scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Institutional drivers of high-growth firms: country-level evidence from 26 transition economies

06 May 2016-Small Business Economics (Springer US)-Vol. 47, Iss: 4, pp 1075-1094
TL;DR: In this paper, the influence of formal and informal institutions on high growth firms (HCF) prevalence in 26 transition countries over a long period comprising three panels between 1998 and 2009.
Abstract: High-growth firms (HCF) represent a highly desirable subset of firms, which provide disproportionate economic gains, and greater insight into their determinants which is of interest to policymakers, scholars and business owners. We contribute to the literature on HGFs, which is largely absent of cross-national institutional studies, by examining the institutional conditions driving HGFs in 26 transition countries over a long period comprising three panels between 1998 and 2009. Using an institutional hierarchy approach, we test for the influence of formal and informal institutions on HGF prevalence in countries. Our analysis relies first on a principal component analysis to identify institutional factors. Second, we use GLS estimation to test the influence of these three factors on HGF prevalence in a country, followed by a robustness check. Our results show that interaction effects, rather than direct effects, are useful in explaining systematic variations in HGFs prevalence in transition economies. We find that the interaction between formal and informal institutions positively influences HGFs. Further, we find that in fast-reforming transition economies, more burdensome formal institutions discourage HGFs but in slow-reforming transition economies, informal institutions encourage HGFs.
Citations
More filters
Journal ArticleDOI
TL;DR: In this article, an integrative analysis spanning a broad spectrum of diverse literature enables a distinction between two different research lines in the field of entrepreneurship, and the findings of this study, based on articles from the journals included in the Web of Science database, facilitate a broader comprehension of two separate lines of research, which allows an analysis of the interaction among institutions, entrepreneurship and economic growth.
Abstract: This paper analyzes an emergent stream of research shedding light on the institutional factors shaping entrepreneurial activity and its effect on economic growth. This integrative analysis spanning a broad spectrum of diverse literature enables a distinction between two different research lines in the field of entrepreneurship. The findings of this study, based on articles from the journals included in the Web of Science database, facilitate a broader comprehension of two separate lines of research, which allows an analysis of the interaction among institutions, entrepreneurship, and economic growth. The systematic literature analysis over the last 25 years (1992–2016) of research reveals that institutions could be related to economic growth through entrepreneurship, which would open new research questions about what institutional factors are conducive to entrepreneurship, which in turn spurs economic growth. Thus, not only is understanding both complex relationships and their possible sequence useful for planning strategies and public policies, but it is also helpful for advancing and providing new insights in these research fields, which could be complementary and interdisciplinary.

309 citations

Journal ArticleDOI
TL;DR: In this article, a multistage empirical analysis of product innovation and firm performance in transition economies is provided, where the Crepon-Duguet-Mairesse model is used to investigate the innovation-performance relationship.

142 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examine and challenge the mythology perpetuated by policy makers and embedded within high growth entrepreneurship policy frameworks, and identify a clear mismatch between how policy makers perceive high growth firms and what they actually look like in reality.
Abstract: Promoting high growth firms (HGFs) has become a strong fixation within enterprise policy. This is a debate article seeking to examine and challenge the mythology perpetuated by policy makers and embedded within high growth entrepreneurship policy frameworks. Within the article we argue that a number of distinctive ‘myths’ have become deeply embedded within these policy frameworks. Such myths have been built on misconceived preconceptions of HGFs, which has resulted in policy-makers taking a myopic view of these firms. A key aim of the paper is to highlight how false perceptions of HGFs translate into inappropriate policy interventions. The paper challenges some of the most commonly held myths about these firms (that they are predominantly young, small, high-tech, VC-backed, university spin-outs, who grow in an orderly organic fashion, operating similarly irrespective of location) and identifies a clear mismatch between how policy makers perceive HGFs and what they actually look like in reality. Su...

112 citations


Cites background from "Institutional drivers of high-growt..."

