2021
DOI: 10.1007/s43546-021-00166-2
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Asymmetric effects of cereal crops on agricultural economic growth: a case study of India

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Cited by 8 publications
(3 citation statements)
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“…If there is co-integration among variable found then the asymmetry price transmission of (5), and (6) can be discussed in the short-run and long-run. The estimated findings of Eq ( 5 ) and ( 6 ) can be examined through the Wald test [ 44 ] to determine the possible asymmetric effect of independent variables on the dependent variable. After identifying the presence of long- and short-term asymmetric effects on research variables, we utilize a variety of diagnostic tests to evaluate the robustness of our findings.…”
Section: Data Description and Econometric Methodologymentioning
confidence: 99%
“…If there is co-integration among variable found then the asymmetry price transmission of (5), and (6) can be discussed in the short-run and long-run. The estimated findings of Eq ( 5 ) and ( 6 ) can be examined through the Wald test [ 44 ] to determine the possible asymmetric effect of independent variables on the dependent variable. After identifying the presence of long- and short-term asymmetric effects on research variables, we utilize a variety of diagnostic tests to evaluate the robustness of our findings.…”
Section: Data Description and Econometric Methodologymentioning
confidence: 99%
“…Agboola et al ( 2022 ) conducted a study on Nigeria and found that various components of agricultural production boost economic growth. In Bansal et al ( 2021 ), agricultural growth was found as the end product of certain agricultural production decisions which then boosts economic growth. In the case of Benin, Chabi Simin Najib et al ( 2022 ) found that agricultural production exerts a positive influence on economic growth.…”
Section: Review Of Related Literaturementioning
confidence: 99%
“…As a result of the study, the financial incentives provided in the agricultural sector did not have a significant effect on the development of the agricultural sector in the long term; however, economic growth positively affected the development of the agricultural sector. Bansal et al (2021) used nonlinear autoregressive distribution lag (NARDL) and Granger causality test in their study in which they examined the effects of rice, wheat, and maize crop production on agricultural growth in India. The NARDL model indicated that in the long run, positive and negative shocks in maize and rice production and a positive shock in wheat production were positively correlated with agricultural growth.…”
Section: Introductionmentioning
confidence: 99%