Title: Efficiency evaluation of regional economic development of mining and metallurgy city based on DEA model

Authors: Yazhou Xiong; Shiyu Zhang; Jie Lan; Fen Chen

Addresses: Research Centre of Mining and Metallurgy Culture and Socio-economic Development in the Middle Reaches of the Yangtze River, Hubei Polytechnic University, 16, Guilin North Road, Huangshi, China ' School of Economics and Management, Hubei Polytechnic University, 16, Guilin North Road, Huangshi, China ' School of Economics and Management, Hubei Polytechnic University, 16, Guilin North Road, Huangshi, China ' School of Economics and Management, Hubei Polytechnic University, 16, Guilin North Road, Huangshi, China

Abstract: As the second largest city in Hubei province in the past, Huangshi city's mining and metallurgy culture has a long history. As data collection difficulty and research integrity, this study includes the Hubei province as research scope. Mining and metallurgy economy is an important content of mining and metallurgy culture. Based on the input-output data of Hubei province from 2012 to 2016, the study applies CCR model of the DEA method to setup an evaluation indicator system of regional economy development efficiency. As a typical representative of mining and metallurgy city, Huangshi is taken as an example to be made the projection analysis on some non-DEA efficient areas. Based on the angle of mining and metallurgy city, some measures are put forward the in improving the efficiency of regional economic development. The established indicators system has a certain significance in enriching the existing research and projection analysis of the assessment results have certain guiding significance to adjust the input and output of major municipalities.

Keywords: CCR model; data envelopment analysis; DEA; decision making unit; DMU; efficiency evaluation.

DOI: 10.1504/IJADS.2019.100439

International Journal of Applied Decision Sciences, 2019 Vol.12 No.3, pp.242 - 256

Received: 05 Sep 2018
Accepted: 24 Oct 2018
Published online: 28 Jun 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article