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Manufacturing Agrarian Change - Agricultural production, inter-sectoral learning and technological capabilities

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  • Antonio Andreoni

Abstract

The aim of this paper is to investigate how industrial development, manufacturing in particular, has been contributing to agrarian change. In order to address this issue, it analyzes the technical bases and structural specificities – i.e. time and scale constraints – of agricultural production. Technical change in agriculture involves both improvements in organic transformation processes – i.e. biological production – and in the mechanical functions that have to be performed for obtaining a certain output – i.e. agricultural work. The paper shows how in-farm technological capabilities building as well as inter-sectoral learning are necessary in order to acquire and adapt biological-chemical innovations and mechanical technologies. The analysis of agrarian technical change – both in-farm learning and inter-sectoral learning – is developed by integrating peasant studies with evolutionary approaches to economic development. The relationship between agrarian change and manufacturing development is highly context specific, thus comparative historical analysis is adopted in order to shed light on the abovementioned processes of learning. Building on the analysis of technological change in agriculture, the last part of the paper will focus on those transformative policies such as innovative ‘extension services’ which facilitate inter-sectoral learning and, in turn, allow the emergence of inter-sectoral commons. This concept identifies that specific bundle of technological capabilities which concentrate in certain areas of strong inter-sectoral interdependence as a result of inter-sectoral learning.

Suggested Citation

  • Antonio Andreoni, 2011. "Manufacturing Agrarian Change - Agricultural production, inter-sectoral learning and technological capabilities," DRUID Working Papers 11-13, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
  • Handle: RePEc:aal:abbswp:11-13
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    Cited by:

    1. Andreoni, Antonio, 2014. "Structural learning: Embedding discoveries and the dynamics of production," Structural Change and Economic Dynamics, Elsevier, vol. 29(C), pages 58-74.
    2. Joao Gaspar & Gilson Pina & Marta Simoes, 2014. "Agriculture in Portugal: linkages with industry and services," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 95(4), pages 437-471.
    3. Nerini, Francesco Fuso & Andreoni, Antonio & Bauner, David & Howells, Mark, 2016. "Powering production. The case of the sisal fibre production in the Tanga region, Tanzania," Energy Policy, Elsevier, vol. 98(C), pages 544-556.
    4. Avinash Gupta, 2018. "Mechanization in Nepalese agriculture : Potential knowledge gaps and significance," Working Papers wp/18/03, South Asia Watch on Trade, Economics and Environment.

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    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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