19,017 research outputs found

    Estimating the Impacts of Climate Change on Mortality in OECD Countries

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    The major contribution of this study is to combines both climatic and macroeconomic factors simultaneously in the estimation of mortality using the capital city of 22 OECD countries from the period 1990 to 2008. The empirical results provide strong evidences that higher income and a lower unemployment rate could reduce mortality rates, while the increases in precipitation and temperature variation have significantly positive impacts on the mortality rates. The effects of changing average temperature on mortality rates in summer and winter are asymmetrical and also depend on the location. Combining the future climate change scenarios with the estimation outcomes show that mortality rates in OECD countries in 2100 will be increased by 3.77% to 5.89%.Climate change; mortality; panel data model

    Institutional Roles of Political Processes, Expert Governance, and Judicial Review in Environmental Impact Assessment: A Theoretical Framework and a Case Study of Taiwan

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    Environmental impact assessment (EIA) is used by most countries and is widely recognized as an important instrument for infusing sustainable development considerations into governmental decision-making. However, studies show that EIA often falls short of that goal. This article explores the design and operation of EIA through the lens of comparative institutional analysis. It examines the pros and cons of various governmental institutions charged with implementing EIA, uses a case study of Taiwan to demonstrate the validity of this analytical framework, and provides suggestions for future practices and legal reforms. This article proposes that the core problem that EIA is meant to address is minoritarian bias—the highly disproportionate representation of the interests of developmental interest groups in political processes, as opposed to the interests of the general public and future generations. To adequately counteract this political malfunction, this article argues for improvements to EIA systems that enhance public participation, reinforce expert governance, and heighten judicial scrutiny. Among these, the judiciary plays the most profound institutional role. Where minoritarian bias is prominent in EIA proceedings, courts should strictly review, rather than submissively defer to, EIA judgments and developmental decisions

    Modeling the Effect of Oil Price on Global Fertilizer Prices

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    The main purpose of this paper is to evaluate the effect of crude oil price on global fertilizer prices in both the mean and volatility. The endogenous structural breakpoint unit root test, the autoregressive distributed lag (ARDL) model, and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model, Exponential GARCH (EGARCH) model, and GJR model, are used to investigate the relationship between crude oil price and six global fertilizer prices. Weekly data for 2003-2008 for the seven price series are analyzed. The empirical results from ARDL show that most fertilizer prices are significantly affected by the crude oil price, which explains why global fertilizer prices reached a peak in 2008. We also find that that the volatility of global fertilizer prices and crude oil price from March to December 2008 are higher than in other periods, and that the peak crude oil price caused greater volatility in the crude oil price and global fertilizer prices. As volatility invokes financial risk, the relationship between oil price and global fertilizer prices and their associated volatility is important for public policy relating to the development of optimal energy use, global agricultural production, and financial integration.Volatility; Global fertilizer price; Crude oil price; Non-renewable fertilizers; Structural breakpoint unit root test

    Common wave behavior for mergers and acquisitions in OECD countries? a unique analysis using new Markov switching panel model approach

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    This paper investigates whether or not there is co-waved merger and acquisition (M&A) activity in 26 OECD countries. We apply the Markov Switching model to panel data (MSP hereafter), an approach which has not previously been attempted. Two distinct regimes are recognized in emerge from M&A data: the wave merger regime and normal merger regime. Our MSP captures the co-wave pattern of the sample countries and has a much better fit than either the univariate Markov Switching model or the conventional linear panel model.
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