Understanding variation in the relationship between environmental management practices and firm performance across studies: A meta‐analytic review

The relationship between environmental management practices and firm performance has continuously received much attention in academic research. As existing literature on the link of the two constructs is characterized by heterogeneous research characteristics and mixed empirical evidence, one interesting question arises: Do research characteristics affect the magnitude and direction of the relationship between environmental management practices and firm performance? Amassing a database of 92 studies, 199 effect sizes, and 72,258 firms, we examine this question by conducting a meta‐analysis. The characteristics investigated in this study include item number of performance measures, year of data collection, industry type, economic development, and Hofstede's five cultural dimensions. A meta‐regression reveals that environmental management practices are positively associated with firm performance and that the degree of this association depends on these contexts. Specifically, the environmental management practices–performance relationship increases with year of data collection, is stronger with multiple item measures, and is higher for firms in developed countries and in cultures characterized by high power distance, low individualism, low uncertainty avoidance, and low long‐term orientation.     

HOW DO RATING AGENCIES’ DECISIONS IMPACT STOCK MARKETS? A META‐ANALYSIS

The purpose of this study is to examine how credit rating agencies’ decisions impact the stock market using a systematic and quantitative review of existing empirical studies. Specifically, we employ a meta‐regression analysis (MRA) to investigate the extent and nature of the effect of rating agencies’ decisions on the stock market. We survey 62 studies published between 1978 and 2015. Our first finding is that the cumulative average abnormal returns calculated from this empirical literature are affected by publication bias. After controlling for publication bias, the main findings of our meta‐analysis indicate that negative rating decisions cause statistically significant negative abnormal returns. This evidence suggests an informational effect. Our results also indicate that positive rating decisions do not have a significant effect. Finally, the MRA results reveal the importance of several factors related to primary study design, as well as to the nature of the data.     

Training and organisational performance: A meta‐analysis of temporal,institutional and organisational context moderators

Drawing on systems theory, we conducted a moderated meta‐analysis of the training and organisational performance relationship using 119 primary studies. We examined the moderating effects of quality versus quantity of training, time, institutional and organisational context factors in the relationship between training and organisational performance. Our findings reveal that training is positively and directly related to organisational performance with no statistically significant difference between measures of training quality and quantity. We found that the relationship was stronger over time and that country performance orientation and country labour cost moderate the training and organisational performance relationship. We found no evidence for the moderating effects of the three organisational context moderators we examined (i.e. industry sector, organisational size and technology intensity). Finally, our results reveal that training type (i.e. general or firm‐specific) does not moderate the training and organisational performance relationship.     

TECHNOLOGICAL INNOVATION AND EMPLOYMENT IN DERIVED LABOUR DEMAND MODELS: A HIERARCHICAL META‐REGRESSION ANALYSIS

The effect of technological innovation on employment is of major concern for workers and their unions, policy makers and academic researchers. We meta‐analyse 570 estimates from 35 primary studies that estimate a derived labour demand model. We contribute to existing attempts at evidence synthesis by addressing the risks of selection bias and that of data dependence in observational studies. Our findings indicate that: (i) hierarchical meta‐regression models are sufficiently versatile for addressing both selection bias and data dependence in observational data; (ii) innovation's effect on employment is positive but small and highly heterogeneous; (iii) only a small part of residual heterogeneity is explained by moderating factors; (iv) selection bias tends to reflect preference for upholding prevalent hypotheses on the employment effects of process and product innovations; (v) country‐specific effect‐size estimates are related to labour market and product market regulation in six OECD countries in a U‐shaped fashion; and (vi) OLS estimates reflect upward bias whereas those based on time‐differenced or within estimators reflect a downward bias. Our findings point out to a range of data quality and modelling issues that should be addressed in future research.     

DOES INVESTOR PROTECTION INCREASE FOREIGN DIRECT INVESTMENT? A META‐ANALYSIS

We undertake a meta‐analysis of the effects of international investment agreements for the protection of foreign investors on foreign direct investment using 2107 estimates drawn from 74 studies. Our meta‐analysis finds robust evidence that effect of international investment agreements is so small as to be considered zero.  However, our results do not rule out the possibility that the effect of these agreements is, in fact, positive and that current research methods are insufficiently powerful or precise to identify the underlying genuine effect. FDI from developed countries appears to be more responsive to the existence of investment protection, and there is evidence of publication–selection bias in favour of studies that find a positive effect for investor protection.     

