Negotiating leisure constraints: the case of an amateur musician with epilepsy

The purpose of this case study was to identify the negotiation strategies employed by an epileptic amateur musician engaged in serious leisure to overcome leisure constraints. Data were collected by semi-structured interview, observation and informal interaction. Results revealed that the subject employed various cognitive (i.e. anticipating benefits, weighing pros and cons, immediate resolving, accepting costs and pragmatism about performance) and behavioural (i.e. planning/event management, scaling back participation and communication and cooperation) negotiation strategies. While strategies were employed to overcome constraints, participation was also facilitated by individual beliefs and interpersonal relationships. Results also suggested that negotiation strategies are interconnected, and that perceived stigma did not influence participation in serious leisure.     

Do constraints created by economic growth targets benefit sustainable development? Evidence from China

An economic growth target is a declaration by policy authorities of commitment to that target and the corresponding allocation of resources. The constraints created by economic growth target are an important economic management method in China, which has helped China's economy to achieve remarkable achievements. However, it has also brought about serious environmental problems, threatening China's sustainable development. Using the data about economic growth targets in the work reports of 30 Chinese provincial governments from 2006 to 2017, this paper constructs several spatial measurement methods, such as the spatial Durbin model, to examine the constraints created by economic growth target's impacts on air pollution. The main conclusions are as follows. First, a significant “U-shaped” relationship exists between the constraints created by economic growth targets and air pollution. Second, the spatial Durbin model analysis revealed that PM_2.5 across China's provinces display significant positive spatial spillover effects and spatial agglomeration characteristics. Third, the direct, indirect, and total effects of constraints created by economic growth targets on air pollution are all statistically significant and depict a “U shape.” Finally, the constraints created by economic growth targets have an apparent threshold effect on air pollution, and the inhibiting effects increase with human capital and industrial restructuring. However, with the increase in foreign direct investments, constraints created by economic growth targets may increase air pollution. The conclusions of this paper are of great significance for improving the management of local government economic growth targets and sustainable development.     

Deciphering big data in consumer credit evaluation

This paper examines the impact of large-scale alternative data on predicting consumer delinquency. Using a proprietary double-blinded test from a traditional lender, we find that the big data credit score predicts an individual’s likelihood of defaulting on a loan with 18.4% greater accuracy than the lender’s internal score. Moreover, the impact of the big data credit score is more significant when evaluating borrowers without public credit records. We also provide evidence that big data have the potential to correct financial misreporting.     

Performance assessment of ensemble learning systems in financial data classification

Financial data classification plays an important role in investment and banking industry with the purpose to control default risk, improve cash and select the best customers. Ensemble learning and classification systems are becoming gradually more applied to classify financial data where outputs from different classification systems are combined. The objective of this research is to assess the relative performance of existing state‐of‐the‐art ensemble learning and classification systems with applications to corporate bankruptcy prediction and credit scoring. The considered ensemble systems include AdaBoost, LogitBoost, RUSBoost, subspace, and bagging ensemble system. The experimental results from three datasets: one is composed of quantitative attributes, one encompasses qualitative data, and another one combines both quantitative and qualitative attributes. By using ten‐fold cross‐validation method, the experimental results show that AdaBoost is effective in terms of low classification error, limited complexity, and short time processing of the data. In addition, the experimental results show that ensemble classification systems outperform existing models that were recently validated on the same databases. Therefore, ensemble classification system can be employed to increase the reliability and consistency of financial data classification task.     

Is working capital management value-enhancing through alleviating financial constraints? Evidence from Chinese non-listed firms

Financial factors have been found highly important in influencing firms’ real activities and in promoting aggregate growth. Yet, the linkage between finance and firm-level total factor productivity (TFP) has been overlooked in the literature. I fill this gap using 147,310 non-listed Chinese firms over the period 1999–2007 to estimate a TFP model augmented with working capital. I find that TFP is strongly and significantly associated with working capital for private and foreign firms, but not for SOEs. More specifically, an increase in working capital has a negative (positive) effect on TFP in firms with positive (negative) working capital. Furthermore, highly external financial constrained, highly internal financial constrained, under-developed institutional regions and small size private and foreign firms are more sensitive to working capital.     

