2011
DOI: 10.1016/j.jenvman.2010.10.040
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Preventing land loss in coastal Louisiana: Estimates of WTP and WTA

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Cited by 33 publications
(14 citation statements)
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References 12 publications
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“…The marginal effect shows that an increase of 10,000 RMB (1 RMB ≈ 0.17 USD) in net household income decreases participation probability by three percentage points. This result differs from the positive impact reported by Ghosh and Mondal [17] and Petrolia and Kim [23]. This finding may be attributed to the fact that farmers with higher net household incomes tend to be non-cropping households and their main income sources are non-agricultural activities (the correlation between household net income and non-agricultural income is about 0.97).…”
Section: Resultscontrasting
confidence: 75%
See 1 more Smart Citation
“…The marginal effect shows that an increase of 10,000 RMB (1 RMB ≈ 0.17 USD) in net household income decreases participation probability by three percentage points. This result differs from the positive impact reported by Ghosh and Mondal [17] and Petrolia and Kim [23]. This finding may be attributed to the fact that farmers with higher net household incomes tend to be non-cropping households and their main income sources are non-agricultural activities (the correlation between household net income and non-agricultural income is about 0.97).…”
Section: Resultscontrasting
confidence: 75%
“…For example, while Söderqvist [15] shows that age has no impact on wetland restoration decisions, Petrolia and Kim [23] find a positive impact, and Ghosh and Mondal [17] and Zhang et al [20] find a negative impact. Our results also suggest that age has no significant influence on farmers' willingness to participate in wetland restoration in our sample.…”
Section: Resultsmentioning
confidence: 99%
“…There is a vast literature examining individual participation decisions in environmental incentive programs (see, for example, Defrancesco et al., ; Dhakal, et al., ; Herman, ; Hynes and Garvey, ; Ma et al., , Pattison et al., ). Some of the studies in the literature identify factors affecting decisions to participate in wetland creation or restoration (Dedah, ; Söderqvist, ; Yu and Belcher, ; Zhang et al., ), while others address the farmers’ willingness to pay (WTP) or willingness to accept (WTA) for wetlands services (Ambastha et al., ; Lant and Roberts, ; Loomis, ; Whitehead and Blomquist, ; Petrolia and Kim, ; Kim and Petrolia, ). Despite the scale and the serious consequences of Poyang Lake wetland destruction in China, it received little attention in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…, Das and Crépin (2013) and Das and Vincent (2009), mangroves, India Barbier (2007Barbier ( , 2012, Barbier et al (2008) and Sathirathai and Barbier (2001), mangroves, Thailand Barbier and Enchelmeyer (2014) and Barbier et al (2013), marsh, SE Louisiana, US Chong (2005), mangroves and coral reefs, various regions Costanza et al (2008), marsh, US Atlantic and Gulf Coasts Farber (1987), marsh, Louisiana, US King and Lester (1995) and Mangi et al (2011), marsh, United Kingdom Landry et al (2011), coastal wetland restoration, US Laso Bayas et al (2011), mangroves, Aceh, Indonesia Petrolia and Kim (2009), barrier islands, Mississippi, US Petrolia and Kim (2011) and Kim and Petrolia (2013), marsh, Louisiana, US Petrolia et al (2014), coastal wetland and barrier island restoration, Louisiana, US Pompe and Rinehart (1994), beaches, South Carolina, US Wilkinson et al (1999), coral reefs, Indian Ocean…”
mentioning
confidence: 99%