|
on Economics of Strategic Management |
|
Issue of 2024‒07‒22
six papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Sulehri, Fiaz Ahmad; Audi, Marc; Ali, Amjad |
| Abstract: | Controlling ecological deterioration is critical for the well-being of current and future generations, as it ensures a sustainable environment that promotes health, productivity, and the general quality of life. This study investigates the interplay between innovation, economic growth, and ecological impact across 18 countries, which collectively account for approximately 64% of global greenhouse gas emissions, using data from 2000 to 2022. Using the structural equation modeling approach, we investigate how the regulatory framework moderates and economic growth mediates these complex relationships. The empirical results reveal that innovation positively impacts economic growth, but this effect is statistically insignificant. Similarly, economic growth contributes significantly to environmental degradation. Moreover, the interaction between innovation and the regulatory framework leads to a decline in economic growth. Furthermore, innovation alone in a direct relationship, reduces ecological impact significantly but innovation and regulatory framework jointly increase ecological impact. Economic growth plays a significant role in mediating the relationship between the interaction term and ecological impact, but it does not significantly influence the relationship between innovation and ecological impact, according to empirical evidence. These insights are vital for policymakers to develop strategies that encourage sustainable growth and innovation. |
| Keywords: | Ecological Impact, Economic Growth, Innovation, Regulatory Framework |
| JEL: | C38 F64 O44 Q55 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:121288&r= |
| By: | Sulehri, Fiaz Ahmad; Ali, Amjad |
| Abstract: | The concept of sustainable development holds significant importance for both current and future generations. This research examines the different pathways and relationships among sustainable development, stock market performance, foreign direct investment, regulatory framework, and innovation. The structural equation modeling technique used and analysis have been conducted using a sample of 24 countries that contribute around 65% of global greenhouse gas emissions over the period from 2000 to 2019. The empirical analysis, based on direct effects, confirms that innovation enhances stock market performance and necessitates stringent regulations. Conversely, innovation reduces foreign direct investment. Similarly, a set of regulations and stock market performance have an adverse impact on sustainable development. Additionally, the empirics of indirect effects reveal that innovation and stock market performance encourage foreign direct investment by using regulations as mediators. Moreover, innovation reduces sustainable development indirectly, considering stock market performance and foreign direct investment as mediators. |
| Keywords: | Stock Market Performance, Innovation, Foreign Direct Investment, Regulatory Framework, Sustainable Development, Structural Equation Model |
| JEL: | F21 G18 Q56 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:121286&r= |
| By: | Gnekpe, Christian; Coeurderoy, Regis; Mulotte, Louis (Tilburg University, School of Economics and Management) |
| Date: | 2023 |
| URL: | https://d.repec.org/n?u=RePEc:tiu:tiutis:8f11908f-00fd-4ab3-b93f-ddf3556f7782&r= |
| By: | Maria José Sousa (ISCTE Instituto Universitário de Lisboa) |
| Abstract: | Artificial Intelligence (AI) has emerged as a focal point for researchers and industry experts, continuously redefined by technological advancements. AI encompasses the development of machines impersonating human cognitive processes, such as learning, reasoning, and self-correction. Its wide-ranging applications across industries have showcased its increasing precision and efficiency, and Agriculture has also embraced AI to increase income and efficiency. In this regard a literature review to comprehensively understand the concept, existing research, and projects related to AI in agriculture was performed. Moreover, this paper approaches the potential of AI in agriculture practically, addressing the emergence of new methods and practices, using a case study approach, and analyzing the perceptions of impacts of AI in agriculture, from experts, academics, and agriculture professionals regarding the application of AI. It contributes to real application development, offering insights that resonate within academic and practical dimensions. |
| Keywords: | Artificial Intelligence, Agriculture, Efficiency, Quantitative analysis |
| JEL: | D20 Q16 |
| URL: | https://d.repec.org/n?u=RePEc:mde:wpaper:180&r= |
| By: | Nguyen, Quang Khai |
| Abstract: | In the context of emerging countries trying to attract foreign investors, building governance strategies and risk management of firms is an increasing concern. This study investigates the impact of financial flexibility strategies on the risk management effectiveness of firms and mechanism of these impacts by focusing on Vietnamese listed firms by applying the fixed effect and system GMM methods on a sample of 635 Vietnamese listed firms during the 2010–2021 period to derive empirical models under the high risk-high return approach. We also applied robustness tests to ensure that the results are reliable. We also investigate the level of risk management effectiveness among these firms during the 2010–2021 period. We found that financial flexibility strategies negatively impact risk management effectiveness of firms through reducing both firm risk and firm performance. Furthermore, we found that the degree of risk management effectiveness differs between low- and high-risk firms in Vietnam, with low-risk firms displaying more effective risk management compared to high-risk firms. Our research shows that financial flexibility strategies are not conducive to risk management effectiveness; however, firms can control the impact of flexibility strategies on risk management by controlling firm performance and risk. |
| Keywords: | financial flexibility, risk management effectiveness, listed firm, Vietnam |
| JEL: | G13 G18 G3 |
| Date: | 2024–05–01 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:121162&r= |
| By: | Savona, Roberto (University of Brescia); Alberini, Cristina Maria (Center for Neural Science, New York University); Alessi, Lucia (European Commission); Baussano, Iacopo (International Agency for Research on Cancer); Dellaportas, Petros (University College London and Athens University of Economics and Business); Guerra, Ranieri (National Academy of Medicine, Italy); Khozin, Sean (Laboratory for Financial Engineering, MIT); Modena, Andrea (University of Mannheim); Pecorelli, Sergio (University of Brescia); Rasi, Guido (University of Rome Tor Vergata); Siviero, Paolo Daniele (Farmindustria); Stein, Roger M. (New York University) |
| Abstract: | A major gap exists between the conceptual suggestion of how much a nation should invest in science, innovation, and technology, and the practical implementation of what is done. We identify 4 critical challenges that must be address in order to develop an environment conducive to collaboration across organizations and governments, while also preserving commercial rewards for investors and innovators, in order to move towards a new Research Ecosystem. |
| Keywords: | research ecosystem, Covid 19 |
| JEL: | O3 |
| Date: | 2024–02 |
| URL: | https://d.repec.org/n?u=RePEc:jrs:wpaper:202402&r= |