in many different countries. Now, policy and institutional data including transparency variables are available, making many social and economic factors interesting for policy analysts. In light of these advances, and the existing associated empirical problems in analyzing the income-environment relationship, the key findings of each paper in this special issue are discussed and connected to the related areas of research interest.

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“…The between-round variance (denoted by S) is defined as follows: (4) The total variance of θ is then equal to Our research group has been working on conducting a database named World Resource Table using MI for a long time (Managi et al 2009;Tsurumi and Managi 2012). In this paper, we developed the database by including approximately 27 variables and 5859 observations for 189 countries that cover the period from 1980 to 2010.…”

Section: Constructing the Dataset Using Multiple Imputationmentioning

confidence: 99%