Policy Cognition, Household Income and Farmers’ Satisfaction: Evidence from a Wetland Ecological Compensation Project in the Poyang Lake Area at the Micro Level

Abstract

The paper follows a field survey of 773 rural households in 14 towns in five prefectures (cities and districts) around the Poyang Lake, and uses a multivariate ordered logistic model to explore the factors influencing satisfaction with wetland ecological compensation policies (WECPs) from the perspective of rural households’ subjective cognition of WECPs and income factors. The research shows the following. (1) the overall score for satisfaction of farmers with WECPs is 3.56, which indicates satisfaction between “fair” and “fairly satisfied,” and there is room for policy optimization. (2) The subjective cognition of policies and the income-related factors have significant impacts on the satisfaction of farmers with WECPs. Among them, cognition of policy objectives, evaluation of compensation rates, timely distribution of compensations, government supervision, changes in household incomes and importance of compensation on households all have significant positive influences on policy satisfaction. (3) The degree of education, the proportion of household labor forces and the proportion of household non-agricultural incomes have a significant positive impact on the policy satisfaction of farmers. Therefore, in future policy implementation, we should strengthen publicity and guidance of the policy, raise compensation rates appropriately, strengthen government supervision, pay attention to rural livelihood, and establish an ecological compensation mechanism featuring fairness and long-term effectiveness.

Satisfaction of households in surrounding communities of protected areas with economic compensation for wildlife accidents: a case study of Xishuangbanna National Nature Reserve in China

“…Compared with existing research, this study has drawn some novel conclusions. Pang et al (2022) found that education level influences overall satisfaction, a conclusion further corroborated in this study. However, while their research suggests gender has no significant impact and family income affects satisfaction, this study identifies gender as a significant factor affecting satisfaction and finds no significant impact of family income.…”

“…The research focuses on exploring various factors influencing the satisfaction of farmers with compensation for wildlife incidents. Previous studies on ecological compensation satisfaction have indicated that the level of understanding of compensation policies, satisfaction with compensation amounts, and policy implementation efficiency are important factors influencing satisfaction (Pang et al, 2022;Tan et al, 2020). Pang et al (2022) studied the satisfaction of farmers with ecological compensation in the Poyang Lake Wetland in Jiangxi Province, China, and found that farmers' subjective perceptions, income factors, and family labor structure significantly influence satisfaction.…”

“…Previous studies on ecological compensation satisfaction have indicated that the level of understanding of compensation policies, satisfaction with compensation amounts, and policy implementation efficiency are important factors influencing satisfaction (Pang et al, 2022;Tan et al, 2020). Pang et al (2022) studied the satisfaction of farmers with ecological compensation in the Poyang Lake Wetland in Jiangxi Province, China, and found that farmers' subjective perceptions, income factors, and family labor structure significantly influence satisfaction. Xiao et al (2019) conducted research on the satisfaction of farmers with compensation policies for cultivated land in Chengdu, Sichuan Province, China, and demonstrated that farmers' understanding of the value of compensation objects significantly affects satisfaction.…”

“…2.2.3 Specification of the model. To explore the factors influencing farmers' satisfaction with compensation for wildlife-related accidents, this study adopts the research methodology Forestry Economics Review referenced from existing literature (Pang et al, 2022;Poudel et al, 2022) and constructs an Ordered Probit (Oprobit) model for regression analysis. The basic principle of the Oprobit model is to use the latent variable approach to derive maximum likelihood estimates for analyzing ordered discrete variables.…”

Low Residents’ Satisfaction with Wetland Leisure Demand in Typical Urban Areas of the Semi-Arid Region in Western China: Spatial Variations and Their Causes

“…Consequently, the previous evaluations struggled to objectively quantify residents' satisfaction. Furthermore, there remains a limited understanding of spatial variations in residents' satisfaction and their causes [14,21,22]. The supply-demand relationship between the population capacity of wetlands and the total population of communities provides a means to objectively reflect residents' satisfaction with wetland leisure demand [16].…”