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This study aims to identify factors affecting tax avoidance and tax evasion in Bangladesh and propose a future research agenda.

This paper reviewed 423 articles published between 2010 and 2023 using a systematic literature review (SLR) approach.

The review classified the factors into three categories, namely individual taxpayers, corporate taxpayers and tax administration. Income level, tax penalty, tax morale, inefficient tax return system and tax assessment process are associated with the individual’s tax avoidance and tax evasion activities. Profitability, corporate governance and financial restrictions are key factors influencing corporate taxpayers’ involvement in tax avoidance and tax evasion. Factors related to tax administration include lack of social interaction, distrust of national officials, complexities of policies, politicisation of tax authority, lack of political stability, incompetent auditing, insufficient recording, lack of administrative cooperation, lack of accountability, insufficient counselling and compromising in tax prosecution cases.

This paper provides tax regulators with insights to improve regulations and lessen tax avoidance and tax evasion activities.

This paper is the first attempt to provide guidance for academics when examining tax avoidance and tax evasion in Bangladesh.

This paper aims to systematically review the concept of homo Islamicus discussed in the existing literature. The second objective is to offer a set of criticisms of the descriptions of homo Islamicus.

In this paper prespecified eligibility criteria are applied to select articles that are indexed in Scopus and ProQuest, or published by two major publishers, ScienceDirect and Emerald, or appear on ResearchGate. A set of books related to homo Islamicus was also used as secondary sources to support the selected articles. As a result, this paper systematically reviews 53 articles and four books to synthesize the homo Islamicus.

There are four notions of homo Islamicus: Firstly, homo Islamicus as the kind of economic agent that is required to achieve Islamic economic objectives. Secondly, homo Islamicus as a defining factor that makes the difference between Islamic and conventional economics. Thirdly, homo Islamicus as an economic agent whose characteristics are something Islamic economics aims to realize. Lastly, homo Islamicus as an economic agent representing the fundamental assumption in Islamic economics.

Mapping homo Islamicus can be helpful for future researchers to conduct analyses related to homo Islamicus, especially in the context of empirical studies of the existence of homo Islamicus in economic reality. This literature review can help other researchers to understand the development of literature related to homo Islamicus.

This paper seems to be the first to systematically identify, select and synthesize the description of homo Islamicus in the literature.

This study aims to explore the potentials of adopting salam-based crowdfunding for financing the agricultural sector in Afghanistan.

It adopts a triangulation approach, consisting of a number of methods used in gathering relevant information about Afghanistan’s agricultural sector, the concept of crowdfunding and salam (forward sale) contract. These methods include library research, reviewing documents provided by Afghanistan’s banks and semi-structured interviews with Islamic finance experts.

This study finds that salam-based crowdfunding is a viable Sharīʿah-compliant investment platform, which may offer some advantages for both potential investors and farmers or entrepreneurs.

The novelty of this paper lies in the proposed structure of salam-based crowdfunding.

Current methods for flow field reconstruction mainly rely on data-driven algorithms which require an immense amount of experimental or field-measured data. Physics-informed neural network (PINN), which was proposed to encode physical laws into neural networks, is a less data-demanding approach for flow field reconstruction. However, when the fluid physics is complex, it is tricky to obtain accurate solutions under the PINN framework. This study aims to propose a physics-based data-driven approach for time-averaged flow field reconstruction which can overcome the hurdles of the above methods.

A multifidelity strategy leveraging PINN and a nonlinear information fusion (NIF) algorithm is proposed. Plentiful low-fidelity data are generated from the predictions of a PINN which is constructed purely using Reynold-averaged Navier–Stokes equations, while sparse high-fidelity data are obtained by field or experimental measurements. The NIF algorithm is performed to elicit a multifidelity model, which blends the nonlinear cross-correlation information between low- and high-fidelity data.

Two experimental cases are used to verify the capability and efficacy of the proposed strategy through comparison with other widely used strategies. It is revealed that the missing flow information within the whole computational domain can be favorably recovered by the proposed multifidelity strategy with use of sparse measurement/experimental data. The elicited multifidelity model inherits the underlying physics inherent in low-fidelity PINN predictions and rectifies the low-fidelity predictions over the whole computational domain. The proposed strategy is much superior to other contrastive strategies in terms of the accuracy of reconstruction.

In this study, a physics-informed data-driven strategy for time-averaged flow field reconstruction is proposed which extends the applicability of the PINN framework. In addition, embedding physical laws when training the multifidelity model leads to less data demand for model development compared to purely data-driven methods for flow field reconstruction.

