Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bhat, Mudaser Ahad; Laloo, Bamerishisha; Wani, Farhana; Kumar, Altaf Ahmad; M, Savithri; Hassan, Junaid Title A name given to the resource What drives fish production Climatic indicators or economic indicators? Empirical evidence from India Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Journal of Agribusiness in Developing and Emerging Economies;pp.1-19 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/JADEE-01-2025-0044" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/JADEE-01-2025-0044</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030603943?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030603943?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhat M.A., Higher Education Department of Jammu &amp; Kashmir, GDC Khansahib, Budgam, India; Laloo B., Department of Data Science, CHRIST (Deemed to be University) - Pune Lavasa Campus, Lavasa, India; Wani F., Central University of Kashmir, Ganderbal, India; Kumar A.A., Department of Economics, Akal University, Bathinda, India; M S., Department of Data Science, CHRIST (Deemed to be University) - Pune Lavasa Campus, Lavasa, India; Hassan J., School of Management and Commerce, Sanskriti University, Mathura, India Description An account of the resource Purpose This study examined the relative roles of climate and economic factors in driving fish production across Indian states from 2000 to 2020, with a disaggregated focus on inland and marine systems. It also explored the multivariate causal relationships between fish production, CO2 emissions, temperature, rainfall, GDP and fish consumption. Design/methodology/approach To investigate the interactions between fish production, climatic and economic indicators, we used two novel techniques, namely a two-stage instrumental variable approach (2SIV) and a JKS causality test. Findings Results showed that rising temperatures and carbon dioxide emissions significantly reduce fish production, while rainfall, state GDP and per capita fish consumption enhance it. A disaggregated analysis revealed that all variables of interest had a considerable effect on marine fish production, comparable with the results for overall production; however, rainfall has a negligible effect on inland fish production. This discrepancy reflects system-specific dynamics: monsoonal rainfall has a direct impact on marine fisheries through nutrient enrichment and stock availability, whereas inland aquaculture is predominantly influenced by managed economic inputs rather than rainfall variability. Furthermore, the findings demonstrated that marine production is more sensitive to climatic factors, whereas inland production is more elastic to economic variables. The JKS test revealed that incorporating climatic and economic indicators improves the accuracy of fish production predictions than relying solely on its past values. Research limitations/implications For the foreseeable future, these findings have significant policy ramifications. In addition to strengthening water resource management and encouraging climate-resilient practices, fisheries departments should allocate a larger percentage of their GDP to infrastructure development. Additional stimulation of production can be achieved by demand-side measures like nutrition campaigns and the inclusion of fish in public food programs. To maintain the sustainable growth of both marine and inland fisheries, a comprehensive policy framework that concurrently addresses climatic, economic and consumer aspects is necessary in light of the established multivariate causation. Finally, it is prudent for policymakers and other stakeholders to adopt climate-adaptive strategies for marine fisheries and direct investments and technological support towards inland aquaculture to align interventions with system-specific production drivers. Originality/value We contribute to the literature by integrating annual data for an empirical analysis across 32 Indian states and union territories. In addition, this study empirically disentangles the system-specific dynamics of Indian inland and marine fisheries. This aspect is often overlooked in existing literature because fisheries are often portrayed as a homogeneous industry. Moreover, the paper offers actionable insights for designing ecologically appropriate fisheries policies, while advancing academic debates on climateeconomyproduction relationships. 2026 Emerald Publishing Limited Subject The topic of the resource A10; Carbon dioxide; Fish consumption; Fish production; J40; JKS Granger causality test; Mean temperature; O5 Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISSN: 20440839; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online