Linkage Models: Economic Key Drivers and Agricultural Production

Chandrasekar Vuppalapati
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Chandrasekar Vuppalapati: San Jose State University

Chapter Chapter 9 in Artificial Intelligence and Heuristics for Enhanced Food Security, 2022, pp 699-785 from Springer

Abstract: Abstract This chapter introduces the linkage models that explain the relationship among agricultural production, macroeconomic variables, co-movement variables, and farm inputs such as labor and fertilizer costs. The chapter deep dives on each of the important linkage model variables and explains its relation to machine learning models developed in the chapter. Additionally, it explains the food-versus-fuel conundrum and the role it plays in food security. Next, the chapter introduces the linkage models for two use cases: the Australia Macroeconomic Drivers and Sugarcane Production Predictive Model and Myanmar’s Macroeconomic Drivers and Rice Production Predictive Model. Finally, the chapter concludes with highly influential exogenous weather variable on multifaceted weather variable and implications of severe weather on global commerce and food security.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-08743-1_9

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DOI: 10.1007/978-3-031-08743-1_9

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