Meta-analysis Of Empirical Evidence Research Articles

The two faces of FDI in environmental performance: a meta-analysis of empirical evidence in China

ABSTRACT The extant literature has raised debates concerning environmental performance of foreign direct investment (FDI) in China. We applied meta-analysis of 121 estimates reported in 40 studies to quantitatively synthesize our knowledge and understanding of the topic. Our findings indicate that FDI leads to better environmental performance through a pollution abatement effect, but not through enhancements in green total factor productivity. The meta-regression analysis reveals that the degree of environmental pollution abatement effects is moderated by environmental regulations, FDI measurement, and the consideration of endogeneity in empirical estimations. The results are discussed with references to scholarly and practical implications.

The Two Faces of FDI in Environmental Performance: A Meta-analysis of Empirical Evidence in China

The extant literature has raised debates concerning the environmental performance of foreign direct investment (FDI) in China. We apply meta-analysis of 121 estimates reported in 40 studies to quantitatively synthesize our knowledge and understanding of the topic. Findings indicate that FDI lead to better environmental performance through reducing pollution, but not green total factor productivity. The meta-regression analysis reveals that the environmental pollution effects of FDI is moderated by FDI measurements, environmental regulations and the consideration of endogeneity in empirical estimations. The results are discussed with references to academic and practical implications.

Understanding the Complexity of Business Information Dissemination in Social Media: A Meta-Analysis of Empirical Evidence from China

With the development of social networks, the complexity of the factors affecting the users’ information dissemination is increasing and the complexity of online social networks and influencing factors of individual behaviors and attitudes make the development of online public opinion present a dynamic, complex, and multifactor evolution. Analyzing the influencing factors of public opinion dissemination is conducive to optimize company management and information diffusion management. However, there has been no comprehensive analysis of the complex factors that influence the dissemination of information; this study focused on synthesizing 20 empirical studies on the influencing factors of China public opinion dissemination from the perspective of the user, and a meta-analysis was conducted. We establish the influencing factors of users’ information adoption model from three aspects of information source reliability, perceived information quality, and the heat of public opinion events based on elaboration likelihood model. The results indicated that the main influencing factors of public opinion communication are authority, reliability, quality of information form, quality of information editing, quality of information utility, and event attendance preference. Among the factors, authority and quality of information editing have more significant impacts on users’ information adoption behavior in the dissemination of public opinion. In addition, whether the type of event was a public emergency had a moderating effect. The results are helpful to explore the universality of the influencing factors so as to help related regulators better build a multiangle supervision mechanism and conduct early warning of information diffusion.

Meta-analysis of empirical evidence on energy poverty: The case of developing economies

Energy poverty has evolved as an important issue of research from academic and policy perspectives during the last two decades. The energy poverty estimates exhibit widespread variations across regions, methodologies and datasets, making the task of energy and development policies challenging. The variations in energy poverty estimates necessitate a systematic and rigorous analysis of these empirical studies to obtain a true measure of energy poverty. The present study conducts a meta-analysis of 30 studies and 103 estimates of energy poverty. On average, 71.1 percent of the population in the overall sample studies has been identified as energy poor. High I-square statistic values suggest heterogeneity bias in the sample studies; therefore, analysis at the subgroup level has been conducted. Meta-regression analysis of overall sample and subgroups has identified type of methodology, citations, impact factor of the journal, regional dummies, average key crude oil price and gross domestic product as significant factors that explain heterogeneity in the energy poverty effect sizes. We recommend inclusion of local and regional factors in assessment of energy poverty for developing a uniform methodology to assess energy poverty across developing economies.

Are Alcohol Excise Taxes Overshifted to Prices? Systematic Review and Meta-Analysis of Empirical Evidence From 29 Studies

This paper conducts the first comprehensive review and meta-analysis for estimates of alcohol tax pass-through rates. The review examines data coverage by country; econometric models; and results for under- or overshifting by beverage. Several primary studies indicate substantial over-shifting of alcohol taxes. Median rates also suggest taxes are overshifted. Precision weighted-averages calculated for two samples show beer taxes are overshifted and wine-spirits taxes are fully shifted. Meta-regressions corrected for publication bias indicate, however, that full-shifting of alcohol taxes cannot be rejected for any beverage. Results are useful for alcohol tax policy and future research on tax incidence.