The Bank Lending Channel Revisited

A central proposition in research on the role of banks in the transmission mechanism is that monetary policy imparts a direct impact on deposits and that deposits act as the driving force of bank lending. This paper argues that the emphasis on policy‐induced changes in deposits is misplaced. A reformulation of the bank lending channel is proposed that works primarily through the impact of monetary policy on banks’ balance sheet strength and risk perception. Such a recasting implies, contrary to conventional wisdom, that greater reliance on market‐based funding enhances the importance of the channel.     

The productivity of agricultural credit in India

This study examines the nature of the relationship between formal agricultural credit and agricultural Gross Domestic Product (GDP) in India, specifically the role of the former in supporting agricultural growth, using state level panel data covering the period 1995–1996 to 2011–2012. The study uses a mediation analysis framework to map the pathways through which institutional credit relates to agricultural GDP relying on a control function approach to tackle the problem of endogeneity. The findings from the analysis suggest that over this period, all the inputs are highly responsive to an increase in institutional credit to agriculture. A 10% increase in credit flow in nominal terms leads to an increase by 1.7% in fertilizers (N, P, K) consumption in physical quantities, 5.1% increase in the tonnes of pesticides, 10.8% increase in tractor purchases. Overall, it seems quite clear that input use is sensitive to credit flow, whereas GDP of agriculture is not. Credit seems therefore to be an enabling input, but one whose effectiveness is undermined by low technical efficiency and productivity.     

黑土地保护性耕作发展的制约瓶颈和突破路径

保护性耕作是东北黑土地保护利用的有效途径,是落实"藏粮于地、藏粮于技"战略的重要抓手。新世纪以来,黑土地保护性耕作经历了从农机主导向农机农艺融合发展的历程,呈现出技术结构集成化、推广主体多元化、应用主体规模化的发展趋势。同时,在黑土地保护性耕作发展过程中,面临着来自于农户认知、技术结构、土地规模、推广体系、补偿机制等方面的现实障碍。因此,需要从提升农户认知水平、加强先进适用的技术研发与集成、推进农业生产经营方式创新、构建新型农技推广体系、加强政策引导与法制建设等方面营造黑土地保护性耕作的发展之路。     

Usury laws and private credit in Lima,Peru. Evidence from notarized records

I examine the impact of usury laws on the Peruvian credit market between 1825 and 1852. Using a new data set of nearly 2,000 loans from archival sources, I show that the repeal of colonial anti-usury laws in early 1833 had an important effect on the allocation of credit in Lima. It increased interest rates and promoted access to credit. Furthermore, lenders made loans with greater maturities after the repeal of usury laws.     

How Media Coverage of Corporate Social Irresponsibility Increases Financial Risk

Research summary: This article explores the relationship between corporate social irresponsibility (CSI) and financial risk. We posit that media coverage of CSI generates risk by providing conditions that increase the potential for stakeholder sanctions. Through analyzing an international panel of 539 firms during 2008–2013, we find that firms receiving higher CSI coverage face higher financial risk. We show that the reach of the reporting media outlet is a critical condition for this relationship. Once the outlet has a high reach, the severity of CSI coverage is a boundary condition that further reinforces the effect. Our findings complement existing theory about the risk‐mitigating effect of corporate social responsibility by illuminating the risk‐generating effect of CSI coverage. For executives, these insights suggest complementary strategies for corporate risk management. Managerial summary: This article examines the effect of negative news on financial risk. It shows that negative media articles regarding environmental, social, and governance (ESG) issues increase a firm's credit risk. It also provides a detailed analysis of the impact of an article's reach and severity, i.e., how many readers are exposed to the article and how harshly it criticizes the firm. The results allow to quantitatively assess the risk that emanates from negative ESG news. For executives, three strategies are derived for limiting a firm's exposure to this risk: balancing corporate social responsibility programs with operational safety programs, reporting suboptimal environmental and social performance transparently and proactively, and avoiding acquisition targets and markets with a legacy of negative news. Copyright © 2017 John Wiley & Sons, Ltd.