IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v319y2022i1d10.1007_s10479-020-03660-2.html
   My bibliography  Save this article

Influencing factors and efficiency of funds in humanitarian supply chains: the case of Chinese rural minimum living security funds

Author

Listed:
  • Jiandong Chen

    (Southwestern University of Finance and Economics)

  • Ping Wang

    (Southwestern University of Finance and Economics)

  • Jixian Zhou

    (Southwestern University of Finance and Economics)

  • Malin Song

    (Anhui University of Finance and Economics)

  • Xinyue Zhang

    (Southwestern University of Finance and Economics)

Abstract

While humanitarian efforts are critical for assisting those affected by natural disasters, it is also essential for those affected by poverty, such as China’s rural poor. In this regard, China introduced the rural minimum living security system to provide humanitarian relief to its rural poor. The aim of this study is to explore the influencing factors and efficiency of humanitarian supply chains funds using rural minimum living security funds (RMLSF) as an example. Based on data from 31 provinces (autonomous regions and municipalities) in China from 2007 to 2016, this study employs the logarithmic mean Divisia index approach to decompose the RMLSF and investigates the contributions of seven factors on the change therein. This study also uses the three-stage data envelopment analysis method to assess the poverty reduction efficiency of RMLSF. The results show that the economic development level, the extent to which minimum living security funds are tilted toward rural areas, and the fiscal expenditure scale are the three main factors for the increase in RMLSF. Moreover, the technical efficiency in most provinces and the average technical efficiency in the eastern and central regions are underestimated due to external ambient factors, whereas the average technical efficiency in the western region is overestimated. These results provide a basis for increasing the scale and efficiency of RMLSF.

