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                <text>Does industrialization promote the emission mitigation agenda of East Africa? a pathway toward environmental sustainability</text>
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                <text>Yan Yu, Jingyi Zhao, Mohammed Musah, Michael Owusu-Akomeah, Joseph Akwasi Nkyi, Jing Li, George Oppong Appiagyei Ampong, Emmanuel Attah Kumah, Siqi Cao, Yuxiang Xu, Yingfang Shi, Liqi Wang, Can Hui, Kaodui Li</text>
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                <text>Africa’s economy continues to be characterized by increasing environmental pollution caused by anthropogenic activities. Despite the implications of environmental pollution in the continent, little attention has been paid to it, although almost all its countries are signatories to the Paris Agreement. One macroeconomic variable that has proven to be a major driver of environmental pollution in the region is industrialization. However, despite the numerous explorations on the connection between industrialization and environmental degradation, limited studies have examined the linkage amidst the series in East Africa. This study was, therefore, conducted to help fill that gap. In accomplishing this goal, econometric techniques that control cross-sectional correlations, heterogeneity, and endogeneity, among others, were employed for the analysis. From the results, the panel under consideration was heterogeneous and cross sectionally correlated. In addition, the studied series were first differenced stationary and co-integrated in the long run. The elasticities of the regressors were explored via the cross sectionally augmented autoregressive distributed lag (CS-ARDL) estimator, the cross sectionally augmented distributed lag (CS-DL) estimator, and the augmented mean group (AMG) estimator. According to the results, industrialization led to a reduction in the environmental quality in the region through high CO2 emissions. In addition, financial development, foreign direct investments, urbanization, and energy consumption were not environmentally friendly in the bloc. On the causal linkages amid the series, bidirectional causalities between …</text>
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                <text>Promoting carbon neutrality in China: do financial development, foreign direct investment, and industrialization play a material role?</text>
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                <text>Jun Yan, Kaodui Li, Mohammed Musah, Lijuan Zhang, Yutong Zhou, Dan Gao, Joseph Akwasi Nkyi, Frank Gyimah Sackey, Emmanuel Attah Kumah, Siqi Cao, Linnan Yao</text>
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                <text>One of the crucial issues confronting China is high carbon dioxide (CO2) emissions. Despite the numerous measures outlined to promote the country’s carbon neutrality target, CO2 emissions in the nation continue to increase. This means that more policy options are needed to help improve environmental sustainability (ES) in the nation. Hence, examining the relationship between financial development (FD), foreign direct investment, industrialization, and environmental sustainability in China to provide proper recommendations to drive the carbon neutrality agenda of the nation is deemed fitting. In attaining this goal, time-series data from the period 1990 to 2018 is employed. According to the results, foreign direct investment deteriorates environmental sustainability by promoting more CO2 emissions. This validates the pollution haven hypothesis (PHH). In addition, industrialization and financial development are not friendly to the nation’s environmental quality. Furthermore, economic growth and urbanization escalate environmental pollution in the nation. In addition, the interactions between financial development and foreign direct investment and between financial development and industrialization deteriorate the environment in China. Moreover, foreign direct investment and financial development have an inverted U-shaped association with environmental degradation, but industrialization and environmental pollution are not nonlinearly related. The study advocated for the implementation of measures that could help advance the carbon-neutrality targets of the nation.</text>
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                <text>Big Data Analytics in Developing Economies: Harnessing Insights and Creating Value</text>
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                <text>In a world increasingly driven by data, most developed economies are leveraging big data to achieve greater feats in various sectors of their economies. From advertisement, commerce, healthcare, and energy to defense, big data has given new insights into the huge volume of data accumulated over the past few decades that is helping reshape our knowledge and understanding of these sectors. Unfortunately, the same cannot be said about the state of big data in the developing world, where investments in IT infrastructure are dangerously low, keeping huge proportions of the population offline. This chapter discussed the challenges that exist in developing countries, which affect the smooth take-off of big data and data science as well as recommendations as to how countries and companies in the developing world can overcome these challenges to harness the benefits and opportunities presented by this …</text>
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                <text>Do financial development, urbanization, economic growth and renewable energy promote the emission mitigation agenda of Africa? Evidence from models that account for cross …</text>
