How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis

China's transport sector has been attracting great attention for its excessive energy consumption and ever-increasing pollution emissions. Thus, reducing energy intensity is one of the top priorities of China's ongoing transport upgrade. In this paper, by establishing a panel data regression model derived from the Cobb–Douglas cost function, we focus on investigating the impacts of energy price and transport productivity on transport energy intensity at the national and regional levels. The study uses the provincial panel data for 2005–2016 to perform regression analysis. The results show that: (1) energy price has a significantly negative effect on transport energy intensity in the whole China and the eastern region, whereas it has no significant impacts in the central and western China. (2) Improvements in transport productivity can effectively decrease transport energy intensity in the whole China and the three major regions. (3) Applying an extended data envelopment analysis (DEA) approach, we decompose transport productivity into four components (i.e., technical change, technology gap change, scale efficiency change, and pure efficiency change) and further differentiate their impacts in different regions. The results indicate that these four components have substantially different impacts in each region. These results provide some valuable insights for policymakers and enterprise entities aiming to adopt measures to reduce energy intensity and achieve sustainable development in China's transport sector.     

Size and value effects in high-tech industries: The role of R&D investment

We use monthly US stock data over 55 years from 1962 to 2017 to show that the R&D intensity at firms adds another important dimension to the size and value effects in describing stock returns, especially for small high-tech firms. A trading strategy that double sorts on R&D intensity and size or book-to-market ratio outperforms a simple small-minus-big (SMB) or high-minus-low (HML) strategy in producing higher and more significant portfolio returns. The most profitable schemes involve triple sorts by size, BM, and R&D intensity: the payoffs of buying high-BM/R&D-Active portfolio and selling low-BM/R&D-Inactive portfolio in the small-size/high-tech group and that of buying high-tech/high-BM and selling low-tech/low-BM in the small-size/R&D-active group generate a return of more than 2% on a monthly basis. Our results are robust to alternative classification method of assigning stocks in portfolios.     

The determinants of capital intensity in Japan and the US

We estimate the determinants of capital intensity in Japan and the US, characterized by striking different paths. We augment an otherwise standard Constant Elasticity of Substitution (CES) model with demand-side considerations, which we find especially relevant in the US. In this augmented setting, the elasticity of substitution between capital and labor is placed between 0.74 and 0.90 in Japan, and around 0.30 in the US. We also find evidence of biased technical change, which is capital-saving in Japan but labor-saving in the US. These differences help us explain the diverse experience in the capital deepening process of these economies, and lead us to conclude that demand-side drivers, quite relevant in the US, may also be relevant to account for different growth experiences. A close look at the nature of technological change is also needed before designing one-size-fits-all industrial, economic growth, and/or labor market policies.     

会计师事务所质量控制之我见——从质量控制准则的新变化角度分析

文章从质量控制内容、质量控制目标、质量控制制度要素、质量控制强度等方面分析新准则的进步,并就我国会计师事务所如何适应质量控制准则的变化,加强质量控制提出了几点设想和建议。     

指数化股票期权激励及其在我国应用性分析

文章在阐述指数化股票期权的产生、特性的基础上,分析了指数化股票期权在我国应用的必要性、可行性和有效性,并指出在指数化股票期权激励设计中要注意的事项及相关政策.     

Modeling loan commitments

Loan commitments represent more than 82 percent of all commercial and industrial loans by domestic banks. This paper develops a valuation model for loan commitments incorporating early exercise, multiple fees, partial exercise and credit risk. The model is analytically tractable and easy to implement. Using a sample of commercial paper backup credit lines from the Dealscan database, we show that our model prices closely match loan commitment market prices.     

中国工业行业资本-劳动替代弹性估计及影响因素研究

基于超越对数生产函数的随机前沿模型估计2001—2015年中国工业行业的资本-劳动替代弹性,并对其影响因素进行分析,结果表明：劳动密集型行业的资本-劳动替代弹性普遍高于技术密集型行业,而后者又普遍高于资本密集型行业;行业开放程度、研发密度、产权属性、资本-劳动比、资产负债率、《劳动合同法》实施以及金融危机等因素都会影响资本-劳动替代弹性。     

Executive flight simulator as a learning tool in new companies’ resource planning based on the balanced scorecard

In many cases, a deficient strategic planning in new companies has led entrepreneurs to take inadequate initial decisions that, in the long term, reflect consequences in the failure of many new businesses. The objective of this article is to propose an executive flight simulator, which will help to identify and evaluate the different development strategies for resources of a new manufacturing company, under the four perspectives of the balanced scorecard, educating the user on the impact that these would have in the main performance indicators. The simulator is designed utilizing the focus of system dynamics to be used didactically in master's degree programs in administration, by entrepreneurs or in executive development programs.     

Interacting default intensity with a hidden Markov process

In this paper we consider a reduced-form intensity-based credit risk model with a hidden Markov state process. A filtering method is proposed for extracting the underlying state given the observation processes. The method can be applied to a wide range of problems. Based on this model, we derive the joint distribution of multiple default times without imposing stringent assumptions on the form of default intensities. Closed-form formulas for the distribution of default times are obtained which are then applied to solve a number of practical problems such as hedging and pricing credit derivatives. The method and numerical algorithms presented can be applicable to various forms of default intensities.