Product innovation and firm performance in transition economies: A multi-stage estimation approach

Veland Ramadani, Robert D. Hisrich, Hyrije Abazi-Alili (), Leo Dana, Laxman Panthi and Lejla Abazi-Bexheti

Technological Forecasting and Social Change, 2019, vol. 140, issue C, 271-280

Abstract: Using Business Environment Enterprise Performance Surveys (BEEPS), this paper provides a multistage empirical analysis of product innovation and firm performance in transition economies (TEs). The Crepon-Duguet-Mairesse (CDM) model, a four-stage approach, is used to investigate the innovation-performance relationship. The multistage model allows studying the innovation activities of firms through multi-interrelated factors while controlling the issue of simultaneity and causality. The paper contributes to the research in this area by estimating the effect of innovation on performance through multistage equation modeling. It fills the gap in providing an understanding of factors that influence on product innovation - firm performance relationship in transition economies. This research is among the first to use product-only innovation to measure the impact of innovation on firms' performance. Findings indicate that product innovation has a positive impact on firm performance in transition economies, complemented by significant impact of specific control variables such as size, total labor cost, capital of the firm. Whereas age and competition from the informal sector, have a negative and significant effect on performance.

Keywords: Innovation; Product-only innovation; Performance; Crepon-Duguet-Mairesse (CDM) model; Business Environment Enterprise Performance Surveys (BEEPS); Transition economies (search for similar items in EconPapers)
JEL-codes: L20 L25 L26 M20 O32 O57 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (36)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:140:y:2019:i:c:p:271-280

DOI: 10.1016/j.techfore.2018.12.010

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