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                <text>Carbon emissions from anthropogenic human activities are viewed as the major cause of pollution in the environment. The Paris Treaty came into effect to help minimize the galloping rate of global ecological pollution. The surge in global emissions has prompted other nations to change their environmental regulations to help them to attain their emission mitigation agenda. For instance, China, United States and India have improved their Nationally Determined Contributions they pledged as signatories to the Paris Accord to help them to achieve their sustainable development goals But, despite nations committing to the guidelines of this accord, ecological contamination continues to rise in the globe. To help curb the above menace, a study on the connection between financial development, urbanization, economic growth, renewable energy consumption, and environmental quality of 27 countries from North, South and East Africa over the period 1990 to 2019 was conducted. In attaining this goal, econometric techniques that are robust to heterogeneity and residual cross-sectional dependence were deemed appropriate. From the preliminary analysis, the panel was heterogeneous and cross-sectionally dependent. Also, all the series were stationary after first difference and cointegrated in the long-run. On the regression estimates via the common correlated effects mean group technique, financial development improved environmental quality in the North, South and Eastern regions by 0.56%, 0.42%, and 0.44% respectively. Also, renewable energy promoted ecological safety in the Northern and Eastern regions by 0.24% and 0.08% respectively …</text>
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                <text>Assessing the palliative aspects of green innovations in the non-linear tendencies of environmental sustainability-financial globalization nexus among West African states</text>
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                <text>Mohammed Musah, Stephen Taiwo Onifade, Elma Satrovic, Joseph Akwasi Nkyi</text>
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                <text>A reconciliation of the disagreement on whether financial globalization (FG) affects ecological footprint through the scale, technique and composition effects cannot be achieved without an explicit understanding of the direct and indirect interactions of FG with environmental sustainability. Hence, the novel perspective of this study lies in the investigation of how green innovations moderate the non-linear tendencies in the FG-environmental sustainability link among western African states given the abundance of natural resources and the prevailing pace of economic growth. The core findings are obtained from robust analysis based on cross-sectional autoregressive distributed lag (CS-ARDL) technique, the augmented mean group (AMG) technique, and the common correlated effects mean group (CCEMG) advanced estimators. Firstly, the beneficial ecological impacts of green innovations were observed. As per …</text>
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                <text>Capital structure and corporates financial sustainability: evidence from listed non-financial entities in Ghana</text>
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                <text>Yusheng Kong, Mary Donkor, Mohammed Musah, Joseph Akwasi Nkyi, George Oppong Appiagyei Ampong</text>
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                <text>This study examined the nexus between capital structure and the financial sustainability of 28 listed non-financial firms in Ghana. Panel data for the period 2008 to 2019 was used for the analysis. From the results, the panel studied was heterogeneous and cross-sectionally dependent. In addition, the variables investigated were first-differenced stationary and cointegrated in the long term. The elasticities of the predictors were explored via the common correlated effects mean group (CCEMG) estimator. From the findings, capital structure proxied by the debt and debt-to-equity ratio improved the firms’ financial sustainability via the increase in return on equity (ROE). Also, firm size and assets growth promoted the entities’ financial sustainability in all the panels; however, the association between operational efficiency and the corporates’ sustainability was heterogeneous across panels. Finally, asset tangibility significantly impacted the firms’ financial sustainability. Based on the findings, the study recommended that authorities should opt for a capital structure mix that would minimize costs and optimize the firms’ financial sustainability when making capital structure decisions.</text>
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                <text>MDPI</text>
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              <name>Title</name>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Analysis of cement production process and review of control strategies and methods</text>
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                <text>Alexander Chokhonelidze, Forgor Lempogo, William Brown-Acquaye</text>
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            <description>An account of the resource</description>
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                <text>To develop an effective control mechanism for any industrial process it is imperative to have a deep and wide ranging understanding of the process itself. This is especially true in the case of a cement grinding circuits, which is a very complex process with very complex dynamics and multivariable environment, where all the elements are interconnected. This article is aimed at providing an in-depth analysis of the cement production process in Ghana, which is mainly limited to grinding clinker into cement and its packaging and distributing. The main equipment of grinding circuits is described and the best configurations are discussed. The second part of the article discusses the most popular control methods in use for cement grinding circuits at cement plants all over the world and the ways to select the most effective control strategies for achieving higher production rates and more efficient energy use. The control strategies used by GHACEM, the largest Ghana cement producer, are also discussed.</text>
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              <elementText elementTextId="14867">
                <text>Общество с ограниченной ответственностью Издательство Мир науки</text>
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                <text>2014</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="14869">
                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=BDvl0VYAAAAJ&amp;amp;citation_for_view=BDvl0VYAAAAJ:9yKSN-GCB0IC</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="10216">
