Developing Employment Effects of Innovations: Microeconometric Evidence From Taiwan

Yang, Chih Hai; Lin, Chun Hung

doi:10.1111/j.1746-1049.2008.00059.x

Cited by 26 publications

(15 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Turning to the analysis of the relationship between innovation and employment considering potential differences among different sectors, previous literature has very rarely split the empirical analysis according to sectoral belonging. Yang and Lin (2008) On the whole -although the microeconometric evidence is not conclusive about the possible employment impact of innovation -the majority of recent investigations provide evidence of a positive link, especially when R&D and/or product innovation are adopted as proxies of technological change and when high-tech sectors (manufacturing and services) are considered. A feebler evidence of a labor-saving impact of process innovation is also detected in some studies, especially when low-tech manufacturing is exploited.…”

Section: Previous Microeconometric Evidencementioning

confidence: 99%

Beyond R&D: the role of embodied technological change in affecting employment

2019

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. ABSTRACTIn this work, we test the employment impact of distinct types of innovative investments using a representative sample of Spanish manufacturing firms over the period 2002-2013. Our GMM-SYS estimates generate various results, which are partially in contrast with the extant literature. Indeed, estimations carried out on the entire sample do not provide statistically significant evidence of the expected labor-friendly nature of innovation. More in detail, neither R&D nor investment in innovative machineries and equipment (the so-called embodied technological change, ETC) turn out to have any significant employment effect. However, the job-creation impact of R&D expenditures becomes highly significant when the focus is limited to the high-tech firms. On the other hand -and interestingly -ETC exhibits its labor-saving nature when SMEs are singled out.

show abstract

Section: Previous Microeconometric Evidencementioning

confidence: 99%

Beyond R&D: the role of embodied technological change in affecting employment

2019

View full text Add to dashboard Cite

show abstract

“…The final issue is that some studies report disproportionately large numbers of estimates compared to the rest. For example, four studies (Berndt et al ., ; van Reenen, ; Yang and Lin, ; Lachenmaier and Rottmann, ) account for 43% of the total estimates in the evidence pool. Even though the HM takes account of between‐ and within‐study dependence, the sheer number of estimates reported by such studies may dominate the informational content of the evidence base and the meta‐regression estimates.…”

Section: Why Hierarchical Meta‐regression?mentioning

confidence: 99%

Technological Innovation and Employment in Derived Labour Demand Models: A Hierarchical Meta‐regression Analysis

Uğur

Churchill

Solomon

2017

Journal of Economic Surveys

View full text Add to dashboard Cite

Abstract. The effect of technological innovation on employment is of major concern for workers and their unions, policy makers and academic researchers. We meta-analyse 570 estimates from 35 primary studies that estimate a derived labour demand model. We contribute to existing attempts at evidence synthesis by addressing the risks of selection bias and that of data dependence in observational studies. Our findings indicate that: (i) hierarchical meta-regression models are sufficiently versatile for addressing both selection bias and data dependence in observational data; (ii) innovation's effect on employment is positive but small and highly heterogeneous; (iii) only a small part of residual heterogeneity is explained by moderating factors; (iv) selection bias tends to reflect preference for upholding prevalent hypotheses on the employment effects of process and product innovations; (v) country-specific effect-size estimates are related to labour market and product market regulation in six OECD countries in a U-shaped fashion; and (vi) OLS estimates reflect upward bias whereas those based on time-differenced or within estimators reflect a downward bias. Our findings point out to a range of data quality and modelling issues that should be addressed in future research.

show abstract

“…4 Wage premium trends for postgraduate education 12 Some studies have found that there were skill-biased technological changes and led to a higher demand for higher educated and skilled labor in Taiwan in late 1990 to early 2000s, e.g. Tang and Tseng (2004) and Yang and Lin (2008). and quality.…”

Section: Effects Of Postgraduate Education Expansion On Individual Prmentioning

confidence: 99%

Dynamics of rate of returns for postgraduate education in Taiwan: the impact of higher education expansion

Yang

Lin

2010

Asia Pacific Educ. Rev.

Self Cite

View full text Add to dashboard Cite

This paper analyzes the dynamics of rate of returns for postgraduate education and the determinants of wage premiums for postgraduate labor, especially for the impact of higher education expansions, in terms of quantity and quality, since the late 1990s in Taiwan. Utilizing quasipanel data over the 1990-2004 period and employing the double fixed effect model, the empirical results first confirm the existence of wage premiums for workers with postgraduate degrees. However, the analysis on the dynamics of wage premiums finds that it ranged from only 1.40 to 11.67% and decreased sharply in 2004, indicating that the pecuniary reward for postgraduate qualification seems not to be as high as expected. Along with the rapid expansion of higher education, the concern about its negative impact on rate of returns to education is witnessed in this study. The sharp increase in the supply of postgraduate labors appears to have a negative impact on an individual's wage premium. Similarly, a decline in the postgraduate labor quality along with higher education expansion has contributed to a negative wage effect.

show abstract

Developing Employment Effects of Innovations: Microeconometric Evidence From Taiwan

Cited by 26 publications

References 27 publications

Beyond R&D: the role of embodied technological change in affecting employment

Beyond R&D: the role of embodied technological change in affecting employment

Technological Innovation and Employment in Derived Labour Demand Models: A Hierarchical Meta‐regression Analysis

Dynamics of rate of returns for postgraduate education in Taiwan: the impact of higher education expansion

Contact Info

Product

Resources

About