Large scale water-management infrastructure in Central and South Asia - to what extent have policies been based on flawed or incomplete economic analy
Large scale water-management infrastructure in Central and South Asia - to what extent have policies been based on flawed or incomplete economic analy
批准号:
1947519
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
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英文摘要
To address today's freshwater challenge, governments are investing in large-scale infrastructure projects. Historically this has resulted in environmentalissues. In the 1960s the Aral Sea was drained for irrigation, undermining public health, the fishing industry and the environment. In the WesternHimalayas of India, Nepal and Bhutan, investments have sometimes been made in piped rather than traditional spring-fed systems, with potentiallynegative environmental consequences. In both cases plans to divert water was based on economic analyses. In the first case, a cost-benefit analysiswas undermined by omitting economic impacts on the environment. In the second case, cost-effectiveness was assessed, but often for just oneengineering option. Understanding the environmental economics behind water-management decisions taken under a spectrum of political regimes(authoritarian/democratic) will be critical to constructive engagement with governments on environmental issues. Subsequent insights from econometricanalysis and data collection on past projects can inform current plans, e.g. India's plan to divert the Ganges and Brahmaputra rivers. I will research theextent to which large-scale water management plans in Central and South Asia has been based on flawed economic analyses and if excludingenvironmental concerns has led to unexpected economic losses. I will also address how to best engage decision-makers in different political regimes(authoritarian and democratic).
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Book review: Water, Technology and the Nation-State
书评:水、技术和民族国家
DOI:
10.1177/0042098018820179
发表时间:
2019
期刊:
Urban Studies
影响因子:
4.7
作者:
[Goodman L]
通讯作者:
Goodman L
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