Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities

The paper applies both the standard DEA methodology with contemporaneous frontiers and DEA with sequential frontiers to study changes in productivity and efficiency in manufacturing for a sample of eleven OECD countries over a twenty-year period. It uses a decomposition of the industrial Malmquist productivity indices to locate the sources of productivity growth: 'technical progress' and 'catching up.' The alternative indices are interrelated in a unifying framework that provides an interpretation to their difference. We argue that for manufacturing industries, in which technological regress is unlikely to occur, DEA with sequential frontiers provides a more adequate measure for the contribution of technical changes than standard DEA.     

中国城市经济增长的效率与差异

本文在利用Malmquist指数和一系列反映地区差异的统计指标对中国216个地级市1990~2004年经济增长的效率和差异进行描述的基础上,针对2000年以来中国城市经济表现出的新特点,采用因子分析和空间计量方法分析了影响中国城市经济增长的主要因素,结果表明216个地级市TFP整体呈现增长趋势,城市经济的地区差异明显且呈扩大趋势。2000年以来影响中国城市经济增长的因子强度依次为:地理位置、产业结构与市场化水平和要素投入等。     

基础设施在中国农业全要素生产率中的作用

This paper uses the Malmquist index to examine the sources of Total Factor Productivity (TFP) in Chinese agriculture. The overall goal of this study is to create a framework for assessing the trend of China’s agricultural infrastructure and to measure its impact on Total Factor Productivity. The main methodological contribution is to provide more contributive measure of crop-specific technologies. Based on the province-level panel data set during 1988–2002, the primary finding is that infrastructure has positively and statistically significant association with the estimated coefficient on Total Factor Productivity for rice, wheat, maize, and bean. An erratum to this article is available at .     

Productivity and Technical Change in Malaysian Banking: 1989–1998

This study examines the impact of deregulation and technological change on the productivity of Malaysian banks over the period 1989–1998. Malmquist indices constructed with nonparametric DEA techniques are decomposed into their pure efficiency, scale efficiency, and technological change components. Our findings indicate an erosion of banking productivity that masks divergent tendencies among its component elements. These are dominated by adverse effects of technological change, which are associated with a reduction in the labor intensity of banking activity. Consistent with the mixed findings reported in the literature, the present investigation suggests that regulatory reform and liberalization are not sufficient conditions for productivity improvement.JEL classification: D24, G21This paper was written while Dogan was a member of Monash University Malaysia. Financial support from the Faculty of Business and Economics at Monash University is gratefully acknowledged, as are the constructive comments from two anonymous referees.     

江苏旅游业发展效率及对策研究——基于超效率DEA和Malmquist指数分析

文章利用超效率DEA模型和Malmqulst指数模型分别测算了江苏13市2001-2012年旅游业发展的静态效率与动态效率。结果显示:江苏旅游业静态效率保持先降后升的态势,从2001年的0.848下降到2006年的0.611,后又上升到2012年的0.824,12年间效率均值为0.726。各市旅游业效率存在显著的地区差异,且呈现逐步扩大的趋势。江苏旅游业动态效率(TFP)年均变化值-0.6%,增长主要来源于技术进步而不是规模效率的作用。在以上研究的基础上,提出提升江苏旅游业效率的对策,为旅游业持续、高效、健康发展提供理论参考。     

Productivity efficiency analysis of the airlines in China after deregulation

Using data envelopment analysis and the Malmquist productivity index, this paper studies productivity efficiency of various airlines in China after the Chinese government deregulated the aviation industry in 2005. The results show that the productivity efficiency of non-state-owned airlines improves rapidly and eventually exceeds state-owned airlines after the deregulation policy. Among the state-owned airlines, the productivity of the local airlines and their technical changes are better than those of the central airlines.     

Measuring destocking performance of the Chinese real estate industry: A DEA-Malmquist approach

This paper aims to measure the evolution of destocking performance of the Chinese Real Estate Industry based on a DEA (Data Envelopment Analysis)-Malmquist approach, which is seldom used in this industry in existing literature. In 2016, the Chinese government introduced a unified national destocking policy to reduce real estate inventory to save the downturn in the real estate market, but the effect was less than expected and led to soaring house prices in first-tier cities. By analysing the destocking performance over the period from 2005 to 2015, we find the following: (1) It is impossible to use a unified policy to effectively address the national destocking issue because of the difference of DMUs' destocking efficiency, input redundancy and total factor productivity score changes. (2) With the current destocking performance and investment status, the government is still ignoring the existing commercial real estate problems. (3) The redundancy of firm assets and staff indicates that zombie firms may exist and risk future unemployment in the real estate industry. (4) Despite the recently repeated government interventions in this industry, destocking performance remains falling since 2008, and problems in other regions is more severe than in central cities. (5) The financial crisis triggered by the US subprime mortgage crisis has had a great impact on China's real estate industry. The destocking performance dropped sharply in 2008, forcing the Chinese government to introduce policies to stimulate the real estate market. Policy recommendations are also put forward based on the findings.     

Airport efficiency in the dawn of privatization: The case of Greece

Until recently, all airports in Greece were owned and managed by the state; however, the recent economic crisis led the Greek government to privatize 14 regional airports. This paper evaluates the performance of the 38 Greek airports open to civil aviation just before the privatization was concluded. It also aims to highlight that the majority of airports with high efficiency were selected to be privatized. The analysis was performed applying Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) using 2011 and 2015 operational and financial data. Results showed that, despite the economic crisis, overall efficiency improved between 2011 and 2015, mainly due to the spectacular increase in incoming international passenger traffic. Changes in efficiency can be attributed by and large to exogenous factors such as operations of low-cost carriers and charter operators along with the seasonal operations of established carriers at individual airports. Findings confirm that the majority of high efficiency airports were offered to private investors.     

Productivity changes in pre-crisis Western European banks: Does scale effect really matter?

Insofar as the completion of the Single Market for Financial Services, it has presented new challenges for European Banking industries. In this study, we use a recently developed generalized metafrontier Malmquist productivity index (gMMPI) to provide insights on productivity growth. We extend the gMMPI to broaden the index's capacity by decomposing various sources of productivity change in the metafrontier context. The sample contains commercial banks from 12 Western European countries prior to the recent financial crisis. A key advantage of our extension is that it introduces the role of scale effects. The empirical results show that an average bank's productivity growth arises mainly from technical changes and scale effects. Moreover, smaller and larger banks grow faster than medium ones. In addition, conservative banks tend to grow faster. These findings suggest that a more competitive and integrated financial market induced by financial deregulation is indeed able to improve banks’ productivity.     

Comparing efficiency of holding business model and individual management model of airports

This research compares the efficiency of holding business model to individual management model of airports, employing some robust non-parametric partial frontier-based methods to compare the statistical distributions of efficiency, under different scenarios, to find out which group of airports yields better global performance. The comparison between groups will follow a Malmquist index decomposition, which seems to be the most appropriate tool for within- and inter-group performance comparison. For this purpose, a sample of 145 airports from three continents is utilized. The results provide evidence that European airports are the most productive ones, and within this cluster, the individual management model presented a significant frontier shift with respect the holding cluster frontier, meaning that the former is much more productive than the latter.