Special Forum

Institutional Environment and Sustainable Natural Resource Utilization

  • College of Public Administration, Zhejiang University, Hangzhou 310029, China

Received date: 2009-11-19

  Revised date: 2010-05-11

  Online published: 2010-07-10


Seeking sustainable natural resource use and accelerating sustainable economic growth is one of the main tasks for Chinese government in its coming "12th Five-Year Plan" for national economy. Thus, how to find a way to achieve the goal is quite important for the policy makers. In order to provide some scientific evidence for policy recommendations, this paper tries to assess different performance levels of sustainable resource use among different economies due to the different institutional settings through a comparison of two indicators based on the data sets from 12 countries and regions including China. The two indicators are the Adjusted Net Savings (ANS) and Aggregate Governance Indicators (AGI) surveyed and published by the World Bank. The statistic analysis findings are that better institutional settings lead to better performance of sustainable resource use and economic growth. After that, the paper further sets up an econometric model to verify the findings, i.e., good institutional environment is a positive driving factor for sustainable natural resource use, in which the model eliminates the reverse causality of the two factors by using the two stages linear regression method and GLS method for panel data. The result of the regression verifies that there is a significant effect of institutional environment on sustainable resource use, which provides the necessary evidence for the policy makers, i.e., one unit improvement of good institutional environment can lead to a 8.84 times increase of average value of economic growth and the net savings of the country. According to the findings, the paper concludes that because the current growth of Chinese economy falls into the scope of sustainable ones, and meanwhile there is the space for the improvement of institutional settings, the future Chinese economic growth could maintain sustainablility to a certain extent if the related institutional environment is continuously ameliorated.

Cite this article

TAN Rong . Institutional Environment and Sustainable Natural Resource Utilization[J]. JOURNAL OF NATURAL RESOURCES, 2010 , 25(7) : 1218 -1227 . DOI: 10.11849/zrzyxb.2010.07.017


[1] 杨文治. 黄土高原土壤水资源与植树造林[J]. 自然资源学报, 2001, 16(5): 433-438. [2] 于东升, 史学正. 我国土壤水分状况的估算[J]. 自然资源学报, 1998, 13(3): 227-233. [3] 王书功, 康尔泗, 李新. 分布式水文模型的进展及展望 [J]. 冰川冻土, 2004, 26(1): 61-65. [4] 万洪涛, 万庆, 周成虎. 流域水文模型研究的进展[J]. 地球信息科学, 2000, 2(4): 46-50. [5] 刘东生. 中国科学院院士论坛. http://www.casad.ac.cn/2005-3/2005323240471.htm.2005. [LIU Dong-sheng. The forum of academicians of Chinese Academy of Sciences, 2003. http://www.casad.cas.cn/yslt/200307/t20030718_43639.html.2005.] [6] 张济世, 康尔泗, 蓝永超, 等. 河西内陆河地表水与地下水转化关系及水资源利用率研究[J]. 冰川冻土, 2001, 23(4): 375-382. [7] 程国栋. 黑河流域可持续发展的生态经济学研究[J]. 冰川冻土, 2002, 24(4): 335-343. [8] 姚小英, 蒲金涌, 王澄海, 等. 甘肃黄土高原40a来土壤水分蒸散量变化特征[J]. 冰川冻土, 2007, 29(1): 126-130. [9] 成向荣, 黄明斌, 邵明安. 基于SHAW模型的黄土高原半干旱区农田土壤水分动态模拟[J]. 农业工程学报, 2007, 23(1): 1-7. [10] 张笑培, 杨改河, 胡江波, 等. 不同植被恢复模式对黄土高原丘陵沟壑区土壤水分生态效应的影响[J]. 自然资源学报, 2008, 23(4): 635-642. [11] 吴险峰, 刘昌明. 流域水文模型研究的若干进展[J]. 地理科学进展, 2002, 21(4): 341-348. [12] Vrsmarty C J, Willmott C J, Choudhury B J, et al. Analyzing the discharge regime of a large tropical river through remote sensing, ground-based climatic data, and modeling [J]. Water Resources Research, 1996, 32(10): 3137-3150. [13] 游松财, 邸苏闯, 袁晔. 黄土高原地区土壤田间持水量计算[J]. 自然资源学报, 2009, 24(3): 545-552. [14] Houghton J T, Meira Filho L G, Callender B A, et al. Climate Change 1995: The Science of Climate Change [M]. Cambridge University Press, UK. 572. [15] 刘志红, Li Liangtao, Mcviacar T R, 等. 专用气候数据空间插值软件ANUSPLIN及应用[J]. 气象, 2008, 34(2): 97-105. [16] 谢贤群, 王菱. 中国北方近50 年潜在蒸发的变化[J]. 自然资源学报, 2007, 22(5): 683-691. [17] 史学正, 于东升. "数字土壤"——21世纪土壤学面临的机遇与挑战[J]. 土壤通报, 2000, 31(3): 104-106.