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ZHANG Ying, YANG Gui-hong, LI Zhuo-wei. Analysis of input-output efficiency of forestry in Beijing based on DEA model[J]. Journal of Beijing Forestry University, 2016, 38(2): 105-112. DOI: 10.13332/j.1000-1522.20150334
Citation: ZHANG Ying, YANG Gui-hong, LI Zhuo-wei. Analysis of input-output efficiency of forestry in Beijing based on DEA model[J]. Journal of Beijing Forestry University, 2016, 38(2): 105-112. DOI: 10.13332/j.1000-1522.20150334
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Analysis of input-output efficiency of forestry in Beijing based on DEA model

  • School of Economics and Management, Beijing Forestry University, Beijing, 100083, P. R. China.

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  • Received Date: September 12, 2015
  • Revised Date: October 20, 2015
  • Published Date: February 28, 2016
    Graphical Abstract
    • Abstract
  • The ecological and environmental safety in the capital city is an issue always highly concerned by the government of China. In recent years, Beijing has greatly increased investment in forestry, and also attracted a wealthy of social funds to uplift the overall level of forestry and the forest ecosystem services. In order to improve the forestry input-output efficiency and to achieve the effective allocation of forestry resources and economies of scale, we selected six forestry input-output indexes, i.e., forestry investment in fixed assets, number of employees at the end of the year in forestry sectors, planting area, proportion of forestry industrial structure, output value of forestry industry and the rate of woody plant cover, and used DEA model which considers the return and scale (BC2-DEA model) to calculate the forestry input-output efficiency in Beijing from 1993 to 2013. The results show that the comprehensive efficiency of forestry input and output in Beijing is relatively high from 1993 to 2013. The average value of comprehensive efficiency is 0.966 in 21 years. As for the change of comprehensive efficiency of forestry input and output, the condition of forestry input-output in Beijing is good since 1993, and its efficiency is generally stable with small fluctuations. In the 21 years, 14 are in a state of DEA efficiency, and 7 in the state of DEA inefficiency. We also analyzed the main factors affecting the forestry input-output efficiency in Beijing, and point out that the change of the forestry investment in fixed assets is presently the main factor while the proportion of forestry industrial structure has little impact. In addition, factors like forestry investment management and production management also have an impact on the production efficiency. We propose that forestry investment in fixed assets in Beijing should keep stability in the future development and the industrial structure for forestry should be adjusted. Furthermore, the level of forestry investment and production management should be raised gradually and constantly in Beijing. Our study may bring important meanings to promote the coordinated development of forestry ecological economy, and improve the forestry input-output efficiency and forestry sustainable development in Beijing.
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  • [1]
    国家林业局. 中国林业统计年鉴(2013)[M].北京:中国林业出版社,2014:46-48.
    [1]
    State Forestry Administration, P.R.China. China forestry statistical yearbook (2013) [M]. Beijing: China Forestry Publishing House, 2014: 46-48.
    [2]
    LKEWILLE A, BREDEMEIER M, ULRICH B. Input-output relations of major ions in European forest ecosystems [J]. Agriculture, Ecosystems Environment, 1993, 47(2):175-184.
    [2]
    CHANG J F, PAN J P. Thinking about forestry input [J]. Forestry Construction, 2001(1):2-4.
    [3]
    HUSSAIN A. Inter-industry linkages, resource use and structural change: an input/output analysis of Minnesotas forest-based industries [D].Twin Cities: University of Minnesota, 1996: 22-48.
    [3]
    XU W L. Study on the efficiency of China’s forestry input-output and policy[D]. Hefei: Anhui University, 2013.
    [4]
    L J F, JIN S, LIU J C, et al. A review on forestry input-output analysis [J]. Issues of Forestry Economics , 2006, 26 (2):129-132.
    [4]
    HAMILTON C. The sustainability of logging in Indonesias tropical forests: a dynamic input-output analysis [J]. Ecological Economics, 1997, 21(3):183-195.
    [5]
    CARLEN O, MATTEEON L, ATLEGRIM O, et al. Cost efficiency in pursuing environmental objectives in forestry[J]. Journal of Environmental Management, 1999, 55:111-125.
    [5]
    CHEN T Y, QIU D H, HUANG S D. Input and output model and its application in forestry organizations[J]. Journal of Fujian College of Forestry, 1993,13 (1):53-59.
    [6]
    LAI Z Q, ZHANG Z H. The DEA analysis of Guangdong forestry input-output efficiency [J]. Issues of Forestry Economics, 2008, 28(4):323-326.
    [6]
    CLINCHU P J. Assessing the social efficiency of temperate-zone commercial forestry programmes, Ireland as a case study [J]. Forest Policy and Economics, 2000, 17(7):225-241.
    [7]
    LEE J Y. Using DEA to measure efficiency in forest and paper companies [J]. Forest Products Society, 2005, 55(1):58-66.
    [7]
    TIAN S Y, XU W L. Evaluation of China’s forestry input-output efficiency based on DEA modeling[J]. Resources Science, 2012, 34(10): 1944-1950.
    [8]
    常继锋,潘家坪.对林业投入的思考[J].林业建设,2001(1):2-4.
    [8]
    DENG Y H, NING Y L, ZHAO R, et al. Comparative analysis of the Sino-US forestry investment [J]. Forest Resources Management, 2013(5): 41-46.
