2021
DOI: 10.1007/s10333-021-00843-w
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Crop diversification: determinants and effects under paddy-dominated cropping system

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Cited by 7 publications
(2 citation statements)
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“…Interestingly, the results highlight contrasting effects generated by livelihood assets on livelihood strategies and livelihood outcomes. Consistently with previous studies (i.e., Deressa et al, 2009;Bahinipati and Venkatachalam, 2015;Malaiarasan et al, 2021), the current study shows that the presence of animals on the farm (physical capital), the extension of cultivated land (natural capital) and the access to informal sources of credit (financial capital) positively influence the adoption of a strategy focused on varietal diversification of rice and wheat, although the effect of these assets is negative on the yield change (livelihood outcome). Female-headed households are less likely to increase genetic diversity of rice in their fields, in fact they are associated with negative yield changes, even if they show positive levels of recovery capacity.…”
Section: Discussionsupporting
confidence: 89%
“…Interestingly, the results highlight contrasting effects generated by livelihood assets on livelihood strategies and livelihood outcomes. Consistently with previous studies (i.e., Deressa et al, 2009;Bahinipati and Venkatachalam, 2015;Malaiarasan et al, 2021), the current study shows that the presence of animals on the farm (physical capital), the extension of cultivated land (natural capital) and the access to informal sources of credit (financial capital) positively influence the adoption of a strategy focused on varietal diversification of rice and wheat, although the effect of these assets is negative on the yield change (livelihood outcome). Female-headed households are less likely to increase genetic diversity of rice in their fields, in fact they are associated with negative yield changes, even if they show positive levels of recovery capacity.…”
Section: Discussionsupporting
confidence: 89%
“…The environmental attitudes questions were found not to influence CD in preliminary analyses, and not used in any subsequent analysis. Total income and non-agricultural income were coded as dummy variables (similar to [55]), as the different levels represented answers with differing amounts of uncertainty (e.g., RMB 10,000-25,000 vs. RMB 50,000-100,000). Village was also added as a fixed effect.…”
Section: Analysis and Empirical Modelmentioning
confidence: 99%