China's energy inefficiency: A cross-country comparison

This paper constructs a total-factor energy technical efficiency index using the data envelopment analysis (DEA) method following the total factor productivity framework. We then compare energy technical efficiency across 156 countries from 1980 to 2007. The results show that China's energy efficiency considerably trails other countries’ although it has made significant gains within the last 28 years. Further analysis indicates that scale inefficiency rather than pure technical efficiency contributes to China's energy inefficiency.     

The size and structure of China's government debt

This paper analyzes the size and structure of China's government debt. In addition to explicit government debt, we consider three types of government contingent liabilities: local government debt, university debt, and state banks’ nonperforming loans. The size of each types of debt is estimated and the reasons for the emergence of each type of debt are analyzed. International comparisons are made and it is found that China's government debt is larger than many other developing countries. To insure fiscal sustainability and to leave rooms for future expansionary fiscal policies, the government should reduce contingent liabilities.     

Nonparametric modelling of biodiversity: Determinants of threatened species

This study uses a sample of 71 countries and nonparametric quantile and partial regressions to model a number of threatened species (reptiles, mammals, fish, birds, trees, plants) in relation to various economic and environmental variables (GDPc, CO₂ emissions, agricultural production, energy intensity, protected areas, population and income inequality). From the analysis and due to high asymmetric distribution of the dependent variables it seems that a linear regression is not adequate and cannot capture properly the dimension of the threatened species. We find that using OLS instead of non-parametric techniques over- or under-estimates the parameters which may have serious policy implications.     

Approximate jackknife empirical likelihood method for estimating equations

It is known that the profile empirical likelihood method based on estimating equations is computationally intensive when the number of nuisance parameters is large. Recently, Li, Peng, & Qi (2011) proposed a jackknife empirical likelihood method for constructing confidence regions for the parameters of interest by estimating the nuisance parameters separately. However, when the estimators for the nuisance parameters have no explicit formula, the computation of the jackknife empirical likelihood method is still intensive. In this paper, an approximate jackknife empirical likelihood method is proposed to reduce the computation in the jackknife empirical likelihood method when the nuisance parameters cannot be estimated explicitly. A simulation study confirms the advantage of the new method. The Canadian Journal of Statistics 40: 110–123; 2012 © 2012 Statistical Society of Canada     

《二十年后》隐含作者的真义

欧·亨利《二十年后》在学界一直众说纷纭,无一定论。欧·亨利对于作品中人物究竟持何态度,从隐含作者切入,基于文本细读,深度分析作品,指出隐含作者表面行文温和,实际上却深刻鞭挞了社会黑暗面。真实作者与隐含作者存在一定的偏差,这种偏差缘于个人经历与社会因素。     

Financial inclusion in India: An axiomatic approach

In this paper we first develop an axiomatic measure of financial inclusion. This measure is readily implementable and useful to determine policy priorities to promote financial inclusion. Next, we demonstrate that supply side data on banking services can be usefully employed to measure financial inclusion. Third, we examine the effects of major banking policies on financial inclusion across states in India during 1972–2009, using panel data econometrics techniques. We find that the social-banking policy has played crucial role to foster financial inclusion across states in India during 1977–1990. Thereafter, the move toward pro-market financial sector reform has adversely affected the pace of financial inclusion. This paper identifies geographic penetration of banks and credit availability as two policy targets to foster financial inclusion in India.     

And yet they Co-move! Public capital and productivity in OECD

In this paper, we add to the debate on the public capital–productivity link by applying very recent developments in the panel time series literature that take into account cross sectional correlation in non-stationary panels. In particular, we evaluate the productive effect of public capital by estimating various production functions on a panel of 21 OECD countries over the period 1975–2002. Our results suggest that public capital has a positive long run impact on output, with elasticities that range between 0.05 and 0.15, depending on model specification. These findings are robust to the existence of spillover effects from public capital investments in other countries and to the inclusion of other productivity determinants, like human capital, the stock of patents and R&D capital. Finally, we do not find any important effect of public capital on GDP in the short run: this suggests that public infrastructure investments might not be a powerful countercyclical policy instrument.     

The impact of democracy and press freedom on corruption: Conditionality matters

This paper empirically analyzes the joint impact of democracy and press freedom on corruption. Based in the theoretical literature, we argue that both institutional features are complements rather than substitutes in controlling corruption. Our regressions are based on a cross section of 170 countries covering the period from 2005 to 2010 as well as on panel evidence for 175 countries from 1996 to 2010. The results show that democratic elections only work in controlling corruption, if there is a certain degree of press freedom in a country, vice versa. Our policy implication is that democratic reforms are more effective, if they are accompanied by institutional reforms strengthening the monitoring of politicians.     

The role of deliberate and experiential learning in developing capabilities: Insights from technology licensing

We discuss the interdependencies between deliberate and experiential learning in developing a dynamic technology licensing capability, which was termed ‘desorptive capacity’ in earlier conceptual work. We use new three-year lagged data from two surveys of 79 firms to examine the role of dedicated licensing employees and prior licensing experience in developing firms’ sensing, seizing, and transforming capacities in technology out-licensing. The findings emphasize capabilities’ multidimensionality and critical trade-offs due to interdependencies between deliberate and experiential learning in developing capabilities. Besides interdependencies with experiential learning, deliberate learning strengthens sensing and seizing capacity, but it negatively affects transforming capacity based on inertia.     

A review of RFID technology and its managerial applications in different industries

Radio frequency identification (RFID) is an emerging technology that is increasingly being used in supply chain management. RFID technology plays an important role in supporting logistics and supply chain processes because of their ability to identify, trace and track information throughout the supply chain. The technology can provide suppliers, manufacturers, distributors and retailers precise real time information about the products. This accurate knowledge of the inventory would result in lower labor cost, simplified business processes and improved supply chain efficiency. If properly used, it has the potential to cut ordering lead time and cost on inventory control, increase the accuracy of inventory information, help avoid stockouts and boost the number of inventory turns. In this paper, we provide an overview of the current state of RFID applications in different industries and its impact on business operations. We provide extensive literature survey and develop a framework for future research areas in this field.