    [9]
    TIAN S Y,ZHANG C,XU W L. On the assessment of Anhui forestry input-output ratio based on the super-ratio model DEA[J]. Journal of Hefei University (Social Sciences), 2013,30(2):111-115.
    [9]
    许文立. 中国林业投入产出的效率与政策研究[D].合肥:安徽大学,2013.
    [10]
    吕金飞,金笙,刘俊昌,等.林业投入产出分析综述[J].林业经济问题, 2006, 26 (2):129-132.
    [10]
    MI F, LIU Z D, LI Z W, et al. The analysis of Gansu Province forestry input and output efficiency and every index’s influence: empirical study based on DEA model [J]. Forestry Economics, 2013, 21(12):100-104.
    [11]
    陈同英,邱登鸿,黄世典.林业系统投入产出模型及其应用[J].福建林学院学报,1993,13 (1):53-59.
    [11]
    WEI Q L. Evaluate the relative effectiveness of DEA method [M]. Beijing: China Renmin University Press, 1998.
    [12]
    LI M J, CHEN G H. A review on the research and application of DEA [J]. Engineering Sciences, 2003, 5(6):88-94.
    [12]
    赖作卿,张忠海. 基于DEA方法的广东林业投入产出效率分析[J].林业经济问题,2008, 28(4):323-326.
    [13]
    田淑英,许文立.基于DEA模型的中国林业投入产出效率评价[J].资源科学,2012, 34(10):1944-1950.
    [13]
    State Forestry Administration, P.R.CHINA. China forestry statistical yearbook(1993-2013)[EB/OL]. (2014-10-30)[2015-01-08]. http:∥www.forestry.gov.cn/main/243/content-714099.html.
    [14]
    邓永辉,宁攸凉,赵荣,等.中美政府林业投入产出效率比较[J].林业资源管理, 2013(5):41-46.
    [14]
    Beijing Statistics Bureau. Beijing statistical yearbook(1993-2013)[EB/OL].(2014-08-10)[2014-10-16]. http:∥www.bjstats.gov.cn.
    [15]
    田淑英,张琛,许文立. 安徽省林业投入产出效率评价:基于超效率DEA模型[J]. 合肥学院学报(社会科学版), 2013,30(2):111-115.
    [15]
    National Bureau of Statistics of China. Integrated system of statistics reports on agricultural output and prices[EB/OL]. (2014-01-05)[2014-12-16]. http:∥www.stats.gov.cn/tjsj/tjzd/gjtjzd/201501/t20150105_663501.html.
    [16]
    米锋,刘智丹,李卓蔚, 等.甘肃省林业投入产出效率及其各指标影响力分析:基于DEA模型的实证研究[J].林业经济,2013,21(12):100-104.
    [16]
    WEI Q L. The data envelopment analysis [M]. Beijing: Science Press, 2004:78-100.
    [17]
    MA Z X. The model and method of data envelopment analysis [M]. Beijing: Science Press, 2010.
    [17]
    魏权龄.评价相对有效性的DEA方法[M].北京:中国人民大学出版社,1998.
    [18]
    FARRELL M J. The measurement of productive efficiency [J]. Journal of the Royal Statistical Society A, 1957, 120: 125-281.
    [18]
    WU Y, GU M Y. The summary of DEA methods [J]. Value Engineering, 2003(Suppl.1):129-132.
    [19]
    李美娟,陈国宏.数据包络分析法(DEA)的研究与应用[J].中国工程科学,2003, 5(6):88-94.
    [19]
    WU F. The research on the assessment of the benefits from school-running and the cost inputs in higher education institutions [D] .Chongqing: Third Military Medical University,2007.
    [20]
    国家林业局.中国林业统计年鉴(1993—2013)[EB/OL]. (2014-10-30)[2015-01-08]. http:∥www.forestry.gov.cn/main/243/content-714099.html .
    [20]
    WU Y H, FAN Y C, SONG J W. Research about a general projection of DEA model [J]. Journal of Systems Engineering, 1996,11 (4):50-57.
    [21]
    LIU M. Forestry investment research [J]. Forestry Economics, 2011(4):43-49.
    [21]
    北京市统计局. 北京统计年鉴(1993—2013)[EB/OL].(2014-08-10)[2014-10-16]. http:∥www.bjstats.gov.cn.
    [22]
    国家统计局. 农业产值和价格综合统计报表制度[EB/OL]. (2014-01-05)[2014-12-16]. http:∥www.stats.gov.cn/tjsj/tjzd/gjtjzd/201501/t20150105_663501.html.
    [23]
    魏权龄. 数据包络分析[M]. 北京:科学出版社,2004:78-100.
    [24]
    马占新.数据包络分析模型与方法[M].北京:科学出版社,2010.
    [25]
    吴越,谷明玉.DEA分析方法研究综述[J].价值工程,2003(增刊1):129-132.
    [26]
    吴峰. 高等院校教育成本投入与办学效益DEA评价研究[D]. 重庆: 第三军医大学, 2007.
    [27]
    吴育华,范贻昌,宋继旺.DEA模型的一般投影研究[J].系统工程学报,1996, 11(4):50-57.
    [28]
    CHAPARRO P. SALINAS-JIMENEZ F J, SMITH P. On the quality of data envelopment analysis [J]. J of Operational Res Six, 1999, 50:636-644.
    [29]
    刘珉.林业投资研究[J].林业经济,2011(4):43-49.
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