PROGRESS IN GEOGRAPHY ›› 2017, Vol. 36 ›› Issue (2): 256-263.doi: 10.18306/dlkxjz.2017.02.011
• Reviews • Previous Articles
Ning LI1,2,3,*(), Zhengtao ZHANG1,3, Xi CHEN1,3, Jieling FENG1,3
Online:
2017-02-20
Published:
2017-02-20
Contact:
Ning LI
E-mail:ningli@bnu.edu.cn
Supported by:
Ning LI, Zhengtao ZHANG, Xi CHEN, Jieling FENG. Importance of economic loss evaluation in natural hazard and disaster research[J].PROGRESS IN GEOGRAPHY, 2017, 36(2): 256-263.
Tab.1
Loss assessment categories of the Ministry of Civil Affairs for direct economic losses caused by disasters"
损失类别 | 损失部门 |
---|---|
农业损失 | 种植业、林业、畜牧业、渔业的直接经济损失 |
工矿企业损失 | 采矿、制造、建筑、商业等企业的直接经济损失 |
基础设施损失 | 交通、电力、水利、通信、市政等公共设施的直接经济损失 |
公益设施损失 | 教育、卫生、科研、文化、体育、社会保障和社会福利等公益设施的直接经济损失 |
家庭财产损失 | 居民住房及其室内附属设备、室内财产、农机具、运输工具、牲畜等的直接经济损失 |
[1] | 曹玮, 肖皓. 2012. 基于CGE模型的极端冰雪灾害经济损失评估[J]. 自然灾害学报, 21(5): 191-196. |
[Cao W, Xiao H.2012. Assessment of economic losses of extreme ice/snow disasters based on CGE model[J]. Journal of Natural Disaster, 21(5): 191-196.] | |
[2] | 《第三次气候变化国家评估报告》编写委员会. 2015. 第三次气候变化国家评估报告[M]. 北京: 科学出版社. |
[Compilation committee of the third national climate change assessment report. 2015. Disanci qihou bianhua guojia pinggu baugao [M]. Beijing, China: Science Press.] | |
[3] |
丁志雄, 胡亚林, 李纪人. 2005. 基于空间信息格网的洪灾损失评估模型及其应用[J]. 水利水电技术, 36(6): 93-96.
doi: 10.3969/j.issn.1000-0860.2005.06.029 |
[Ding Z X, Hu Y L, Li J R.2005. Model for loss assessment of flood disaster based on spatial information grid[J]. Water Resources and Hydropower Engineering, 36(6): 93-96.]
doi: 10.3969/j.issn.1000-0860.2005.06.029 |
|
[4] |
李宁, 王烨, 张正涛. 2016. 从科技论文数量和内容看自然灾害风险度评估方法的转变[J]. 灾害学, 31(3): 8-14.
doi: 10.3969/j.issn.1000-811X.2016.03.002 |
[Li N, Wang Y, Zhang Z T.2016. Transformation of natural disaster risk assessment method based on number and content of scientific papers[J]. Journal of Catastrophology, 31(3): 8-14.]
doi: 10.3969/j.issn.1000-811X.2016.03.002 |
|
[5] | 李宁, 吴吉东, 崔维佳. 2012. 基于ARIO模型的汶川地震灾后恢复重建期模拟[J]. 自然灾害学报, 21(2): 68-75. |
[Li N, Wu J D, Cui W J.2012. Simulation of post-disaster recovery and reconstruction period of Wenchuan earthquake based on adaptive regional input-output model[J]. Journal of Natural Disasters, 21(2): 68-75.] | |
[6] |
刘希林, 赵源. 2008. 地貌灾害间接经济损失评估: 以泥石流灾害为例[J]. 地理科学进展, 27(3): 7-12.
doi: 10.11820/dlkxjz.2008.03.002 |
[Liu X L, Zhao Y.2008. Estimation on indirect economic losses of geomorphic hazards: Taking debris flow as an example[J]. Progress in Geography, 27(3): 7-12.]
doi: 10.11820/dlkxjz.2008.03.002 |
|
[7] |
路琮, 魏一鸣, 范英, 等. 2002. 灾害对国民经济影响的定量分析模型及其应用[J]. 自然灾害学报, 11(3): 15-20.
