Impact of climate adaption technology adoption on farm households’ agricultural income

doi:10.12006/j.issn.1673-1719.2023.186

Abstract

Abstract:

In order to investigate the impact of climate adaptation technology adoption on farmer households’ agricultural income under the impact of climate change, the income-growth effect of climate adaptation technology adoption on farmer households and the mechanism of the effect on income gap were analyzed with different levels of agricultural income based on 2502 research data of farmer households in six provinces in the middle and upper reaches of the Yellow River, using the Unconditional Quartile Regression (UQR) and Recentered Influence Function (RIF) decomposition regression. Conclusions are as follows. Climate adaptation technology adoption has decreasing effect on the income increase of farm households from low to high levels of agricultural income, and the effect on the income increase of farm households with low level of agricultural income is the most obvious. Climate adaptation technology adoption can narrow the gap of agricultural income within the farm households, and the effect is the most obvious within the low level agricultural income group. The RIF decomposition regression shows that the structural effect is the main reason for the narrowing of the gap of agricultural income within the farm households, mainly with the effect of education level of farm households on the income gap. Therefore, climate adaptive technologies should be widely promoted, and at the same time, attention should be paid to improve the understanding and cognition of farmers on climate adaptive technologies, improve the willingness of farmers to accept climate adaptive technologies, encourage the low-income farmers to adopt a combination of climate adaptive technologies, and the government should give appropriate subsidies to reduce the burden of farmers.

Key words: Climate adaptation technology, Agricultural income, Different income levels, Unconditional Quantile Regression (UQR), Recentered Influence Function (RIF) decomposition regression

LI Xian-Kang, HAN Xing-Xing, LIANG Hong-Song. Impact of climate adaption technology adoption on farm households’ agricultural income[J]. Climate Change Research, 2024, 20(2): 193-204.

Figures/Tables 7

Fig. 1 Schematic of the study area

Table 1 Variable selection and descriptive results

Table 2 Basic characteristics of the sample

Table 3 Unconditional quantile regression results of climate adaptive technologies adoption on the agricultural income per capita of farm households

Table 4 Results of the test of quantile differences in the gap of agricultural income per capita of farm households due to the climate adaptive technologies adoption

Table 5 Decomposition of Recentered Influence Function (RIF) regression for climate adaptative technologies adoption of farmer households

Table 6 Results of Heckman’s two-stage sample self-selection test

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