Suggested Citation

  • Jiandong Chen & Ping Wang & Jixian Zhou & Malin Song & Xinyue Zhang, 2022. "Influencing factors and efficiency of funds in humanitarian supply chains: the case of Chinese rural minimum living security funds," Annals of Operations Research, Springer, vol. 319(1), pages 413-438, December.
    • Handle: RePEc:spr:annopr:v:319:y:2022:i:1:d:10.1007_s10479-020-03660-2
    DOI: 10.1007/s10479-020-03660-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-020-03660-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-020-03660-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lili DING & Haihong ZHENG & Wanglin KANG, 2017. "Measuring the Green Efficiency of Ocean Economy in China: An Improved Three - Stage DEA Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-22, March.
    2. Jimoh Eniola Olaogbebikan & Richard Oloruntoba, 2019. "Similarities between disaster supply chains and commercial supply chains: a SCM process view," Annals of Operations Research, Springer, vol. 283(1), pages 517-542, December.
    3. Qian, Yingyi & Roland, Gerard, 1998. "Federalism and the Soft Budget Constraint," American Economic Review, American Economic Association, vol. 88(5), pages 1143-1162, December.
    4. Yang, Xue & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Zou, Yafeng, 2016. "Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China," Applied Energy, Elsevier, vol. 184(C), pages 714-726.
    5. Gustafsson, Björn & LI, Shi & Sato, Hiroshi, 2014. "Data for studying earnings, the distribution of household income and poverty in China," China Economic Review, Elsevier, vol. 30(C), pages 419-431.
    6. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    7. Shantanu Bhattacharya & Sameer Hasija & Luk N. Van Wassenhove, 2014. "Designing Efficient Infrastructural Investment and Asset Transfer Mechanisms in Humanitarian Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 23(9), pages 1511-1521, September.
    8. Gyongyi Kovacs & Karen M. Spens, 2010. "Knowledge sharing in relief supply chains," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 7(2/3), pages 222-239.
    9. Ravallion, Martin & Chen, Shaohua, 2015. "Benefit incidence with incentive effects, measurement errors and latent heterogeneity: A case study for China," Journal of Public Economics, Elsevier, vol. 128(C), pages 124-132.
    10. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    11. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    12. Serhan Duran & Özlem Ergun & Pınar Keskinocak & Julie L. Swann, 2013. "Humanitarian Logistics: Advanced Purchasing and Pre-Positioning of Relief Items," International Series in Operations Research & Management Science, in: James H. Bookbinder (ed.), Handbook of Global Logistics, edition 127, chapter 0, pages 447-462, Springer.
    13. Golan,Jennifer & Sicular,Terry & Umapathi,Nithin, 2015. "Unconditional cash transfers in China : an analysis of the rural minimum living standard guarantee program," Policy Research Working Paper Series 7374, The World Bank.
    14. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    15. Kakwani, Nanak & Li, Shi & Wang, Xiaobing & Zhu, Mengbing, 2019. "Evaluating the effectiveness of the rural minimum living standard guarantee (Dibao) program in China," China Economic Review, Elsevier, vol. 53(C), pages 1-14.
    16. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    17. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    18. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    19. Zhong, Hai, 2011. "The impact of population aging on income inequality in developing countries: Evidence from rural China," China Economic Review, Elsevier, vol. 22(1), pages 98-107, March.
    20. Alessandra Cozzolino, 2012. "Humanitarian Logistics," SpringerBriefs in Business, Springer, edition 127, number 978-3-642-30186-5, October.
    21. Balcik, Burcu & Beamon, Benita M. & Krejci, Caroline C. & Muramatsu, Kyle M. & Ramirez, Magaly, 2010. "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, Elsevier, vol. 126(1), pages 22-34, July.
    22. Blejer, Mario I & Guerrero, Isabel, 1990. "The Impact of Macroeconomic Policies on Income Distribution: An Empirical Study of the Philippines," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 414-423, August.
    23. Wu, Alfred M. & Ramesh, M., 2014. "Poverty Reduction in Urban China: The Impact of Cash Transfers," MPRA Paper 54358, University Library of Munich, Germany.
    24. Gao, Qin & Zhai, Fuhua & Yang, Sui & Li, Shi, 2014. "Does Welfare Enable Family Expenditures on Human Capital? Evidence from China," World Development, Elsevier, vol. 64(C), pages 219-231.
    25. Gao, Qin & Yang, Sui & Li, Shi, 2015. "Welfare, targeting, and anti-poverty effectiveness: The case of urban China," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 30-42.
    26. Golan, Jennifer & Sicular, Terry & Umapathi, Nithin, 2017. "Unconditional Cash Transfers in China: Who Benefits from the Rural Minimum Living Standard Guarantee (Dibao) Program?," World Development, Elsevier, vol. 93(C), pages 316-336.
    27. Jamal Ouenniche & Skarleth Carrales, 2018. "Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback," Annals of Operations Research, Springer, vol. 266(1), pages 551-587, July.
    28. Yao, Shujie & Zhang, Zongyi & Hanmer, Lucia, 2004. "Growing inequality and poverty in China," China Economic Review, Elsevier, vol. 15(2), pages 145-163.
    29. Geranda Notten, 2016. "How Poverty Indicators Confound Poverty Reduction Evaluations: The Targeting Performance of Income Transfers in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1039-1056, July.
    30. Rameshwar Dubey & Sadia Samar Ali & Padmanabha Aital & V.G. Venkatesh, 2014. "Mechanics of humanitarian supply chain agility and resilience and its empirical validation," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 17(4), pages 367-384.
