What are the impacts of livelihood capital and distance effect on farmers' willingness to pay for coastal zone ecological protection? Empirical analysis from the Beibu Gulf of China

Cheng, Peng; Yue, Dong; Wang, Zhihan; Tang, Houtian; Jiang, Ping; Liu, Yanfang

doi:10.1016/j.ecolind.2022.109053

Cited by 14 publications

(6 citation statements)

References 68 publications

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“…Second, the WTP is based on the C-optimal design of the bid value and other deviation control, which reduces the error caused by the inclusion of a low bid value and also reduces the degree of data dispersion in regression analysis (Kim, 2009). Compared with the Tobit model that requires the explained variable to be "Left censor" and/or "Right censor," OLS regression is more suitable for estimation of the dependent variable with established boundaries in this study (Cheng et al, 2022). It also avoids excessive correction that may distort the regression results.…”

Section: Willingness To Pay Estimationmentioning

confidence: 99%

“…The WTP in this study is based on the C-optimal design of the bid value and other deviation control. OLS regression is suitable for estimation of the dependent variable with established boundaries (Cheng et al, 2022). It also avoids excessive correction that may distort the regression results.…”

Section: Willingness To Pay Estimationmentioning

confidence: 99%

“…OLS regression is chosen to highlight the comparative results of WTP estimation. Compared with other regression methods, OLS is primitive and simple (Cameron and Huppert 2006;Cheng et al, 2022). It selects the midpoint value of each interval as the true WTP of the respondents as the dependent variable.…”

Section: Willingness To Pay Estimationmentioning

confidence: 99%

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Estimating farmers’ willingness to pay for photovoltaic industry to improve agricultural green resources and environment

Khan

et al. 2022

Front. Environ. Sci.

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Based on the consideration of the level of the regional radiation effect of the photovoltaic industry, four main regions were selected as case sites in Pingluo County, Ningxia Province, for this research. The study used the double-bound dichotomous CVM model and C-optimal design to revise the bidding value of the payment scheme that reduced the WTP range error. Five independent sub-sample questionnaires, including seven bidding value payment schemes, along with four internal range tests and six external range tests, were designed. The results showed that the comparison of the WTP for the improvement of agricultural resources and the environment among different independent sub-samples in the same region passed the external quantitative scope test, indicating that the questionnaire design, survey implementation, and WTP estimation results of the double-bound dichotomous CVM in this study were reliable. Saturation degree, diminishing marginal utility, and substitution effect are the main influencing factors of low marginal WTP added value and embedding effect. When the quantity range changes, the utility of respondents tends to saturate and marginal utility rapidly decreases. Influenced by the aforementioned factors, the sum of the independent estimates of the respondents on the WTP for the improvement of agricultural green resources and environment of the photovoltaic industry in the four research areas is 3.04 times the average value of the overall estimates of the four areas. In order to obtain and maintain the local photovoltaic industry for agricultural production resources and environmental improvement, the average WTP of each respondent was 99.80 yuan per year.

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Section: Willingness To Pay Estimationmentioning

confidence: 99%

Section: Willingness To Pay Estimationmentioning

confidence: 99%

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Estimating farmers’ willingness to pay for photovoltaic industry to improve agricultural green resources and environment

Khan

et al. 2022

Front. Environ. Sci.

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“…Many scholars have conducted substantial research on the factors that influence farmers' participation in rural living environment improvement, mainly focusing on the following three aspects: first, as for the factors of government, some scholars have pointed out that insufficient government financial support [6], the promotion of urbanization and community harmony [7], community officials' conflicted roles [3], new social networks of trust at the local level [8], the inadequate institutional mechanism of rural environmental governance [9,10] and innovation and technology adoption effects of past environmental policies [11] are factors that affect farmers' participation in living environment improvement. Second, for the factors of the village, some scholars consider the improvement measures at a village level and community participation [12], the distance between villages and county towns [13,14], village scale and residential density as factors influencing farm households' participation in living environmental improvement. Third, for the factors of farmers, some studies based on the theory of planned behavior have explored that farmers' willingness to pay and the payment level to participate in environmental improvement [15], the level of farmers' per capita income [16] and the level of environmental protection awareness [17] can have a positive impact on farmers' participation in rural living environment improvement.…”

