Spatial Analysis of Climate Change Impacts on Regional Economies Through Japan’s Rice Production Changes and Innovative Food Industry Cluster: Using the Nine Interregional CGE Model

Author(s):  
Suminori Tokunaga ◽  
Mitsuru Okiyama ◽  
Maria Ikegawa
2021 ◽  
Vol 9 ◽  
Author(s):  
Pham Quy Giang ◽  
Tran Trung Vy

In developing countries in general and in Vietnam in particular, flood induced economic loss of agriculture is a serious concern since the livelihood of large populations depends on agricultural production. The objective of this study was to examine if climate change would exacerbate flood damage to agricultural production with a case study of rice production in Huong Son District of Ha Tinh Province, North-central Vietnam. The study applied a modeling approach for the prediction. Extreme precipitation and its return periods were calculated by the Generalized Extreme Value distribution method using historical daily observations and output of the MRI-CGCM3 climate model. The projected extreme precipitation data was then employed as an input of the Mike Flood model for flood modeling. Finally, an integrated approach employing flood depth and duration and crop calendar was used for the prediction of potential economic loss of rice production. Results of the study show that in comparison with the baseline period, an increase of 49.14% in the intensity of extreme precipitation was expected, while the frequency would increase 5 times by 2050s. As a result, the seriousness of floods would increase under climate change impacts as they would become more intensified, deeper and longer, and consequently the economic loss of rice production would increase significantly. While the level of peak flow was projected to rise nearly 1 m, leading the area of rice inundated to increase by 12.61%, the value of damage would rise by over 21% by 2050s compared to the baseline period. The findings of the present study are useful for long-term agricultural and infrastructural planning in order to tackle potential flooding threats to agricultural production under climate change impacts.


Author(s):  
Ling-Ling Chen ◽  
◽  
Chao-Heng Tseng ◽  

The paper examines the relevance of the climate change adaptation and disaster reduction risk for supply chain processes in industry. Through a structured review of academic literature two primary challenges are highlighted: first, non-consistencymethod in integrating formal attribution of climate change adaptation and disaster reduction risk, and second in impacting with changing ecological environment and unpredictable natural disasters for supply chain processes in industry can be described as unavoidable. In examining these two challenges, we arrive at a climate change adaptation framework for industry supply chain as well as a framework of integratedclimate change adaptation and disaster reduction risk for industry cluster. In offering this viewpoint, related climate change adaptation and disaster reduction risk, acomprehensive risk and adaptation management approach is proposed as a practical framing for above two challenges to address climate change impacts and risks for supply chain processes in industry as well as promote the ability of risk and adaptation management in industrial operation process.


Subject The impact of climate change on Maghreb countries. Significance The Maghreb is one of the world's most water-scarce regions. Global warming will exacerbate the ecological, social and economic challenges it already faces. Impacts Water misuse will exacerbate the effects of climate change on the region’s water supplies. Renewable energies will not only help ease climate change impacts, but also diversify regional economies and create employment. Unless climate change adaptation strategies accelerate, Maghreb countries will see a deterioration in living conditions.


2021 ◽  
Vol 64 (6) ◽  
pp. 1717-1733
Author(s):  
Valentina Prado ◽  
Jesse Daystar ◽  
Steven Pires ◽  
Michele Wallace ◽  
Lise Laurin

HighlightsCottonseed oil (CSO), a cotton byproduct, has advantages for climate change compared to other seed oils.Results show that the cultivation phase is the main impact driver for all vegetable oils analyzed in this study.Refined CSO (U.S.) can reduce climate change impacts by up to 83% as compared to the other oils analyzed.Abstract. Edible vegetable oils are a major source of climate change impacts and an environmental concern in the processed food industry. This study consists of a cradle-to-grave life cycle assessment (LCA) of refined U.S. cottonseed oil (CSO), global soybean oil, U.S. canola oil, and palm oil sourced from Indonesia and Malaysia. Considering the oils equivalent for deep frying, they are compared on a 1 kg of oil basis. Analysis includes sensitivity analyses for modeling allocation choices and oil mixes as well as uncertainty analysis. Results show that the cultivation phase is the main impact driver for all vegetable oils analyzed, which favors CSO (U.S.) because it is a co-product. Refined CSO (U.S.) can reduce climate change impacts by up to 83%. Overall, refined CSO (U.S.) was a top performer in six of the eight impact categories evaluated. When ranking the oils, refined CSO (U.S.) was the preferred choice. Despite being the preferred choice, there are tradeoffs with CSO, such as water scarcity. In the context of global-scale commercial frying applications, e.g., McDonald’s daily French fry production of 9 million tons per day, switching the frying oil to refined CSO (U.S.) represents potential savings of 1,130 to 2,188 tons of CO2-eq d-1. For fast-food chains seeking to reduce their climate change impacts, refined CSO (U.S.) may be useful in frying applications. However, opportunities may exist for improvement in water use efficiency in the cultivation phase, which reinforces the need for continuous improvements in agriculture. Keywords: Comparative life cycle assessment, Canola oil, Cottonseed oil, Cotton sustainability, Fast-food industry, LCA, Palm oil, Soybean oil, Vegetable frying oils.


2020 ◽  
Vol 27 (18) ◽  
pp. 22568-22578
Author(s):  
Ghulam Shabbir ◽  
Tasneem Khaliq ◽  
Ashfaq Ahmad ◽  
Muhammad Saqib

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