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Article: Critical assessment indicators for measuring benefits of rural infrastructure investment in China
Title | Critical assessment indicators for measuring benefits of rural infrastructure investment in China | ||||
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Authors | |||||
Keywords | Business practitioners China Critical assessment Data sets Development strategies | ||||
Issue Date | 2011 | ||||
Publisher | American Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/is.html | ||||
Citation | Journal of Infrastructure Systems, 2011, v. 71 n. 4, p. 176-183 How to Cite? | ||||
Abstract | Rural infrastructure is of vital importance for agricultural growth, economic development, and poverty alleviation, particularly in developing countries such as China. In line with the implementation of a Coordinated Urban-Rural Development Strategy, infrastructure investment in China has consciously been tilted to rural areas. An urgent need exists to assess whether the investment has induced the benefits as expected. Existing research on rural infrastructure investment assessment focuses primarily on economic return while neglecting its social and ecological benefits. This paper identifies a set of critical assessment indicators (CAIs) that can be used to evaluate the multifaceted benefits of rural infrastructure investment in China. Research data were collected through a questionnaire survey given to three groups of experts, including government officers, professionals, and business practitioners who are working in China's housing and urban-rural development sector. Monte Carlo simulation (MCS) is used to generate additional data to supplement the data set from the questionnaire survey. The fuzzy set theory, which appreciates the fuzziness of data from the questionnaire survey, is used in the selection of CAIs. The CAIs can help the local governments in China to make better decisions in investing in rural infrastructure. These critical indicators can also be generalized to provide valuable references for the investigations of rural infrastructure investment in other developing countries. © 2011 American Society of Civil Engineers. | ||||
Persistent Identifier | http://hdl.handle.net/10722/125360 | ||||
ISSN | 2023 Impact Factor: 2.0 2023 SCImago Journal Rankings: 0.584 | ||||
ISI Accession Number ID |
Funding Information: This research was funded by the research grants provided by the Hong Kong Polytechnic University. | ||||
References |
DC Field | Value | Language |
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dc.contributor.author | Shen, L | en_HK |
dc.contributor.author | Lu, W | en_HK |
dc.contributor.author | Peng, Y | en_HK |
dc.contributor.author | Jiang, S | en_HK |
dc.date.accessioned | 2010-10-31T11:26:45Z | - |
dc.date.available | 2010-10-31T11:26:45Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Journal of Infrastructure Systems, 2011, v. 71 n. 4, p. 176-183 | en_HK |
dc.identifier.issn | 1076-0342 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/125360 | - |
dc.description.abstract | Rural infrastructure is of vital importance for agricultural growth, economic development, and poverty alleviation, particularly in developing countries such as China. In line with the implementation of a Coordinated Urban-Rural Development Strategy, infrastructure investment in China has consciously been tilted to rural areas. An urgent need exists to assess whether the investment has induced the benefits as expected. Existing research on rural infrastructure investment assessment focuses primarily on economic return while neglecting its social and ecological benefits. This paper identifies a set of critical assessment indicators (CAIs) that can be used to evaluate the multifaceted benefits of rural infrastructure investment in China. Research data were collected through a questionnaire survey given to three groups of experts, including government officers, professionals, and business practitioners who are working in China's housing and urban-rural development sector. Monte Carlo simulation (MCS) is used to generate additional data to supplement the data set from the questionnaire survey. The fuzzy set theory, which appreciates the fuzziness of data from the questionnaire survey, is used in the selection of CAIs. The CAIs can help the local governments in China to make better decisions in investing in rural infrastructure. These critical indicators can also be generalized to provide valuable references for the investigations of rural infrastructure investment in other developing countries. © 2011 American Society of Civil Engineers. | en_HK |
dc.language | eng | en_HK |
dc.publisher | American Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/is.html | en_HK |
dc.relation.ispartof | Journal of Infrastructure Systems | en_HK |
dc.rights | Journal of Infrastructure Systems. Copyright © American Society of Civil Engineers. | - |
dc.subject | Business practitioners | en_HK |
dc.subject | China | en_HK |
dc.subject | Critical assessment | en_HK |
dc.subject | Data sets | en_HK |
dc.subject | Development strategies | en_HK |
dc.title | Critical assessment indicators for measuring benefits of rural infrastructure investment in China | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Shen, L: bsshen@polyu.edu.hk | en_HK |
dc.identifier.email | Lu, W: wilsonlu@hku.hk | - |
dc.identifier.email | Peng, Y: pengyihz@gmail.com | - |
dc.identifier.email | Jiang, S: cqaj@163.com | - |
dc.identifier.authority | Lu, W=rp01362 | en_HK |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1061/(ASCE)IS.1943-555X.0000066 | en_HK |
dc.identifier.scopus | eid_2-s2.0-84863407773 | en_HK |
dc.identifier.hkuros | 201847 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84863407773&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 71 | en_HK |
dc.identifier.issue | 4 | en_HK |
dc.identifier.spage | 176 | en_HK |
dc.identifier.epage | 183 | en_HK |
dc.identifier.isi | WOS:000299132200004 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Jiang, S=36619481200 | en_HK |
dc.identifier.scopusauthorid | Peng, Y=36022039700 | en_HK |
dc.identifier.scopusauthorid | Lu, W=24173836000 | en_HK |
dc.identifier.scopusauthorid | Shen, L=7401704702 | en_HK |
dc.identifier.issnl | 1076-0342 | - |