RESEARCH ON WATER USE EFFICIENCY & ENVIRONMENT BASED ON SBM AND MALMQUIST-LUENBERGER INDEX MODEL: TAKING JIANGXI PROVINCE AS AN EXAMPLE

被引:0
|
作者
Huang, Wen [1 ,2 ]
机构
[1] Jiangxi Univ Finance & Econ, Sch Stat, Nanchang 333000, Jiangxi, Peoples R China
[2] East China Univ Technol, Sch Sci, Nanchang 330032, Jiangxi, Peoples R China
来源
FRESENIUS ENVIRONMENTAL BULLETIN | 2020年 / 29卷 / 08期
关键词
Water resources; environment; growth drag; water efficiency; SBM model; Malmquist-Luenberger index;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Improving water efficiency could solve China's water shortage issues, and also help to achieve high quality development of the water resources environment. This paper studies the water use efficiency of Jiangxi Province with sufficient water resources. First, the Romer model is used to measure the growth drag of the water resources environment in Jiangxi Province and 11 municipalities under its jurisdiction. The model first measures water efficiency. and then decompose the technical efficiency and technological progress or innovation index of water efficiency by using the Malmquist-Luenberger index. It was found that overall, the "growth drag" of water resources to the economy of Jiangxi Province is not obvious. However, the impact of the "growth drag" on the regional differences are very obvious, among which Lanzhou and Shangrao are the highest. The water efficiency of Jiangxi Province is generally average. The water efficiency of all cities except Jiujiang is 0.8 or above, The improvement of insufficient utilization in water efficiency is mainly due to technological progress or innovation. The technological progress or innovation could produce more output with less investment. The study has a certain significance for guiding the healthy and sustainable development of water resources in this area and other similar areas.
引用
收藏
页码:7014 / 7022
页数:9
相关论文
共 50 条
  • [21] ANALYSIS OF INPUT AND OUTPUT EFFICIENCY OF RESEARCH UNIVERSITY IN CHINA (2000-2015): BASED ON THE SBM OF SUPER-EFFICIENCY DEA MODEL AND GLOBAL MALMQUIST INDEX ANALYSIS
    Wang Chuanyi
    Cheng Zhe
    Zhao Shikui
    TRANSFORMATIONS IN BUSINESS & ECONOMICS, 2017, 16 (2B): : 656 - 672
  • [22] Evaluation and spatiotemporal characteristics of atmospheric environment efficiency in Shandong province based on super-SBM model
    Huang, Xiaobing
    Liu, Min
    Chen, Rundong
    Gao, Shiqi
    Xie, Qianqian
    Feng, Qingling
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2021, 3 (11):
  • [23] Estimation of China's Green Investment Efficiency in Belt and Road Countries -Based on SBM-Undesirable Model and Malmquist Index Model
    Lan, Qingxin
    Tang, Wan
    Hu, Qiao
    FRONTIERS IN ENERGY RESEARCH, 2022, 9
  • [24] Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA-Malmquist Model
    Cheng, Lifen
    Song, Song
    Xie, Yufeng
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [25] Research on Energy Efficiency Evaluation of Provinces along the Belt and Road under Carbon Emission Constraints: Based on Super-Efficient SBM and Malmquist Index Model
    Yan, Yuxin
    Chen, Yubao
    Han, Minghua
    Zhen, Hui
    SUSTAINABILITY, 2022, 14 (14)
  • [26] Evaluation of China's Marine Aquaculture Sector's Green Development Level Using the Super-Efficiency Slacks-Based Measure and Global Malmquist-Luenberger Index Models
    Yang, Deli
    Wang, Qionglei
    SUSTAINABILITY, 2024, 16 (08)
  • [27] The Research of Technology Innovation Efficiency of High - tech Industry in Shandong Province Based on SBM - DEA Model
    Wang, Peizhi
    Zhang, Shuyue
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION AND SOCIAL SCIENCE (ICMESS 2017), 2017, 72 : 605 - 609
  • [28] Spatial and Temporal Analyses of Water Resources Use Efficiency Based on Data Envelope Analysis and Malmquist Index: Case Study in Gansu Province, China
    Ren, Chongfeng
    Guo, Ping
    Yang, Gaiqiang
    Li, Ruihuan
    Liu, Lei
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2016, 142 (12)
  • [29] Research on financing efficiency of big data industry based on three stage DEA - Taking Guizhou Province as an example
    Li Chenggang
    Pan Kang
    PROCEEDINGS OF THE 2ND INTERNATIONAL FORUM ON MANAGEMENT, EDUCATION AND INFORMATION TECHNOLOGY APPLICATION (IFMEITA 2017), 2017, 130 : 438 - 442
  • [30] Research on the efficiency of green development of industry in Chinese prefecture-level oil and gas cities based on super-efficient SBM-DEA model and Malmquist index
    Fei, Sun
    Sun, Chongliang
    Jie, Luo
    An, Yana
    Sun, Haiyan
    FRONTIERS IN EARTH SCIENCE, 2023, 10