scholarly journals Economy-Wide Effects of Climate Change in Benin: An Applied General Equilibrium Analysis

2019 ◽  
Vol 11 (23) ◽  
pp. 6569 ◽  
Author(s):  
Femi E. Hounnou ◽  
Houinsou Dedehouanou ◽  
Afio Zannou ◽  
Johanes Agbahey ◽  
Gauthier Biaou

This research analyzes the economic effects of climate change-induced crop yield losses in Benin. As agriculture is a large sector in Benin, the climate change-induced crop yield losses are expected to affect the entire economy as well as household welfare in both rural and urban areas. The paper applies a dynamic general equilibrium model and simulates productivity shocks in the agricultural sector derived from climate change scenarios for Benin. The findings show that climate change-induced crop yield losses reduce domestic agricultural outputs by 4.4% and the nonagricultural output by 0.9% on average by 2025. While export supply decrease by 25.5%, import demand increases by 4.9% on average by 2025. As price of labour and capital decline, household income drop for all household groups by 2.5% on average. Ultimately, household welfare decline for all household groups by 2.7% on average. Rural and particularly poor households are projected to experience the worst adverse effects of climate change-induced crop yield losses. The results show that without adaptive strategies to cope with climate change, economic growth and household welfare will decline even further by 2035 and 2045. Subsequently, the paper suggests that adaptation strategies are needed not only at the national level to overcome the projected negative effects on macroeconomic indicators, but also at household level to enhance the adaptative capacity of households, especially the poor households living in rural areas.

2006 ◽  
Vol 27 (5) ◽  
pp. 913-924 ◽  
Author(s):  
Maria Berrittella ◽  
Andrea Bigano ◽  
Roberto Roson ◽  
Richard S.J. Tol

2004 ◽  
Vol 7 (3) ◽  
pp. 521-531 ◽  
Author(s):  
M Kearney ◽  
J H Van Heerden

Zero-rating food is considered to alleviate poverty of poor households who spend the largest proportion of their income on food.  However, this will result in a loss of revenue for government.  A Computable General Equilibrium (CGE) model is used to analyze the combined effects on zero-rating food and using alternative revenue sources to compensate for the loss in revenue.  To prohibit excessively high increases in the statutory VAT rates of business and financial services, increasing direct taxes or increasing VAT to 16 per cent, is investigated.  Increasing direct taxes is the most successful option when creating a more progressive tax structure, and still generating a positive impact on GDP.  The results indicate that zero-rating food combined with a proportional percentage increase in direct taxes can improve the welfare of poor households.  


Climate ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 139
Author(s):  
Manashi Paul ◽  
Sijal Dangol ◽  
Vitaly Kholodovsky ◽  
Amy R. Sapkota ◽  
Masoud Negahban-Azar ◽  
...  

Crop yield depends on multiple factors, including climate conditions, soil characteristics, and available water. The objective of this study was to evaluate the impact of projected temperature and precipitation changes on crop yields in the Monocacy River Watershed in the Mid-Atlantic United States based on climate change scenarios. The Soil and Water Assessment Tool (SWAT) was applied to simulate watershed hydrology and crop yield. To evaluate the effect of future climate projections, four global climate models (GCMs) and three representative concentration pathways (RCP 4.5, 6, and 8.5) were used in the SWAT model. According to all GCMs and RCPs, a warmer climate with a wetter Autumn and Spring and a drier late Summer season is anticipated by mid and late century in this region. To evaluate future management strategies, water budget and crop yields were assessed for two scenarios: current rainfed and adaptive irrigated conditions. Irrigation would improve corn yields during mid-century across all scenarios. However, prolonged irrigation would have a negative impact due to nutrients runoff on both corn and soybean yields compared to rainfed condition. Decision tree analysis indicated that corn and soybean yields are most influenced by soil moisture, temperature, and precipitation as well as the water management practice used (i.e., rainfed or irrigated). The computed values from the SWAT modeling can be used as guidelines for water resource managers in this watershed to plan for projected water shortages and manage crop yields based on projected climate change conditions.


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