Section: Review Of the Literaturementioning

confidence: 99%

The Influence of Farmers’ Clan Networks on Their Participation in Living Environment Improvement during the Time of Transition in Traditional Rural China

Xia

2023

Agriculture

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Farmers’ participation in public affairs is the combined effect of informal and formal institutions. In order to improve the current situation of low willingness of Chinese farmers to participate in living environment improvement, and to enhance the motivation of farmers and the effectiveness of living environment improvement, this paper incorporates the clan network in the informal institution and the perceivable authority of village chiefs in the formal institution into a unified analytical framework, divides the clan network into two dimensions (scale and strength) and explores the influence of the clan network and the perceivable authority of village chiefs on farmers’ participation in rural living environment improvement. Finally, an empirical test is conducted using survey data from 683 farming households in the provinces of Henan, Shaanxi and Sichuan. The results show that the strength of the clan network and the perceivable authority of the village chiefs have a significant positive effect on the farmers’ participation in rural living environment improvement, while the scale of the clan network does not have a significant effect on farmers’ behavior. The perceivable authority of the village chief has a positive moderating effect between the clan network and farmers’ participation in rural living environment improvement, while the heterogeneity analysis shows that the positive effect of the clan network on farmers’ participation in the rural living environment is reduced for those who have worked outside, far away from the village. It is suggested that the protection of traditional clan relations should be emphasized, and the positive role of clan agents and their influence should be effectively utilized in promoting the improvement of the rural living environment at the grassroots level. Moreover, it is necessary to carry out timely training of professional knowledge and skills for grassroots leaders, propagandize and interpret policies, thus increasing the enthusiasm of farmers to participate in the improvement of the rural living environment.

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“…From the perspective of spatial distance, a greater spatial distance between the parties in a transfer implies higher transaction costs and more effort needed to address incomplete and asymmetric information [24]. Firstly, communication becomes limited.…”

Section: Analytical Frameworkmentioning

confidence: 99%

Clan Networks, Spatial Selection, and Farmland Transfer Contracts: Evidence from China

Hong,

Long,

Zhuo

2023

Land

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Contracts play a crucial role in the reform of land markets and the process of farmland transfer. This study examines how spatial distance and clan networks impact the choice of farmland transfer contracts based on micro-level survey data from farmer households in China. Our research findings offer valuable insights into the role of contracts as a governance tool in land market reform and provide important implications for policymakers and stakeholders. In this study, we reveal that spatial distance significantly influences the selection of farmland transfer contracts. When farmers face long spatial distances, they tend to prefer written contracts to regulate the transfer relationship. This preference helps to mitigate information asymmetry and cooperation risks, ensuring a more secure and efficient transfer process. Additionally, our findings show that clan networks also play a significant role in the choice of farmland transfer contracts. Strong clan networks in high-density areas often have well-defined social norms and codes of conduct. As a result, farmers in these areas are more likely to opt for written contracts, which provide a formalized framework for governing farmland transfers. Furthermore, the density of the clan network acts as a moderator in the relationship between spatial distance and contract choice. A dense clan network intensifies the influence of spatial distance on contract choice, especially when dealing with long spatial distances. This suggests that social networks and community dynamics play a crucial role in shaping farmers’ contract preferences in farmland transfer. In conclusion, this study highlights the importance of contracts as a governance tool in land market reform and provides insights into the influence of spatial distance and clan networks on the choice of farmland transfer contracts. Policymakers and stakeholders involved in land market reforms should consider the findings of this study when designing policies and interventions. By understanding the dynamics surrounding farmland transfer, policymakers can develop more effective strategies to promote secure and efficient land transactions in the context of market-oriented reforms.

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What are the impacts of livelihood capital and distance effect on farmers' willingness to pay for coastal zone ecological protection? Empirical analysis from the Beibu Gulf of China

Cited by 14 publications

References 68 publications

Estimating farmers’ willingness to pay for photovoltaic industry to improve agricultural green resources and environment

Estimating farmers’ willingness to pay for photovoltaic industry to improve agricultural green resources and environment

The Influence of Farmers’ Clan Networks on Their Participation in Living Environment Improvement during the Time of Transition in Traditional Rural China

Clan Networks, Spatial Selection, and Farmland Transfer Contracts: Evidence from China

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