Environmental proactivity,competitive strategy,and market performance: The mediating role of environmental reputation

This article examines the impact of small and medium-sized enterprises' (SMEs) proactive environmental strategy on market performance through the mediating mechanism of environmental reputation. In addition, we investigate the potential moderating role of competitive strategies on the environmental reputation-market performance nexus. Data were collected from 223 SMEs. Using the hierarchical multiple regression analysis, the results show that a proactive environmental strategy positively enhances environmental reputation. Also, the influence of proactively environmental strategy on market performance is mediated by environmental reputation. In addition, our findings show the relationship between environmental reputation and market performance is greater for firms that adopt the differentiation strategy but not significant for firms adopting the low-cost and integrated strategies. Our study offers several theoretical and practical implications.     

What drives stock returns in Japan?

Financial Markets and Portfolio Management - We investigate systematic factors driving stock returns and stock return predictability in Japan. We find that dividend yield, cash-flow yield, and...     

What has New Zealand gained from The FTA with China?: Two counterfactual analyses†

We investigate the effects of the 2008 New Zealand (NZ)–China free trade agreement (FTA) on exports from NZ to China, and real GDP per capita in NZ using the synthetic control method to estimate the counterfactuals. NZ exports to China were more than 200% higher in 2014 than what they would have had the FTA never been signed. NZ's food and live animals exports to China were more than 180% higher in 2014 than the counterfactual. Our counterfactuals indicate a small but negative effect of the FTA on NZ's real GDP per capita between 2009 and 2012.     

You say you want a (Rose) Revolution? The effects of Georgia's 2004 market reforms

After Georgia declared its independence from the Soviet Union, it experienced civil war and strife for more than a decade. In late 2003, the peaceful Rose Revolution installed a new government that began a series of radical market‐liberal reforms. However, the effectiveness of these reforms was controversial. We offer a rigorous evaluation of these reforms via the synthetic control method which creates a credible counterfactual. Compared to the synthetic controls, we find that the reforms enacted after the Rose Revolution led to significant improvements in Georgia's social and economic development, albeit with temporary side effects and argue that this case provides some support for the effectiveness of rapid, multidimensional reform.     

Green technology innovation: Anatomy of exploration processes from a learning perspective

This paper examines how established firms use their core competences to diversify their business by exploring and ultimately developing green technologies. In contrast to start‐ups dedicated to a green mission, diversifying into green markets by developing new products based on existing core competences has proven to be challenging. This is because the exploration processes to find a match between green technology opportunities and internal competences is complex and new to most established firms. This paper gains insights into exploration processes for green technologies and the learning modes and outcomes linked to these processes. We examined exploration processes at the microlevel in an embedded case study of an engineering firm using a combination of the “fireworks” innovation process model and organizational learning theory. First, we found that developing green technologies involves a long‐term exploratory process without guarantee of (quick) success and likely involves many exploration failures. Second, as exploration unfolds along multiple technology trajectories, learning occurs in individual exploration paths (on‐path), when new paths are pursued (path‐initiation), and when knowledge from one path is spilled over to subsequent paths (across‐paths). Third, to increase their chances for success, firms can increase the efficiency of exploration by fostering a failure‐friendly organizational culture, deliberately experimenting, and purposefully learning from failures.     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Regulation and altruism

We study optimal contracts in a regulator–agent setting with joint production, altruistic and selfish agents, limited liability, and uneasy outcome measurement. Such a setting represents sectors of activities such as education and healthcare provision. The agents and the regulator jointly produce an outcome for which they all care to some extent that is varying from agent to agent. Some agents, the altruistic ones, care more than the regulator does while others, the selfish agents, care less. Moral hazard is present due to both the agent's effort and the joint outcome that are not contractible. Adverse selection is present too since the regulator cannot a priori distinguish between altruistic and selfish agents. Contracts consist of a simple transfer from the regulator to the agents together with the regulator's input in the joint production. We show that, under the conditions of our setting and when we face both moral hazard and adverse selection, the regulator maximizes welfare with a menu of contracts, which specify higher transfers for the altruistic agents and higher regulator's inputs for the selfish agents.     

Optimal regulation under imperfect enforcement: Permits,tickets, or both?

Economic activity is often regulated through both permits and tickets (subsequent inspections). We study the effectiveness of such policies where corruption and an underground economy make enforcement imperfect. In the theoretical model, asymmetric information justifies regulatory action which is enforced by corruptible bureaucrats. We find that regulation through permits alone is useless when corruption exists, while tickets still offer some benefit. Surprisingly, we also find that a system with both permits and tickets achieves welfare that is higher than that which can be achieved with only tickets—that combining the two mechanisms has an effect that is greater than the “sum of the parts.”     

Have SFAS 166 and SFAS 167 improved the financial reporting for securitizations?

Critics have alleged that securitization accounting prior to 2010 was among the causes of the recent financial crisis. In response to this criticism, the Financial Accounting Standards Board (FASB) implemented two new accounting standards, SFAS 166 and SFAS 167, to improve the financial reporting for securitizations. Bank regulators have stated their belief that SFAS 166/167 will result in a consolidated balance sheet (and risk-based capital ratios based thereupon) that better reflects a bank's exposure to risk related to securitized assets. We document that, by ceding retained power or influence through the servicing/special servicing functions to third parties, SFAS 166/167 resulted in real effects to the extent that banks (particularly those that were weakly capitalized) achieved their accounting objectives in the post-SFAS 166/167 period through legitimate transaction structuring in line with the intent of the new rules. Further, we use capital market participants’ assessments of risk retention by sponsoring banks as a benchmark, and provide evidence consistent with bank regulators’ beliefs. In particular, following SFAS 166/167, equity investors of sponsoring banks do not consider (consider) as risk relevant securitized assets that receive off-balance sheet (on-balance sheet) treatment. Securitized assets that are consolidated under SFAS 166/167 exhibit the same risk relevance as assets that are not securitized, despite contractual provisions that would seem to imply substantial risk transfer.     

Green human resource management and the enablers of green organisational culture: Enhancing a firm's environmental performance for sustainable development

Scholars have shown that green human resource management (GHRM) practices enhance a firm's environmental performance. However, existing studies fail to explain how GHRM initiatives can enable a green organisational culture or how such a culture affects the environmental performance and sustainable development of the firm. This paper examines the relationship between GHRM practices, the enablers of green organisational culture, and a firm's environmental performance. We conduct a large‐scale survey of 204 employees at Chinese manufacturing firms. Our findings suggest that proenvironmental HRM practices including hiring, training, appraisal, and incentivisation support the development of the enablers of green organisational culture. We suggest the key enablers of green organisational culture include leadership emphasis, message credibility, peer involvement, and employee empowerment. Our paper contributes to HRM theory in terms of originality and utility of research by explaining that the enablers of green organisational culture positively mediate the relationship between GHRM practices and environmental performance. Managers are provided with a detailed understanding of the GHRM practices needed to enable an organisational culture of environmentally aware employees. Finally, we address potential implications of this work for teaching green organisational culture to future generations of responsible managers.