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Restructuring State Intervention Strategies towards Chickpea Production Development in India—Application of Structural Equation Modeling (SEM)

1
National Institute of Agricultural Extension Management (MANAGE), Ministry of Agriculture and Farmers’ Welfare, Rajendranagar, Hyderabad 500030, India
2
Department of Agri-Business, University of California, Fresno, CA 93740, USA
3
The International Food Policy Research Institute (IFPRI), Washington, DC 20005, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Michael S. Carolan
Sustainability 2021, 13(18), 10283; https://doi.org/10.3390/su131810283
Received: 12 August 2021 / Revised: 6 September 2021 / Accepted: 6 September 2021 / Published: 15 September 2021
Structural equation modeling (SEM) was employed to analyze the influence of exogenous variables (research and extension (RE), marketing aspects (MA), and infrastructure development (ID)) on the endogenous variable chickpea production development (CPD) to restructure policy interventions in India. Results of the measurement model revealed that all the latent variables have construct validity (both convergent validity and discriminant validity) and composite reliability. Confirmatory factor analysis revealed that all indicators of both exogenous and endogenous variables are significant. Yield-increasing production technologies (PT), minimum support prices (MSP), and storage structures (SS) and the three exogenous variables (research and extension, marketing, and infrastructure development) are the strongest indicators. For the endogenous variable CPD, remunerative prices (RP) is the strongest indicator and also serves as a driving force for other indicators. The results of the structural model revealed that RE is the most effective construct followed by ID and MA, and they cumulatively explained 89 percent of the total variation in CPD. Among these three constructs, MSP is the key indicator of MA with the highest loading factor (0.799), and hence it should be given the highest priority for promoting CPD in India. View Full-Text
Keywords: chickpea production development; exogenous variables; endogenous variable; indicator variables; structural equation modeling; confirmatory factor analysis; convergent validity; discriminant validity; construct reliability chickpea production development; exogenous variables; endogenous variable; indicator variables; structural equation modeling; confirmatory factor analysis; convergent validity; discriminant validity; construct reliability
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MDPI and ACS Style

Kumar, K.N.R.; Konduru, S.; Chandrasekhara, P.; Babu, S.C. Restructuring State Intervention Strategies towards Chickpea Production Development in India—Application of Structural Equation Modeling (SEM). Sustainability 2021, 13, 10283. https://doi.org/10.3390/su131810283

AMA Style

Kumar KNR, Konduru S, Chandrasekhara P, Babu SC. Restructuring State Intervention Strategies towards Chickpea Production Development in India—Application of Structural Equation Modeling (SEM). Sustainability. 2021; 13(18):10283. https://doi.org/10.3390/su131810283

Chicago/Turabian Style

Kumar, K. N.R., Srinivasa Konduru, P. Chandrasekhara, and Suresh C. Babu 2021. "Restructuring State Intervention Strategies towards Chickpea Production Development in India—Application of Structural Equation Modeling (SEM)" Sustainability 13, no. 18: 10283. https://doi.org/10.3390/su131810283

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