Browsing by Author "Dantas, Rui"
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- Another look into the relationship between economic growth, carbon emissions, agriculture and urbanization in Thailand: a frequency domain analysisPublication . Mata, Mário Nuno; Oladipupo, Seun Damola; Rjoub, Husam; Ferrão, Joaquim; Altuntaş, Mehmet; Martins, Jessica Nunes; Kirikkaleli, Dervis; Dantas, Rui; Lourenco, AntonioThis empirical study assesses the effect of CO2 emissions, urbanization, energy consumption, and agriculture on Thailand’s economic growth using a dataset between 1970 and 2018. The ARDL and the frequency domain causality (FDC) approaches were applied to assess these interconnections. The outcome of the bounds test suggested a long-term association among the variables of investigation. The ARDL outcomes reveal that urbanization, agriculture, energy consumption, and CO2 emissions positively trigger Thailand’s economic growth. Additionally, the frequency domain causality test was used to detect a causal connection between the series. The main benefit of this technique is that it can detect a causal connection between series at different frequencies. To the understanding of the authors, this is the first study in the case of Thailand that will apply the FDC approach to capture the causal linkage between GDP and the regressors. The outcomes of the causality test suggested that CO2 emissions, urbanization, energy consumption, and agriculture can predict Thailand’s economic growth in the long term. These outcomes have far-reaching implications for economic performance and Thailand’s macroeconomic indicators.
- Blockchain technology for improving land registration system in an emerging economyPublication . Mata, Pedro; Razali, Muhammad Najib; Dantas, Rui; Mata, Mário Nuno; Abdul Jalil, Rohaya; Moleiro Martins, José; Zainuddin, AinurZaireen; Yunos, Norhidayah MohdLand registration requires complex sensitive data which requires a decentralised environment. Current technology only concentrates on the database storage which is less secure and can be exposed to any misconduct. This is due to the characteristics of the database having problems with unstructured data and non-relational databases. Fraud is one the major problems and is currently a serious problem within the Malaysian land registration system. The blockchain technology creates public ledgers from all complex transactions that have high potential to replace the complicated systems with one simple database. Current practice at the land office has seen the land registration process being very centralised which requires only several persons to validate and authorise the data. Therefore, the need to identify the model of the blockchain technology for land registration is essential. In addition, the foundation of the blockchain technology for the land registration system in Malaysia should be undertaken.
- Debt market trends and predictors of specialization: an analysis of pakistani corporate sectorPublication . Khan, Kanwal Iqbal; Qadeer, Faisal; Mata, Mário Nuno; Dantas, Rui; Xavier Rita, João; Martins, Jessica NunesRecently, debt structure research has started focusing on the strategic perspective of financing choices, particularly to understand the reasons for debt specialization (DS). This paper examines trends of specialization over time and industry by using a comprehensive dataset on types of debt employed by the public limited companies during 2009–2018. The objective of the current study is to analyze the effect of debt market conditions by identifying significant predictors of DS. Time-series and cross-sectional results confirm the existence of DS, which is further validated by the findings of the cluster analysis. The empirical results indicate that overall, 61% of the companies solely rely on a single type of debt, mostly on short-term obligations accompanied by long-term secured and other debts. Moreover, small, mature, rated, group-affiliated, and low-leverage companies incline more towards this strategy. Credit rating, debt maturity, financial and interest coverage ratios serve as the primary determinants of the debt market that are significantly associated with the measures of DS. The results contribute to the capital structure literature by specifying that financing choice has an important implication in deciding the debt structure composition of the organizations.
