The asymmetric impacts of remittances on innovation in middle-income economies: A nonlinear autoregressive distributed lag approach

• The study examines the asymmetric impacts of remittances on innovation in middle-income countries. • We employ advanced methods to examine the nonlinear effects of remittance flows on innovation. • The study explores how positive remittance shocks boost innovation and negative shocks hinder it. • Innovation increases GDP per capita, CO 2 emissions, financial development, and capital stock. • Policymakers should align remittance inflows with innovation policies that can strengthen innovation-led growth. 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.

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Publication Details

Journal
Journal of Innovation & Knowledge
Published
2025-09-25
DOI
https://doi.org/10.1016/j.jik.2025.100817
Citations
1
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
4.20
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article

The asymmetric impacts of remittances on innovation in middle-income economies: A nonlinear autoregressive distributed lag approach

Md Zahidul Islam, Md. Shamim Hossain, Md. Mourtuza Ahamed, Mohammad Bin Amin et al.
1 citations
Journal of Innovation & Knowledge
Migration and Labor Dynamics
4.20
article

The asymmetric impacts of remittances on innovation in middle-income economies: A nonlinear autoregressive distributed lag approach

Md Zahidul Islam, Md. Shamim Hossain, Md. Mourtuza Ahamed, Mohammad Bin Amin, Judit Oláh
article en
1 citations

Abstract

• The study examines the asymmetric impacts of remittances on innovation in middle-income countries. • We employ advanced methods to examine the nonlinear effects of remittance flows on innovation. • The study explores how positive remittance shocks boost innovation and negative shocks hinder it. • Innovation increases GDP per capita, CO 2 emissions, financial development, and capital stock. • Policymakers should align remittance inflows with innovation policies that can strengthen innovation-led growth. 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.

Journal of Innovation & KnowledgeVol. 10(6)
Jatiya Kabi Kazi Nazrul Islam University (BD), Khulna University (BD), University of Debrecen (HU), State University of Bangladesh (BD), Czech University of Life Sciences Prague (CZ), International University of Business Agriculture and Technology (BD), John von Neumann University (HU), Bangladesh University of Business and Technology (BD), Swinburne University of Technology (AU), Swinburne University of Technology Sarawak Campus (MY)
Openalex Percentile: Top 6%
Migration and Labor Dynamics
4.20
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