Bank efficiency,productivity, and convergence in EU countries: a weighted Russell directional distance model

The objective of this study is three-fold. First we estimate and analyse bank efficiency and productivity changes in the EU28 countries with the application of a novel approach, a weighted Russell directional distance model. Second, we take a disaggregated approach and analyse the contribution of the individual bank inputs on bank efficiency and productivity growth. Third, we test for convergence in EU28 bank productivity as well as in the inefficiency of individual bank inputs. We find that bank efficiency has been undermined by the financial crisis in banks notably from the EU15 countries. We also argue that bank efficiency and productivity in EU countries vary across the banking sector with banks from the ‘old’ EU showing higher efficiency levels. Nonetheless, a noticeable catching up process is observed for banks from the ‘new’ EU countries. Consequently, we do not find evidence of group convergence for bank productivity but there is evidence of convergence in bank efficiency change and technical change among the EU28 countries throughout the period 2005–2014. The driving force seems to be convergent technical change from the old EU member states’ banks. On the other hand, almost no convergence is detected for the banks’ individual inputs while the transition paths show heightened diversity during the crisis years.     

Flood Risk Information,Actual Floods and Property Values: A Quasi‐Experimental Analysis

Hedonic property price analysis tells us that property prices can be affected by natural hazards such as floods. This paper examines the impact of flood‐related variables (among other factors) on property values, and examines the effect of the release of flood risk map information on property values by comparing the impact with the effect of an actual flood incidence. An examination of the temporal variation of flood impacts on property values is also made. The study is the first of its kind where the impact of the release of flood risk map information to the public is compared with an actual flood incident. In this study, we adopt a spatial quasi‐experimental analysis using the release of flood risk maps by Brisbane City Council in Queensland, Australia, in 2009 and the actual floods of 2011. The results suggest that property buyers are more responsive to the actual incidence of floods than to the disclosure of information to the public on the risk of floods.     

Measuring the Effect of Economic Growth on Countries’ Environmental Efficiency: A Conditional Directional Distance Function Approach

Using a recently developed probabilistic approach of a conditional directional distance function, we measure the effect of economic growth on countries’ environmental efficiency in carbon dioxide emissions for a sample of 99 countries over the period of 1980–2010. Our approach directly accounts for the exogenous factors influencing countries’ environmental production; therefore, we do not impose the separability condition on the estimated environmental efficiencies. When examining the entire sample as well as the sample of developed countries, our results reveal an inverted U-shaped relationship between countries’ GDP per capita and environmental efficiency. However, when examining the relationship for the sample of developing countries, the results reveal an N-shaped form. Moreover, our results show that countries ratifying the Kyoto Protocol tend to have higher efficiency scores, implying that their mitigation activity is less costly.     

Decomposition of Productivity Considering Multi‐environmental Pollutants in Chinese Industrial Sector

The objective of this study is to calculate and decompose productivity incorporating multi‐environmental pollutants in Chinese industrial sectors from 1992 to 2008. We apply a weighted Russell directional distance model to calculate productivity from both the economic and environmental performance. The main findings are: (1) Chinese industrial sectors increased productivity, with the main contributing factors being labor saving prior to 2000; (2) The main contributing factors for productivity growth in coastal areas include both economic and environmental performance improvement. While central and western regions improved productivity owing to economic development, they have a trade‐off relationship between economic and environmental performance.     

Productivity and convergence in India: A state-level analysis

Total factor productivity plays an important role in the growth of the Indian economy. Using state-level data from 1993 to 2005 that were recently made available, we find widespread regional variation in productivity changes. In the years immediately following economic liberalization, productivity growth improved technical efficiency; however, in subsequent years, productivity growth was propelled by technological progress. We find a tendency toward convergence with regard to productivity growth among states; however, the states that were technically efficient when the economic reforms were instituted remained innovative in later years.     

Environmental performance and returns to pollution abatement in China

Because of China's extremely rapid economic growth, the scale and seriousness of environmental problems is no longer in doubt. Whether pollution abatement technologies are utilized more efficiently is crucial in the analysis of environmental management in China. This study analyzes how the performance of environmental management has changed over time using province level data for 1992-2003. Mixed results for environmental performance are shown using nonparametric estimation technique. We find that environmental performance index, abatement effort, and increasing returns to pollution abatement play important roles in determining the pollution level over the period of the study.     

A Practical Teacher–Robot Collaboration Lesson Application Based on PRINTEPS

To support elementary school teachers in teaching by encouraging active learning while maintaining the interest of pupils, this study focuses on supporting teaching, learning, and monitoring the progress of students through a Teacher–Robot collaboration lesson application using not only laptops and tablets, but also robots and sensors. Since developing a lesson application is time consuming for teachers, we have developed an integrated intelligent application development platform named PRactical INTElligent aPplicationS (PRINTEPS) to aid Teacher–Robot collaboration. However, several functions and interfaces for education are missing. Therefore, in this study, we extend several functions for education to PRINTEPS. In addition, since it is necessary in learning and monitoring the progress of students to present learning content suitable to each pupil’s level of understanding, we also have provided support through the use of a tablet quiz system based on ontologies and rule bases. In the case study, we developed a Teacher–Robot collaboration lesson application and conducted lessons for sixth-grade pupils at an elementary school. From the case study, we have confirmed the effectiveness of our platform and the application.     

Catch limits,capacity utilization and cost reduction in Japanese fishery management

Japan's fishery harvest peaked in the late 1980s. To limit the race for fish, each fisherman could be provided with specific catch limits in the form of individual transferable quotas (ITQs). The market for ITQs would also help remove the most inefficient fishers. In this article we estimate the potential cost reduction associated with catch limits, and find that about 300 billion yen or about 3 billion dollars could be saved through the allocation and trading of individual‐specific catch shares.     

A laboratory assessment of the choice of vessel size under individual transferable quota regimes

This paper examines the effect of individual transferable quota regimes on technology choice, such as choice of vessel size, by using the laboratory experiment method. We find that even if vessel sizes change over time, the quota price can converge to the fundamental value conditioned on the vessels chosen. We also find that subjects choose their vessel type to maximise their profits based on the quota trading prices in the previous period. This result implies that the efficiency of quota markets in the beginning period is important because any inefficiency in quota markets may affect vessel sizes in ensuing periods. Moreover, we find that the initial allocations may significantly influence vessel sizes through two channels: first, a higher initial allocation to a subject increases the likelihood that the subject invests in a large‐sized vessel; second, the quota price may be higher and more unstable under unequal allocation than under equal allocation; thus, whether the allocation is equal influences subjects' choice of vessel type.