Journals / İktisadi İdari ve Siyasal Araştırmalar Dergisi / 2020 / Cilt: 5 - Sayı: 13

TECHNOLOGY DIFFUSION TOWARDS EMERGING MARKETS: A COMPARATIVE PANEL DATA ANALYSIS

TEKNOLOJİNİN GELİŞMEKTE OLAN ÜLKELERE DİFÜZYONU: BİR KARŞILAŞTIRMALI PANEL VERİ ANALİZİ

Pages
287–304
Publication Date
2022-10-19
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Key findings are as follows: (i) suggested macroeconomic performance index performs well under pooled mean group and dynamic common correlated effects estimations and proves the importance of macroeconomic outlook for developing countries, (ii) the positive effect of human capital on total factor productivity turns to negative when common factors are included in the estimation, meaning that international technology spillovers are a key source of productivity increases for developing countries.

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to reveal how absorbable foreign direct investment (FDI) and macroeconomic performance affect technology diffusion along with patent applications, imports and human capital in 14 selected emerging markets (EMs) between 1980-2017.
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Key Findings & Data:To do this, a new approach for indexing macroeconomic performance is suggested and a strongly balanced panel was investigated with two different econometric approaches.
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Conclusion & Impact:Key findings are as follows: (i) suggested macroeconomic performance index performs well under pooled mean group and dynamic common correlated effects estimations and proves the importance of macroeconomic outlook for developing countries, (ii) the positive effect of human capital on total factor productivity turns to negative when common factors are included in the estimation, meaning that international technology spillovers are a key source of productivity increases for developing countries.
🔬Design:Lab & Field Experiment
📍Scope:2017 Verileri
⚙️Variables:teknoloji difüzyonu · gelişmekte olan ülkeler · verimlilik

Abstract

This study aims to reveal how absorbable foreign direct investment (FDI) and macroeconomic performance affect technology diffusion along with patent applications, imports and human capital in 14 selected emerging markets (EMs) between 1980-2017. To do this, a new approach for indexing macroeconomic performance is suggested and a strongly balanced panel was investigated with two different econometric approaches. Key findings are as follows: (i) suggested macroeconomic performance index performs well under pooled mean group and dynamic common correlated effects estimations and proves the importance of macroeconomic outlook for developing countries, (ii) the positive effect of human capital on total factor productivity turns to negative when common factors are included in the estimation, meaning that international technology spillovers are a key source of productivity increases for developing countries.

Özet

Bu çalışma, patent başvuruları, ithalat ve beşerî sermayenin yanında absorbe edilebilir doğrudan yabancı yatırımlar (DYY) ve makroekonomik performans verilerini de dikkate alarak seçilmiş 14 gelişmekte olan ülke için 1980-2017 döneminde teknoloji difüzyonunu incelemektedir. Bu amaç bağlamında makroekonomik performansı endekslemeye yönelik farklı bir yaklaşım önerilmiş ve dengeli bir panel veri seti üzerinde iki ayrı ekonometrik yaklaşım ile çalışılmıştır. Elde edilen bulgular şunlardır: (i) önerilen makroekonomik performans indeksi karma ortalama grup ve dinamik ortak korelasyonlu etkiler tahminlemeleri kapsamında iyi performans sergilemiş ve makroekonomik görünümün gelişen ülkeler için önemini ortaya koymuştur, (ii) beşerî sermayenin toplam faktör verimliliği üzerindeki pozitif etkisi ortak faktörlerin analize dahil edilmesiyle negatife dönmektedir. Bunun anlamı, uluslararası teknoloji yayılımı etkilerinin gelişmekte olan ülkeler için anahtar verimlilik kaynaklarından biri olduğudur.

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Cite This Article

KARADUMAN, Ç. (2022). TECHNOLOGY DIFFUSION TOWARDS EMERGING MARKETS: A COMPARATIVE PANEL DATA ANALYSIS. İktisadi İdari ve Siyasal Araştırmalar Dergisi, Cilt: 5 - Sayı: 13, 287–304. https://ajindex.com/articles/544338

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References (8)

  1. Accolley, D. (2003). The Determinants and Impacts of Foreign Direct Investment, MPRA Papers. Acs, Z. J. & Audretsch, D. B. (1989). Patents as a Measure of Innovative Activity. Kyklos International Review for Social Sciences, 42(2). Adamopoulos, T. & A. Akyol (2006). Relative Stagnation Alla Turca. York University, Department of Economics, Toronto. Alcacer, J. & Gittelman, M. (2006). Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations. Review of Economics and Statistics, 8(8), 774-779.
  2. Almeida, P. & Kogut, B. (1999). Localization of Knowledge and the Mobility of Engineers in Regional Networks. Management Science, 45(7). Amann, E. & Virmani, S. (2015). Foreign Direct Investment and Reverse Technology Spillovers: The Effect on Total Factor Productivity. OECD Journal: Economic Studies, 2014: 129-153.
  3. Andrews, D., Nicoletti, G. & Timiliotis, C. (2016). Digital Technology Diffusion: A Matter of Capabilities, Incentives or Both? OECD Economics Department, WP No: 1476. Asteriou, D., Pilbeam, K. & Pratiwi, C. E. (2020). Public Debt and Economic Growth: Panel Data Evidence for Asian Countries. Journal of Economics and Finance 2020, https://doi.org/10.1007/s12197-020-09515-7.
  4. Ayalew, S., Babu, M. C. & Rao, L. K. M. (2012). Comparison of New Approach Criteria for Estimating the Order of Autoregressive Process. IOSR Journal of Mathematics, 1(3). Baltabaev, B. (2014). Foreign Direct Investment and Total Factor Productivity Growth: New Macro‐Evidence. The World Economy, 37(2). Banerjee, A. & Carrion-I-Silvestre, J. L. (2017). Testing for Panel Cointegration Using Common Correlated Effects Estimator. Journal of Time Series Analysis, 38. Benhabib, J. & Spiegel, M. M. (2005). Human Capital and Technology Diffusion. Handbook of Economic Growth, 1(A). Bernard, A. B. & Jensen, J. B. (1999). Exceptional Exporter Performance: Cause, Effect or Both? Journal of International Economics, 47(1999), 1–25.
  5. Bessen, J. (2006). The Value of U.S. Patents by Owner and Patent Characteristics. Working Paper Series on Law and Economics, No: 06(46), Boston University School of Law. Bessen, J. & Maskin, E. (2009).
  6. Sequential Innovation, Patents, and Imitation. The RAND Journal of Economics, 40(4). Bijsterbosch, M. & Kolasa, M. (2010). FDI and Productivity Convergence in Central and Eastern Europe an Industry-Level Investigation. Review of World Economics, 145, 689-712.
  7. Bleaney, M. F. (1996).
  8. Macroeconomic Stability, Investment and Growth in Developing Countries.