 Agriculture Employment and the Role of AI in Improving ProductivityChandrasekar Vuppalapati ()
Chapter Chapter 6 in Machine Learning and Artificial Intelligence for Agricultural Economics, 2021, pp 429-478 from Springer Abstract: Abstract Explanations on the importance of the agricultural sector in the economy as economic growth progresses have benefitted greatly from the dual sector theory of Arthur Lewis. In this theory, the modern service or industrial sector utilizes the surplus labor in the agricultural or primary sector as its source of growth, along with the capital generated by the investment of savings, to expand its production and thus the gross output of the economy [1]. As the services or industrial (modern) sector expands in importance, there is a concomitant reduction in the percentage contribution to gross output by the agricultural sector (please see Table 6.1). This growth process thus generally requires the movement of labor from rural areas to urban areas with a decline of the rural population as a percentage of the national population. Paradoxically, the rural population and percentage of agriculture employment to total employment play an important role in the growth of agriculture. In the following figure, you can observe employment change trend in the agriculture (decline) and service industries (increase). Date: 2021 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-77485-1_6 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-77485-1_6 Access Statistics for this chapter More chapters in International Series in Operations Research & Management Science from Springer |
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