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X-WR-CALDESC:Events for VNP | Chương trình Việt Nam - Hà Lan
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TZID:Asia/Krasnoyarsk
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TZOFFSETFROM:+0700
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20261116T140000
DTEND;TZID=Asia/Krasnoyarsk:20261116T150000
DTSTAMP:20261109T094340Z
CREATED:20261109T093648Z
LAST-MODIFIED:20261109T094340Z
UID:23600-1794837600-1794841200@vi.vnp.edu.vn
SUMMARY:Thesis Public Defense | VNP30 - Lê Hoàng
DESCRIPTION:Determinants of air pollution in Vietnam: a provincial panel analysis of meteorological and sectoral drivers \nStudent: Lê Hoàng\, VNP-30 \nSupervisor: Dr. Nguyễn Quang \nAbstract: \nRapid economic growth has improved living standards in Vietnam but has also coincided with concerns about fine particulate matter (PM2.5) pollution\, which poses challenges for public health and environmental sustainability. Existing evidence remains fragmented\, with limited attention to nonlinear relationships\, spatial dependence\, regional heterogeneity\, and the relative importance of meteorological and anthropogenic factors. This study examines the conditional associations between PM2.5 concentrations and meteorological and sectoral economic variables across Vietnam’s 63 provinces from 2012 to 2022. Using a balanced provincial panel dataset\, the analysis incorporates temperature\, atmospheric pressure\, wind speed\, precipitation\, industrial production\, passenger and goods transportation\, construction activity\, installed coal-fired power capacity\, and biomass straw burning. The empirical framework combines panel regression\, nonlinear specifications\, spatial econometric models\, regional analyses\, and relative-importance decomposition. The results from the preferred two-way Fixed Effects model indicate that meteorological variables collectively account for approximately 63.36% of the model-explained variation in PM2.5 concentrations\, while anthropogenic factors account for the remaining 36.64%. Among the anthropogenic variables\, construction activity has the largest relative-importance allocation\, at 17.87%. The preferred model also identifies statistically significant inverted Ushaped associations between PM2.5 concentrations and both construction activity and installed coal-fired power capacity. However\, the estimated relationships vary across model specifications: passenger transportation exhibits a statistically significant nonlinear association in the spatial models\, whereas its linear and quadratic terms are not statistically significant in the preferred twoway Fixed Effects model. The spatial econometric results indicate positive and statistically significant spatial dependence\, while the regional analyses reveal substantial heterogeneity in the associations between PM2.5 concentrations\, meteorological conditions\, and sectoral economic activities across Vietnam’s six socio-economic regions. These findings underscore the importance of accounting for meteorological conditions\, nonlinear relationships\, spatial dependence\, and regional differences when interpreting provincial PM2.5 patterns. Policy considerations may include strengthening construction dust management\, improving transportation and power-sector emissions controls\, and developing region-specific air-quality strategies. Nevertheless\, the estimated relationships represent conditional associations and do not establish causal effects of individual factors or the effectiveness of particular policy interventions.\n \nKeywords: PM2.5 pollution\, fixed effects model\, Vietnam
URL:https://vi.vnp.edu.vn/event/thesis-public-defense-vnp30-l-hong/
LOCATION:H.001\, 1A Hoàng Diệu\, Thành phố Hồ Chí Minh\, Viet Nam
CATEGORIES:THESIS PUBLIC DEFENSE
ATTACH;FMTTYPE=image/jpeg:https://vi.vnp.edu.vn/wp-content/uploads/2026/11/hoang.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20261116T150000
DTEND;TZID=Asia/Krasnoyarsk:20261116T160000
DTSTAMP:20261109T093550Z
CREATED:20261109T092826Z
LAST-MODIFIED:20261109T093550Z
UID:23596-1794841200-1794844800@vi.vnp.edu.vn
SUMMARY:Thesis Public Defense | VNP31 - Nguyễn Thị Hồng Hạnh
DESCRIPTION:Repeated tropical-cyclone exposure and household welfare in Vietnam: Evidence from the VHLSS 2014-2024 \nStudent: Nguyễn Thị Hồng Hạnh\, VNP-31 \nSupervisor: Dr. Trương Đăng Thụy \nAbstract: \nVietnam is highly exposed to tropical cyclones\, and many households face several storms within a short period. This thesis examines whether repeated tropical-cyclone\nexposure is associated with household income and consumption\, using six waves of the Vietnam Household Living Standards Survey (VHLSS) from 2014 to 2024. Exposure is constructed from storm tracks in the International Best Track Archive for Climate Stewardship (IBTrACS). A province-storm pair qualifies when its 100-km buffered track intersects the province and at least one relevant track observation records a maximum sustained wind of at least 34 knots in the U.S. agency record\, the