No Miracle: What Asia Can Teach All Countries About Growth by Mitchell Wigdor (review)
Bibliographic record
Abstract
No Miracle: What Asia Can Teach All Countries About Growth. By Mitchell Wigdor. Farnham: Ashgate, 2013. Pp. 262. There are many books about the Asian miracle economies and what other countries can learn from them. Scholars in the neo-liberal tradition have suggested that these countries demonstrate the virtues of markets and openness. Those following the world system and dependencia tradition have emphasized the exceptional global/regional circumstances that produced a dependency reversal. Culturalist scholars have highlighted particular deep-rooted values and belief systems. Other scholars have stressed the role of entrepreneurship and socio-cultural networks. Finally, statist scholars have explained the region's impressive economic growth by reference the way in which the political-bureaucratic elites have guided the market, and the nature of state-business interaction. No Miracle: What Asia Can Teach All Countries About Growth belongs the latter strand but is mostly concerned with relating itself and criticizing the influential New Institutional Economics (NIE) approach. The book explores how institutions matter for economic transformation and in bridging the digital divide. More precisely, the is allow a greater understanding of the role of institutions as a mediating factor in the relationship between ICT usage and growth and provide actionable advice the governments of less economically developed countries and others concerned with economic development who must decide which institutions are important and determine how build them (p. 22). Mitchell Wigdor is a Toronto-based lawyer and a business advisor who has twenty-five years of practical experience. The book is based on the author's dissertation from the University of Toronto, Faculty of Law (2010). Wigdor is a strong believer in interdisciplinary approaches and the book cuts across the disciplines of economics, organization studies, law, business studies, innovation studies, and development studies. Apart from the introduction and conclusion, the book is organized into two parts. The first part looks upon ICT and institutions. Chapters 1 and 2 examine the increasingly strategic role of information and communication technology (ICT) for sustained growth. The author argues that ICT is a general purpose technology--the usage of which plays the same growth-enabling role as electrification did at an earlier stage. However, the link between ICT and economic growth is mediated by four critical factors: telecommunication infrastructure, investments in ICT use, human capital needed for effective use, and institutions. Chapter 3 studies FDI and growth because FDI represents the most likely channel for obtaining the ICT needed expand economies. While the ICT chapters draw upon the endogenous growth theory, the FDI chapter mostly builds upon John Dunning's eclectic paradigm. The author forcefully demonstrates that there is no free lunch, so that is important for governments to determine what they want from FDI, how get and, once they get it, how make most out of it (p. 58). Furthermore, the spreading of potential benefits from FDIs is argued be dependent upon three key factors: technology, human capital, and institutions. The first three chapters are well-organized and make a contribution the literature in the way combines existing approaches and empirical studies within the chosen themes. Wigdor argues that the importance of institutions for ICT use and as a locational determinant of FDIs are under-researched, which leads him focus on institutions in the two following chapters. Chapter 4 is used demonstrate that economists in general, and NIE (Douglas North) in particular, have mostly been concerned with whether institutions matter for growth and have presented institutions as slow-moving and outside what governments can influence. Moreover, the author finds that the definitions of institutions are unclear and/or unworkable. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".