                  <text>Faculty of IT Business</text>
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            <name>Title</name>
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                <text>The financial sector of emerging markets based on digital technology evolution in the banking sector-The Ghanaian experience</text>
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                <text>Joseph Asare, Michael Nana Owusu-Akomeah, Emmanuel Atta Kumah, Stephen Owusu Afriyie, George Oppong Ampong</text>
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            <description>An account of the resource</description>
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                <text>Evaluating the financial sector of emerging markets based on digital technology evolution is crucial, as the market tends to exhibit greater fragility than in the developed markets. As a result, this study is conducted to provide a deeper understanding of the old and new realities of the financial sector of emerging markets and conducts both qualitative and quantitative analyses of technology impacts on financial sector of emerging markets. Further, the study has developed models to help emerging markets leverage digital technology to achieve sustainable financial sector growth. In addition, the SmartPLS modeling was applied to show the linkages between the characteristics of the financial sector in emerging markets and digital technologies.</text>
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              <elementText elementTextId="14862">
                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=TbSlw38AAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=TbSlw38AAAAJ:Wp0gIr-vW9MC</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="10215">
                  <text>Faculty of Computing and Information Systems</text>
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                <text>Development of a matrix model of a closed cement grinding scheme</text>
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              <elementText elementTextId="14853">
                <text>Alexander Nikolaevich Chokhonelidze, Akway Villilam Brown, Forgor Lempogo</text>
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            <description>An account of the resource</description>
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                <text>This article develops a model of a closed shredding scheme in a ball mill with a separator with high efficiency at a cement plant. Various existing approaches to the development of such models are investigated and a new one is proposed. Based on the principle of material balance and stochastic representation of particle motion in the grinding system and using grinding and classification matrices, the Markov chain model is presented for a scheme consisting of a ball mill and a separator with high efficiency. The grinding matrix is calculated using the selection and crushing functions, and the classification matrix is determined by the Tromp separator curve. The results of field experiments conducted at an experienced cement plant are used to determine model parameters. Retrospective technological data related to the operation of a pilot grinding scheme,applied to check the model and determine the limiting process conditions. Using numerical simulation, the relationships between the controlled (loading of raw materials; separator cut-off size) and the observed (cement size characteristics; productivity; specific energy consumption) parameters of the circuit are determined.</text>
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                <text>Limited Liability Company «Publishing Center «Science »</text>
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                <text>2014</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="14857">
                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=BDvl0VYAAAAJ&amp;amp;citation_for_view=BDvl0VYAAAAJ:ufrVoPGSRksC</text>
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                <text>Russian</text>
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                <elementText elementTextId="10216">
                  <text>Faculty of IT Business</text>
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            <description>A name given to the resource</description>
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                <text>The Effect of Celebrity Endorsement on Brand Promotion.</text>
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                <text>Michael Owusu-Kyei, Yusheng Kong, Michael Owusu Akomeah, Stephen Owusu Afriyie</text>
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                <text>The main objective of the study was to examine the effect of celebrity endorsement on brand promotion using Kabfam Ghana as case study. The study took a descriptive approach to the subject. The population of the study comprised all employees of Kabfam Ghana (Head Office). They are three (300) in number. Looking at the small number of population, all 300 employees were sampled out for the study. Hence the sample size for the study was 300. The study adopted a purposive sampling technique. Questionnaires have been utilized as a tool for data collecting. The Social Science Statistical Package (SPSS) was utilized for data analysis. Modern day consumers are well informed and intelligent; they know that famous people are paid for this and may not even utilize the items. Celebrity advertisement has transformed the conventional manner of marketing entirely. The study therefore concludes by identifying a positive relationship between celebrity endorsement and brand promotion. It was recommended that companies should also closely evaluate celebrities’ suitable personalities for promoting their items. Also, organizations involved should undertake cost-benefit analysis to ensure that the sum paid to the celebrities’ services is worth the usage of a celebrity.</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=TbSlw38AAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=TbSlw38AAAAJ:dhFuZR0502QC</text>
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