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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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STRATEGIES TO ACHIEVE TECHNOLOGY TRANSFER FROM FOREIGN COMPANIES TO LOCAL COMPANIES IN MEXICO TO INCREASE REAL INCOME AND EMPLOYMENT

Authors: Omolara Adebimpe Adekanbi;

STRATEGIES TO ACHIEVE TECHNOLOGY TRANSFER FROM FOREIGN COMPANIES TO LOCAL COMPANIES IN MEXICO TO INCREASE REAL INCOME AND EMPLOYMENT

Abstract

This research examines strategies to enhance technology transfer from foreign companies to local businesses in Mexico to boost income and employment. Despite significant foreign direct investment (FDI), Mexico has seen limited improvements in wages and high-skill job opportunities. The study will find solutions to identified problems including the dominance of foreign firms, which contribute to these challenges. Using a combination of qualitative and quantitative methods, the research will collect data from 15 local and foreign companies, focusing on patent purchases, staff qualifications, and intellectual property charges. A Structural Equation Model (SEM) will be used to analyze the relationships between education, human capital, and firm performance in facilitating technology transfer. The findings will inform policy recommendations to improve local productivity, wages, and Mexico's competitiveness in the global economy.

Keywords

O33, J21, O40, F21, F23, J31, E24,, O47

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average