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This study aims to convey the understanding of the ecosystem – how “hundi” works on the border trade between Myanmar and northern Thailand, which is an informal transfer system and is widely used as an alternative banking system. Even though the role of hundi is unable to declare the sources of money under the standard settlement of formal banking system, a failure to operate of its official mechanism are carrying using hundi, as a financial platform across the border between Thailand and Myanmar. This study surveys the best practice mechanism for the regional and international cooperation.

This paper draws on relevant literature, open-source reporting, and interviews with more than 30 interviewees on the border between Thailand and Myanmar. Interviewees includes border-trader, money changer, money transfer operators, business leaders, hundi operators, immigrant labors, government officials and commercial banking staffs.

This study provides a unique insight of hundi system, which work as the alternative mode of formal banking. It is an informal fund transfer payment platform used on the border between Thailand and Myanmar in the past five decades. It insists that hundi plays a significant role in both substitution and complementary on the trade and payment across the border of Myanmar–Thailand. Even though confronting with the barriers of financing of terrorism (anti money laundering AML/combating the financing of terrorism CFT) risk, the competition with the expanding and modernizing formal banking sector, and the introduction of Fintech and mobile money services. In the short term, these are unlikely to eliminate the hundi system completely, but may instead push hundi operators towards adopting these networks and technologies in their own operations.

This paper will be a useful source for academics, development professionals, policymakers, law enforcement agencies and business actors who are seeking to understand Myanmar’s informal payment system, hundi.

This is the latest work for border trade payment or trade financing role of hundi which has hidden under the informal market of the border for several decades. It has few research of hundi on border trade and payment, particularly after the military coup in 2021 which made hundi return to be on the spotlight and simultaneous mechanism of border trade and payment ecosystem of Myanmar. This paper will be a useful source for academics, development professionals, policymakers, law enforcement agencies and business actors who are eager to understand Myanmar’s informal payment system, hundi, especially during the hardship.

Even if digital financial services have a positive impact on financial inclusion, it creates a digital as well as gender divide within and across countries, creating regional disparity even within developing nations. Though pandemic has initiated digitalization of various services, there has been scanty research on whether digital transfer of income can improve digital financial inclusion in post-pandemic era, especially in developing countries. The purpose of the current study is to explain the regional disparity within developing countries from three regions East Asia Pacific, South Asia and Sub-Saharan Africa, using latest World Findex data, 2021.

The author takes an instrumental variable approach to run bivariate probit model to find the factors that motivate the users to make digital payments.

The study observes that electronic transfer of wages, government transfers and remittances can motivate individuals to make use of digital mode of transactions and mobile. The practice of formal saving and borrowings are the prerequisites. However, this mechanism holds good for East Asia Pacific and not for South Asia and Sub-Saharan Africa, which are poor in information and communication technology infrastructure. Women are lagging behind men, but digital transfer of wages motivate them to make digital transaction.

Digitalization of all government services and provision of affordable mobile network and internet services are necessary for regions like South Asia and Sub-Saharan Africa. In East Asia Pacific region, data protection, data governance and better regulatory framework are required. Higher female labor force participation with digital transfer of wages and empowerment with smartphones are key to reducing the Gender gap.

The current study corrects for the possible endogeneity issue, which the extant literature has not paid attention to, and provides region-specific and gender-specific policy recommendations for an improved digital inclusion.

This paper aims to market analysis on the base many factors. Market analysis must be done correctly to increase the efficiency of smart grid technologies. On the other hand, it is not very possible for the company to make improvements for too many factors. The main reason for this is that businesses have constraints both financially and in terms of manpower. Therefore, a priority analysis is needed in which the most important factors affecting the effectiveness of the market analysis will be determined.

In this context, a new fuzzy decision-making model is generated. In this hybrid model, there are mainly two different parts. First, the indicators are weighted with quantum spherical fuzzy multi SWARA (M-SWARA) methodology. On the other side, smart grid technology investment projects are examined by quantum spherical fuzzy ELECTRE. Additionally, facial expressions of the experts are also considered in this process.