  • ...HGFs in developing or transition contexts are recognized to differ somewhat from those within OECD countries given issues like institutional factors (Krasniqi and Desai 2016) and thus require further investigation....

    [...]

Journal ArticleDOI
TL;DR: The authors analyzes opportunity entrepreneurship through the interplay between formal and informal institutions, and it seems evident that not all entrepreneurial initiatives have the same quality, but not all entrepreneurship initiatives are the same either.

93 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the relationship between public subsidies and firm innovation in emerging economies, which are likely to have less developed financial markets, and found a positive relation between subsidies and the innovative activities of 11,998 firms across thirty Eastern Europe and Central Asia countries.
Abstract: This paper investigates the relationship between public subsidies and firm innovation in emerging economies, which are likely to have less developed financial markets. Innovation includes the introduction of new products or services and the upgrade of existing ones, which is of particular relevance for these economies. The results obtained using alternative measures of financial constraints and market competition, within a range of econometric techniques, suggest a positive relation between public subsidies and the innovative activities of 11,998 firms across thirty Eastern Europe and Central Asia countries. This correlation is stronger for firms more likely to be financially constrained.

85 citations


Cites background from "Institutional drivers of high-growt..."

  • ...See Krasniqi and Desai (2016) for a detailed country-level analysis of institutional drivers of high-growth firms....

    [...]

References
More filters
Book
01 Jan 1990
TL;DR: Douglass C. North as discussed by the authors developed an analytical framework for explaining the ways in which institutions and institutional change affect the performance of economies, both at a given time and over time.
Abstract: Continuing his groundbreaking analysis of economic structures, Douglass North develops an analytical framework for explaining the ways in which institutions and institutional change affect the performance of economies, both at a given time and over time. Institutions exist, he argues, due to the uncertainties involved in human interaction; they are the constraints devised to structure that interaction. Yet, institutions vary widely in their consequences for economic performance; some economies develop institutions that produce growth and development, while others develop institutions that produce stagnation. North first explores the nature of institutions and explains the role of transaction and production costs in their development. The second part of the book deals with institutional change. Institutions create the incentive structure in an economy, and organisations will be created to take advantage of the opportunities provided within a given institutional framework. North argues that the kinds of skills and knowledge fostered by the structure of an economy will shape the direction of change and gradually alter the institutional framework. He then explains how institutional development may lead to a path-dependent pattern of development. In the final part of the book, North explains the implications of this analysis for economic theory and economic history. He indicates how institutional analysis must be incorporated into neo-classical theory and explores the potential for the construction of a dynamic theory of long-term economic change. Douglass C. North is Director of the Center of Political Economy and Professor of Economics and History at Washington University in St. Louis. He is a past president of the Economic History Association and Western Economics Association and a Fellow, American Academy of Arts and Sciences. He has written over sixty articles for a variety of journals and is the author of The Rise of the Western World: A New Economic History (CUP, 1973, with R.P. Thomas) and Structure and Change in Economic History (Norton, 1981). Professor North is included in Great Economists Since Keynes edited by M. Blaug (CUP, 1988 paperback ed.)

27,080 citations

Posted Content
TL;DR: In this article, the authors examine the role that institutions, defined as the humanly devised constraints that shape human interaction, play in economic performance and how those institutions change and how a model of dynamic institutions explains the differential performance of economies through time.
Abstract: Examines the role that institutions, defined as the humanly devised constraints that shape human interaction, play in economic performance and how those institutions change and how a model of dynamic institutions explains the differential performance of economies through time. Institutions are separate from organizations, which are assemblages of people directed to strategically operating within institutional constraints. Institutions affect the economy by influencing, together with technology, transaction and production costs. They do this by reducing uncertainty in human interaction, albeit not always efficiently. Entrepreneurs accomplish incremental changes in institutions by perceiving opportunities to do better through altering the institutional framework of political and economic organizations. Importantly, the ability to perceive these opportunities depends on both the completeness of information and the mental constructs used to process that information. Thus, institutions and entrepreneurs stand in a symbiotic relationship where each gives feedback to the other. Neoclassical economics suggests that inefficient institutions ought to be rapidly replaced. This symbiotic relationship helps explain why this theoretical consequence is often not observed: while this relationship allows growth, it also allows inefficient institutions to persist. The author identifies changes in relative prices and prevailing ideas as the source of institutional alterations. Transaction costs, however, may keep relative price changes from being fully exploited. Transaction costs are influenced by institutions and institutional development is accordingly path-dependent. (CAR)

