The increasing availability of external data in the realm of big data significantly impacts the operations and performance of businesses. In this study, we focus on Earth Observation (EO) technology, which supplies an extensive range of data related to Earth’s chemical, biological, physical, and societal aspects. Our primary goal is to understand how the utilisation of EO data affects companies operating in the downstream sector. These enterprises possess the expertise and capabilities to extract valuable insights and information from EO data. We use a rich and innova- tive dataset representing 74% of the Italian EO downstream sector. The results show that EO data have heterogeneous impacts across downstream firms. Economic per- formance and innovation are positively correlated only for a subset of firms, espe- cially the ones in the northern regions. Firms in the centre of Italy exploit the spillo- ver of being close to large space infrastructures, but their performance in economic and innovation terms is mixed. The sub-sample in the South of Italy innovates due to EO but performs poorly economically. We discuss the determinants of such dis- crepancies and suggest policy and managerial implications for the industry’s future development.

Earth Observation data, innovation and economic performance: a study of the downstream sector in Italy / V. Lupi, V. Morretta, L. Zirulia. - In: EURASIAN BUSINESS REVIEW. - ISSN 1309-4297. - (2024), pp. 1-34. [10.1007/s40821-024-00261-y]

Earth Observation data, innovation and economic performance: a study of the downstream sector in Italy

V. Lupi;V. Morretta
Secondo
;
L. Zirulia
Ultimo
2024

Abstract

The increasing availability of external data in the realm of big data significantly impacts the operations and performance of businesses. In this study, we focus on Earth Observation (EO) technology, which supplies an extensive range of data related to Earth’s chemical, biological, physical, and societal aspects. Our primary goal is to understand how the utilisation of EO data affects companies operating in the downstream sector. These enterprises possess the expertise and capabilities to extract valuable insights and information from EO data. We use a rich and innova- tive dataset representing 74% of the Italian EO downstream sector. The results show that EO data have heterogeneous impacts across downstream firms. Economic per- formance and innovation are positively correlated only for a subset of firms, espe- cially the ones in the northern regions. Firms in the centre of Italy exploit the spillo- ver of being close to large space infrastructures, but their performance in economic and innovation terms is mixed. The sub-sample in the South of Italy innovates due to EO but performs poorly economically. We discuss the determinants of such dis- crepancies and suggest policy and managerial implications for the industry’s future development.
Artificial intelligence; Big data; Digitalisation; Earth Observation value; IT firms; Remote sensing; Satellites
Settore SECS-P/03 - Scienza delle Finanze
Settore SECS-P/02 - Politica Economica
Settore SECS-P/06 - Economia Applicata
2024
11-feb-2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1033791
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