The Effects of Non-Tariff Measures on Agri-Food Trade: A Review and Meta-Analysis of Empirical Evidence

The increasing policy interests and the vivid academic debate on non-tariff measures (NTMs) has stimulated a growing literature on how NTMs affect agri-food trade. The empirical literature provides contrasting and heterogeneous evidence, with some studies supporting the ‘standards as catalysts’ view, and others favouring the ‘standards as barriers’ explanation. To the extent that NTMs can influence trade, understanding the prevailing effect, and the motivations behind one effect or the other, is a pressing issue. We review a large body of empirical evidence on the effect of NTMs on agri-food trade and conduct a meta-analysis to disentangle potential determinants of heterogeneity in estimates. Our findings show the role played by the publication process and by study-specific assumptions. Some characteristics of the studies are correlated with positive significant estimates, others covary with negative significant estimates. Overall, we found that the effects of NTMs vary across types of NTMs, proxy for NTMs, and levels of details of studies. Not negligible is the influence of methodological issues and publication process.

A response to: Möser, G., & Bamberg, S. (2008). The effectiveness of soft transport policy measures: A critical assessment and meta-analysis of empirical evidence. Journal of Environmental Psychology, 28, 10–26

Refers to: Guido Moser, Sebastian Bamberg. effectiveness of soft transport policy measures: A critical assessment and meta-analysis of empirical evidence. Journal of Environmental Psychology, Volume 28, Issue 1, March 2008, Pages 10-26 Referred to by: Sebastian Bamberg, Guido Moser. Please Mr. Brog, give us your data! Reply to the comment of Wall, Brog, Erl, Ryle, & Barta on our paper The effectiveness of soft transport policy measures: A critical assessment and meta-analysis of empirical evidence Journal of Environmental Psychology, Volume 31, Issue 3, September 2011, Pages 270-271

Please Mr. Brög, give us your data! Reply to the comment of Wall, Brög, Erl, Ryle, & Barta on our paper “The effectiveness of soft transport policy measures: A critical assessment and meta-analysis of empirical evidence”

Refers to Rob Wall, Werner Brog, Erhard Erl, James Ryle, Franz Barta A response to: Moser, G., & Bamberg, S. (2008). The effectiveness of soft transport policy measures: A critical assessment and meta-analysis of empirical evidence. Journal of Environmental Psychology, 28, 10-26 Journal of Environmental Psychology, Volume 31, Issue 3, September 2011, Pages 266-269

Meta-Analysis of Empirical Evidence on the Labour Market Impacts of Immigration

The increasing proportion of immigrants in the population of many countries has raised concerns about the ‘absorption capacity’ of the labour market, and fuelled extensive empirical research in countries that attract migrants. In previous papers we synthesized the conclusions of this empirical literature by means of meta-analyses of the impact of immigration on wages and employment of native-born workers. While we have shown that the labour market impacts in terms of wages and employment are rather small, the sample of studies available to generate comparable effect sizes was severely limited by the heterogeneity in study approaches. In the present paper, we take an encompassing approach and consider a broad range of labour market outcomes: wages, employment, unemployment and labour force participation. We compare 45 primary studies published between 1982 and 2007 for a total of 1,572 effect sizes. We trichotomise the various labour market outcomes as benefiting, harming or not affecting the native born, and use an ordered probit model to assess the relationship between this observed impact and key study characteristics such as type of country, methodology, period of investigation and type of migrant.

The effectiveness of soft transport policy measures: A critical assessment and meta-analysis of empirical evidence

In the last few years there has been a growing interest in transport policy concerning behaviour oriented ‘soft’ measures to reduce private car use. Besides an assessment of the methodological quality of available evaluation results, the present paper focuses on a quantitative, meta-analytical synthesis of this empirical evidence. For these purposes a data set of 141 studies evaluating three types of soft transport policy measures was compiled mainly from already published narrative research reviews. The ability to draw strong causal inferences from the available research evidence is limited by the fact that all the retrieved evaluation studies use weak quasi-experimental designs. At least for one policy measure type our analyses also indicate the presence of a reporting bias. Across all three soft policy measures we found a statistically significant random-effects pooled effect size of 0.15. Translated into the original metric such an effect size indicates an increase in the no-car use proportion from 39% to 46%.