Jen-Yao Lee
Biographic Data
| ID | 7544615 |
|---|---|
| NAME | Jen-Yao Lee |
| GIVEN NAMES | Jen-Yao |
| FAMILY NAME | Lee |
| SIGNATURE | LEE J |
| AFFILIATIONS | National Kaohsiung University of Science and Technology |
| ORCID | 0000-0002-9943-5084 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Positive Network Externalities and Negative Environmental Externalities in a Differentiated Duopoly With Entry Fee‐Refund Policy
Most of the studies on the implications of externalities rarely consider the coexistence of positive network externalities and negative externalities. This paper examines the effect of net externalities in price competition and the effectiveness of the entry fee‐refund policy. We show that the positive network externalities improve profits, consumer surplus, and social welfare, while negative externalities reduce them. The implementation of an en…
Does compensative subsidy alleviate pollutant emission and improve welfare under cross-industry pollution
This paper establishes a cross-industry pollution externality model under centralized labor union. In delineating the motivations of a benevolent government, it might be possible to tax part of the welfare gains and use the revenue to compensate the affected polluting industry for the damage costs, thereby improving welfare. We show that the magnitude of marginal pollution plays a critical role. When the marginal pollution is large, the governmen…
Analysis of Taiwan’s Mask Collection and Plan Evasion during the Covid-19 Pandemic
This study established a two-stage dynamic game strategy to analyze how the planned quota and price of masks were set and why mask manufacturing firms on the national mask team (NMT) in Taiwan evaded the plan. Plan evasion occurred when the NMT decided to produce less than the quota set by the government, even though they were incentivized and able to produce more. Taiwan's experience shows that through the collection of masks and the Name-Based …
No prominent works on this page.
Analysis of Taiwan’s Mask Collection and Plan Evasion during the Covid-19 Pandemic
This study established a two-stage dynamic game strategy to analyze how the planned quota and price of masks were set and why mask manufacturing firms on the national mask team (NMT) in Taiwan evaded the plan. Plan evasion occurred when the NMT decided to produce less than the quota set by the government, even though they were incentivized and able to produce more. Taiwan's experience shows that through the collection of masks and the Name-Based …
Does compensative subsidy alleviate pollutant emission and improve welfare under cross-industry pollution
This paper establishes a cross-industry pollution externality model under centralized labor union. In delineating the motivations of a benevolent government, it might be possible to tax part of the welfare gains and use the revenue to compensate the affected polluting industry for the damage costs, thereby improving welfare. We show that the magnitude of marginal pollution plays a critical role. When the marginal pollution is large, the governmen…
Positive Network Externalities and Negative Environmental Externalities in a Differentiated Duopoly With Entry Fee‐Refund Policy
Most of the studies on the implications of externalities rarely consider the coexistence of positive network externalities and negative externalities. This paper examines the effect of net externalities in price competition and the effectiveness of the entry fee‐refund policy. We show that the positive network externalities improve profits, consumer surplus, and social welfare, while negative externalities reduce them. The implementation of an en…
Business (2 works) · Economics (2 works) · Externality (2 works) · Microeconomics (2 works) · 2019-20 coronavirus outbreak (1 work) · Archaeology (1 work) · Betacoronavirus (1 work) · Climate Change Policy and Economics (1 work) · Consumer Market Behavior and Pricing (1 work) · Coronavirus disease 2019 (COVID-19 (1 work)