Knowledge sourcing and firm performance in an industrializing economy: The case of Taiwan (1992-2003)

We examine the impact of R&D and technology imports on firm performance in Taiwan’s manufacturing industry in a policy context of industrial upgrading. To do so, we estimate a Translog production function on two panels (covering 1992-1995 and 1997-2003), using stochastic frontier models. We find that the effects of both knowledge inputs become significant in a larger number of industries in the second panel. These results suggest that the policies encouraging innovation implemented from 1991 onwards paid off in the second half of the 1990s, with innovation driving firm sales. In traditional industries, the effect of innovation can be interpreted as an effort to catch up with the global technology frontier. In the electronics and high-technology industries, it rather testifies of the emergence of a new domain of specialization for Taiwan – which was largely enabled by the aforementioned innovation policies.Manufacturing Industries, Newly Industrialized Countries, Technology Imports - Stochastic Frontier Estimation.

Daily Tourist Arrivals, Exchange Rates and Volatility for Korea and Taiwan

Both domestic and international tourism are a major source of service export receipts for many countries worldwide, and is also increasingly important in Taiwan. One of the three leading tourism source countries for Taiwan is the Republic of Korea, which is a source of short haul tourism. Daily data from 1 January 1990 to 31 December 2008 are used to model the Korean Won / New Taiwan $exchange rate and tourist arrivals from Korea to Taiwan, as well as their associated volatility. The sample period includes the Asian economic and financial crises in 1997, and a significant part of the global financial crisis of 2008-09. Inclusion of the exchange rate allows approximate daily price effects on Korean tourism arrivals to Taiwan to be captured. The Heterogeneous Autoregressive (HAR) model is used to capture long memory properties in exchange rates and Korean tourist arrivals, to test whether alternative estimates of conditional volatility are sensitive to the long memory in the conditional mean, and to examine asymmetry and leverage in volatility. The empirical results show that the conditional volatility estimates are not sensitive to the long memory nature of the conditional mean specifications. The QMLE for the GARCH(1,1), GJR(1,1) and EGARCH(1,1) models for Korean tourist arrivals to Taiwan and the Korean Won / New Taiwan$ exchange rate are statistically adequate and have sensible interpretations. Asymmetry (though not leverage) is found for several alternative HAR models.

Citations and Impact of ISI Tourism and Hospitality Journals

The paper analyses the leading international journals in Tourism and Hospitality Research using quantifiable Research Assessment Measures (RAMs), highlights the similarities and differences in alternative RAMs, shows that several RAMs capture similar performance characteristics of highly cited journals, and shows that some other RAMs have low correlations with each other, and hence add significant informational value. Several RAMs are discussed for the Thomson Reuters ISI Web of Science database (hereafter ISI). Alternative RAMs may be calculated annually or updated daily to answer the questions as to When, Where and How (frequently) published papers are cited. The RAMs include the most widely used RAM, namely the classic 2-year impact factor including journal self citations (2YIF), 2-year impact factor excluding journal self citations (2YIF*), 5-year impact factor including journal self citations (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, PI-BETA (Papers Ignored - By Even The Authors), 2-year Self-citation Threshold Approval Ratings (2Y-STAR), Historical Self-citation Threshold Approval Ratings (H-STAR), Impact Factor Inflation (IFI), and Cited Article Influence (CAI). As data are not available for 5YIF, Article Influence and CAI for 11 of the 14 journals considered, 10 RAMs are analysed for 14 highly-cited journals in Tourism and Hospitality in the ISI category of Hospitality, Leisure, Sports & Tourism. Harmonic mean rankings of the 10 RAMs for the 14 highly-cited journals are also presented. It is shown that emphasizing the 2-year impact factor of a journal, which partly answers the question as to When published papers are cited, to the exclusion of other informative RAMs, which answer Where and How (frequently) published papers are cited, can lead to a distorted evaluation of journal impact.Research assessment measures, Impact factor, IFI, C3PO, PI-BETA, STAR, Eigenfactor, Article Influence, h-index.