Corporate Governance in China: A Meta‐Analysis

How has the impact of ‘good corporate governance’ principles on firm performance changed over time in China? Amassing a database of 84 studies, 684 effect sizes, and 547,622 firm observations, we explore this important question by conducting a meta‐analysis on the corporate governance literature on China. The weight of evidence demonstrates that two major ‘good corporate governance’ principles advocating board independence and managerial incentives are indeed associated with better firm performance. However, we cannot find strong support for the criticisms against CEO duality. In addition, we go beyond a static perspective (such as certain governance mechanisms are effective or ineffective) by investigating the temporal hypotheses. We reveal that over time, with the improvement in the quality of market institutions and development of financial markets, the monitoring mechanisms of the board and state ownership become more strongly related to firm performance, whereas the incentive mechanisms lose their significance. Overall, our findings advance a dynamic institution‐based view by substantiating the case that institutional transitions matter for the relationship between governance mechanisms and firm performance in the second largest economy in the world.     

INTEREST RATE PASS‐THROUGH: A META‐ANALYSIS OF THE LITERATURE

The interest rate pass‐through describes how changes in a reference rate (the monetary policy, money market or T‐bill rate) transmit to bank lending rates. We review the empirical literature on the interest rate pass‐through and systematize it by means of meta‐analysis and meta‐regressions. Using the pass‐through to corporate lending rates as the baseline, we find systematically lower estimated pass‐through coefficients in studies that focus on the pass‐through to consumer lending rates and rates on long‐term loans. Also studies estimating the pass‐through by averaging all lending rates into one category report a lower pass‐through. Importantly, the interest rate pass‐through is significantly influenced by the country's macro‐financial environment. In economies with deepening stock markets, the estimated pass‐through strengthens significantly. Interestingly, after the global financial crisis, the pass‐through weakened across the board, including because of growing trade openness and supply chain financing, rising volatility and stock market turnovers, as well as declining central bank independence. Inflation targeting frameworks, if in place, helped diminish this pass‐through weakening.     

How Competitive Action Mediates the Resource Slack–Performance Relationship: A Meta‐Analytic Approach

The fungibility of organizational slack provides firms significant latitude in addressing both internal and market pressures. A vast literature suggests that slack influences firm performance; however, the empirical record is mixed, and the underlying mechanism linking slack to performance remains ambiguous. We address these issues by theoretically expanding the slack–performance model to include mediation. Specifically, we develop and test a model in which a firm’s competitive behaviours direct the utilization of slack toward the realization of firm performance. Our meta‐analytic‐based structural equation model supports partial mediation, showing that competitive behaviours provide some resolution to the conflicted understanding of how slack affects performance. Further, we provide value to the slack literature by consolidating the evidence for the effects of various types and forms of organizational slack. Beyond providing robustness to our theoretical model, doing so offers a more complete understanding of how operationalizations of slack and performance outcomes matter.     

The Network‐Performance Relationship in Knowledge‐Intensive Contexts—A Meta‐Analysis and Cross‐Level Comparison

This study examines the generalizability of the network‐performance relationship across individual and group levels, focusing on knowledge‐intensive contexts. Drawing on a meta‐analytical approach, we synthesize the results of 102 empirical studies to test whether network characteristics such as centrality, brokerage, and tie strength similarly influence the job performance of individuals and groups. Results show that while there are no differences in the direction of the network‐performance relationship across levels, there are substantial differences in magnitude. Individual performance profits more strongly from a high number of direct connections, whereas groups reap higher benefits from brokerage positions. Additional analyses reveal that the network measurement method, tie content, and performance criteria function as moderators of the network performance relationship, but their influence is consistent neither across network characteristics nor across levels. By meta‐analytically comparing and contrasting the network‐performance relationship for individuals and groups, we contribute to multilevel research on networks and organizations. Particularly, we move toward the development of a multilevel homology theory of networks. Implications for theory, practice, and future research are discussed. © 2017 Wiley Periodicals, Inc.     

Employee ownership and firm performance: a meta‐analysis

Employee ownership has been an area of significant practitioner and academic interest for the past four decades. Yet, empirical results on the relationship between employee ownership and firm performance remain mixed. To aggregate findings and provide potential direction for future theoretical development, we conducted a meta‐analysis of 102 samples representing 56,984 firms. Employee ownership has a small, but positive and statistically significant relation to firm performance ( = 0.04). The effect is generally positive for studies with different sampling designs (samples assessing change in performance pre‐employee–post‐employee ownership adoption or samples on firms with employee ownership), different performance operationalisation (efficiency or growth) and firm type (publicly held or privately held). Suggesting benefits of employee ownership in a variety of contexts, we found no differences in effects on performance in publicly held versus privately held firms, stock or stock option‐based ownership plans or differences in effects across different firm sizes (i.e. number of employees). We do find that the effect of employee ownership on performance has increased in studies over time and that studies with samples from outside the USA report stronger effects than those within. We also find little to no evidence of publication bias.     

