34 research outputs found

    Energy consumption, economic growth, trade and financial development nexus in south asia

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    This study contributes to the literature by exploring the impact of energy consumption, trade and financial development on growth in five South Asian countries over 1980-2010. The panel co-integration approach is employed to examine the long run association and granger causality analysis for direction. The PMG estimation approach is used to address the problem of heterogeneity. Panel co-integration test expresses a long run relationship between growth, energy, trade and financial development. Our findings express that financial development, energy and trade positively affect the economic growth. In long run, bidirectional relationship exists among growth and energy, unidirectional causality is running from trade and financial development to growth

    IMPACT OF FIRMS RELATIONSHIP WITH PAST AND EXISTING SUPPLIERS ON FUTURE SUPPLIER SELECTION DECISIONS: A FOCUS GROUP STUDY

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    Supplier selection is a critical process that directly affects overall firms’ performance. There are various factors that come into play when firms are establishing supplier selection criteria. One of the key factors that directly influence firms’ decision towards establishing supplier selection criteria is their relationships with current and previous suppliers. In this study, we qualitatively explore the impact of few decision biases that generates from firms’ relationship with existing or previous suppliers on firms’ supplier selection criteria for new suppliers. Focus group interviews were used as a tool to collect qualitative data. The data was analyzed, and results revealed that the selection criteria for new supplier is affected by reference point bias in decision making based on failed relationship between firm and a supplier. Keywords: Decision making; Supplier selection; Firms’ relationships; Selection criteri

    Financial Development and Economic Growth:The Role of Energy Consumption

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    The study investigates financial development and economic growth nexus, incorporating use of energy resources for Pakistan for 1980-2016, using Johansen co-integration and granger causality approach. The results of Johansen test for co-integration show the link between financial development, energy and economic growth in the long time span. The findings of granger causation test uncovered a two-way causality between capital and economic growth. The one-way causality exists from economic growth in energy and financial development. The findings also exposed the one-way causality from capital formation and exports to use of energy. The government should take steps to make financial sectors stronger as it has a great role in increasing the growth of an economy

    Scientific papers citation analysis using textual features and SMOTE resampling techniques

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    Abstract Ascertaining the impact of research is significant for the research community and academia of all disciplines. The only prevalent measure associated with the quantification of research quality is the citation-count. Although a number of citations play a significant role in academic research, sometimes citations can be biased or made to discuss only the weaknesses and shortcomings of the research. By considering the sentiment of citations and recognizing patterns in text can aid in understanding the opinion of the peer research community and will also help in quantifying the quality of research articles. Efficient feature representation combined with machine learning classifiers has yielded significant improvement in text classification. However, the effectiveness of such combinations has not been analyzed for citation sentiment analysis. This study aims to investigate pattern recognition using machine learning models in combination with frequency-based and prediction-based feature representation techniques with and without using Synthetic Minority Oversampling Technique (SMOTE) on publicly available citation sentiment dataset. Sentiment of citation instances are classified into positive, negative or neutral. Results indicate that the Extra tree classifier in combination with Term Frequency-Inverse Document Frequency achieved 98.26% accuracy on the SMOTE-balanced dataset

    Do international migration and remittances reduce poverty in developing countries?

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    International migration and remittances have an important role in economic and social development of the developing countries as it helps in achieving the gains of globalization. This paper endeavors to explore the relationship by forming and evaluating a new data set on foreign remittances, international migration, poverty and inequality in South Asian countries. As poverty and income inequality are the prime issues faced by the developing countries meanwhile a handsome number of skilled and educated workers of such countries is employed abroad in the high income countries, so the foreign remittances sent by these workers to home countries is expected to have positive impacts on poverty reduction. The contribution of foreign remittances in the total income of South Asia is 4.2% which shows a significant proportion of GDP and it has significant impact on poverty alleviation

    Improved Model Predictive Direct Power Control for Parallel Distributed Generation in Grid-Tied Microgrids

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    This research proposes an improved finite control set direct power model predictive control method (FCS-DPMPC) for grid-tie distributed generation (DG). FCS-DPMPC predicts the system outcomes using the system model. During the next sampling time, a voltage vector is defined using the cost function to minimize the power ripple, consequently allowing flexibility for power regulation. Furthermore, the impact of implementing a one-step delay is studied and compensated through a model forecast pattern. In addition, a new two-step horizon technique has been developed to minimize switching frequency and computation burden. Simulation results for single DG and parallel operated DGs in a grid-tie manner confirm the effectiveness of the suggested control strategy, which signifies that this is an appropriate approach for distributed generation in microgrids.© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed

    Do international migration and remittances reduce poverty in developing countries?

