104 research outputs found
Impact of ICT Adoption and Governance Interaction on Food Security in West Africa
No full textThe impact of the interaction of governance and information and communication technologies (ICT) adoption on food security in West Africa is investigated in this study. The study engaged the system generalised method of moments (GMM) approach on a panel data of 15 West African countries. The data used for the study are obtained from the world development indicators (WDI) and world governance indicators (WGI), for the period 2005 to 2018. The findings show that good governance (government effectiveness and efficient anti-corruption control) can boost food security by between 12% and 20%. Furthermore, the findings show that a 1% rise in ICT adoption may boost food security by 12% to 15%. In explaining the level of food security, the relationship between governance and ICT adoption is positive and significant. This implies that ICT and governance (government effectiveness) interaction may have about 15% positive influence on food security, while ICT and control of corruption interaction may positively influence the level of food security by 8%. The study concludes by recommending that to enhance food security in West Africa, effectiveness in governance and ICT adoption are crucial
Prevalence of Eating Disorders among Medical Students: A Study from Lahore, Pakistan
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Ecofeminism and Natural Resource Management: Justice Delayed, Justice Denied
No full textWomen have a right to excel in all spheres of activity. However, their roles are mainly confined in the resource extraction industry due to masculinity bias. African women are considered exemplary cases where women have low access to finance and economic opportunities to progress in the natural resource industry. This study examines the role of women’s autonomy in mineral resource extraction by controlling ecological footprints, financial development, environmental degradation, economic growth, and changes in the general price level in the Democratic Republic of the Congo data from 1975–2019. The autoregressive distributed lag estimates show that in the short-run, women’s autonomy decreases mineral resource rents; however, this result disappears in the long-run and the positive role of women’s autonomy in increasing resource capital is confirmed. Ecological footprints are in jeopardy from saving mineral resources both in the short- and long-term. Financial development negatively impacts mineral resource rents, while women’s access to finance supports the mineral resource agenda. The positive role of women in environmental protection has led to increased mineral resource rents in the short- and long-term. Women’s social and economic autonomy increases mineral resource rents in the short-term, while it has evaporated in the long-term. The Granger causality has confirmed the unidirectional linkages running from women’s green ecological footprints, access to finance, and women participating in environmental protection to mineral resource rents in a country. The variance decomposition analysis has shown that women’s economic autonomy and access to finance will exert more significant variance shocks to mineral resource rents over the next ten years’ period. The results conclude the positive role of women’s freedom in the mineral resource sustainability agenda. Thus, there is a high need to authorize women through access to finance and economic decisions to restore natural resource capital nationwide
Effect on Brand Loyalty in Mobile Phone Purchasing (A Case Study In Bahawalpur, Pakistan)
No full textBrands are the key to sales increase in consumer markets. They make a relationship between the consumers and the company. Brand loyalty is a consumer’s preference to purchase a particular product or service at first or repeatedly in a competitive market. The general purpose of this study is to investigate the factors leading to brand loyalty in service sector. Specifically, we are concerned to observe the factors affecting brand loyalty in mobile phone purchasing in Bahawalpur, Pakistan. The sample size of 150 is taken through convenient sampling method. The survey method is used to collect the data from the respondents through self-administered questionnaire. The regression analysis approved the significant positive relationship of the proposed factors with brand loyalty. </jats:p
Digital and precision farming, emissions trade-offs, and food crop yields in Pakistan
No full textClimate change, low productivity, and environmental degradation are jeopardizing Pakistan's agricultural sector, whose sustainability and resilience can be potentially improved using agricultural technology (AgriTech). This study examines the relationship between digital technology, precision farming, methane (CH4) and nitrous oxide (N2O) emissions, and Pakistan's grain crop yields to determine how modern technology impacts ecologically responsible farming. The study used Autoregressive Distributed Lag bounds testing to explore how data analytics, modern farming technologies, and agricultural value-added (AGRI) affect grain crop yields in the short and long run. Long-and short-term crop yields were reduced by AGRI. Data analytics could only produce short-term advantages, but precision agriculture tools and digital technologies assisted in enhancing yields significantly. CH4 and N2O emissions were significantly associated with yield growth, suggesting efficiency trade-offs. This study found that digital technology is an intensive farming method, resulting in higher yields linked to higher input consumption and emissions. The technology also enabled precision agriculture to increase productivity with lower environmental impacts. Taken together, the findings of the current study collectively underline the need to merge smart farming technologies with environmentally friendly methods to boost Pakistan's agricultural productivity and sustainability