Public-Private Partnership (PPP) is a common practice in both the public and private sectors. PPP has been an important instrument to achieve Sustainable Development Goals (SDGs) at the national level. However, the role of PPP at the subnational level is often scarcely studied. Using Khulna city of Bangladesh as a case, this paper aims to assess the role of PPP projects in the attainment of SDGs.

The research was conducted in the Central Business District (CBD) of Khulna, on a total of 4.6 kilometers stretches of road medians in the CBD where landscaping was done through the PPP approach. Besides the collection of secondary data from official records, primary data were collected through site visits, field surveys and interviews of PPP project partners.

The result shows that 89 percent of the respondents (road users) were pleased with the landscaping done on the road medians. Similarly, about 86 percent of the respondents felt more comfortable and safer to use the roads. Well-maintained road medians allow road-crossing at a regular interval which reduces the chance of an accident. The private parties have installed promotional billboards on the road medians and saved BDT 10.82 million a year. The public authority saves the maintenance budget amounting to BDT 23 million a year. The project achieves a triple-win situation. Despite some limitations, this PPP project has taken Khulna a step forward to achieve SDGs.

The findings have policy implications as the PPP project has enhanced the resilience of Khulna by addressing the relevant SDGs.

This literature review paper aims to discuss the impacts and measures taken on Covid-19 with respect to architecture, built form and its allied fields along with observations from around the world with the end results of its implementation.

Various research journals from Science Direct and Taylor and Francis among others were referred and reviewed to learn more on Covid-19 along with its impacts on people and their built environment. Keywords that aligned with the topic of interest like pandemic, Covid-19, coronavirus, urban spaces, built environment and built-up space were identified. Research papers that aligned with the scope of the paper and its keywords were found. An excel sheet with the basic data of these papers was written down. The essence of each of these articles were understood and linked with the topic in hand. A review of all these papers was written coherently to the topic. Future scope in this field of study was also identified.

It discusses the various measures taken around the world in built-up spaces along with the various measures given by researchers, architects and urban planners to mitigate and reduce the transmission of Covid-19 in the built environment and urban spaces. The discussed measures along with observations from around the world have also been discussed with its end results. Discussions and conclusions on these design strategies and recommendations are made with the anticipation of a paradigm shift due to post-pandemic changes. Current scenarios of public spaces in densely populated countries are discussed. Future scope in this ongoing field of study includes measures that can be taken in specific to some particular built-up typologies like markets, theaters, parks, bazaars, etc.

The limitation of this study is the restricting of the study of Covid-19 to only architectural, urban and public realm scales. The study does not facilitate the involvement of other fields and their influence with Covid-19.

This paper has been completely written by the author and the co-authors and has not been copied from any other sources.

This study aims to explore the asymmetric effects of macroeconomic factors on the profitability of large-cap companies in an emerging country like Colombia, using the Morgan Stanley Capital International (MSCI) Colombia index as the basis.

We employ a combination of singular spectrum analysis (SSA) and principal component analysis (PCA) to identify and estimate four key macroeconomic factors that account for approximately 47.8% of Colombia's macroeconomy. These factors encompass indicators related to inflation and cost of living, foreign trade and exchange rate, employment and labor force and trade and production in Colombia. We utilize the distributed lag nonlinear model (DLNM) to analyze the asymmetric relationships between these factors and corporate profitability, considering different scenarios and lags.

Our analysis reveals that there are indeed asymmetric relationships between the identified macroeconomic factors and corporate profitability. These relationships exhibit variability over time and lags, indicating the nuanced nature of their impact on corporate performance.

This study contributes to the existing literature by applying a novel methodology that combines SSA and PCA to identify macroeconomic factors within the Colombian context. Additionally, our focus on asymmetric relationships and their dynamic nature in relation to corporate profitability, using DLNM, adds original insights to the research on this subject.

This study aims to examine the relationship between financial inclusion, CO₂ emissions and financial sustainability across 17 African countries.

Data were sourced from the World Development Indicators for the period 2004-2021. The study performs the principal component analysis, panel fixed effects model and quantile regression estimations to investigate the relationship between financial inclusion, CO₂ emissions and financial sustainability.

The study finds that an increase in automated teller machine (ATM) penetration rate, savings and credits increases CO₂ emissions. Findings also reveal that financial sustainability reduces financial inclusion, with significant negative effects on the conditional mean of CO₂ emissions and the conditional distribution of CO₂ emissions across quantiles.

This study is beneficial for policymakers, particularly in the age of digitalization and drive for low-carbon emissions, to develop green credits for energy players and investors to take up renewable and green energy projects characterized by high levels of carbon storage and carbon capture. Further, the banking sector’s credits and liquid assets should be used to finance alternative banking energy-related equipment and services, such as solar photovoltaic wireless ATMs, and fewer bank branches.