2017
DOI: 10.3390/su9030366
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Identification of Non-economic Influencing Factors Affecting Farmer’s Participation in the Paddy Landto-Dry Land Program in Chicheng County, China

Abstract: Abstract:There is global enthusiasm for payments for ecosystem services (PES) programs to solve environmental problems, including in China. However, PES programs in China go against the principle of 'voluntary transaction', which weakens the influences of economic factors on farmers' participation decisions and makes it hard to reveal their influence on farmers' participation willingness. Using household survey data and a logistic regression model, this study attempts to understand the influencing factors of f… Show more

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Cited by 11 publications
(9 citation statements)
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“…In the context of our analysis, few papers study this factor, and they use different proxies, i.e., farmer's perception of his/her role in the society [134,156,170], the influence of peers [115,159,170], and appreciation by neighbours [143]. These few papers find positive effects on the adoption of EFFPs in NE, SE, SA, and AS [115,134,143,156]. In OC [159], influence by peers negatively affects the willingness to adopt EFFPs only among those farmers whose behaviour is mainly driven by stewardship, lifestyle, and social motivations.…”
Section: Social Factorsmentioning
confidence: 99%
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“…In the context of our analysis, few papers study this factor, and they use different proxies, i.e., farmer's perception of his/her role in the society [134,156,170], the influence of peers [115,159,170], and appreciation by neighbours [143]. These few papers find positive effects on the adoption of EFFPs in NE, SE, SA, and AS [115,134,143,156]. In OC [159], influence by peers negatively affects the willingness to adopt EFFPs only among those farmers whose behaviour is mainly driven by stewardship, lifestyle, and social motivations.…”
Section: Social Factorsmentioning
confidence: 99%
“…Conversely, in AF, a high total family income facilitates the adoption of EFFPs which negatively impact on the farm income, like soil conservation practices [12,83,96], or low-input farming systems [149]. Regardless of geographical context, most of the authors explain the positive effect of total family income by considering that income from off-farm activities reduces the risk from adopting EFFPs [13,113,134,150].…”
mentioning
confidence: 99%
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“…There is convergence of data that participants with a higher level of existing income and a more diversified income base are more likely to take up PES programmes (e.g. Hedge 2012;Yuan 2017;Beauchamp 2015).…”
Section: Analytical Theme 4: Factors To Determine Programme Take Up (mentioning
confidence: 99%
“…It may be partly due to different economic development and social welfare levels as well as development interests resulting in the different views on the use of water, land and other natural resources [46,80]. Therefore, the economic valuation of restoring ES in the MRC area could be best estimated by the use of the two separate equations for Beijing and Hebei area rather than one pooled equation.…”
Section: Llr Testmentioning
confidence: 99%