Climate Change Impacts on Agricultural Production and Crop Disaster Area in China

Abstract

<jats:p>As one of the largest agricultural countries in the world, China has always paid close attention to the sustainable development of agricultural production efficiency. However, with global climate change, extreme weather has become an exogenous factor that cannot be ignored, as it affects agricultural production. Most of the existing studies only consider the domestic natural resources and economic factors, without fully considering the external climate factors. This paper uses the super undesirable dynamic Slacks-Based Measures (SBM) under an exogenous variable model to simulate the external environmental factors by adding extreme weather days. The Dagum Gini coefficient and kernel density estimation are used to explore the regional differences in agricultural production in China. The results show that the agricultural production efficiency is higher in the eastern region, and the difference in agricultural production efficiency among the provinces in the middle and western regions is large, showing a trend of polarization. The difference in the Gini coefficient between the middle and western regions is more significant. The main contribution factor of the Dagum Gini coefficient is the inter-regional difference. The regional concentration degree of agriculture in China is decreasing, the regional distribution of agricultural water resources is more balanced, and the national regional difference gradually decreases. Finally, some suggestions are put forward, such as extreme weather control, agricultural water supply, and water-saving measures.</jats:p>

Extreme Climate Shocks and Green Agricultural Development: Evidence from the 2008 Snow Disaster in China

“…Finally, considering the different levels of development in different economic regions, we divided the sample into eastern, central, and western regions for heterogeneity analysis. The eastern part has the highest level of economic development and the western part has the lowest level [37]. The results are shown in Table 8, columns (3)- (5).…”

“…First, there is a lack of literature directly studying the impact of extreme climate shocks on GAD. Only a few scholars have studied the impact of extreme weather on agricultural efficiency from a sustainable development perspective [36,37]. However, the existing literature on the measurement and influencing factors of the level of GAD provides the foundation for measuring GAD.…”

Climate Sensitivity and the Value of Agricultural Production in the Brazilian Northeast: An Approach Using Spatial Panel Data

“…Furthermore, marginal effects were calculated by selecting economic and socio-demographic variables, and he estimated marginal impacts suggest that the projected changes in temperature will affect the crop productivity of the region. Shi et al (2020) use the super undesirable dynamic Slacks-Based Measures (SBM) under an exogenous variable model to simulate the external environmental factors by adding extreme weather days. The intention is to analyze climate change impacts on agricultural production in China.…”

Impacts of climate change on agriculture in Senegal: A systematic review

“…Climate change poses a threat to agricultural production that extends beyond crop husbandry to include livestock and, indeed, the entire agricultural sector (Ayinde et al, 2011). Climate change results in the reduction of crop production and productivity (Arora 2019;Shi et al, 2020). Despite technological advances and the Green Revolution, weather and climate continue to be important factors in determining agricultural productivity in most parts of the world (Sarkar et al, 2020).…”