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    International migration and remittances have an important role in economic and social development of the developing countries as it helps in achieving the gains of globalization. This paper endeavors to explore the relationship by forming and evaluating a new data set on foreign remittances, international migration, poverty and inequality in South Asian countries. As poverty and income inequality are the prime issues faced by the developing countries meanwhile a handsome number of skilled and educated workers of such countries is employed abroad in the high income countries, so the foreign remittances sent by these workers to home countries is expected to have positive impacts on poverty reduction. The contribution of foreign remittances in the total income of South Asia is 4.2% which shows a significant proportion of GDP and it has significant impact on poverty alleviation

    QUANTITATIVE COMPARISON OF HANDGRIP STRENGTH BETWEEN CARDIAC PATIENTS AND AGE MATCHED HEALTHY CONTROLS USING A HANDHELD DYNAMOMETER

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    OBJECTIVE: To determine the quantitative comparison of handgrip strength between cardiac patients and age matched healthy controls using a handheld dynamometer. METHODS: This quantitative comparison cross-sectional study was conducted at University of Lahore teaching hospital, Lahore from 17th, October 2017 to 5th February 2018. Twenty cardiac and twenty age matched healthy participants were selected using consecutive (non-probability) sampling technique. After approval from ethical committee, data was collected using questionnaire. Measurements were taken of grip strength of both hands by using Jammer Dynamometer. This method was repeated three times in order to obtain mean value of both hands. RESULTS: In this study 40 subjects were studied with mean age of the participants as 62.08±7.63years. Among them 23(57.5%) were male and 17(42.5%) were female. Mean age of males were 65±7.37years whereas mean age of females were 64.11±7.75years. Out of twenty cardiac patients, 12(60%) male and 5 (25%) female were suffering from myocardial infarction, 3(15%) female had Angina. Twenty participants of age-matched healthy individual group included 11 (55%) males and 9 (45%) females. In quantitative comparison of the dominant handgrip strength of cardiac patients (54.28 ± 27.75) and age matched healthy control (74.78±30.33) there was noteworthy difference in mean values of both groups with significant p-value of 0.032 whereas in the strength of non-dominant hand grip in cardiac patients (54.11±26.46) and age matched healthy control (71.03±29.25), no significant difference was recorded. CONCLUSION: Grip strength of dominant hand is less in cardiac patients as compared to healthy normal individual with significant relationship whereas there is no significant difference among non-dominant hand strength in both groups

    Impact of Economic Growth, Energy Consumption and Urbanization on Carbon Dioxide Emissions in the Kingdom of Saudi Arabia

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    The Kingdom of Saudi Arabia has witnessed unprecedented economic growth in recent decades, propelling it onto the global stage. However, this rapid growth is often associated with a notable increase in carbon dioxide emissions, which carry significant environmental ramifications. In light of this pressing concern, this research undertakes a comprehensive examination of the intricate relationships between economic growth, energy consumption, urbanization, and carbon dioxide emissions within the Kingdom of Saudi Arabia from 1980 to 2020. This study employs autoregressive distributed lag approach to uncover the multifaceted dynamics at play. The empirical findings of the study reveal a compelling narrative about the Kingdom's natural landscape. Particularly noteworthy is the revelation that economic growth, urbanization, and energy consumption emerge as pivotal long-term drivers of escalating pollution. These findings underscore the critical necessity for policies that strike a balance between economic development and environmental preservation. Furthermore, the study disentangles the intricate web of causation among these factors. It becomes evident that economic growth and pollution exhibit bidirectional causality, illuminating the intricate connection between economic prosperity and environmental consequences. Additionally, commercial activities have been empirically shown to exert a substantial influence on pollution levels in the Kingdom of Saudi Arabia. To address these challenges, a pivotal shift towards a low-carbon technological revolution is proposed as a means of achieving sustained economic development. This transition towards environmentally friendly technologies holds the potential to decouple economic growth from environmental degradation, paving the way for a greener and more prosperous future for the Kingdom of Saudi Arabia

    Impact of Innovation on CO2 Emissions in South Asian Countries

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    Across the globe, human lifestyles are accelerating carbon emissions, and this phenomenon is especially pronounced in developing nations. As the world grapples with the compelling imperative to address severe environmental challenges, technology has emerged as a steadfast ally. Over recent decades, the advancement of cutting-edge technology and the granting of patent rights have ignited a profound discourse on novel approaches to mitigating environmental threats. In recent years, there has been a growing interest in investigating how innovations might assist in reducing carbon emissions. The current study looks at how innovation affects carbon dioxide emissions in South Asian nations. The goal of this study is to use panel OLS and fixed effects methodologies to examine the influence of innovation on CO2 emissions in five South Asian nations from 1980 to 2019. The study's findings show that carbon dioxide emissions are negatively impacting environmental quality, while technological developments help to lower these carbon emissions. The findings argue for the development of initiatives to foster and expand technical innovation, particularly in South Asian countries. This research underscores the imperative of harnessing innovation to confront the immediate environmental challenges that loom large in the twenty-first century, as we strive for a more sustainable and environmentally responsible future
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