THE EURO'S TRADE EFFECT: A META‐ANALYSIS

Many studies have estimated the trade effect of the euro, but their results vary greatly. This meta‐analysis collects 3323 estimates of the euro effect along with 28 characteristics of estimation design from almost 60 studies and quantitatively examines the literature. The results show evidence of publication bias, but they also suggest that the bias decreases over time. After correcting for the bias, the meta‐analysis shows that the literature is consistent with an effect ranging between 2% and 6%. The results from Bayesian model averaging, which takes into account model uncertainty, show that the differences among estimates are systematically driven by data sources, data structure, control variables, and estimation techniques. The mean reported estimate of the euro's trade effect conditional on best‐practice approach is 3%, but is not statistically different from zero.     

Dynamic Capabilities and Organizational Performance: A Meta‐Analytic Evaluation and Extension

We move the dynamic capabilities view (DCV) forward in two important ways by meta‐analysing prior empirical studies. First, we evaluate the two core theoretical tenets of the DCV: (1) Dynamic capabilities are positively related to performance, and (2) this relationship is stronger in industries with higher levels of technological dynamism. We find support for the former (r_c = 0.296) but not for the latter, though results suggest the existence of moderators. Second, we theorize and demonstrate empirically that higher‐order dynamic capabilities are more strongly related to performance than lower‐order dynamic capabilities, lower‐order dynamic capabilities partially mediate the relationship between higher‐order dynamic capabilities and performance, and dynamic capabilities contribute more to performance in developing economies than in developed economies. These findings illustrate how the nature of the dynamic capability and the economic context in which it is utilized shape its value, thus offering a more nuanced conceptualization of the dynamic capabilities‐performance relationship.     

It is merely a matter of time: A meta‐analysis of the causality between environmental performance and financial performance

Research on the relationship between corporate environmental performance (CEP) and financial performance (CFP) continuously receives high attention in both general media and academic publications. One central issue concerns the causal effects between the two constructs. Because existing primary literature is characterized by its heterogeneous study designs and mixed empirical evidence, the aim of this paper is to explicitly shed light on the causality effects between CEP and CFP by means of a meta‐analysis of 893 empirical estimates from 142 CEP–CFP studies. Our findings suggest that in the short run (1 year), financial resources can increase a firm's environmental performance as proposed by the slack resources hypothesis; however, the effects disappear in the long run (after more than 1 year). Conversely, increasing environmental performance has no short‐term effect on a corporate financial performance, whereas a firm significantly benefits in the long term, which is in accordance with the Porter hypothesis. Overall, our results show that the causality between environmental performance and financial performance depends on the time horizon.     

Investor protection and value creation in cross‐border M&As by emerging economies

Previous research investigating cross‐border M&As (CBM&As) by emerging economies (EEs) provided contrasting evidence on the value enhancement role of investor protection rules. We conduct a new empirical study to address the issue with an accurate sample selection of bidders from more homogeneous developing countries and transactions on developed countries only. Our analysis over the 1997–2012 period on a sample of M&A deals by companies from Brazil, Russia, India, China, and South Africa (BRICS) does not provide evidence that better institutional standards in the destination country are rewarded by the local stock market. We find that foreign governance quality is not associated with positive excess stock returns around the announcement date. Rather, these returns are affected by firm‐specific and deal‐specific factors, such as the relative deal size, the listed status of the target company, and the acquirer size. Comparison with other studies on excess returns for emerging markets (including BRICs) suggests that the results could be driven at least partially by country choice.     

A meta‐analytic investigation of the relationship between HRM bundles and firm performance

Human resource management bundles consisting of multiple complementary practices are typically considered superior to individual best practices in influencing firm performance. This study investigates the relationship between three such bundles (empowerment, motivation, and skill‐enhancing) and business outcomes (retention, operating performance, financial performance, and overall performance ratings). A meta‐analysis of 239 effect sizes derived from 65 studies reveals that HRM bundles have significantly larger magnitudes of effects than their constituent individual practices, are positively related to business outcomes, and display effect sizes that are comparable to or larger than those of high‐performance work systems. These findings reaffirm the case for firm‐level investments in synergistic HRM combinations and highlight the importance of investing in complementary practices. © 2009 Wiley Periodicals, Inc.     