- Impediments of green finance adoption system: linking economy and environmentPublication . Khan, Kanwal Iqbal; Mata, Mário Nuno; Moleiro Martins, José; Nasir, Dr. Adeel; Dantas, Rui; Batista, Anabela; Saghir, Mahr UmarEnvironmental deregulation has become a severe concern for public health around the world. Increased pollution and ecological degradation have diverted attention towards adopting green practices, which can be possible if the sustainable green finance system is implemented in its true spirit. But previous studies reported certain factors affecting its implementation process, particularly in developing countries. This study aims to identify and quantify the barriers to adopting a green finance system. First, it identified twenty barriers through an extensive literature review and semi-structured interviews with experts in the fields of financial management, economics, and environmental sciences. Later, eighteen factors were finalized by the consensus of panel experts, which was further used to analyze their interrelationship through Interpretive Structural Modelling (ISM). Using MICMAC analysis, these barriers were categorized based on their diving-dependence powers. Finally, the conceptual ISM model is developed that provides a clear picture of the impediments to the green finance adoption system and their flow relationship among the identified barriers at different levels. The findings suggest that global level factors: lack of pressure from international organizations and unavailability of globally acceptable green criteria are critical to the prevalence of other factors that indicate its centrality to effectively implementing the green finance system. The developed model helps in designing, implementing, and promoting eco-friendly projects. It is also recommended that an appropriate framework is required to be developed at global, country, organizational, and individual levels to deal with the barriers of the green finance adoption system.
- Implications of Governance, Natural Resources, and Security Threats on Economic Development: Evidence from Sub-Saharan AfricaPublication . Rjoub, Husam; IFEDIORA, CHUKA; Odugbesan, Jamiu Adetola; Iloka, Chiemelie Benneth; Xavier Rita, João; Dantas, Rui; Mata, Mário Nuno; Moleiro Martins, JoséSub-Saharan African countries are known to be bedeviled with some challenges hindering the economic development. Meanwhile, some of these issues have not been exhaustively investigated in the context of the region. Thus, this study aimed at investigating the implications of government effectiveness, availability of natural resources, and security threats on the regions’ economic develop ment. Yearly data, spanning from 2007 to 2020, was converted from low frequency (yearly) to high frequency (quarterly) and utilized. Data analysis was conducted using Dynamic heterogeneous panel level estimators (PMG and CS-ARDL). Findings show that while PMG estimator confirms a long-run causal effect of governance, natural resources, and security threats on economic development, only natural resources show a short-run causal effect with economic development, while the CS-ARDL (model 2) confirms the significance of all the variables both in the long and short-run. Moreover, the ECT coefficients for both models were found to be statistically significant at less than 1% significance level, which indicates that the systems return back to equilibrium in case of a shock that causes disequilibrium, and in addition, reveals a stable long-run cointegration among the variables in the model. Finally, this study suggests that the policy makers in SSA countries should place more emphasis on improving governance, managing security challenges, and effectively utilizing rents from the natural resources, as all these have severe implications for the economic development of the region if not addressed.
- Intellectual structure and evolution of accounting conservatism research: past trends and future research suggestionsPublication . Bhutta, Umair Saeed; Martins, Jessica Nunes; Mata, Mário Nuno; Raza, Ali; Dantas, Rui; Batista, Anabela; Rafiq, MuhammadAccounting conservatism (AC) is one of the components of financial reporting, and has been widely studied by academicians to identify its impact on information quality. Scholars in accounting have started to explore how AC is related to different fundamental functional areas of organizations. The interest of the scholars has resulted in an increasing number of publications in this field. In this study, we examined 408 indexed publications related to AC. This work’s objectives include analyzing the regional distribution, size, and evolution of this knowledge base by identifying key authors, documents, and journals while exploring current literature, scholarly structure, and highlighting contemporary trends. The findings of the study concluded that most of the studies are conducted in developed nations contexts. However, there are still areas that need further exploration to obtain more profound insights on the subject. This bibliometric review inspires a new generation of researchers on the topic by giving them an overview of the past studies related to AC.
- Modeling the determinants of sustainable green growth in the menat region: using the dcce-mg approachPublication . Odugbesan, Jamiu; Aghazadeh, Sanaz; Rjoub, Husam; Dantas, Rui; Correia, Anabela; Rita, João; Mata, MárioThe attempt of ensuring that economic growth is becoming greener with additional efficient use of natural capital which is captured in green growth has gained the interest of researchers, but studies in this regard on MENAT countries are scant. Thus, this study attempted to model the determinant factors of green growth in the MENAT countries using data from 1990 to 2019 and employed the Westerlund and Edgerton (2008) panel cointegration test to examine the cointegration among the variables of interest, and employed DCCE-MG technique to establish the significance of the determinant factors, while FMOLS and DOLS were utilized for robustness check. The result from the panel cointegration test revealed an existence of cointegration relationship between the variables in cases of “cross-sectional dependency” and structural breaks, which suggests that the variables move together in the long-run. Moreover, the findings from DCCE-MG estimates revealed that foreign direct investment, economic growth, renewable energy and institutional quality drives sustainable green growth in the MENAT countries, while population was found to exert negative impact on sustainable green growth. The study provides some information that will assist the policymakers in the MENAT countries to balance sustainable green growth, economic growth, internationalization, institutional quality, environmental cost, and population.
