Browsing by Author "Villanthenkodath, Muhammed Ashiq"

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A comparative study on the moderating impact of renewable energy and innovation on environmental quality
(Natural Resources Forum, 2025-05) Pal, Shreya;; Villanthenkodath, Muhammed Ashiq; Ansari, Mohd Arshad
This study explores the complex interactions between renewable energy production, innovation, economic growth, institutional quality, economic globalization, and CO2 emissions in OECD countries and emerging economies from 1996 to 2021. Results from Driscoll–Kraay standard error and feasible generalized least square reveal distinct trends: renewable energy production leads to increased CO2 emissions in emerging economies but significantly reduces emissions in OECD countries. Besides, residential and non‐residential innovation, along with total innovation, show similar effects. Notably, technology‐moderated renewable energy production effectively lowers CO2 emissions in both country groups. Similarly, economic growth enhances environmental quality in both sets of countries. However, institutional quality needs improvement in emerging economies, while current levels suffice in OECD nations to maintain environmental quality. Moreover, the study emphasizes the importance of considering globalization's impact on CO2 emissions, advocating for international agreements to leverage globalization for environmental benefits. Overall, these findings provide valuable insights for shaping renewable energy policies, fostering innovation, promoting economic growth, enhancing institutional quality, and harnessing globalization efforts to reduce CO2 emissions and enhance environmental quality
An asymmetric analysis of overall globalization on financial inclusion
(Journal of Financial Economic Policy, 2025-02-21) Villanthenkodath, Muhammed Ashiq; Pal, Shreya
Purpose Financial inclusion is acknowledged as a critical facilitator of the United Nations Sustainable Development Goals agenda for 2030. Therefore, this study aims to examine the asymmetric role of overall globalization on financial inclusion by controlling economic growth, urbanization and population for the selected South Asian countries. Design/methodology/approach Applying the nonlinear autoregressive distributed lag approach to cointegration explores the impact of overall globalization on financial inclusion in the presence of additional variables like economic growth, urbanization and population in the designed financial inclusion function. Findings The estimated econometric outcomes show that increasing overall globalization fosters financial inclusion while decreasing overall globalization reduces financial inclusion. Furthermore, a positive (negative) change in economic growth leads to an increase (decrease) in financial inclusion while varying short-run findings. Moreover, both positive and negative changes increase financial inclusion in the long run in connection with urbanization. Although the short-run results are not significant, the study finds that an increase (decrease) in population leads to a decrease (increase) in financial inclusion. Finally, to support the promotion of financial inclusivity throughout South Asia, several policies pertaining to financial inclusion are suggested. Originality/value To the best of the authors’ knowledge, this is the first study to examine the asymmetries related to overall globalization on financial inclusion by controlling economic growth, urbanization and population.
Assessing the relative impact of inland and marine fish production on fishing load capacity factor: Insights for sustainable fisheries management
(Marine Pollution Bulletin, 2025-06) Villanthenkodath, Muhammed Ashiq; Pal, Shreya
Promoting environmental sustainability, including the preservation of marine ecosystems, is a shared responsibility that requires the active engagement of diverse stakeholders. Thus, this study aims to find out how fish production in inland and marine areas affects the fishing load capacity factor in India from 1990 to 2022, considering economic growth and renewable energy consumption as additional covariates. For this purpose, the study employs both the Dynamic Auto-Regressive Distributed Lag (DYNARDL) simulations and the Auto-Regressive Distributed Lag (ARDL) bound testing models. The findings reveal a valid long-run relationship for the fishing load capacity factor function. Further, the findings show that inland fish production improves the fishing load capacity factor in the long run, though this effect is statistically insignificant in the short run. In contrast, marine fish production degrades the fishing load capacity in both the short and long run. Similarly, economic growth has significantly reduced the fishing load capacity factor in both time frames. Conversely, renewable energy consumption also shows a long-run negative impact on the fishing load capacity factor, although the short-run effect is insignificant. Therefore, the research findings suggest that the Indian government should prioritize implementing green economic policies for the fisheries sector, including environmental financing and promoting sustainable fishery products not limited to inland fish production but for marine fish production, to improve the fishing load capacity factor.
Economic and agricultural contributions of fisheries in India: a comparison between inland and marine fisheries
(SN Business and Economics, 2025-12-08) Villanthenkodath, Muhammed Ashiq; Pal, Shreya
This study investigates the impact of marine and inland fisheries on economic and agricultural growth in India using the Autoregressive Distributed Lag (ARDL) model, with robustness checks through the Dynamic Ordinary Least Squares (DOLS) method, incorporating capital and labor as additional determinants. The findings reveal that marine fisheries positively influence economic growth in the short run but have no significant long-term impact, whereas they enhance agricultural growth in the long run but negatively affect it in the short term. However, inland fisheries contribute positively to economic growth in both time horizons but adversely impact agricultural growth. Additionally, capital investment fosters economic growth but hampers agricultural growth, while labor negatively affects both sectors over time. Based on these findings, the study proposes targeted policies, including temporary subsidies, tax incentives, and infrastructure development to maximize the short-term economic benefits of marine fisheries, while ensuring long-term sustainability through marine eco-tourism, and responsible fishing practices. For agriculture, coastal resource management programs and environmental regulations can mitigate short-term disruptions, whereas fish-based organic fertilizers and integrated coastal aquaculture systems can maximize long-term benefits. To balance the impact of capital investment, policies should encourage sustainable farming technologies and efficient land-use planning. Additionally, labor productivity can be improved through skill development, mechanization, and agri-tech adoption. This study’s novel contribution lies in segregating the effects of marine and inland fisheries on economic and agricultural growth, making it the first of its kind in the Indian context, providing valuable insights for policymakers to optimize fisheries’ role in fostering sustainable development.
Fueling a greener tomorrow: The impact of energy diversification on green growth
(Natural Resources Forum, 2025-08) Pal, Shreya; Villanthenkodath, Muhammed Ashiq; Ansari, Mohd Arshad
Motivated by the necessity of attaining carbon neutrality and striking a balance between clean and conventional energy sources, the emphasis is on how urgent it is to combat climate change and make the switch to sustainable energy systems. In this context, the current study aims to examine the effects of energy diversification on green growth, considering such complementary factors as green technology, human capital, remittance inflows, foreign direct investment inflows, trade openness, and gross fixed capital formation. An empirical analysis is conducted by framing a green growth function in the panel data framework which is analyzed using the dynamic standard correlated model for the BRICS nations (Brazil, Russia, India, China, and South Africa) for the period between 1995 and 2020. The results show that (i) energy diversification exerts a dampening effect on the trajectory of green growth, (ii) the process of green growth was affected due to green technology and foreign direct investment inflows, (iii) underscores the pivotal role of human capital and gross fixed capital formation in bolstering the green growth trajectory, (iv) despite their potential relevance, remittance inflows and trade openness exhibit negligible impact within the framework of the green growth function, thus underscoring their limited contribution to the overarching sustainable development. The practical policy recommendations and invaluable insights provided by these empirical findings are instrumental in fostering green growth among the BRICS countries. Moreover, it contributes to the discourse on sustainable development by providing a solid foothold for informing the development of relevant policies in similar situations around the world