Findings from Agriculture Informatics Institute in Economics Reported (Health Insurance and Medical Impoverishment In Rural China: Evidence From Guizhou Province)

2019 JUN 20 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Economics have been published. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “We analyze the effects of the New Rural Cooperative Medical Scheme (NCMS) on poverty, using micro-level household data from 17 villages in a poor area of China’s Guizhou province. A four-wave panel dataset allows us to follow NCMS through its reforms.”

Funders for this research include National Natural Science Foundation of China, CGIAR Research Challenge Program on Policy, Institution, and Market (PIM).

The news correspondents obtained a quote from the research from Agriculture Informatics Institute, “First-order impact assessments suggest NCMS helps reduce the poverty rate by up to 3 percentage points, and the poverty gap by up to 15 percentage points. It also reduces the contribution of health expenditures to inequality as measured by Gini coefficient.”

According to the news reporters, the research concluded: “The benefits of NCMS in terms of poverty and inequality appear considerably larger after major reforms in 2009, which expanded benefits and coverage.”

For more information on this research see: Health Insurance and Medical Impoverishment In Rural China: Evidence From Guizhou Province. The Singapore Economic Review, 2019;64(3):727-745. The Singapore Economic Review can be contacted at: World Scientific Publ Co Pte Ltd, 5 Toh Tuck Link, Singapore 596224, Singapore.

Our news journalists report that additional information may be obtained by contacting Y.M. Zhang, Chinese Academy of Agricultural Sciences, Agriculture Informatics Institute, 12 Zhong Guan Cun Nan Da Jie, Beijing 100081, People’s Republic of China. Additional authors for this research include M.J. Filipski and K.Z. Chen.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1142/S021759081650017X. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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