Damage Estimation using Shock Zones: A case study of Amphan tropical cyclone

The tropical cyclone affects millions of people living in the coastal regions. The changing climate has led to an increased intensity and frequency of cyclones, therefore increasing the damage caused to people, the environment, and property. The Bay of Bengal is most prone to tropical cyclones, which affects Bangladesh and the eastern coastal region of India due to geographical proximity. Hence, a comprehensive understanding of the inundation damage and intensity caused becomes essential to focus the relief efforts on the affected districts. This study identified the shock zone and assessed the inundation associated damage caused by recent cyclone Amphan in the area of Bangladesh and West Bengal in India. The shock zonation was based on the track of cyclones, cyclone wind speed zones, elevation, wind impact potentiality, and agricultural population area. The identification of the affected area was done using integrated Landsat and SAR data, and economic damage cost was assessed using the Asian Development Bank’s (ADB) Unit price approach. The total people affected due to inundation are 2.4 million in India and 1.4 million in Bangladesh and the damage totaled up to 5.4 million USD. The results of this study can be used by concerned authorities to identify the shock zones and be used for rapid assessment of the damages.

Damage Estimation using Shock Zones: A case study of Amphan tropical cyclone

The tropical cyclone affects millions of people living in the coastal regions. The changing climate has led to an increased intensity and frequency of cyclones, therefore increasing the damage caused to people, the environment, and property. The Bay of Bengal is most prone to tropical cyclones, which affects Bangladesh and the eastern coastal region of India due to geographical proximity. Hence, a comprehensive understanding of the inundation damage and intensity caused becomes essential to focus the relief efforts on the affected districts. This study identified the shock zone and assessed the inundation associated damage caused by recent cyclone Amphan in the area of Bangladesh and West Bengal in India. The shock zonation was based on the track of cyclones, cyclone wind speed zones, elevation, wind impact potentiality, and agricultural population area. The identification of the affected area was done using integrated Landsat and SAR data, and economic damage cost was assessed using the Asian Development Bank’s (ADB) Unit price approach. The total people affected due to inundation are 2.4 million in India and 1.4 million in Bangladesh and the damage totaled up to 5.4 million USD. The results of this study can be used by concerned authorities to identify the shock zones and be used for rapid assessment of the damages.

Trade Policy and the Marshall–Lerner Condition: Application of the Tobit Model

This paper establishes the micro-foundation for the income-price approach to export and import functions from the firm’s profit maximization problem. Following Boyd et al. (2000), we derive the Marshall–Lerner condition mathematically and analyze the effects of home and foreign trade policies, such as the minimum access and quantitative trade restriction, on the Marshall–Lerner condition. In conclusion, such trade policies make the condition theoretically difficult to hold since the marginal effects of the Tobit estimates under deterministic trade policies are always lower than the ordinary least squares (OLS) estimates under no trade policies in absolute values.