"Daily Tourist Arrivals, Exchange Rates and Volatility for Korea and Taiwan"

Both domestic and international tourism are a major source of service export receipts for many countries worldwide, and is also increasingly important in Taiwan. One of the three leading tourism source countries for Taiwan is the Republic of Korea, which is a source of short haul tourism. Daily data from 1 January 1990 to 31 December 2008 are used to model the Korean Won / New Taiwan $exchange rate and tourist arrivals from Korea to Taiwan, as well as their associated volatility. The sample period includes the Asian economic and financial crises in 1997, and a significant part of the global financial crisis of 2008-09. Inclusion of the exchange rate allows approximate daily price effects on Korean tourism arrivals to Taiwan to be captured. The Heterogeneous Autoregressive (HAR) model is used to capture long memory properties in exchange rates and Korean tourist arrivals, to test whether alternative estimates of conditional volatility are sensitive to the long memory in the conditional mean, and to examine asymmetry and leverage in volatility. The empirical results show that the conditional volatility estimates are not sensitive to the long memory nature of the conditional mean specifications. The QMLE for the GARCH(1,1), GJR(1,1) and EGARCH(1,1) models for Korean tourist arrivals to Taiwan and the Korean Won / New Taiwan$ exchange rate are statistically adequate and have sensible interpretations. Asymmetry (though not leverage) is found for several alternative HAR models.

Doing R&D and Importing Technology : an Empirical Investigation on Taiwan’s manufacturing firms

The objective of this paper is to identify the determinants of the decision to innovate in Taiwan. Three “innovation strategies” are considered : doing R&D only, importing technology only, and combining both. We estimate a Bivariate Probit on a panel of more than 27000 Taiwanese manufacturing firms observed from 1992 to 1995. Results suggest that the decision to R&D over the period was influenced by the prior changes in exportations at the industry level, whereas the decision to import technology is affected by the current changes. We identify a non-linear relationship between firm size and innovation. Moreover, older firms tend to innovate less, whereas market structure doesn’t affect the decision to innovate. These two results change when only high-tech industries are considered : the effect of firm’s age becomes insignificant, whereas a more concentrated market structure is shown to increase the probability to innovate.R&D;importation of technology;market structure;technological opportunities;high-tech industries;panel data;bivariate Probit.

What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance

Experts possess knowledge and information that are not publicly available. The paper is concerned with the ranking of academic journal quality and research impact using a survey of experts from a national project on ranking academic finance journals. A comparison is made with publicly available bibliometric data, namely the Thomson Reuters ISI Web of Science citations database (hereafter ISI) for the Business - Finance category. The paper analyses the leading international journals in Finance using expert scores and quantifiable Research Assessment Measures (RAMs), and highlights the similarities and differences in the expert scores and alternative RAMs, where the RAMs are based on alternative transformations of citations taken from the ISI database. Alternative RAMs may be calculated annually or updated daily to answer the perennial questions as to When, Where and How (frequently) published papers are cited (see Chang et al. (2011a, b, c)). The RAMs include the most widely used RAM, namely the classic 2-year impact factor including journal self citations (2YIF), 2-year impact factor excluding journal self citations (2YIF*), 5-year impact factor including journal self citations (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, PIBETA (Papers Ignored - By Even The Authors), 2-year Self-citation Threshold Approval Ratings (2Y-STAR), Historical Self-citation Threshold Approval Ratings (H-STAR), Impact Factor Inflation (IFI), and Cited Article Influence (CAI). As data are not available for 5YIF, Article Influence and CAI for 13 of the leading 34 journals considered, 10 RAMs are analysed for 21 highly-cited journals in Finance. Harmonic mean rankings of the 10 RAMs for the 34 highly-cited journals are also presented. It is shown that emphasizing the 2-year impact factor of a journal, which partly answers the question as to When published papers are cited, to the exclusion of other informative RAMs, which answer Where and How (frequently) published papers are cited, can lead to a distorted evaluation of journal impact and influence relative to the Harmonic Mean rankings. A simple regression model is used to predict expert scores on the basis of RAMs that capture journal impact, journal policy, the number of high quality papers, and quantitative information about a journal.Expert scores; Journal quality; Research assessment measures; Impact factor; IFI; C3PO; PI-BETA; STAR; Eigenfactor; Article Influence; h-index

How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environmental and Resource Economics