Innovation Offshoring,Institutional Context and Innovation Performance: A Meta‐Analysis

Innovation offshoring (IO) has become a widespread management practice. Yet, evidence on the performance implications is inconsistent, and scattered across disciplines and contexts. We argue that the benefits firms can derive from IO depend on the institutional environment at home. Drawing on recent work on institutional theory in international business, we explore institutions that facilitate reverse knowledge transfer and/or institutional arbitrage with respect to innovation‐related activities. The results of our meta‐analysis that synthesizes evidence from 48 samples show that IO is related positively to innovation performance. As predicted, this relationship is moderated by differences in the institutional environments across countries. Specifically, when national innovation systems are weak at home, IO appears to enable institutional arbitrage strategy whereas Confucian cultures enable more effective reverse knowledge transfer. However, contrary to our expectations, the beneficial effects of IO appear to have diminished over time.     

Environmental Orientation and Economic Performance: a Quasi‐experimental Study of Small Swedish Firms

This paper investigates the relationship between the environmental orientation and economic performance of small firms. We conduct a quantitative analysis on a sample of 299 environmentally oriented and all other small (2–49 employees) Swedish firms. We estimate the effect of environmental orientation on profit margin to examine how environmentally oriented firms perform in relation to non‐environmentally oriented firms. To do this, we employ a quasi‐experimental design in which we create a control group of non‐environmentally oriented firms that are very similar to their environmentally oriented counterparts. We use two measures of environmental orientation: (i) a third‐party classification, and (ii) a self‐assessment of environmental differentiation. The findings show a negative effect of environmental orientation on economic performance. Our contribution to the literature is in using a novel and more rigorous way to measure the relationship between environmental orientation and economic performance and providing implicit support for the existence of a causal link from economic performance to environmental orientation. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐Score Model

This paper assesses the classification performance of the Z‐Score model in predicting bankruptcy and other types of firm distress, with the goal of examining the model's usefulness for all parties, especially banks that operate internationally and need to assess the failure risk of firms. We analyze the performance of the Z‐Score model for firms from 31 European and three non‐European countries using different modifications of the original model. This study is the first to offer such a comprehensive international analysis. Except for the United States and China, the firms in the sample are primarily private, and include non‐financial companies across all industrial sectors. We use the original Z′′‐Score model developed by Altman, Corporate Financial Distress: A Complete Guide to Predicting, Avoiding, and Dealing with Bankruptcy (1983) for private and public manufacturing and non‐manufacturing firms. While there is some evidence that Z‐Score models of bankruptcy prediction have been outperformed by competing market‐based or hazard models, in other studies, Z‐Score models perform very well. Without a comprehensive international comparison, however, the results of competing models are difficult to generalize. This study offers evidence that the general Z‐Score model works reasonably well for most countries (the prediction accuracy is approximately 0.75) and classification accuracy can be improved further (above 0.90) by using country‐specific estimation that incorporates additional variables.     

Assessing Cumulative Evidence within ‘Macro’ Research: Why Meta‐Analysis Should be Preferred Over Vote Counting

Understanding the conclusions a body of evidence offers involves accumulating findings. Two recent articles used vote counting to assess the evidence related to important macro theories: transaction cost theory and resource‐based theory. Each concluded that its focal theory is not well supported. In contrast, recent meta‐analyses of the same theories concluded that both are strongly supported. We explain why macro researchers should trust the findings of meta‐analyses but not those of vote counts. A direct implication is that researchers interested in advancing transaction cost and resource‐based theories need to build upon the meta‐analytic evidence. A broader implication is that, as the preferred method for accumulating evidence, meta‐analysis can be a catalyst for the re‐evaluation of established theories and the development of new theory.     

THE EFFECTIVENESS OF ACTIVE LABOR MARKET POLICIES: A META‐ANALYSIS

This paper provides a meta‐analysis of microeconometric evaluation studies on the effectiveness of active labor market policies. The analysis is built upon a systematically assembled data set of causal impact estimates from 57 experimental and quasi‐experimental studies, providing 654 estimates published between January 1990 and December 2017. We distinguish between the short and longer term impacts in our analysis; at 6, 12, 24, and 36 months after program start. After correcting for publication bias and country‐specific macroeconomic characteristics, subsidized labor and public employment programs have negative short‐term impacts, which gradually turn positive in the longer run. Schemes with enhanced services including job‐search assistance and training programs do not have these negative short‐term effects, and stay positive from 6 until 36 months after program start.