doi: 10.3969/j.issn.1004-4574.2002.03.003 |
[Lu Z, Wei Y M, Fan Y, et al.2002. Quantitatively analytic model for the impact of natural disaster on national economy[J]. Journal of Natural Disasters, 11(3): 15-20.]
doi: 10.3969/j.issn.1004-4574.2002.03.003 |
|
[8] | 民政部, 国家统计局. 2013. 特别重大自然灾害损失统计制度[EB/OL]. (2014-05-09) [2014-08-26]. . |
[Ministry of Civil Affairs, the National Bureau of Statistics. 2013. Tebie zhongda ziran zaihai sunshi tongji zhidu[EB/OL]. (2014-05-09) [2014-08-26]. .] | |
[9] |
秦大河, Stocker T, 259名作者和TSU(驻伯尔尼和北京). 2014. IPCC第五次评估报告第一工作组报告的亮点结论[J]. 气候变化研究进展, 10(1): 1-6.
doi: 10.3969/j.issn.1673-1719.2014.01.001 |
[Qin D H, Stocker T, 259 Authors and TSU (Bern & Beijing). 2014. Highlights of the IPCC working group I fifth assessment report[J]. Progressus Inquisitiones de Mutatione Climatis, 10(1): 1-6.]
doi: 10.3969/j.issn.1673-1719.2014.01.001 |
|
[10] | 单豪杰. 2008. 中国资本存量K的再估算: 1952-2006年[J]. 数量经济技术经济研究, (10): 17-31. |
[Shan H J.2008. Reestimating the capital stock of China: 1952-2006[J]. The Journal of Quantitative & Technical Economics, (10): 17-31.] | |
[11] |
史培军, 袁艺. 2014. 重特大自然灾害综合评估[J]. 地理科学进展, 33(9): 1145-1151.
doi: 10.11820/dlkxjz.2014.09.001 |
[Shi P J, Yuan Y.2014. Integrated assessment of large-scale natural disasters in China[J]. Progress in Geography, 33(9): 1145-1151.]
doi: 10.11820/dlkxjz.2014.09.001 |
|
[12] | 吴吉东, 李宁. 2012. 浅析灾害间接经济损失评估的重要性[J]. 自然灾害学报, 21(3): 15-21. |
[Wu J D, Li N.2012. Elementary discussion about importance of indirect economic loss estimation of disasters[J]. Journal of Natural Disasters, 21(3): 15-21.] | |
[13] |
吴吉东, 李宁, 温玉婷, 等. 2009. 自然灾害的影响及间接经济损失评估方法[J]. 地理科学进展, 28(6): 877-885.
doi: 10.11820/dlkxjz.2009.06.007 |
[Wu J D, Li N, Wen Y T, et al.2009. Economic impact of natural disaster and indirect economic loss estimation methods[J]. Progress in Geography, 28(6): 877-885.]
doi: 10.11820/dlkxjz.2009.06.007 |
|
[14] |
吴先华, 徐中兵, 袁迎蕾, 等. 2014. 台风灾害的关联经济损失评估: 以江苏省为例[J]. 灾害学, 29(2): 77-83.
doi: 10.3969/j.issn.1000-811X.2014.02.017 |
[Wu X H, Xu Z B, Yuan Y L, et al.2014. Relational economic loss assessment of typhoon disaster: A case study of Jiangsu Province[J]. Journal of Catastrophology, 29(2): 77-83.]
doi: 10.3969/j.issn.1000-811X.2014.02.017 |
|
[15] |
解伟, 李宁, 胡爱军, 等. 2012. 基于CGE模型的环境灾害经济影响评估: 以湖南雪灾为例[J]. 中国人口资源与环境, 22(11): 26-31.
doi: 10.3969/j.issn.1002-2104.2012.11.005 |
[Xie W, Li N, Hu A J, et al.2012. Assessing the economic impact of environmental disaster: A computable general equilibrium analysis[J]. China Population, Resources and Environment, 22(11): 26-31.]
doi: 10.3969/j.issn.1002-2104.2012.11.005 |
|
[16] |
袁艺. 2010. 自然灾害灾情评估研究与实践进展[J]. 地球科学进展, 25(1): 22-32.