The Thomson Reuters ISI Web of Science citations database (hereafter ISI) category of Economics has one of the largest numbers of journals, at 304, of any ISI discipline, and hence has wide coverage. The paper analyses the leading international journals in the Economics sub-disciplines of Energy, Environmental and Resource Economics using quantifiable Research Assessment Measures (RAMs), and highlights the similarities and differences in alternative RAMs. The RAMs are based on alternative transformations of citations taken from the ISI database. Alternative RAMs may be calculated annually or updated daily to answer the perennial questions as to When, Where and How (frequently) published papers are cited (see Chang et al. (2011a, b, c)). The RAMs include the most widely used RAM, namely the classic 2-year impact factor including journal self citations (2YIF), 2-year impact factor excluding journal self citations (2YIF*), 5-year impact factor including journal self citations (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, PI-BETA (Papers Ignored - By Even The Authors), 2-year Self-citation Threshold Approval Ratings (2Y-STAR), Historical Self-citation Threshold Approval Ratings (H-STAR), Impact Factor Inflation (IFI), and Cited Article Influence (CAI). As data are not available for 5YIF, Article Influence and CAI for one of the 20 journals considered, 13 RAMs are analysed for 19 highly-cited journals in Energy, Environmental and Resource Economics in the ISI category of Economics. Harmonic mean rankings of the 13 RAMs for the 19 highly-cited journals are also presented. It is shown that emphasizing the 2-year impact factor of a journal, which partly answers the question as to When published papers are cited, to the exclusion of other informative RAMs, which answer Where and How (frequently) published papers are cited, can lead to a distorted evaluation of journal impact and influence relative to the Harmonic Mean rankings.Research assessment measures; Impact factor; IFI; C3PO; PI-BETA; STAR; Eigenfactor; Article Influence; h-index

Using the Asymptotically Ideal Model to estimate the impact of knowledge on labour productivity: An application to Taiwan in the 1990s.

This paper examines the impact of embodied and disembodied knowledge on labour productivity in Taiwan’s manufacturing industry, using the Asymptotically Ideal Model. The model is estimated on a panel of 27,754 firms observed from 1992 to 1995, using three estimations procedures: fixed-effect regression, random-effect GLS, and Hausman-Taylor estimation. Our findings show that, in traditional industries, labour productivity is mostly driven by embodied knowledge, whereas in high-tech industries, labour productivity depends on both embodied and disembodied knowledge. The latter result may be the consequence of the Industrial Upgrading Statute implemented in Taiwan after 1991.Asymptotically Ideal Model; Disembodied Knowledge; Embodied Knowledge; Labour Productivity; Newly Industrialized Countries.

Industrial Agglomeration, Geographic Innovation and Total Factor Productivity: The Case of Taiwan

The paper analyses the impact of geographic innovation on Total Factor Productivity (TFP) in Taiwan. Using 242 four-digit standard industrial classification (SIC) industries in Taiwan in 2001, we compute TFP by estimating Translog production functions with K, L, E and M inputs, and measure the geographic innovative activity using both Krugman's Gini coefficients and the location Herfindahl index. We also consider the geographic innovation variable as an endogenous variable and use 2SLS to obtain a consistent, albeit inefficient, estimator. The empirical results show a significantly positive effect of geographic innovation, as well as R&D expenditure, on TFP. These results are robust for the Gini coefficients and location Herfindahl index, when industry characteristics and heteroskedasticity are controlled. Moreover, according to the endogeneity of geographic innovation, the Hausman test shows that the geographic innovation variable should be treated as endogenous, which supports the modern theory of industrial clustering about innovation spillovers within clusters.Industry agglomeration; Geographic innovation; Total factor productivity; Cluster; Research and Development

"Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan"

This paper estimates the effects of short and long haul volatility (or risk) in monthly Japanese tourist arrivals to Taiwan and New Zealand , respectively. In order to model appropriately the volatilities of international tourist arrivals, we use symmetric and asymmetric conditional volatility models that are commonly used in financial econometrics, namely the GARCH (1,1), GJR (1,1) and EGARCH (1,1) models. The data series are for the period January 1997 to December 2007. The volatility estimates for the monthly growth in Japanese tourists to New Zealand and Taiwan are different, and indicate that the former has an asymmetric effect on risk from positive and negative shocks of equal magnitude, while the latter has no asymmetric effect. Moreover, there is a leverage effect in the monthly growth rate of Japanese tourists to New Zealand, whereby negative shocks increase volatility but positive shocks of very similar magnitude decrease volatility. These empirical results seem to be similar to a wide range of financial stock market prices, so that the models used in financial economics, and hence also the issues related to risk and leverage effects, are also applicable to international tourism flows.