工业经济学新体系研究

当工业经济学的客观基础发生了极大的变化，传统的工业经济学已经难以驾驭的时候，工业经济学本身应该做怎样的调整和发展呢?《新编工业经济学》的研究对象是：在市场经济条件下，工业生产以及同工业生产直接相关的经济行为、经济关系和经济规律，包括工业品生产、交换、消费过程中的一切经济现象。工业生产是采取自然物质资源，通过加工制造活动进行物质形态转换，使之成为人类生产和生活所需要的物质资料的过程。而在经济学的学科分类中，工业经济学就是研究工业生产领域中有限资源的有效利用和配置，以及由此产生的社会生产关系和人类福利问题的经济学分支学科。工业经济学是一门与时俱进的学科，关于其学科体系的研究尚处于初步阶段，而且工业经济学具有开放性。所以，工业经济学的学科体系是可发展的。随着研究的深入，工业经济学的学科体系也将不断完善和更具科学性。     

The adoption of information technology in the sales force

The purpose of this article is to explain why salespeople adopt information technology. The results from a cross-sectional study of 229 salespeople indicate that putting sales technology to use strongly depends on salespeople's perceptions about the technology enhancing their performance, their personal innovativeness and organizational efforts in terms of user training. Throughout the adoption process companies also need to target sales line managers-next to end users-because salespeople clearly comply with the expectations of their supervisors. Finally, the threat from competing sales professionals or peers who use similar sales technology seems to be of secondary importance for individual sales technology adoption.     

Sales force technology usage—reasons, barriers, and support: An exploratory investigation

Increasingly, salespeople are being asked to adopt and use a variety of technologies to increase their selling productivity and efficiency, including sales force automation and customer relationship management technologies. However, little research has investigated what happens once sales force automation (SFA) technology is adopted. This paper explores the reasons why salespeople use SFA technologies, the perceived barriers to SFA usage and how management can increase the usage of SFA technology. First, a qualitative study was performed to gain insight about salespeople's automation technology usage and the reasons why some salespeople fully use or do not utilize technology. After the initial study, 130 salespeople were surveyed. More productivity/efficiency was the main reason why salespeople use technology, the lack of management and technical support proved to be the main barrier to usage, and training proved most effective in increasing usage of SFA technology. Sales managers are provided with implications of the findings.     

Benefits of Downward Earnings Management and Political Connection: Evidence from Government Subsidy and Market Pricing

This paper examines the role of downward earnings management and political connection on the receipt of government subsidies and market pricing of subsidies. Using subsidies data hand-collected from Chinese listed firms over the period 2004–2014, the results show a significantly positive association between downward earnings management and the receipt of government subsidies. The results also reveal that a firm's political connection is conducive to securing subsidies for poor performers, but not for good performers. Market pricing analyses demonstrate that share markets value subsidies positively in general, but the effect is ameliorated in firms conducting downward earnings management. No discernible difference is found between the market pricing of subsidies received by firms with political connections and those without.     

Top Management Team Characteristics and Accrual-Based Earnings Management

This study examines how top management team (TMT) knowledge and average tenure affect accrual-based earnings management by investigating 4791 Taiwanese listed companies from 2006 to 2010. TMT members with more knowledge (higher education level, more accounting expertise, and greater prior top management experience) and longer average tenure have better performances and higher reputations, and are more aware of the litigation costs of earnings manipulations; therefore, they reduce managers' incentives to manage earnings (incentive-reduction effect). On the other hand, these TMT members are also likely to become entrenched and engage in more earnings manipulations (entrenchment-enhancing effect). The empirical results show that firms' TMT knowledge and average tenure are negatively associated with discretionary accruals, suggesting that the incentive-reduction effect is stronger than the entrenchment-enhancing effect, which makes TMT members less likely to engage in earnings management. Moreover, the above results are robust when employing different earnings management measures and suspect firm analyses, as well as considering endogeneity issues. Finally, the study suggests that the presence of a founding family may reduce the influences of TMT knowledge and average tenure on earnings management.     

Cross‐Firm Real Earnings Management

Our analysis is rooted in the notion that stockholders can learn about the fundamental value of any firm from observing the earnings reports of its rivals. We argue that such intraindustry information transfers, which have been broadly documented in the empirical literature, may motivate managers to alter stockholders’ beliefs about the value of their firm not only by manipulating their own earnings report but also by influencing the earnings reports of rival firms. Managers obviously do not have access to the accounting system of peer firms, but they can nevertheless influence the earnings reports of rival firms by distorting real transactions that relate to the product market competition. We demonstrate such managerial behavior, which we refer to as cross‐firm real earnings management, and explore its potential consequences and interrelation with the practice of accounting‐based earnings management within an industry setting with imperfect (nonproprietary) accounting information.     

Moments of renewal shot-noise processes and their applications

In this paper, we study the family of renewal shot-noise processes. The Feynmann–Kac formula is obtained based on the piecewise deterministic Markov process theory and the martingale methodology. We then derive the Laplace transforms of the conditional moments and asymptotic moments of the processes. In general, by inverting the Laplace transforms, the asymptotic moments and the first conditional moments can be derived explicitly; however, other conditional moments may need to be estimated numerically. As an example, we develop a very efficient and general algorithm of Monte Carlo exact simulation for estimating the second conditional moments. The results can be then easily transformed to the counterparts of discounted aggregate claims for insurance applications, and we apply the first two conditional moments for the actuarial net premium calculation. Similarly, they can also be applied to credit risk and reliability modelling. Numerical examples with four distribution choices for interarrival times are provided to illustrate how the models can be implemented.     

采用PPP模式建设公租房是否可行？——基于效用理论视角的比较研究

从利益相关者的效用和福利的角度,构建PPP模式和公共管理模式建设公租房的比较模型,分别分析在信息对称情形下和信息不对称情形下的比较结果.研究发现:在信息对称情形下,PPP模式建设公租房所产生的福利永远不可能高于公共管理模式;然而更加贴近实际的是信息不对称情形,此情形下,政府的资金约束愈大,项目的风险愈大,采用PPP模式愈优.     

Learning minimum variance discrete hedging directly from the market

Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.     

Value relevance of proportionate consolidation versus the equity method: Evidence from Hong Kong

Whether proportionate consolidation (PC) or the equity method (EM) provides more informative financial statements is a controversial issue. This study uses data from listed companies in Hong Kong to investigate the value relevance of the EM compared with PC during 2005–2008 when the local word-for-word equivalent HKAS 31 offered the same options. The results of this study provide evidence that PC does not offer higher value relevance than the EM. PC’s horizontal aggregation of a portion of the operations, assets and liabilities of the jointly controlled entities with those of the venturer is less informative to investors than the EM’s vertical aggregation.