4.7 Article

Evaluation on China's forestry resources efficiency based on big data

期刊

JOURNAL OF CLEANER PRODUCTION
卷 142, 期 -, 页码 513-523

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2016.02.078

关键词

Big data; China's forestry resources; DEA; Malmquist total factor productivity index

资金

  1. National Natural Science Foundation of China [71203153]
  2. Independent Innovation Foundation of Tianjin University [2013XS-0039]
  3. Tianjin Municipal Science and Technology Commission [2014ZLZLZF00002]

向作者/读者索取更多资源

The development of China's forestry resources has never been more challenging due to serious problems such as shortage, inferiority and uneven distribution of forestry resources. Therefore, the study and evaluation of China's forestry resources has a great significance to improve efficiency and ensure the sustainable development of the forestry resource. Meanwhile, the vast territory, huge population and widespread forest landscape of China have led to the numerous indexes and the huge data. To perform the research and evaluation accurately, this paper utilized the big data theory to analyze the relevant data of China's forestry resources. This study collected the data from 31 inland provinces and municipalities of China from 2005 to 2013, after which we carefully examined economic, social and ecological factors to choose assessment indexes and processed data accordingly. Firstly, we performed a cross-sectional dataset analysis using the method of data envelopment analysis to investigate the forestry resources efficiency in. 31 inland provinces and municipalities of China in years 2008, 2012 and 2013. Secondly, we analyzed time series data of the 31 inland provinces and municipalities from 2005 to 2013 using the Malmquist total factor productivity index method. Our results showed the dominant factor that restraining forestry resources efficiency for the 31 inland provinces and municipalities is the implemented technology. So we suggest increasing the investment in science and technology to improve the overall efficiency of forestry resources, along with improvement of operation and management by relevant administrative departments to improve technology utilization. The innovation of this paper lies in the dynamic process of analysis. (C) 2016 Elsevier Ltd. All rights reserved.

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