Hai Le

Dr. Hai Le

Department of Business, Swinburne Vietnam, FPT University, Hanoi, Hà Nội, Vietnam
+3
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 November 2023 in Journal of Cleaner Production
Verified
Journal Article
Open access
Hai LeHai Le
Hai Le
DADina Azhgaliyeva
Dina Azhgaliyeva

2 August 2024 in Applied Energy
Verified
Journal Article
Closed access
DADina Azhgaliyeva
Dina Azhgaliyeva
Hai LeHai Le
Hai Le
ROResi Ong Olivares
Resi Ong Olivares
STShu Tian
Shu Tian

3 May 2024 in Finance Research Letters
Verified
Journal Article
Closed access
Hai LeHai Le
Hai Le
KVKim-Chi Vu
Kim-Chi Vu

19 September 2024 in Energy Research & Social Science
Verified
Journal Article
Closed access
HNHang Thu Nguyen-Phung
Hang Thu Nguyen-Phung
Hai LeHai Le
Hai Le

16 June 2024 in Economies
Verified
Journal Article
Open access
PDF file
HNHang Thu Nguyen-Phung
Hang Thu Nguyen-Phung
Hai LeHai Le
Hai Le
This study examines the effects of urbanization on household health expenditure. Using a unique bi-annually household-level dataset from 2012–2016 from Vietnam, we obtain key findings as follows. To mitigate possible endogeneity concerns, we utilize a two-stage least squares regression (2SLS) approach, employing the development of information and communication (ICT) infrastructure at the province level as an instrumental variable (IV). The key findings can be summarized as follows. First, urbanization significantly reduces Vietnamese households’ inpatient and outpatient health expenses. Second, the self-treatment expenses of households increase as the process of urbanization advances. In addition, we perform various robustness checks, encompassing different measures of urbanization, the use of lag of urbanization as an additional IV, and the plausible exogenous IV. The outcomes derived from these rigorous sensitivity analyses substantiate the reliability and consistency of our key results. Finally, we propose different ways to explain these results, including health insurance expenses and household income.