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While there is a near global consensus about the need to address climate change, most countries are hesitant to employ sufficiently stringent policies in fear of sacrificing economic growth. The objective of this research is to examine the impact of environmental policy on economic growth, using the OECD's Environmental Policy Stringency (EPS) index across 21 OECD countries from 1990 to 2014. An augmented Solow Model with the inclusion of variables to represent human capital, trade openness and the EPS index is used to assess whether policy stringency affects growth with empirical analysis comprised of a pooled mean group estimator, dynamic OLS, fixed effects and pooled OLS to estimate the short and long run effects. The results reveal that policy stringency negatively affects economic growth in the short run but pays dividends of positive growth in the long run. There appears to be a threshold level of the EPS, beyond which the dividend is realized in the long run. The results are expected to be of interest to policy makers who strive to address climate change without trading off economic growth. [ABSTRACT FROM AUTHOR]

In Canada, greenhouse gas (GHG) emissions continue to remain high despite the federal government's commitment to reduce GHG emissions. Environmental policy across Canadian provinces has largely lacked consistency with some provinces implementing targeted policy such as carbon taxes while others have strongly resisted the federal government's attempts to encourage such policy. This study examines the impact of environmental policy on GHG gas emissions across Canadian provinces with policy uniquely measured by public and business sector spending on environmental protection as well as notable province-specific policies. An extended STIRPAT model is specified with the inclusion of proxies for environmental policy using panel data from Canada's ten provinces from 1995 to 2019. The cointegration and the error correction modelling approaches are employed to estimate the non-stationary panel data. A pooled mean group estimation is applied to provide short run and long run coefficients. The findings indicate that although per capita GDP is the main driver of GHG emissions in Canada, environmental policy has a significant mitigating effect, as shown by the negative association between emissions and private and public sector spending on environmental protection in the long run. Furthermore, provinces with targeted policies, such as Ontario's coal phase-out and British Columbia's carbon tax, experienced significant emissions reductions. The theoretical implication is the successful addition of policy variables to the STIRPAT model, providing the model a new application for future research. [Display omitted] • Assess the impact of environmental protection policies on per capita greenhouse gas emissions in Canada. • Utilize public and private expenditures on environmental protection, along with provincial policies. • Extend the STIRPAT model to incorporate environmental protection policies in an empirical model. • Demonstrate a significant negative relationship between environmental protection policies and GHG emissions. • Offer insights with implications for global environmental sustainability efforts. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between military expenditure and FDI inflow conditioning on the exposure of a country to armed conflict in the long run. We apply the band spectrum regression estimator, and the maximal overlap discrete wavelet transform, to a panel of 60 developing countries, for the years 1990 to 2013. The estimated results indicate that military expenditure, in the absence of armed conflict, reduces FDI inflow. However, the negative effect is mitigated by increased military expenditure, in the presence of armed conflict. We also show that the effect of military expenditure on FDI is time sensitive, in that it takes time for military expenditure to affect FDI inflow. FDI inflow in response to higher military expenditure is higher for the country that faces higher armed conflict than the country that faces lower armed conflict. The findings are robust in the case of overall as well as internal conflict. These results are also robust to the alternative specification, subsample analysis with different armed conflict thresholds, and the estimation using the time variant long-run models. [ABSTRACT FROM AUTHOR]

Purpose While the relationship between military expenditure and economic growth during the Cold War period is well-researched, relatively less is known on the issue for the post-Cold War era. Equally how the relationship varies with respect to exposure to conflict is also not fully examined. Therefore, the purpose of this paper is to investigate the causal impact of military expenditure on growth in the presence of internal and external threats for the period 1990-2013 using data from 70 developing countries.Design/methodology/approach The main estimates are based on the generalized method of moments (GMM) regression model. But for comparison purposes, the authors also report estimates using fixed and random effects as well as pooled cross-section regressions. The regression specification accounts for non-linear effect of military expenditure allowing for interaction with conflict variable (where distinction is made between external and internal conflict).Findings The analysis indicates that methods as well as model specification matter in studying the effect of military spending on growth. Full sample estimates based on GMM, fixed, and random effects models suggest a negative and statistically significant effect of military expenditure. However, fixed effects estimate becomes insignificant for low-income countries. The effect of military spending is also insignificant in the cross-sectional OLS model if conflict is not considered. When the regression model additionally controls for conflict, the effect of military spending conditional upon (internal) conflict exposure is significant and positive. No such effect is present conditional upon external threat.Research limitations/implications One important limitation of the analysis is the small sample size – the authors had to restrict analysis to 70 low and middle-income countries for which the authors could construct post-Cold War panel data on military expenditure along with information on armed conflict exposure (the later from the Uppsala Conflict Data Program, 2015).Originality/value To the best of the author’s knowledge, this is the first paper to examine the joint impact of military expenditure and conflict on economic growth in post-Cold War period in a sample of developing countries. Moreover, an attempt is made to review and revisit the large Cold War literature where studies vary considerably in terms findings. A key reason for this is the somewhat ad hoc choice of econometric methods – most rely on cross-section data and rarely conduct sensitivity analysis. The authors instead rely on panel data estimates but also report results based on naïve models for comparison purposes. [ABSTRACT FROM AUTHOR]

Similar to many other developing countries Bangladesh, which is the country of my concern, has been pursuing an active exchange rate policy basically to maintain a viable external account position, and competitiveness of its products in world market. The purpose of the study is, therefore, to estimate the impact of real devaluation on country's trade balance. The study constructs nominal and real effective exchange rates which are not readily available for the country. Using multivariate cointegration tests for non-stationary data, the error correction model, and impulse response functions the paper examines the impact of exchange rate policy in both short-and long-run. The estimated results demonstrate that real exchange rate has a significant positive impact on trade balance in the long-run. Thus, currency devaluation has been a significant stimulus for country's exports growth and improvement in current account position. However, the J-curve hypothesis can be explained as the appropriate phenomenon to improve its trade balance in response to exchange rate devaluation. [ABSTRACT FROM AUTHOR]