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Assessing the technology contribution to value added

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  • Fernandes, António S.C.

Abstract

Technology and knowledge are two key components for economic growth; however, the two concepts are not consensually defined. This paper proposes a model to assess and quantify the technology contribution to the value-adding process. The methodological approach implied building an operational concept for technology that is independent of the concepts of knowledge and capital. As such, technology could be interpreted and quantified as an input parameter in a new production model. This model interprets and assesses, separately, the value contributions of the uses of technology, of knowledge and of capital in a production process, defining the Technology Index for that process. The model is applied to manufacturing sectors of seven European countries, quantifying their respective dependences on technology. A comparison of the Technology Index proposed here is made with the OECD's Technology Intensity factor, arguing that the former reflects the technology dependence better that the latter. Accordingly, a criterion for classifying the economic sectors' dependence on technology is proposed. A main contribution from this study is an objective classification criterion for technology dependence of firms and economic sectors. It also provides an easy benchmark procedure for knowledge and capital dependence between firms and sectors.

Suggested Citation

  • Fernandes, António S.C., 2012. "Assessing the technology contribution to value added," Technological Forecasting and Social Change, Elsevier, vol. 79(2), pages 281-297.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:2:p:281-297
    DOI: 10.1016/j.techfore.2011.05.010
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    Cited by:

    1. Kai CHEN & Roxana STEGEREAN & Razvan Liviu NISTOR, 2018. "Value Creation And Value Added In Blockchain Technology," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(1), pages 862-878, November.
    2. Bogdanov, Dmitrii & Toktarova, Alla & Breyer, Christian, 2019. "Transition towards 100% renewable power and heat supply for energy intensive economies and severe continental climate conditions: Case for Kazakhstan," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Tânia Cristina CHIARELLO & Caroline Sulzbach PLETSCH & Alini DA SILVA & Tarcísio Pedro DA SILVA, 2014. "Financial Performance, Intangible Assets And Value Creation Of Brazilian And Chilian Companies Of Information Technology," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 23(4), pages 73-88.
    4. Schwerhoff, Gregor & Sy, Mouhamadou, 2017. "Financing renewable energy in Africa – Key challenge of the sustainable development goals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 393-401.
    5. Joseph DiGrazia, 2017. "Using Internet Search Data to Produce State-level Measures: The Case of Tea Party Mobilization," Sociological Methods & Research, , vol. 46(4), pages 898-925, November.
    6. Martínez-Caro, Eva & Cegarra-Navarro, Juan Gabriel & Alfonso-Ruiz, Francisco Javier, 2020. "Digital technologies and firm performance: The role of digital organisational culture," Technological Forecasting and Social Change, Elsevier, vol. 154(C).

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