İnovasyonun İstihdam Düzeyine Etkisi: Türkiye İçin Bir ARDL Sınır Testi Yaklaşımı

Acar, Mustafa; Sever, Erşan

doi:10.17233/sosyoekonomi.2022.01.02

Cited by 7 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study also provides a contribution to the literature in this respect. Like Acar and Sever (2022) found, R&D expenditures were found to affect employment positively (in the long run) in the results of this study. However, when it comes to patent data, Acar and Sever (2022) found that patent applications have a negative impact on employment.…”

Section: Discussionsupporting

confidence: 83%

“…Like Acar and Sever (2022) found, R&D expenditures were found to affect employment positively (in the long run) in the results of this study. However, when it comes to patent data, Acar and Sever (2022) found that patent applications have a negative impact on employment. On the other hand, in this study, patent grants are preferred rather than patent applications in order to use a more certain and accurate proxy for innovation.…”

Section: Discussionsupporting

confidence: 83%

“…The Turkish literature on this subject has been increasing recently. In this context, Acar and Sever (2022) discovered that the number of domestic patent applications appears to have a negative impact on employment, while exports of high-tech goods, R&D expenditures, and changes in the number of firms appear to have a positive impact. Doğaner (2022) also investigates the effect of R&D expenditures and number of patents on employment in Türkiye.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Effect of Innovation on Employment in Türkiye

BOLKOL,

GÜLERYÜZ

2023

İnsan Ve Toplum Bilimleri Araştırmaları Dergisi

View full text Add to dashboard Cite

This study examines the impact of innovation on employment in the Turkish labor market between the years 1991-2021, using monthly patent grants and annual R&D expenditure statistics. As for empirical technique, ARDL (autoregressive distributed lag) approach is used. The reason for choosing this approach is that it separates the long-term and short-term results and gives better results in analysis with a lower number of observations than other methods. The difference between the results of this study from the literature is that the analysis was performed in two different time periods, with two different proxy variables, and they gave the same result as proof of the robustness of the results. When the long-run model and the short-run model are investigated separately, it is found that while the effect of innovation on employment is negative in the short-run, it turns out to be positive in the long-run. Thus, during the period 1991-2021 in the Turkish labor market, while innovation might negatively affect employment levels to some extent in the short run, innovation could exert a more structural and sustainable positive impact on employment levels in the long run. In the short-run, the negative effect of innovation on employment can be seen as a kind of creative destruction, but in the long-run, the positive effect of innovation supports the hypothesis that the increase in the education and training levels of workers along with the profit and productivity provided by innovation increases employment by adapting workers to innovation. The aim of this study is to make an inference with macro data sets but, using micro-level, firm data may provide significant results on the effect of innovation on employment.

show abstract

Section: Discussionsupporting

confidence: 83%

Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Effect of Innovation on Employment in Türkiye

BOLKOL,

GÜLERYÜZ

2023

İnsan Ve Toplum Bilimleri Araştırmaları Dergisi

View full text Add to dashboard Cite

show abstract

The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis

Ayhan

Elal

2023

Technological Forecasting and Social Change

View full text Add to dashboard Cite

Gelişmekte Olan Ülkelerde Kapalı Çember Teorisinin Test Edilmesi: Türkiye Üzerine Bir İnceleme (1980-2019)

AYTEKİN

Kaya

2023

Sosyoekonomi

View full text Add to dashboard Cite

Bu çalışmanın amacı; 1980-2019 yılları arasındaki dönem için Türkiye’de kapalı çember teorisinin geçerli olup olmadığının test edilmesidir. Bu amaçla çalışmada yatırım, tasarruf, gelir, tüketim ve verimlilik değişkenleri otoregresif dağıtılmış gecikme sınır testi yaklaşımıyla analiz edilmiştir. Yapılan analizde üç model kurulmuştur. Bağımlı değişken olarak yatırımın ele alındığı birinci modelde değişkenler arasında eşbütünleşme ilişkisine rastlanmıştır. Dolayısıyla birinci modele göre, Türkiye’de kapalı çember teorisinin geçerli olmadığı anlaşılmıştır fakat bağımlı değişken olarak tüketimin ele alındığı ikinci model ile bağımlı değişken olarak verimliliğin ele alındığı üçüncü modelde değişkenler arasında eşbütünleşme ilişkisine rastlanmamıştır. Dolayısıyla ikinci ve üçüncü modele göre Türkiye’de yoksulluk kısır döngüsünün geçerli olduğu anlaşılmıştır.

show abstract

İnovasyonun İstihdam Düzeyine Etkisi: Türkiye İçin Bir ARDL Sınır Testi Yaklaşımı

Cited by 7 publications

References 28 publications

The Effect of Innovation on Employment in Türkiye

The Effect of Innovation on Employment in Türkiye

The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis

Gelişmekte Olan Ülkelerde Kapalı Çember Teorisinin Test Edilmesi: Türkiye Üzerine Bir İnceleme (1980-2019)

Contact Info

Product

Resources

About