    31. Gao, Qin & Zhai, Fuhua & Garfinkel, Irwin, 2010. "How Does Public Assistance Affect Family Expenditures? The Case of Urban China," World Development, Elsevier, vol. 38(7), pages 989-1000, July.
    32. Hussam Musa & Viacheslav Natorin & Zdenka Musova & Pavol Durana, 2020. "Comparison of the efficiency measurement of the conventional and Islamic banks," Oeconomia Copernicana, Institute of Economic Research, vol. 11(1), pages 29-58, March.
    33. Charbel José Chiappetta Jabbour & Vinicius Amorim Sobreiro & Ana Beatriz Lopes de Sousa Jabbour & Lucila Maria Souza Campos & Enzo Barberio Mariano & Douglas William Scott Renwick, 2019. "An analysis of the literature on humanitarian logistics and supply chain management: paving the way for future studies," Annals of Operations Research, Springer, vol. 283(1), pages 289-307, December.
    34. Alessandra Cozzolino, 2012. "Humanitarian Logistics and Supply Chain Management," SpringerBriefs in Business, in: Humanitarian Logistics, edition 127, chapter 0, pages 5-16, Springer.
    35. Bjorn A Gustafsson & Deng Quheng, 2011. "Di Bao Receipt and Its Importance for Combating Poverty in Urban China," Poverty & Public Policy, John Wiley & Sons, vol. 3(1), pages 1-32, March.
    36. Paul J. Gertler & Sebastian W. Martinez & Marta Rubio-Codina, 2012. "Investing Cash Transfers to Raise Long-Term Living Standards," American Economic Journal: Applied Economics, American Economic Association, vol. 4(1), pages 164-192, January.
    37. Sukho Jin & Sukjae Jeong & Jangyeop Kim & Kyungsup Kim, 2015. "A logistics model for the transport of disaster victims with various injuries and survival probabilities," Annals of Operations Research, Springer, vol. 230(1), pages 17-33, July.
    38. Rameshwar Dubey & Nezih Altay & Constantin Blome, 2019. "Swift trust and commitment: The missing links for humanitarian supply chain coordination?," Annals of Operations Research, Springer, vol. 283(1), pages 159-177, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    2. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    3. Han, Huawei & Gao, Qin, 2019. "Community-based welfare targeting and political elite capture: Evidence from rural China," World Development, Elsevier, vol. 115(C), pages 145-159.
    4. Charbel José Chiappetta Jabbour & Vinicius Amorim Sobreiro & Ana Beatriz Lopes de Sousa Jabbour & Lucila Maria Souza Campos & Enzo Barberio Mariano & Douglas William Scott Renwick, 2019. "An analysis of the literature on humanitarian logistics and supply chain management: paving the way for future studies," Annals of Operations Research, Springer, vol. 283(1), pages 289-307, December.
    5. Pravin Kumar & Rajesh Kr Singh, 2022. "Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach," Annals of Operations Research, Springer, vol. 319(1), pages 379-411, December.
    6. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    7. Fan Chen & Sen Liu & Andrea Appolloni, 2020. "Horizontal Coordination of I-LNGOs in the Humanitarian Supply Chain: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    8. Lijo John & Anand Gurumurthy & Arqum Mateen & Gopalakrishnan Narayanamurthy, 2022. "Improving the coordination in the humanitarian supply chain: exploring the role of options contract," Annals of Operations Research, Springer, vol. 319(1), pages 15-40, December.
    9. Zhonghao Zhang & Shimeng Sun & Wanzhen Chen & Xuesong He, 2023. "Spatiotemporal patterns in China's Minimal Living allowances: The urban‐rural gap and regional differences revealed through a national poverty alleviation program," Growth and Change, Wiley Blackwell, vol. 54(1), pages 214-233, March.
    10. Qin Gao & Fuhua Zhai, 2017. "Public Assistance, Economic Prospect, and Happiness in Urban China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 451-473, May.
    11. Golan, Jennifer & Sicular, Terry & Umapathi, Nithin, 2017. "Unconditional Cash Transfers in China: Who Benefits from the Rural Minimum Living Standard Guarantee (Dibao) Program?," World Development, Elsevier, vol. 93(C), pages 316-336.
    12. Hasti Seraji & Reza Tavakkoli-Moghaddam & Sobhan Asian & Harpreet Kaur, 2022. "An integrative location-allocation model for humanitarian logistics with distributive injustice and dissatisfaction under uncertainty," Annals of Operations Research, Springer, vol. 319(1), pages 211-257, December.
    13. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods," Annals of Operations Research, Springer, vol. 319(1), pages 885-910, December.
    14. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    15. Christian Wankmüller & Gerald Reiner, 2020. "Coordination, cooperation and collaboration in relief supply chain management," Journal of Business Economics, Springer, vol. 90(2), pages 239-276, March.
    16. Abhinav Kumar & Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana, 2022. "A deep multi-modal neural network for informative Twitter content classification during emergencies," Annals of Operations Research, Springer, vol. 319(1), pages 791-822, December.
    17. Peiyu Zhang & Yankui Liu & Guoqing Yang & Guoqing Zhang, 2022. "A multi-objective distributionally robust model for sustainable last mile relief network design problem," Annals of Operations Research, Springer, vol. 309(2), pages 689-730, February.
    18. Samuel Fosso Wamba, 2022. "Humanitarian supply chain: a bibliometric analysis and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 937-963, December.
    19. Huawei Han & Qin Gao, 2020. "Does Welfare Participation Improve Life Satisfaction? Evidence from Panel Data in Rural China," Journal of Happiness Studies, Springer, vol. 21(5), pages 1795-1822, June.
    20. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:319:y:2022:i:1:d:10.1007_s10479-020-03660-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.