Impact of the Great East Japan Earthquake on the oyster market: a difference-in-differences estimation

Sakai, Yutaro; Wakamatsu, Hidefumi; Miyata, Tsutom

doi:10.1007/s12562-018-1240-3

Cited by 4 publications

(4 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wakamatsu ( 2014 ) quantified the economic effects of Marine Stewardship Council (MSC) certification in the Japanese fisheries industry by applying a structural break test and comparing fisheries with MSC certifications with those without and using landing data from Fukui Prefecture, Hyogo Prefecture, and the city of Maizuru. Sakai et al ( 2018 ) estimated the impact of the Great East Japan Earthquake (henceforth, the earthquake) on oyster production by comparing affected and unaffected prefectures. Moreover, existing literature applies the regular time-series approach to find the cointegration of multiple variables to explore market or fishery structures (Helstad et al 2005 ; Castillo-Manzano et al 2014 ; Goto and Takanashi 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of COVID-19 on ex-vessel prices using time-series analysis

Abe

Ishimura

Baba³

et al. 2022

Fish Sci

View full text Add to dashboard Cite

The spread of coronavirus disease 2019 (COVID-19) and subsequent lockdown measures have impacted economies and industries worldwide. The fisheries industry witnessed a sharp decline in demand and a slump in fish prices due to its dependence on the food service industry. It is important to quantitatively assess those fish species affected most and the extent of the pandemic’s impact on them, to take specific countermeasures. We propose a time-series analysis as an alternative to the current practice of using ad hoc year-on-year comparisons. Although the pandemic makes it difficult to construct a counterfactual approach due to the lack of an appropriate control group, we use time-series forecasting to simulate normal conditions using pre-pandemic data. In Tokyo, the unit price of fish species that were negatively impacted by the food services industry dropped by 12.65% to 14.64%, and by 26.08% to 28.22% after the declaration of a state of emergency. Seasonality, short weekly cycles, and short-term market trends are factors that affect the price of fish. Species-specific impact estimates related to the COVID-19 pandemic can allow policymakers to implement recovery measures in a more targeted and effective manner. The results of our analysis can increase fishers’ and policymakers’ awareness of the usefulness of economic analyses and incentivize them to release data to establish a system to accumulate and analyze data strategically for urgent and appropriate interventions in the fisheries industry.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of COVID-19 on ex-vessel prices using time-series analysis

Abe

Ishimura

Baba³

et al. 2022

Fish Sci

View full text Add to dashboard Cite

show abstract

“…Grabich et al [13] used quasi-natural experiments to test the effect of county-level hurricane exposure on birth rates in Florida and demonstrated the feasibility of the method by comparing it with the linear model. Sakai et al [14] used prefecture-level data to examine the impact of the great east Japan earthquake on the oyster market in Japan. Eguchi et al [15] used a social network service-based DID approach to examine the effect of restricted social activities during the COVID-19 pandemic on people's mental health.…”

Section: Quasi-natural Experiments and Text Miningmentioning

confidence: 99%

“…This paper explores the connotation of "e-commerce temperature" by using the LDA topic model and tests the "comfort" effect of it during the pandemic by the difference-in-differences (DID) method. (2) The effectiveness and rationality of the quasi-natural experiment for solving endogeneity problems in empirical research have been proven in several fields [13][14][15], but the drawback of not being able to repeat the experiments makes data collection fall into the dilemma of subjectivity and fragmentation, and the traditional survey method has Hawthorne bias as well. On this basis, this paper uses text mining technology to realize sentiment analysis of online content, which provides an objective and fair data premise for empirical research, forming a research paradigm of "topic model to build theory-text mining to collect and analyze data-experimental method to test the hypothesis-social network analysis to find inner association".…”

Section: Introductionmentioning

confidence: 99%

The Insights, “Comfort” Effect and Bottleneck Breakthrough of “E-Commerce Temperature” during the COVID-19 Pandemic

Yang

et al. 2022

JTAER

View full text Add to dashboard Cite

The impact of the COVID-19 pandemic on fresh food e-commerce has led to a loss of consumers, and “e-commerce temperature” is seen as an important means of alleviating consumer dissatisfaction and retaining consumers. To explore the connotation and effect of it, and to break through possible “comfort” bottlenecks, we used online reviews of the Jingdong fresh food platform as research data, mined the characteristics of “e-commerce temperature” with the help of the LDA topic model, and evaluated the mechanism of “e-commerce temperature” on consumer satisfaction during the pandemic by using quasi-natural experiments and Word2vec-based sentiment analysis. The results show that “e-commerce temperature” has five connotations of logistics commitment, humanized delivery, health pledge, pandemic perseverance, and consumer care, which can effectively mitigate the loss of consumer satisfaction. Interestingly, we found that the “e-commerce temperature” has a limited “comfort” effect. Additionally, further social network analysis shows that the bottleneck is mainly due to the consumers’ psychological gaps when comparing the usual e-commerce services, and cretailers can repair them through financial compensation and spiritual solace. The study explores e-commerce service quality at different pandemic stages with the help of text mining techniques, enriches the theory of e-commerce research, and alleviates the Hawthorne bias in traditional empirical studies. This study also provides a reference for e-retailers to improve service quality and respond to emergencies in a changing post-pandemic era.

show abstract

“…Similar to Sakai, Wakamatsu, and Miyata (2018), in assigning the treatment group, we use information of affected districts from official government reports.…”

Section: Empirical Frameworkmentioning

confidence: 99%

A Gender-Sensitive Earthquake Recovery Assessment Using Administrative and Satellite Data: The Case of Indonesia’s 2016 Aceh Earthquake

Akter¹,

Chairunissa²,

Pundit³

et al. 2022

View full text Add to dashboard Cite

This study assesses the medium-term recovery of women at the village level after the 2016 Aceh earthquake and explains how satellite and administrative data can be used to better identify how to target assistance after a disaster. The study finds that, in the medium term, some aspects of women’s welfare can significantly deteriorate after a disaster even when the affected villages have generally made economic progress. The authors explain how they developed the Women’s Welfare after Disaster Index and how they used nighttime radiance imaging data to gauge the broader economic recovery. They outline an easily replicable way of combining datasets of high and low frequency to assess medium-term recovery more accurately at the village level.

show abstract

Impact of the Great East Japan Earthquake on the oyster market: a difference-in-differences estimation

Cited by 4 publications

References 34 publications

Evaluating the impact of COVID-19 on ex-vessel prices using time-series analysis

Evaluating the impact of COVID-19 on ex-vessel prices using time-series analysis

The Insights, “Comfort” Effect and Bottleneck Breakthrough of “E-Commerce Temperature” during the COVID-19 Pandemic

A Gender-Sensitive Earthquake Recovery Assessment Using Administrative and Satellite Data: The Case of Indonesia’s 2016 Aceh Earthquake

Contact Info

Product

Resources

About