Corporate commitment to climate change action,carbon risk exposure,and a firm's debt financing policy

Motivated by the rising consensus that corporate engagement in climate change actions holds the key for society's transition into environmentally resilient economy, the study examines whether a firm's commitment to climate change action and its carbon risk exposure shape the firm's debt financing policy. Based on insights drawn from signaling, corporate reputation, and agency theories, we develop models that link corporate commitment to climate change actions and a firm's carbon risk exposure with its debt financing decisions. Using data drawn from S&P 500 companies, for years 2015 to 2019, we find a robust evidence that firms that engage in higher levels of commitment to climate change actions issue a higher proportion of debt with longer terms to maturity, even after controlling for their carbon risk exposure. However, we do not find a robust evidence corroborating an association between firms' carbon risk exposure and their debt financing policy. These findings are consistent with arguments that high-commitment firms enjoy positive reputation, better credit rating, and reduced agency and information asymmetry costs, allowing them to gain easier access to long-term debt markets.     

The reverse tragedy of the commons: an exploratory account of incentives for under-exploitation in an open innovation environment*

This paper presents an empirical account of a phenomenon that we refer to as the ‘reverse tragedy of the commons’ in open innovation. The name signifies the ‘under-exploitation’ of intellectual property (IP) under weak appropriability. The name is this graphic because the tragedy is costly, and can also render IP effectively worthless and block innovation in the short to medium term. We propose that the tragedy is borne out of the interaction between enterprise characteristics, a competitive setting and the framework that is set by the policy intervention. This finding is pertinent to policy-makers with regard to the design of research, development and innovation instruments, as well as managers who must determine how to implement open practices in innovation.     

基于PPP模式工程项目融资风险管理的思考

近年来,我国的经济发展较为迅猛,呈现出繁荣的景象。在此基础上,推动项目融资风险管理的出现与成长,而PPP模式较为突出,不同于暗含经济风险的传统型风险管理,能够在一定程度上助力政府财政支出压力的降低。但是需要多加关注的是,PPP模式的工程项目融资本身就具备一定的风险因素。为此,论文着眼于实际情况,充分考虑其基本特点,提出行之有效的防患策略,为我国顺利推进PPP模式工程项目管理工作提供一定的借鉴意义。     

Security regulations,access to capital markets,and firm performance: Evidence from China

This study explores the cost of security regulations in China, where firms are required to meet a certain profitability benchmark before applying for permission to raise more equity via secondary equity offerings (SEOs). Using a difference-in-differences setting, we show that firms affected by the regulation (i.e., firms with high external financing demands (EFD) but profitability lower than the regulatory requirement) significantly underperform their counterparts, while unaffected firms do not. The affected firms’ performance decline increases (decreases) when the requirement of profitability is more (less) restricted. Consistently, the three-day cumulative abnormal return (CAR) of firms with high EFD is significantly negative (positive) when the regulation is tightened (loosened). Our study provides evidence on how the cost of regulation affects companies that have growth opportunities.     

融资约束、区域金融发展与成长期企业并购——理论分析与经验证据

成长期企业并购对金融支持的依赖性高。通过建立信息经济学模型，可较好刻画成长期企业在并购过程中因为信息不对称和抵押物不足而面临的融资约束，同时在模型中引入区域金融发展因素，可以较好缓解融资约束，促进成长期企业并购。在理论分析基础上，以2012-2018年的上市公司及其并购数据为对象开展实证分析，实证结果同样显示成长期上市公司并购过程中存在明显的融资约束现象；同时区域金融发展能够缓解融资约束，进而提升成长期上市公司并购概率。理论分析和经验证据相互印证，揭示了区域金融发展通过缓解融资约束以支持成长期企业并购的机理和路径。     

政府质量、市场化程度与现金—现金流敏感性——来自后金融危机时期的经验证据

在中国式经济增长进程中,政府作为"幕后推手"日益引发各界关注。政府的质量取决于政府所提出的制度安排,而企业行为是对政府所制定的制度的反应。本文以2009—2011年我国上市公司经验数据为样本,检验政府质量、市场化程度与现金—现金流敏感性间的关系。实证结果发现,随着政府质量的提升,企业运用内部现金流积累现金的倾向减弱,表现为现金—现金流敏感性降低。同时发现,这种变化在不同市场化程度地区的企业中会呈现不同的特征。具体而言,伴随政府质量的提升,市场化程度较低地区的企业受惠于制度环境的优化,其现金—现金流敏感性显著降低,而市场化程度较高地区的企业这一变化并不明显。本文为解释地方政府推出制度优化经济环境的微观机制提供了经验证据。     

Informality and mobility

Informality is a defining characteristic of labour markets in developing and transition countries. This paper analyzes patterns of mobility across different forms of formal and informal employment in Russia. Using the Russian Longitudinal Monitoring Survey household panel we estimate a dynamic multinomial logit model with individual heterogeneity and correct for the initial conditions problem. Simulations show that structural state dependence is weak and that transition rates from informal to formal employment are not lower than from non-employment. These results lend support to the integrated view of the labour market.     

What caused Japan’s Great Stagnation in the 1990s? Evidence from an estimated DSGE model

Despite the widespread belief that Japan’s “Great Stagnation” in the 1990s is due to the financial dysfunction after the collapse of asset price bubbles, Hayashi and Prescott (2002) argue that its main cause is a slowdown in total factor productivity growth, using a calibrated neoclassical growth model. The present paper aims to fill this gap by estimating a New Keynesian dynamic stochastic general equilibrium model augmented with a financial accelerator mechanism and associated financial shocks. Our estimation results show that even in the presence of the financial shocks an adverse neutral technology shock mainly induced the Great Stagnation and that the rate of neutral technological change is strongly correlated with all enterprises’ financial position in the Tankan. Based on these findings, the paper argues that the Great Stagnation was caused by an adverse neutral technology shock that is likely to represent a tightening of firms’ financing, which induced reduction of R&D investment and misallocation of resources as indicated in previous literature.     

高校贷款融资风险评估与预警模型研究

创新高校贷款风险评估与预警模型,共筑财务系统"防火墙"。通过深入剖析高校债务风险凸显成因、影响路径及其特殊性,探索建立一套系统性强、涵盖面广、操作性强的风险评估与预警模型。并实证研究分析福建省A高校实施新校区项目所面临贷款规模、风险评估等问题,切合实际提出对策建议,为政府、高校和银行共同防范债务风险提供理论与实证依据,形成防范债务风险合力,促进高校健康、稳定、可持续发展。     

Can (unusual) weather conditions in New York predict South African stock returns?

This paper investigates the explanatory power of certain weather variables, measured as deviations from their monthly averages, in a leading international financial trading centre, i.e., New York, for South African stock returns, over the daily period January 2nd, 1973 to December, 31, 2015. The empirical results highlight that these unusual deviations of weather variables have a statistically significant negative effect on the stock returns in South Africa, indicating that unusual weather conditions in New York can be used to predict South African stock returns, which otherwise seems to be highly unpredictable. In fact, a forecasting exercise recommends that a trading rule that considers those weather variables through a GARCH modelling approach seems to outperform the random walk model and thus beat the market.