The asymmetric impacts of remittances on innovation in middle-income economies: A nonlinear autoregressive distributed lag approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F25%3A106235" target="_blank" >RIV/60460709:41110/25:106235 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2444569X25001623?pes=vor&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2444569X25001623?pes=vor&utm_source=clarivate&getft_integrator=clarivate</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jik.2025.100817" target="_blank" >10.1016/j.jik.2025.100817</a>
Alternative languages
Result language
angličtina
Original language name
The asymmetric impacts of remittances on innovation in middle-income economies: A nonlinear autoregressive distributed lag approach
Original language description
Innovation is essential for promoting long-term growth in middle-income countries (MICs). Amid growing remittance inflows, understanding how these financial transfers influence innovation outcomes has become increasingly important; however, the prevailing literature overlooks the impact of remittances on innovation, mainly their asymmetrical effect. To address this gap, we employ the nonlinear autoregressive distributed lag approach and the Dumitrescu-Hurlin causality test. Specifically, we investigate the asymmetric effects of positive and negative remittance shocks on innovation in MICs over the short and long run, using panel data from 1996 to 2022. The study employs second-generation panel unit root tests to verify stationarity and second-generation cointegration analysis, confirming a stable long-term relationship among variables. Our findings indicate that positive remittance shocks stimulate innovation, while negative shocks have a detrimental impact. We also explore the significant positive association between innovation and key economic factors, including gross domestic product (GDP) per capita, CO2 emissions, financial development, and capital stock. These results can help policymakers design targeted policies that boost the economic benefits of remittance flows by aligning them with innovation-driven growth initiatives.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Innovation & Knowledge
ISSN
2530-7614
e-ISSN
2530-7614
Volume of the periodical
10
Issue of the periodical within the volume
6
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
1-14
UT code for WoS article
001582031800001
EID of the result in the Scopus database
2-s2.0-105016801437