The main contribution of the study is that a new methodology with the name of M-SWARA is generated by making improvements to the classical SWARA. The findings indicate that data-driven decisions play the most critical role in the effectiveness of market environment analysis for smart technology investments. To achieve success in this process, large-scale data sets need to be collected and analyzed. In this context, if the technology is strong, this process can be sustained quickly and effectively.

It is also identified that personalized energy schedule with smart meters is the most essential smart grid technology investment alternative. Smart meters provide data on energy consumption in real time.

This paper aims to assess the factors that may explain the International Public Sector Accounting Standards (IPSAS) convergence, considering Hofstede’s cultural dimensions as the theoretical reference for the cultural approach proposed. Additional factors include countries’ contextual and macroeconomic characteristics.

Logistic and probit regression models were used to identify the factors that may explain the IPSAS (fully or adapted) use by countries, including 166 countries in this assessment (59 for those whose cultural dimensions are available).

The findings consistently indicate collectivism and indebtedness levels as explanatory factors, providing insights into cultural dimensions along with macroeconomic characteristics as a relevant factor of countries’ convergence to IPSAS.

There are different levels of IPSAS convergence by countries that were not considered. This aspect may hide different countries’ characteristics that may explain those options, which could not be distinguished in this paper.

As a result of this paper, the International Public Sector Accounting Standards Board may gain insights that can be applied within the IPSAS due process to overcome the main challenges when collaborating with national authorities to achieve a high level of convergence. This analysis may include how to accommodate countries’ cultural differences as well as their contextual and macroeconomic characteristics.

There is a trend of moving toward accrual-based accounting standards by countries. Because the public sector embraces a new culture following the IPSAS path, it is relevant to assess if there are cultural factors, besides contextual and macroeconomic characteristics, that may explain the countries’ convergence to those standards.

To the best of the authors’ knowledge, this is the first cross-country analysis on the likely influence of cultural dimensions on IPSAS convergence as far as the authors’ knowledge.

This paper analyzes the direct effect of financial development and the mediating impact of financial development through foreign direct investment (FDI), foreign aid and trade on economic growth for all Asian countries.

A fixed-effect model with Driscoll–Kraay panel corrected estimators was employed to find the direct and mediating impact of financial developments on growth for all 47 Asian economies from 1980 to 2020. The bootstrapped panel-quantile regression (BPQR) model is used to check how this effect varies for different income groups of countries.

The results demonstrated that financial development positively impacts countries' economic growth. The interaction effect of financial development with FDI, foreign aid and foreign trade negatively impacts economic growth. The BPQR results showed that FDI and foreign aid help in the growth of lower quantile economies; however, the impact is negative for middle- and upper-income countries. Trade impacts growth positively for all the quantiles of economies.

The results suggest that the Asian economies must continue to provide thrust on the financial development of their own countries to achieve better growth. It also implied that the dependence on external finance is good for low-income countries and not advisable for middle- and upper-income countries.

To the best of the authors’ knowledge, the current study is the first to provide empirical evidence on analyzing both the direct and interaction effect of financial development on economic growth by considering all the Asian economies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0587

COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the impact of the reduction in economic activity on the economy-wide variables so that appropriate steps can be taken. This study aims to evaluate the sensitivity of various sectors of the Indian economy to this dual shock.

The eight-sector open economy general equilibrium Global Trade Analysis Project (GTAP) model has been simulated to evaluate the sector-specific effects of a fall in economic activity due to COVID-19. This model uses an economy-wide accounting framework to quantify the impact of a shock on the given equilibrium economy and report the post-simulation new equilibrium values.

The empirical results state that welfare for the Indian economy falls to the tune of 7.70% due to output shock. Because of demand–supply linkages, it also impacts the inter- and intra-industry flows, demand for factors of production and imports. There is a momentous fall in the demand for factor endowments from all sectors. Among those, the trade-hotel-transport and manufacturing sectors are in the first two positions from the top. The study recommends an immediate revival of the manufacturing and trade-hotel-transport sectors to get the Indian economy back on track.

The present study has modified the existing GTAP model accounting framework through unemployment and output closures to account for the impact of change in sectoral output due to COVID-19 on the level of employment and other macroeconomic variables.