threshold for tropical-storm strength. Each household is assigned the qualifying storms of the 24 full calendar months before its interview month. Models with province and survey-year fixed effects are estimated for storm frequency\, cumulative recorded wind\, the timing of exposure\, and differences between agricultural and non-agricultural households. Pairs that are ambiguous because of missing wind observations are handled through a conservative main coding and an extremecase sensitivity coding. \nThe results show no robust average association between repeated exposure and real monthly per-capita income or consumption. Under the main coding\, one additional\nqualifying storm is associated with 0.56% lower income and 0.05% lower consumption\, neither significant\, and the 95% confidence intervals exclude average declines larger than about 1.5% and 0.7%\, respectively. The cumulative-wind and timing specifications show no stable pattern\, and 50-km and 150-km buffers yield no association significant at the 5% level. Agricultural households show more negative associations under common fixed effects\, but these become small and insignificant once province and year effects vary by agricultural status. The estimates are conditional associations\, not causal effects or direct measures of resilience. Finer exposure data\, household panels\, and direct measures of damage and coping would clarify how households respond to repeated tropical cyclones in Vietnam clarify how households respond to repeated tropical-cyclone exposure in Vietnam. \nKeywords: tropical cyclones; repeated exposure; household welfare; income; consumption; VHLSS; Vietnam\nJEL classification: Q54; D12; I31
URL:https://vi.vnp.edu.vn/event/thesis-public-defense-vnp31-nguyen-thi-hong-hanh/
LOCATION:H.001\, 1A Hoàng Diệu\, Thành phố Hồ Chí Minh\, Viet Nam
CATEGORIES:THESIS PUBLIC DEFENSE
ATTACH;FMTTYPE=image/jpeg:https://vi.vnp.edu.vn/wp-content/uploads/2026/11/hanh.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Krasnoyarsk:20261116T160000
DTEND;TZID=Asia/Krasnoyarsk:20261116T170000
DTSTAMP:20261109T093515Z
CREATED:20261109T092132Z
LAST-MODIFIED:20261109T093515Z
UID:23593-1794844800-1794848400@vi.vnp.edu.vn
SUMMARY:Thesis Public Defense | VNP31 - Nguyễn Thị Ngọc Giàu
DESCRIPTION:International technology transfer and renewable energy consumption in 16 Asia-Pacific economies : a moderated dynamic panel analysis \nStudent: Nguyễn Thị Ngọc Giàu\, VNP-31 \nSupervisor: Dr. Trương Đăng Thụy \nAbstract: \nAs global energy consumption and emission trends shift significantly toward Asia\, economies in the region face a major challenge: a technological deficit in the renewable energy sector. This study examines how international technology transfer (ITT)—proxied by patent applications filed by foreign entities—influences the share of renewable energy. The analysis utilizes a panel dataset covering 16 Asia-Pacific economies from 2000 to 2023\, employing both static and dynamic two-way fixed effects (TWFE) estimation models. The empirical results yield two key findings. First\, the share of renewable energy exhibits strong inertia and structural persistence over time\, though this persistence diminishes when country-specific trends are accounted for. Notably\, once structural inertia is controlled for in the dynamic model\, foreign sourced patents (whether in the current or lagged periods) show no statistically significant impact—a contrast to the positive effects observed in the static model. This suggests that static\nestimates may overstate short-term effects by failing to account for infrastructural inertia. Second\, in the baseline dynamic model\, the relationship between foreign patents and the share of renewable energy strengthens with the level of economic development\, reaching statistical significance only among high-income economies. However\, this moderating role of income disappears when controlling for country-specific trends or applying a first-difference approach\, highlighting a high sensitivity to model specification. Based on these findings\, the study underscores the importance of accounting for structural inertia and conducting sensitivity analyses. Rather than drawing rigid conclusions regarding causality or offering prescriptive policy recommendations\, the study provides a cautious analytical framework: the transition of the energy structure necessitates a longterm roadmap due to significant infrastructural inertia. Furthermore\, it proposes the regulatory role of income as a hypothesis that warrants further investigation in future research. \nKeywords: International Technology Transfer\, Renewable Energy\, Path-dependency\, Moderated Dynamic Panel\, Absorptive Capacity\, Asian Economies
URL:https://vi.vnp.edu.vn/event/thesis-public-defense-vnp29-nguyn-th-ngc-giu/
LOCATION:H.001\, 1A Hoàng Diệu\, Thành phố Hồ Chí Minh\, Viet Nam
CATEGORIES:THESIS PUBLIC DEFENSE
ATTACH;FMTTYPE=image/jpeg:https://vi.vnp.edu.vn/wp-content/uploads/2026/11/giau.jpg
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