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Zeeshan

Biographic Data

ID2949034
NAMEZeeshan
FAMILY NAMEZeeshan
SIGNATUREZEESHAN
AFFILIATIONSDepartment of Economics and Finance Birla Institute of Technology and Science Pilani India
ORCID0000-0002-0790-2168
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS5
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX1
  • How access to non‐farm income affects farm investment in rural India

    Open Access•Zeeshan, Zeeshan Zeeshan et al.•ARTICLE•Journal of Public Affairs•2021•References: 5

    This study examines the impact of non‐farm income on farm investment using a nationally representative dataset of 35,200 farm households in rural India. We find a heterogeneous effect of non‐farm participation on farm investment. Unconditional Quantile Regression (UQR) method has been applied to check whether farm investment differs between households with and without access to non‐farm incomes at diverse levels of farm investment quantiles. We f…

  • Dynamics of poverty and its determinants in rural India

    Open Access•Zeeshan, Zeeshan Zeeshan et al.•ARTICLE•Journal of Public Affairs•2021•Cited by: 1•References: 18

    This study examined the determinants of unidimensional and multidimensional poverty among the farm households of rural India, using the data of India Human Development Surveys conducted in 2004–2005 and 2011–2012. We found a significant reduction in poverty among these households over this period. However, this reduction was not uniform across different sub‐groups of the farm households. Our findings confirm that the important factors of poverty …

  • How Farm Household Spends Their Non-farm Incomes in Rural India? Evidence from Longitudinal Data

    Open Access•Zeeshan, Zeeshan Zeeshan et al.•ARTICLE•European Journal of Development…•2021•References: 20

  • Caste, land ownership and agricultural productivity in India

    Riyazuddin Khan, Mohammad Imdadul Haque et al.•ARTICLE•Development in Practice•2021•Cited by: 4•References: 21

    This article examines the relationship between caste, land ownership and agricultural productivity in India, utilising data from a large-scale survey of farm households. Access to resources like information, technology, inputs, markets, and support institutions are important for sustainable and inclusive growth of agriculture. The results indicate that socially disadvantaged households (Scheduled Castes and Scheduled Tribes) have lower access to …

  • Caste, land ownership and agricultural productivity in India

    Riyazuddin Khan, Mohammad Imdadul Haque et al.•ARTICLE•Development in Practice•2021•Cited by: 4•References: 21

    This article examines the relationship between caste, land ownership and agricultural productivity in India, utilising data from a large-scale survey of farm households. Access to resources like information, technology, inputs, markets, and support institutions are important for sustainable and inclusive growth of agriculture. The results indicate that socially disadvantaged households (Scheduled Castes and Scheduled Tribes) have lower access to …

  • Dynamics of poverty and its determinants in rural India

    Open Access•Zeeshan, Zeeshan Zeeshan et al.•ARTICLE•Journal of Public Affairs•2021•Cited by: 1•References: 18

    This study examined the determinants of unidimensional and multidimensional poverty among the farm households of rural India, using the data of India Human Development Surveys conducted in 2004–2005 and 2011–2012. We found a significant reduction in poverty among these households over this period. However, this reduction was not uniform across different sub‐groups of the farm households. Our findings confirm that the important factors of poverty …

  • How access to non‐farm income affects farm investment in rural India

    Open Access•Zeeshan, Zeeshan Zeeshan et al.•ARTICLE•Journal of Public Affairs•2021•References: 5

    This study examines the impact of non‐farm income on farm investment using a nationally representative dataset of 35,200 farm households in rural India. We find a heterogeneous effect of non‐farm participation on farm investment. Unconditional Quantile Regression (UQR) method has been applied to check whether farm investment differs between households with and without access to non‐farm incomes at diverse levels of farm investment quantiles. We f…

  • Dynamics of poverty and its determinants in rural India

    Open Access•Zeeshan, Zeeshan Zeeshan et al.•ARTICLE•Journal of Public Affairs•2021•Cited by: 1•References: 18

    This study examined the determinants of unidimensional and multidimensional poverty among the farm households of rural India, using the data of India Human Development Surveys conducted in 2004–2005 and 2011–2012. We found a significant reduction in poverty among these households over this period. However, this reduction was not uniform across different sub‐groups of the farm households. Our findings confirm that the important factors of poverty …

  • How Farm Household Spends Their Non-farm Incomes in Rural India? Evidence from Longitudinal Data

    Open Access•Zeeshan, Zeeshan Zeeshan et al.•ARTICLE•European Journal of Development…•2021•References: 20

  • Caste, land ownership and agricultural productivity in India

    Riyazuddin Khan, Mohammad Imdadul Haque et al.•ARTICLE•Development in Practice•2021•Cited by: 4•References: 21

    This article examines the relationship between caste, land ownership and agricultural productivity in India, utilising data from a large-scale survey of farm households. Access to resources like information, technology, inputs, markets, and support institutions are important for sustainable and inclusive growth of agriculture. The results indicate that socially disadvantaged households (Scheduled Castes and Scheduled Tribes) have lower access to …

Agricultural risk and resilience (4 works) · Economics (4 works) · Agricultural economics (3 works) · Business (3 works) · Economic growth (3 works) · Geography (3 works) · Agricultural Innovations and Practices (2 works) · Agriculture (2 works) · Caste (2 works) · Demographic economics (2 works)

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