A target-oriented DEA model for regional construction productive efficiency improvement in China |
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| Affiliation: | 1. Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong;2. School of Management Science and Real Estate, Chongqing University, Chongqing, China;1. Department of Civil Engineering, Yaşar University, Izmir, Turkey;2. Department of Computer Engineering, Bilkent University, Ankara, Turkey;1. Department of Information Science, Faculty of Sciences, Toho University, 2-2-1 Miyama, 274-8510 Funabashi, Japan;2. Department of Applied Mathematics and Computational Sciences, E.T.S.I. Caminos, Canales y Puertos, University of Cantabria, Avda. de los Castros, s/n, 39005 Santander, Spain;3. School of Civil Engineering, Universidad de Cantabria, Avda. de los Castros 44, E-39005 Santander, Spain;4. Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor SI-2000, Slovenia;5. R&D EgiCAD, School of Civil Engineering, Universidad de Cantabria, Avda. de los Castros 44, 39005 Santander, Spain |
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| Abstract: | China’s construction industry is a major contributor to economic growth during the past decade, but the industry has been mainly investment-driven without significant productivity improvement yet with high disparity across different regions. In the context of unbalanced regional development and resource allocation, stagnant performance of construction productivity is a common concern hindering the rapid and sustainable development of regional construction industry. The long-standing and escalating regional differences would not only undermine the overall performance of construction productivity, also lead to inefficient resource allocation and inappropriate target settings for future development. To address these issues, this study developed an overall efficiency measurement model for the construction industry, and then applied a Target-Oriented (TO) Data Envelopment Analysis (DEA) model to identify the optimal pathways for low efficiency provinces with the achievement of stage-wise targets in different regions of China. Comparison was made on construction productive efficiency, resource utilization, and recommendations were made for further improvement in three regions with different levels of economic development. The analytical and empirical results can provide insightful information for policy making and strategic planning with progressive efficiency improvement of regional construction industry of China. |
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| Keywords: | DEA Target-oriented modeling Construction productive efficiency Resource allocation Regional development |
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