Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province

Abstract

The agricultural production decision making of peasant households can have a direct impact on agricultural development trends and national food security, and the impact of natural hazards on the agricultural production decision making of peasant households merits significant consideration. On the basis of the micro survey data of Hunan Province in 2022, this paper empirically discusses the impact of natural hazards on peasant households’ agricultural production decision making by using a Probit model. The study found that: (1) natural hazards did not significantly affect peasant households’ willingness to engage in agricultural production; (2) peasant households will reduce the impact of natural hazards on agricultural production by planting “drought-resistant crop” or “flood-tolerant crop”; and (3) natural hazards will also reduce the probability of peasant households adopting green production decision making. Subsequently, the Logit model is used to test the robustness and the PSM model is used to correct the possible selectivity bias. The above results are supported. The results of a heterogeneity analysis indicate the following: (1) natural hazards can substantially affect the disaster adaptation decision making of young and middle-aged householders, and yet fail to significantly affect the disaster adaptation decision making of elderly householders; (2) natural hazards can severely influence the disaster adaptation as well as green production decision making of peasant households that have not received agricultural technology training but those who have received such training are not significantly impacted; and (3) natural hazards significantly affect the production decision making of peasant households who have not purchased agricultural insurance, and yet fail to significantly affect the production decision making of peasant households who have purchased agricultural insurance. Our findings can provide the government with an empirical basis for formulating pertinent policies.

Impact of saltwater intrusion on poverty in rural households in the Mekong Delta, Vietnam

“…Building on existing research (Yang et al, 2023;Zhang et al, 2022), this paper presents different types of score matching estimators, including Kernel matching, local linear matching, radius matching, and nearest neighbor matching (k = 1, k = 4). Table 5 presents the impact of saline intrusion on household income, obtained using the propensity score matching method.…”

“…Estimate by propensity score matching methodThe study sample may have endogenous selection problems because households choose their place of residence according to the natural environment, climate, and soil characteristics. Referring to existing research(Yang, Xu, Xie, Sohail, & Gong, 2023;Zhang et al, 2022), we used propensity score matching (PSM) to reduce this source of bias. We use a dummy variable equal to 1 if the household regularly suffers from saline intrusion at 4 g/l (treatment group) or 0 otherwise (control group).…”

Sustainable development of environmental protection talents training: Research on the behavior decision of government, university and enterprise under the background of evolutionary game

“…As a result, many scholars have conducted research on the cultivation of environmental talents, and some scholars have studied the role of human capital in green growth and environmental performance, which has shown that increased investment in human capital can promote green economic growth and realize environmental protection [47]. Yang et al [48] empirically analyzed the impact of natural disasters on agricultural production decisions using the probit model. The results of this study can provide empirical evidence for the government to formulate relevant policies.…”