Green hydrogen hope: How strategic budget allocations translate to emission reductions
No full textGreen hydrogen technology is crucial in reducing carbon emissions and advancing Sustainable Development Goals. This study explores the impact of green hydrogen technology budgets on carbon emissions in the top 10 countries with the highest R&D investment in green hydrogen technology (Japan, Germany, USA, China, France, South Korea, UK, Netherlands, Australia, and Canada) by using data from 2012 to 2023. Unlike previous studies, which depended on panel data techniques and often overlooked the specific economic landscapes of individual countries, this research employs the sophisticated Quantile-on-Quantile method to assess each country's unique patterns and behaviors. Findings reveal a strong negative relationship between green hydrogen budgets and carbon emissions in most selected economies. However, Canada and Australia show a mixed pattern. The findings highlight the need for policymakers to develop tailored strategies that leverage green hydrogen technology to reduce emissions and support sustainable development effectively
From chalk to code: asymmetric nexus between artificial intelligence and educational expenditures
No full textThe rapid advancement of artificial intelligence has prompted significant changes in various sectors, including education. This transformation has led to evolving educational investment as institutions increasingly integrate artificial intelligence (AI) technologies into their teaching and administrative processes. This study examines the asymmetric impact of artificial intelligence on educational expenditures across ten selected nations with advanced AI implementation (USA, China, South Korea, Japan, Germany, UK, Canada, Israel, Singapore, and Sweden). Employing the Quantile-on-Quantile method, the analysis surpasses traditional techniques that may ignore country-specific nuances in panel data research. This approach enables the examination of relationships between variables for each nation individually, thereby improving the accuracy of the findings and providing a valuable understanding of each country’s distinctive characteristics. The results demonstrate that artificial intelligence plays a pivotal role in boosting educational expenditures across most examined countries, each exhibiting distinct trends. These findings underscore the urgent need for policymakers to conduct comprehensive evaluations and develop targeted strategies to navigate the complex relationship between AI and educational investment. By doing so, they can make evidence-based, strategically tailored decisions that address the unique needs of each country
Moderating effect of innovation on corporate social responsibility and firm performance in realm of sustainable development
No full textImpact of world uncertainty on financial stability in emerging markets
No full textThe intricate link between world uncertainty and financial stability stems from the far-reaching impacts of heightened uncertainty driven by geopolitical, economic, and systemic factors. This complex interplay underscores the importance of understanding how uncertainty propagates in financial markets, ultimately influencing their resilience and well-being. The present investigation assesses the asymmetric impact of world uncertainty on financial stability in selected emerging nations (India, China, Russia, Brazil, Mexico, Turkey, Indonesia, South Africa, Thailand, and Malaysia). Previous investigations have used panel data to examine the relationship between global uncertainty and financial stability. Moreover, these studies commonly ignored the asymmetries in this relationship across several nations. Contrarily, this work uses the Quantile-on-Quantile tool to estimate this association for each nation individually. This technique delivers an in-depth, global perspective while providing a personalized, country-specific understanding. The results demonstrate that, within specific data quantiles, world uncertainty reduces financial stability across most of the selected nations. Moreover, the results exhibit various asymmetries between variables in the analyzed economies. These disclosures underscore the importance of financial policy in conscientiously measuring and competently guiding strategies across multiple levels of financial stability and global uncertainty
AI-driven renaissance: Revolutionizing technology through industrial artificial intelligence in European economies
No full textIndustrial Artificial Intelligence is critical in shaping technological innovation by optimizing research and development, enhancing decision-making, and improving industrial efficiency. This research investigates the asymmetric relationship between industrial artificial intelligence and technological innovation in the top ten European nations, utilizing industrial artificial intelligence (Germany, the UK, France, Sweden, the Netherlands, Switzerland, Belgium, Spain, Italy, and Poland). Unlike previous investigations that employed panel data methods, this study implements the Quantile-on-Quantile technique to capture country-specific asymmetric dynamics between variables. Findings reveal a predominantly positive relationship between industrial artificial intelligence and technological innovation, varying across different quantiles and nations. The degree of asymmetry suggests that policy decisions should consider fluctuations in the adoption and innovation levels of artificial intelligence across countries. These insights provide valuable guidance for policymakers and industries seeking to maximize the benefits of artificial intelligence-driven technological advancements
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