- Performance Evaluation of the Chinese Healthcare SystemPublication . Umar, Muhammad; Mata, Mário Nuno; Abbas, Adnan; Moleiro Martins, José; Dantas, Rui; Mata, PedroThis study aims to evaluate the performance of the Chinese healthcare system. It uses sustainable development goal (SDG) 3, set by the United Nations to ensure healthy lives and promote well-being for all at all ages as a benchmark. It uses data of 17 variables ranging from the year 2000 to 2017 and uses a multistage methodology to evaluate the performance. In the first stage, it uses difference in mean test to know whether or not the indicators show an improvement in the second decade of the 21st century compared to the first decade. In the second phase, simple linear regression has been used to know the rate of change of performance of every indicator over the sample period. The third step compares the performance of the healthcare sector with the sustainable goals set by the UN and the fourth phase attempts to forecast performance for the next five years i.e., 2018 to 2022. As per the results, the Chinese healthcare sector has performed very well on many fronts except alcohol consumption in males, road accidents and the incidence of non-communicable diseases. Alcohol consumption by males is touching dangerous levels. Therefore, the policies should focus on educating males to lower their alcohol consumption to stay fit and healthy.
- A Study on Balanced Scorecard and Its Impact on Sustainable Development of Renewable Energy Organizations; A Mediating Role of Political and Regulatory InstitutionsPublication . Rafiq, Muhammad; Maqbool, Saif; Moleiro Martins, José; Mata, Mário Nuno; Dantas, Rui; Naz, Shumaila; BATISTA, AnabelaOrganizational strategic programs are continuously evolving and gaining the attention of policy makers in order to construct organizations’ ecological and socioeconomic systems. The purpose of this study is to examine the relationship between the balanced scorecard (BSC) and sustainable development involving the mediated effect of political and regulatory influence. To achieve the core objectives of the research, the quantitative (positivism) research method is applied. The goal of the current research is made possible through the quantitative method because of its objective nature of reality. A total of 320 questionnaires were distributed among the different levels of managers; 280 respondents returned the questionnaire. The data are analyzed through a modern statistical tool called Smart-PLS, Partial Least Squares (PLS) is high graphical user interference software that is used to calculate Structural Equation Modeling (SEM) through PLS path modeling. Factor analysis is conducted to eliminate the variables that have no contribution and to reduce the variables to obtain better results in regression. The implications are for energy organizations that are struggling to deal with sustainable development and these tools can help them to achieve their sustainability goals. The study concludes that the adoption of BSC is essential to ensure sustainable development regardless of its challenges. Moreover, consideration of meta-constitutional rules as political influence is important to understand and address in order to mitigate financial loss. In nutshell, the use of BSC is highly recommended to eliminate the routine problems and to ensure environmental sustainability.
- Systemic acquired critique of credit card deception exposure through machine learningPublication . Dantas, Rui; Firdaus, Raheela; Jaleel, Dr. Farrokh; Mata, Pedro; Mata, Mário Nuno; Li, GangA wide range of recent studies are focusing on current issues of financial fraud, especially concerning cybercrimes. The reason behind this is even with improved security, a great amount of money loss occurs every year due to credit card fraud. In recent days, ATM fraud has decreased, while credit card fraud has increased. This study examines articles from five foremost databases. The literature review is designed using extraction by database, keywords, year, articles, authors, and performance measures based on data used in previous research, future research directions and purpose of the article. This study identifies the crucial gaps which ultimately allow research opportunities in this fraud detection process by utilizing knowledge from the machine learning domain. Our findings prove that this research area has become most dominant in the last ten years. We accessed both supervised and unsupervised machine learning techniques to detect cybercrime and management techniques which provide evidence for the effectiveness of machine learning techniques to control cybercrime in the credit card industry. Results indicated that there is room for further research to obtain better results than existing ones on the basis of both quantitative and qualitative research analysis.