Optimal Regulation of Eutrophying Lakes, Fjords, and Rivers in the Presence of Threshold Effects

Eutrophication is a biological process that has an unfavorable economic impact on the economic value of the water basins it affects. Eutrophication depends on thresholds effects, and optimal policies for the regulation of eutrophication must take this into account. Such optimal policies are derived in the present article by utilizing a novel technique in optimal control theory. This technique facilitates a proper analysis of deterministic stock pollutants with thresholds effects, a topic it is argued has been poorly understood in the literature.     

Is it time to reboot welfare economics? Overview

The contributions of economists have long included both positive explanations of how economic systems work and normative recommendations for how they could and should work better. In recent decades, economics has taken a strong empirical turn as well as having a greater appreciation of the importance of the complexities of real-world human behaviour, institutions, the strengths and failures of markets, and interlinkages with other systems, including politics, technology, culture and the environment. This shift has also brought greater relevance and pragmatism to normative economics. While this shift towards evidence and pragmatism has been welcome, it does not in itself answer the core question of what exactly constitutes ‘better’, and for whom, and how to manage inevitable conflicts and trade-offs in society. These have long been the core concerns of welfare economics. Yet, in the 1980s and 1990s, debates on welfare economics seemed to have become marginalised. The articles in this Fiscal Studies symposium engage with the question of how to revive normative questions as a central issue in economic scholarship.     

Brand trust and engagement in social commerce

With the surge in social media (SM) users around the world, the scope of social commerce (SC) in brand engagement is a prominent area of discussion. The present study empirically investigates the effect of social commerce construct (SCC), multi-dimensional constructs of social presence theory (SPT) and consumer generated content (CGC) on brand trust and brand engagement in SC platforms. An online survey was conducted among 625 Indian consumers who had made more than one purchase using SC platforms in the previous 6 months. Structural equation modelling technique was employed for testing the hypotheses and conceptual model. The results suggest that each element of SCC, SPT and CGC positively contributes to brand trust and engagement. Further, the study provides insight into brand trust and brand engagement in SM, which prompts brand usage intention of the consumers. The insights can be used by managers to create long-term customer relationship management action plans that emphasize brand trust and engagement.     

Fraud Firms' Non-Implicated CFOs: An Investigation of Reputational Contagion and Subsequent Employment Outcomes*

We investigate labor market consequences for CFOs employed by fraud firms, focusing on reputational contagion for those who are not implicated. These individuals provide an opportunity to understand reputational contagion and the nuanced meaning of “guilt” because the labor market may suspect complicity or infer negligence regardless of whether that is truly the case. We compare these CFOs to a matched sample of non-fraud CFOs and track both turnover and subsequent employment positions. Non-implicated CFOs are more likely to experience turnover compared to non-fraud CFOs, driven in particular by the public revelation of fraud to the labor market. We further find that non-implicated CFOs are more likely to obtain comparable subsequent employment than non-fraud CFOs before the fraud is publicly revealed, but not after. In supplementary analyses, we find that turnover rates are highest for non-implicated CFOs who started their employment with the firm before the fraud began as compared to non-implicated CFOs who started their employment after the fraud began. These results highlight the labor market significance of the public revelation of fraud and imply that the labor market does not fully distinguish between fraud firm association and general firm performance when making executive hiring decisions.     

South Korean social enterprises and their networks: On their organizational linkages at the interstice between the third,public, and corporate sectors

Social enterprise and government interactions have become an increasingly prominent theme in the literature on social entrepreneurship, due in part to the pressures confronting the welfare state and the rise of precarious work. This analysis is motivated by the efforts of the government of South Korea to incubate social enterprises since 2007. The constant scaling of the South Korean government's monitored social enterprise certification scheme had led to the registration of approximately 3440 social enterprises as of May 2021. This study documents the interorganizational network behaviour of these enterprises relative to the public sector, corporate sector, and civil society and the social economy. A cluster analysis approach is utilized to analyse network data obtained from a self-administered survey of 103 government-certified social enterprises operating in South Korea. We find that a sizeable number of government-certified social enterprises have diversified networks, as opposed to public sector-centric networks, although such social enterprises are in the minority. This study references social innovation cluster theory to argue that the aforementioned scheme has attained a partial degree of success in facilitating the emergence of social enterprises with diversified networks.However, the majority remain quasi-governmental implementers of government contracts and, generally, do not engage in networking.     

The impacts of multiperil crop insurance on Indonesian rice farmers and production

This article analyzes the effect of multiperil crop insurance policy for risk‐averse Indonesian rice farmers located in Tuban and Gresik Regencies of the East Java Province. Based on the model, comparative static analysis of a change in policy variables (coverage levels and premium subsidies) on input use through the coupling, wealth, and insurance effects are presented. The comparative static results are largely ambiguous and left as empirical questions. Consequently, the model is numerically simulated to quantify the effects of different coverage levels and subsidy rates on input use, expected net insurance payments, and certainty equivalents. The empirical analysis shows that MPCI crop insurance results in a decline in expected yield for coverage levels above about 82.5% for both regencies. Furthermore, higher subsidy rates amplify the reduction in input use and yield. Therefore, incomplete coverage with relatively low premium subsidies is the best policy to minimize the impact on input use and yield. However, from the farmers’ perspective, the optimal policy combination results from the highest coverage level and subsidy, which offer the largest expected net insurance payments and certainty equivalent.     

The value of genetic information to livestock buyers: a combined revealed,stated preference approach

DNA profile information has begun appearing in purebred bull auction catalogs; however, the value of this information is as of yet unknown. This study uses data from actual bull sales at a test station and combines it with stated‐preference survey data to determine the value of the DNA profile information. Consistent with previous research, we find that expected progeny differences (EPDs), test performance, and ultrasound information significantly influence bull‐buyers’ willingness‐to‐pay. The newer DNA profile information, however, was unrelated to buyers’ preferences. Methodologically, we find statistically significant differences (but highly correlated willingness‐to‐pay values) across the stated and revealed preference data sources.     

The Euro Crisis in the Mirror of the EMS: How Tying Odysseus to the Mast Avoided the Sirens but Led Him to Charybdis

Open Economies Review - Why was recovery from the euro area crisis delayed for a decade? The explanation lies in the absence of credible and timely policies to backstop financial intermediaries and...     

Skewness and index futures return

In this paper, we show that the individual skewness, defined as the average of monthly skewness across firms, performs very well at predicting the return of S&P 500 index futures. This result holds after controlling for the liquidity risk or for the current business cycle conditions. We also find that individual skewness performs very well at predicting index futures returns out-of-sample.