Bio-Based and Applied Economics 2020
DOI: 10.13128/bae-8931
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Determinants of Farm Households’ Willingness to Accept (WTA) Compensation for Conservation Technologies in Northern Ghana

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Cited by 5 publications
(3 citation statements)
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“…However, the significance of compensation factors may vary based on the level of confidence. In order to investigate the willingness of displaced households to accept paid compensation, Ahiale [58] adopted probit analysis, which involves responses in the form of "yes" or "no." The characteristics of a household, including household income, education, age, gender, family size, and location, play a significant role in shaping their inclination to accept compensation in cases of loss or damage [59].…”
Section: Significant Predictors Of Compensation Acceptancementioning
confidence: 99%
“…However, the significance of compensation factors may vary based on the level of confidence. In order to investigate the willingness of displaced households to accept paid compensation, Ahiale [58] adopted probit analysis, which involves responses in the form of "yes" or "no." The characteristics of a household, including household income, education, age, gender, family size, and location, play a significant role in shaping their inclination to accept compensation in cases of loss or damage [59].…”
Section: Significant Predictors Of Compensation Acceptancementioning
confidence: 99%
“…Common findings are that farmers prefer shorter contract durations and are averse to lengthy application procedures as well as intensive monitoring requirements during the contract period. Respondent characteristics can also increase or decrease the amount people are willing to accept to participate in potential conservation programs, including the difficulty of participating, previous participation in conservation programs, public recognition, technical help availability, income, land area, productivity of the land, and, of particular interest here, general measures of how trusting respondents are, trust of neighbors, and trust of program administers (Palm-Forster and Swinton 2017; Xiong and Kong 2017;He and Zhang 2018;Ahiale and Balcombe 2019;Mutandwa and Grala 2019;Wang et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Empirical evidence from the literature corroborates the earlier assertion that adoption of CSPs are generally low in Nigeria, usually between 15.5% -40.6% (Shittu et al, 2018) while the adoption rate for water harvesting, irrigation, and terraces are 15%, 10%, and 30% respectively (Onyeneke et al, 2018). They attributed the low adoption to a very weak agricultural extension service delivery system across various states in Nigeria and also to the need for more capital, lack of technical know-how, low potential for irrigation and most importantly present markets cannot accurately account for the value of the environmental benefits that CSA delivers (Ahiale et al, 2020;Shittu et al, 2018). Gleaning through the literature, some of the factors driving the adoption of the CSPs among smallholders in Nigeria include education, income, credit, extension services, livestock ownership, farming experience, farm size, distance to market and water resources, gender, land ownership, household size, and mass media exposure among others (Oyawole et al, 2020;Amadu et al;Aryal et al, 2018).…”
mentioning
confidence: 99%