doi: 10.11867/j.issn.1001-8166.2010.01.0022 |
[Yuan Y.2010. Advances in the assessment of natural disaster situation[J]. Advances in Earth Science, 25(1): 22-32.]
doi: 10.11867/j.issn.1001-8166.2010.01.0022 |
|
[17] | 张鹏, 李宁, 刘雪琴, 等. 2012. 基于投入产出模型的洪涝灾害间接经济损失定量分析[J]. 北京师范大学学报: 自然科学版, 48(4): 425-431. |
[Zhang P, Li N, Liu X Q, et al.2012. Quantitative analysis of indirect economic loss to flood disaster based on an input-output model[J]. Journal of Beijing Normal University: Natural Science, 48(4): 425-431.] | |
[18] | 张显东, 梅广清. 1999. 二要素多部门CGE模型的灾害经济研究[J]. 自然灾害学报, 8(1): 9-15. |
[Zhang X D, Mei G Q.1999. The CGE model on economic impact of natural disasters[J]. Journal of Natural Disasters, 8(1): 9-15.] | |
[19] | 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 2012. GB/T 27932-2011 地震灾害间接经济损失评估方法[S]. 北京: 中国标准出版社. |
[General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. 2012. GB/T 27932-2011 Assessment methods of earthquake-caused indirect economic loss. Beijing, China: China Standard Press.] | |
[20] | Economic Commission for Latin America and the Caribbean (ECLAC). 2003. Handbook for estimating the socio-economic and environment effects of disasters[M]. Mexico City, Mexico: ECLAC.. |
[21] | Federal Emergency Management Agency (FEMA). 2011. Hazus-MH-MR5 technical manual[M]. Washington D C: Department of Homeland Security. |
[22] |
Greenberg M, Haas C, Cox A Jr, et al.2012. Ten most important accomplishments in risk analysis, 1980-2010[J]. Risk Analysis, 32(5): 771-781.
doi: 10.1111/j.1539-6924.2012.01817.x pmid: 22548638 |
[23] |
Hallegatte S.2008. An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina[J]. Risk Analysis, 28(3): 779-799.
doi: 10.1111/j.1539-6924.2008.01046.x pmid: 18643833 |
[24] | Hallegatte S.2015. The indirect cost of natural disasters and an economic definition of macroeconomic resilience[R]. World Bank Policy Research Working Paper, 151(1): 155-160. |
[25] | Intergovernmental Panel on Climate Change. 2014. Climate change 2014-impacts, adaptation and vulnerability. Part A: global and sectoral aspects: Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change[R]. New York, USA: Cambridge University Press. |
[26] |
Kleist L, Tehieken A H, Köhler P, et al.2006. Estimation of the regional stock of residential buildings as a basis for a comparative risk assessment in Germany[J]. Natural Hazards and Earth System Science, 6(4): 541-552.
doi: 10.5194/nhess-6-541-2006 |
[27] |
Rose A, Liao S Y.2005. Modeling regional economic resilience to disasters: A computable general equilibrium analysis of water service disruptions[J]. Journal of Regional Science, 45(1): 75-112.
doi: 10.1111/j.0022-4146.2005.00365.x |
[28] |
te Linde A H, Bubeck P, Dekkers J E C, et al.2011. Future flood risk estimates along the river Rhine[J]. Natural Hazards and Earth System Science, 11(2): 459-473.
doi: 10.5194/nhess-11-459-2011 |
[29] | United Nations Office for Disaster Risk Reduction (UNISDR). 2013. Global assessment report on disaster risk reduction[R/OL]. 2013[2017-02-01]. . |
[30] | World Meteorological Organization (WMO). 2014. Weather and climate: Engaging youth[J]. World Meteorological Organization Bulletin, 63(1):10-14. |
[31] |
Wu J D, Li N, Hallegatte S, et al.2012. Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake[J]. Environmental Earth Sciences, 65(1): 161-172.
doi: 10.1007/s12665-011-1078-9 |
[32] |
Xie W, Li N, Wu J D, et al.2015. Disaster risk decision: A dynamic computable general equilibrium analysis of regional mitigation investment[J]. Human and Ecological Risk Assessment: An International Journal, 21(1): 81-99.
doi: 10.1080/10807039.2013.871997 |
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