Browsing by Author "Hunjra, Ahmed Imran"

Now showing 1 - 6 of 6

Citation - WoS: 40
Citation - Scopus: 40
Do asymmetric information and leverage affect investment decisions?
(Elsevier B.V., 2023) Muhammad Munir Ahmad; Ahmed Imran Hunjra; Dilvin Taşkın; Taskin, Dilvin; Hunjra, Ahmed Imran; Ahmad, Muhammad Munir
We investigate the impact of asymmetric information on the investment decisions of firms and analyze the effect of asymmetric information on the over-investment and under-investment of firms. Further we examine the effect of leverage on the investment behavior of firms and check this association in the presence of asymmetric information. We extract data from DataStream of 280 non-financial firms listed at Pakistan Stock Exchange over the period of 2000 to 2018. We apply the Fixed Effect Model to analyze the data and System Generalized Method of Moments to check the robustness of the results. We find that asymmetric information negatively affects the investment decisions of firms. Due to asymmetric information investment decreases rapidly as compared to increase in investment. Further leverage is an important determinant of investment decisions and the presence of asymmetric information increases the adverse effect of leverage on the investment of firms. © 2023 Elsevier B.V. All rights reserved.
Renewable Energy Transition for Sustainable Economic Development: Implications for Green Recovery in the Post COVID-19 Era
(World Scientific, 2024) Zureigat, Qasim; Hunjra, Ahmed Imran; Hanif, Mahnoor; Taşkln, Dilvin
Citation - WoS: 14
Citation - Scopus: 20
Role of ethnic conflicts regularization and natural resource abundance in sustainable development
(Elsevier Ltd, 2023) Muhammad Azam; Ahmed Imran Hunjra; Dilvin Taşkın; Mamdouh Abdulaziz Saleh Al-Faryan; Taskin, Dilvin; Hunjra, Ahmed Imran; Al-Faryan, Mamdouh Abdulaziz Saleh; Azam, Muhammad
This study sheds light on the critical role of natural resources ethnic conflicts and institutional factors in promoting sustainable development in developing countries and has significant implications for resource policy. It employs both static and dynamic panel data approaches to analyze a unique dataset of 55 developing economies from 1991 to 2021. The results indicate that natural resource abundance per capita including oil per capita coal per capita and forests as well as ethnic conflicts and institutional regulations significantly impact sustainable development. Moreover the study reveals that ethnic conflicts and regulations positively moderate the impact of natural resource abundance on sustainable development. The research also demonstrates that different factors have distinct effects at various quantiles using the bootstrap method. These findings have significant implications for resource policy emphasizing the need for policymakers to address ethnic conflicts and implement regulatory measures for natural resource markets to foster sustainable development policies in developing nations. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 109
Citation - Scopus: 132
Role of financial development for sustainable economic development in low middle income countries
(Elsevier Ltd, 2022) Ahmed Imran Hunjra; Muhammad Azam; Maria Giuseppina Bruna; Dilvin Taşkın; Taskin, Dilvin; Hunjra, Ahmed Imran; Bruna, Maria Giuseppina; Azam, Muhammad
This paper investigates the impact of financial development on sustainable economic development (SED) in low-middle-income countries. It adopts an unbalanced panel data approach on 50 low-and middle-income countries over the period of 1991–2020. We apply Fixed Effects (FE) the Feasible Generalized Least Squares (FGLS) and Bootstrap Panel Quantile Regression to analyze the results. We find that sustainable economic development is positively affected by financial development natural resource abundance international tourism trade openness and foreign direct investment. Additionally financial development plays a positive moderating role through natural resource abundance. Foreign direct investment (FDI) also enjoys a positive moderating role through international tourism. The Bootstrap Quantile outcomes point out the diversified effects of the addressed variables at different quantiles. Accordingly it is crucial to consider financial development alongside socioeconomic variables such as trade openness aging population and FDI to identify and address sustainable economic development issues. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 74
Citation - Scopus: 76
The impact of geopolitical risk- institutional governance and green finance on attaining net-zero carbon emission
(ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2024) Ahmed Imran Hunjra; Muhammad Azam; Peter Verhoeven; Dilvin Taskin; Jiapeng Dai; Verhoeven, Peter; Taskin, Dilvin; Hunjra, Ahmed Imran; Azam, Muhammad; Dai, Jiapeng
This research investigates the impact of geopolitical risk institutional governance and green finance on environmental outcomes specifically focusing on carbon emissions and ecological footprint. Utilizing the dynamic CS-ARDL method and aggregated mean group analysis on a panel dataset covering 21 nations from 2000 to 2021 our findings reveal that heightened geopolitical risk leads to both short and long run increases in carbon emissions and the ecological footprint. Our study finds both a direct as well as indirect connection between governance green finance and environmental outcomes in both the short and long run highlighting the nuanced impact of governance on the formulation of environmental policies and regulatory frameworks. The results emphasize the need for targeted strategies including focused investments and incentives for sustainable finance particularly in conflict-affected regions. Furthermore our research underscores the enduring impact of historical events such as wars on contemporary environmental indicators emphasizing the importance of proactive conflict prevention measures. Our research suggests that policymakers should adopt comprehensive strategies that prioritize emission reduction during short-run spikes in geopolitical risk while maintaining a steadfast commitment to long-run sustainability.
Citation - WoS: 3
Citation - Scopus: 3
Time and frequency-based effect of energy-related R&D investments on power sector CO2 emissions: evidence from leading R&D investing countries by WLMC approach
(SPRINGER, 2025) Tevfik Kartal; Dilvin Taskin; Ahmed Imran Hunjra; Taşkın, Dilvin; Hunjra, Ahmed Imran; Kartal, Mustafa Tevfik
Environmental pollution has become highly important for countries and societies because climate change and global warming are stimulated by increasing carbon dioxide (CO2) emissions. Hence all related parties have been searching for solutions. Considering the high role of energy use in causing CO2 emissions energy-related research and development (R&D) investments are considered a strategic tool to curb the emissions. Accordingly the study analyzes the effect of energy-related R&D investments on power sector CO2 emissions. In doing so the study examines leading R&D investing countries (namely Canada-CAN, Switzerland-CHE, Germany-DEU, France-FRA, Japan-JPN, Norway-NOR, United States-USA) considering three R&D investment sub-types (i.e. energy efficiency R&D investments-EEF, renewable energy R&D investments-RRD, nuclear energy R&D investments-NRD) uses data from 1985/Q1 to 2022/Q4 and performs Wavelet Local Multiple Correlation (WLMC) approach to analyze over times and frequencies. The results show that (i) the effects of R&D investments are weak (strong) at lower (higher) frequencies, (ii) the effects of R&D investments vary based on times frequencies and countries, (iii) the most dominant R&D type is EEF (CHE DEU FRA & JPN) RRD (CAN & NOR) and NRD (USA), (iv) there is an important externality among R&D types. Thus the findings reveal the time frequency and country-based varying effect of R&D investments on power sector CO2 emissions implying a need for comprehensively balanced planning for R&D investments. Hence the countries should take the highly effective R&D investment types in combating power sector CO2 emissions allocate further budget to the effective ones and re-consider the budget distribution among the R&D types.