2020
DOI: 10.1029/2020ef001617
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Climate Change Effects on Agricultural Production: The Regional and Sectoral Economic Consequences in China

Abstract: Climate is an essential element in agricultural production, and climate change inevitably have an impact on agriculture. Assessing the economic consequences of climate change requires comprehensive assessments of the impact chain from climate to crops and the economy. In our previous study, we derived a dose-response function to estimate the response of crop yields to climate variables through a systematic review. In this paper, a dynamic multiregional input-output model is established to assess the economic c… Show more

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Cited by 13 publications
(10 citation statements)
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“…In the present study, the AMRIO model is used to estimate the economic impacts of heat‐related changes in labor productivity in hot working environments under climate change. The AMRIO model is based on the Leontief production function and uses an iterative model framework to simulate the macroeconomic impact of external shocks and the economic ripple effects between regions and sectors (Liu et al., 2020). The AMRIO model originated from a traditional input‐output (IO) model and was initially used to evaluate the macroeconomic impact of natural disasters (Hallegatte, 2008; Li et al., 2013).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the present study, the AMRIO model is used to estimate the economic impacts of heat‐related changes in labor productivity in hot working environments under climate change. The AMRIO model is based on the Leontief production function and uses an iterative model framework to simulate the macroeconomic impact of external shocks and the economic ripple effects between regions and sectors (Liu et al., 2020). The AMRIO model originated from a traditional input‐output (IO) model and was initially used to evaluate the macroeconomic impact of natural disasters (Hallegatte, 2008; Li et al., 2013).…”
Section: Methodsmentioning
confidence: 99%
“…The AMRIO model used in this study is based on the Chinese multiregional IO table (Mi et al, 2017), which divides China into seven regions, covering eight sectors in each region. A detailed description of the model is provided in (Hallegatte, 2008) and (Liu et al, 2020). Each sector in the economy can be regarded as a producer, where labor is one of the main inputs for production.…”
Section: Economic Modelmentioning
confidence: 99%
“…It should be noted that the energy in this study refers to the main conventional energy products currently used in China’s social and economic development, namely, coal, oil, natural gas, and electricity, so the end‐use energy demand in our study was the total consumption demand of these energy products in the future. After comparing many IO‐based models (Hallegatte, 2008; C. Huang et al., 2020; Koks & Thissen, 2016; Koks et al., 2014; Liu et al., 2020; Okuyama, 2007; Oosterhaven & Bouwmeester, 2016; Santos, 2006), we chose to use the ARIO model as a prototype for this study to assess the indirect economic impact of China as a single region due to its applicability. The ARIO model is capable of dynamic simulation of complex supply and demand correlations among sectors, and it is a powerful tool for assessing macroeconomic impacts at regional and sectoral levels through the interaction of intermediate consumption and demand (J. Li et al., 2013).…”
Section: Methodsmentioning
confidence: 99%
“…economic cascade effect amounts to 17.8% of China's GDP). By 2100 it will be 0.1% to 13.6% of GDP (negative values indicate economic gains) without considering CO 2 fertilization effect [50].…”
Section: Impact Of Climate Change On Economymentioning
confidence: 99%