Haiyang Kong

Dr. Haiyang Kong

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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10 August 2020 in The B.E. Journal of Economic Analysis & Policy
Verified
Journal Article
Open access
ZLZheng Liu
Zheng Liu
HKHaiyang Kong
Haiyang Kong
Seven Chinese cities have enacted One-Weekday Limit (OWL) driving restrictions following Beijing’s implementation shortly after the Olympics in 2008. Existing literature examines the short-run effect of the OWL or the long-run effect of the Olympic-year policy package on air pollution in Beijing. Using two difference-in-differences (DD) approaches, this study compares the long-run effect of the Olympic-year policy package with the effect of the OWL. Using the city of Tianjin as a control, this study finds a significant drop in pollution due to the Olympic-year policy package. Using weekends as a control, this study finds a much smaller and less significant drop due to the OWL. These new findings suggest that compared to the OWL, other policies enforced in the Olympic year account for a greater portion of the drop.

23 September 2024 in Applied Economics
Verified
Journal Article
Closed access
JHJingwei Huang
Jingwei Huang
HKHaiyang Kong
Haiyang Kong
YTYixing Tian
Yixing Tian
WZWei Zheng
Wei Zheng

19 January 2024 in European Economic Review
Verified
Journal Article
Closed access
DFDelia Furtado
Delia Furtado
HKHaiyang Kong
Haiyang Kong

FGFushuai Guo
Fushuai Guo
HKHaiyang Kong
Haiyang Kong
Using a global panel of bilateral digitally delivered services exports for 192 economies from 2006 to 2022, together with large-scale international news data, this study examines the impact of international media sentiment on digital service exports, with particular attention to the institutional-barrier channel. To address the temporal aggregation mismatch between high-frequency media sentiment and annual trade flows, as well as potential endogeneity concerns, we employ a Mixed Two-Stage Least Squares (M2SLS) approach. The results show that more favorable international media sentiment has a positive and statistically significant effect on digital service exports. This finding remains robust across a range of measurement checks, placebo tests, alternative instrument constructions, subsample analyses, and Bayesian estimation. Further analysis supports an institutional-barrier interpretation by showing that favorable media sentiment is associated with lower bilateral digital service trade policy heterogeneity. The impact is stronger in trust- and reputation-intensive service sectors and in cultural contexts where reputational signals are more salient, while it weakens or reverses in technical service sectors and in highly secular-rational and institutionally asymmetric trading relationships.

1 January 2021 in SSRN Electronic Journal
Verified
Preprint
Open access
PDF file
DFDelia Furtado
Delia Furtado
HKHaiyang Kong
Haiyang Kong
This paper examines the link between trade-induced changes in local labor market opportunities and English language fluency rates among low-skilled immigrants in the United States. Many of the production-based manufacturing jobs lost in recent years due to Chinese import competition did not require strong English-speaking skills while many of the jobs in expanding industries, mostly in the service sector, did. Consistent with responses to these changing labor market opportunities, we find that a $1,000 increase in import exposure per worker in a local area led to an increase in the share of low-skilled immigrants speaking English very well in that area by about half a percentage point. As evidence that at least part of this is a result of actual improvements in English language speaking abilities, we show that low-skilled immigrants in trade-impacted areas became especially likely to be enrolled in school compared to similarly low-skilled natives. However, while we find little support for selective domestic migration in response to trade shocks, we present evidence suggesting that new immigrants arriving from abroad choose where to settle based either on their English fluency or their ability to learn English. Regardless of whether low-skilled immigrants respond to trade shocks via actual improvements in English fluency or migration choices, our results suggest that immigrants help to equilibrate labor markets, an implication we find evidence for in the data.

1 January 2021 in RePEc
Verified
Preprint
Open access
DFDelia Furtado
Delia Furtado
HKHaiyang Kong
Haiyang Kong
This paper examines the link between trade-induced changes in local labor market opportunities and English language fluency rates among low-skilled immigrants in the United States. Many of the production-based manufacturing jobs lost in recent years due to Chinese import competition did not require strong English-speaking skills while many of the jobs in expanding industries, mostly in the service sector, did. Consistent with responses to these changing labor market opportunities, we find that a $1,000 increase in import exposure per worker in a local area led to an increase in the share of low-skilled immigrants speaking English very well in that area by about half a percentage point. As evidence that at least part of this is a result of actual improvements in English language speaking abilities, we show that low-skilled immigrants in trade-impacted areas became especially likely to be enrolled in school compared to similarly low-skilled natives. However, while we find little support for selective domestic migration in response to trade shocks, we present evidence suggesting that new immigrants arriving from abroad choose where to settle based either on their English fluency or their ability to learn English. Regardless of whether low-skilled immigrants respond to trade shocks via actual improvements in English fluency or migration choices, our results suggest that immigrants help to equilibrate labor markets, an implication we find evidence for in the data.