Risk, poverty or politics? The determinants of subnational public spending allocation for adaptive disaster risk reduction in Bangladesh

被引:18
|
作者
Karim, Azreen [1 ]
Noy, Ilan [2 ]
机构
[1] Bangladesh Inst Dev Studies, Dhaka, Bangladesh
[2] Victoria Univ Wellington, Wellington, New Zealand
关键词
Subnational public spending; Natural disasters; Risk reduction; Adaptation; Asia; Bangladesh; SOCIAL SAFETY NETS; CLIMATE-CHANGE; ADAPTATION FINANCE; NATURAL DISASTERS; SATKHIRA DISTRICT; AID ALLOCATION; FOOD AID; ECONOMY; COUNTRIES; FLOOD;
D O I
10.1016/j.worlddev.2020.104901
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
We examine the directly observable determinants of sub-national (central to local) public spending allocations for disaster risk reduction and climate adaptation in Bangladesh, a country with a very high exposure to weather risk. We use a comprehensive dataset for the 483 sub-districts (Upazilas) in Bangladesh, tracking disaster risk reduction and adaptation funding provided to each sub-district by the central government during fiscal years' 2010-11 to 2013-14, disaggregated by the various types of social protection programs. We assess to what extent the primary determinants of such funding flows such as current hazard risk, socio-economic vulnerability, and political economy considerations contribute to these funding allocation decisions. We find that flood hazard risk and socio-economic vulnerability are both positively correlated with the sub-district fiscal allocations. We find that political factors do not seem to significantly correlate with these allocations and neither does proximity to the centres of Dhaka and Chittagong. Public spending for adaptive disaster risk reduction, as investigated here, can be a useful complementary intervention tool to other DRR programs, such as insurance or broader social transfers, provided that it is allocated rationally. Broadly, this appears to be the case in Bangladesh. We leave the measuring of the relative efficacy and efficiency of each financing tool for future work. (C) 2020 Elsevier Ltd. All rights reserved.
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页数:13
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