The causal relationship between innovation, competitiveness and foreign trade in developed and developing countries

Şener, Sefer; Delican, Deniz

doi:10.1016/j.procs.2019.09.085

Cited by 24 publications

(15 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The scholar concluded that absence of innovation causes aggregate trade to be lower. The study by Senser and Delican (2019) also documented that trade impacts innovation in developing and developed economies.…”

Section: Literature Reviewmentioning

confidence: 94%

Trade openness channels and labour market performance: evidence from Nigeria

Asaleye

Ogunjobi

Ezenwoke

2021

IJSE

View full text Add to dashboard Cite

PurposeThe implications of trade on developing economies have generated substantial debates with most studies focussed on “openness in the policy”. Hence, the purpose of this study is to focus on “openness in practice”.Design/methodology/approachThis study uses two models and employed the vector error correction model and structural vector autoregression, first, to examine the sectoral effects; second, to investigate the efficacy of neoclassical and new trade theories; and third, to analyse the effect of trade openness shock on Nigerian labour market performance.FindingsThe results of the first model showed that trade openness has an adverse effect on employment and wages in both the agriculture and manufacturing sectors. Likewise, the study concludes that the new trade theory explains trade's behaviour on employment and wages in Nigeria. The second model showed that the effect of error shock from trade openness affected wages more than employment.Research limitations/implicationsThe study ignores the distributional effects due to unavailability of data.Practical implicationsThe study suggested, amongst others, the need for policies mix on the labour market via a coherent set of initiatives in other to increase the competitiveness of Nigeria in the international market.Originality/valueMost studies focussed on openness in policy through the channels identified in the literature. However, this study investigates these channels in “openness in practice” and investigates trade theories' efficacy on manufacturing and agricultural sectors in Nigeria, which has been neglected in the literature.

show abstract

Section: Literature Reviewmentioning

confidence: 94%

Trade openness channels and labour market performance: evidence from Nigeria

Asaleye

Ogunjobi

Ezenwoke

2021

IJSE

View full text Add to dashboard Cite

show abstract

“…(Samoilikova, 2020) analyze the determinants of the Innovation Index with reference to Ukraine and show how R&D expenditure as a percentage of GDP, the presence of public and private funding, together with an efficient regulatory system are positively associated with the growth of innovation at country level. (Sener & Delican, 2019 ) put together a composite dataset of 31 developed and 26 developing countries to analyze the relationship between innovation, competitiveness, and export. The results show that there is a oneway causation from export to innovation and from innovation to competitiveness for developing countries.…”

Section: Literature Reviewmentioning

confidence: 99%

The Innovation Index in Europe

Leogrande¹,

Laureti²,

Costantiello³

2022

Preprint

View full text Add to dashboard Cite

The following article analyzes the determinants of the innovation index in Europe. The data refer to the European Innovation Scoreboard-EIS of the European Commission for the period between 2010 and 2019 for 36 countries. The data are analyzed using the following econometric techniques: Panel Data with Random Effects, Panel Data with Fixed Effects, Dynamic Panel Data, Pooled OLS, WLS. The results show that the Innovation Index is negatively connected to some variables, among which the most significant are "GDP per capita", "R&D expenditure public sector", "Venture capital", "Tertiary education", and positively connected to some variables among which the most relevant are: "Government procurement of advanced technology products", "Average annual population growth", "Finance and support", "Human resources", "Marketing or organisational innovators", "Linkages". A clustering was then carried out using the unsupervised k-Means algorithm optimized with the Silhouette coefficient which shows the presence of 2 clusters per value of the Innovation Index. Eight machine learning algorithms has been used for prediction with real data. The Tree Ensemble Regression algorithm has been chosen as best performer. A further prediction has been made with the augmented data. The result shows that the best performing algorithm is Linear Regression with an innovation index value predicted to grow by approximately 3.38%.

show abstract

“…Technology boosts trade from industries in which they are diligently used (Wang & Li, 2017) and also leads to growth of trading economies (Siddiqui & Singh, 2020). Even in developed nations, technological advancements exert positive relationship on foreign trade (Nguyen et al, 2020; Sener & Delican, 2019). In the case of newly industrialised countries, technology was found to be an important catalyst in fostering their spectacular growth (Nelson & Winter, 1982).…”

Section: Review Of Literature and Theoretical Frameworkmentioning

confidence: 99%

Technology Intensive Exports and Growth of Asian Economies

Siddiqui

2022

The Indian Economic Journal

View full text Add to dashboard Cite

The emphasis on enhancing and specialising in technology exports and altering policy environment in Asian economies has been dominant since 2000. The present study is an attempt to empirically investigate the effect of technology exports on enhancing growth of Asian economies during the period 2001 to 2018. To assess the linkages between growth, investments, labour productivity and technology exports, panel least squares with cross section weights is applied for the economies. To assess the relationship between the variables for each individual country ARDL technique is applied. The results indicate long run relationship between low, medium low and medium high technology exports and growth as well as domestic investment and growth. For individual nations, the results indicate varying intensity of technology exports have a different relationship with growth. The results also suggest the need for Government of each nation to enhance its effort on the development of policies which focus on attracting investments and further promoting exports of technology intensive sectors. JEL Codes: F14, F60, O19

show abstract

The causal relationship between innovation, competitiveness and foreign trade in developed and developing countries

Cited by 24 publications

References 9 publications

Trade openness channels and labour market performance: evidence from Nigeria

Trade openness channels and labour market performance: evidence from Nigeria

The Innovation Index in Europe

Technology Intensive Exports and Growth of Asian Economies

Contact Info

Product

Resources

About