26,011 citations

Journal ArticleDOI
TL;DR: In this article, an extension of generalized linear models to the analysis of longitudinal data is proposed, which gives consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence.
Abstract: SUMMARY This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of estimating equations that give consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence. The estimating equations are derived without specifying the joint distribution of a subject's observations yet they reduce to the score equations for multivariate Gaussian outcomes. Asymptotic theory is presented for the general class of estimators. Specific cases in which we assume independence, m-dependence and exchangeable correlation structures from each subject are discussed. Efficiency of the proposed estimators in two simple situations is considered. The approach is closely related to quasi-likelih ood. Some key ironh: Estimating equation; Generalized linear model; Longitudinal data; Quasi-likelihood; Repeated measures.

17,111 citations

Journal ArticleDOI
TL;DR: A class of generalized estimating equations (GEEs) for the regression parameters is proposed, extensions of those used in quasi-likelihood methods which have solutions which are consistent and asymptotically Gaussian even when the time dependence is misspecified as the authors often expect.
Abstract: Longitudinal data sets are comprised of repeated observations of an outcome and a set of covariates for each of many subjects. One objective of statistical analysis is to describe the marginal expectation of the outcome variable as a function of the covariates while accounting for the correlation among the repeated observations for a given subject. This paper proposes a unifying approach to such analysis for a variety of discrete and continuous outcomes. A class of generalized estimating equations (GEEs) for the regression parameters is proposed. The equations are extensions of those used in quasi-likelihood (Wedderburn, 1974, Biometrika 61, 439-447) methods. The GEEs have solutions which are consistent and asymptotically Gaussian even when the time dependence is misspecified as we often expect. A consistent variance estimate is presented. We illustrate the use of the GEE approach with longitudinal data from a study of the effect of mothers' stress on children's morbidity.

7,080 citations

Book
06 Aug 1999
TL;DR: In this article, the authors present a regression analysis with time series data using OLS asymptotics and a simple regression model in Matrix Algebra, which is based on the linear regression model.
Abstract: 1. The Nature of Econometrics and Economic Data. Part I: REGRESSION ANALYSIS WITH CROSS-SECTIONAL DATA. 2. The Simple Regression Model. 3. Multiple Regression Analysis: Estimation. 4. Multiple Regression Analysis: Inference. 5. Multiple Regression Analysis: OLS Asymptotics. 6. Multiple Regression Analysis: Further Issues. 7. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables. 8. Heteroskedasticity. 9. More on Specification and Data Problems. Part II: REGRESSION ANALYSIS WITH TIME SERIES DATA. 10. Basic Regression Analysis with Time Series Data. 11. Further Issues in Using OLS with Time Series Data. 12. Serial Correlation and Heteroskedasticity in Time Series Regressions. Part III: ADVANCED TOPICS. 13. Pooling Cross Sections across Time: Simple Panel Data Methods. 14. Advanced Panel Data Methods. 15. Instrumental Variables Estimation and Two Stage Least Squares. 16. Simultaneous Equations Models. 17. Limited Dependent Variable Models and Sample Selection Corrections. 18. Advanced Time Series Topics. 19. Carrying out an Empirical Project. APPENDICES. Appendix A: Basic Mathematical Tools. Appendix B: Fundamentals of Probability. Appendix C: Fundamentals of Mathematical Statistics. Appendix D: Summary of Matrix Algebra. Appendix E: The Linear Regression Model in Matrix Form. Appendix F: Answers to Chapter Questions. Appendix G: Statistical Tables. References. Glossary. Index.

6,120 citations