What Are the Impacts of Tropical Cyclones on Employment? An Analysis Based on Meta-Regression

Abstract

To investigate the general principle of the impact of tropical cyclones on employment, explore the reason for the divergence among existing research conclusions, and put forward some suggestions for post-disaster reconstruction, this paper employs meta-regression analysis to study the impacts of tropical cyclones on the quantity of labor employed and employee remuneration from four aspects: industry dimension, time dimension, income dimension, and tropical cyclone intensity. The results are as follows: 1) Tropical cyclones create an impact on the intensity of changes in employment remuneration in the primary industry, and the impact in the secondary industry is greater than that in the tertiary industry. 2) In the short term, the impact of tropical cyclones on employment is negative and the impact intensity is strong, whereas in the medium and long terms, the impact is positive and the intensity of impact decreases. 3) Although tropical cyclones increase the quantity of labor employed from low-income groups, they decrease their employment remuneration. In addition, the impact of disasters on the number of employed high-income groups is relatively small compared to that of lowincome groups. 4) A higher category of tropical cyclone results in a greater positive impact on the employment of labor force. Accordingly, the following suggestions are made: 1) The government should issue corresponding policies to provide ''temporary disaster subsidies'' for disaster-stricken lowincome groups. 2) Insurance companies should introduce commercial insurance concerning ''post-disaster employment'' for employers to purchase before any disaster occurs so as to offer disaster-stricken employees compensation.

Economic Loss Assessment of Tropical Cyclones Based on Bibliometric Data Analysis

“…The social economic impact assessment of TCs is mainly divided into direct economic losses and indirect economic losses. From the perspective of direct loss research, the impact of TCs on industries and infrastructure (Mitsova et al, 2019;Philpott et al, 2008), quantity and remuneration of labor force (Belasen & Polachek, 2009;Wu et al, 2019), also with a possibility on the overall social economy (Pielke Jr et al, 2003;Wang et al, 2016) is included. The main methods adopted are vulnerability analysis methods, econometric models, along with damage models and artificial intelligence methods respectively.…”

Design of Temperature Insurance Index and Risk Zonation for Single-Season Rice in Response to High-Temperature and Low-Temperature Damage: A Case Study of Jiangsu Province, China

“…In China, scholars (e.g., [18,19,20,21,22,23]) have mainly studied the impact of single or integrated weather disaster factors such as continuous rain, drought, high-temperature damage, low-temperature damage, and strong wind on per unit yield, and designed different types of weather index-based insurance products according to local conditions. For example, Wang and Zhang used cotton per unit yield data from three counties in Xinjiang to fit different distribution models and obtained different premium rates.…”

“…Zhou determined that low-temperature damage was the main weather disaster for apples in Shandong Province. After the yield and trend output were separated with a reasonable low-temperature damage index, the linear relation between Qixia City’s annual per unit yield and low-temperature damage index was determined, and the risk zoning and rate determination were finally determined [21]. From our research perspective, few papers studied the agricultural weather disaster insurance of single-season rice of Jiangsu.…”

Spatiotemporal impact of major events on air quality based on spatial differences-in-differences model: big data analysis from China

“…The momentary “political blue sky” also appeared during the APEC meetings, the 70th anniversary parade of anti-fascist victory, the Nanjing Youth Olympic Games and the Hangzhou G20 Summit. While it seems a common practice to conduct temporary air quality control during major events (Shi et al 2016 ; Wu et al 2018 , 2019a , b , c ), little is known about the real impact of these major events on the quality of air in these cities and the surrounding towns. This study therefore seeks to address the following questions how much impact do major events have on urban air quality?…”