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This study aims to examine the effect of foreign direct investment (FDI) inflows on tax revenue in 34 developed and developing countries from 2006 to 2020.

Feasible generalised least squares (FGLS), a dynamic panel of a two-step system generalised method of moments (GMM) system and a pool mean group (PMG) panel autoregressive distributed lag (ARDL) approach were used to compare the developed and developing countries. Basic estimators were used as pre-estimators and diagnostic tests were used to increase robustness.

The FGLS, a two-step system of GMM, PMG–ARDL estimator’s results showed that there was a significant negative long and positive short-term in most countries relationship between FDI inflows and tax revenue in developed countries. This study concluded that attracting investments can improve the quality of institutions despite high tax rates, leading to low tax revenue. Meanwhile, there was a significant positive long and negative short-term relationship between FDI inflows and tax revenue in the developing countries. The developing countries sought to attract FDI that could be used to create job opportunities and transfer technology to simultaneously develop infrastructure and impose a tax policy that would achieve high tax revenue.

The present study sheds light on the effect of FDI on tax revenue and compares developed and developing countries through the design and implementation of policies to create jobs, transfer technology and attain economic growth in order to assure foreign investors that they would gain continuous high profits from their investments.

Entrepreneurial activity is a phenomenon that increases the economic growth of countries and improves their social welfare. The economic development levels of countries have significant effects on these entrepreneurial activities. This research examines which institutional and macroeconomic variables explain early-stage entrepreneurship activities in developed and developing economies.

The authors conducted panel data analysis on the data from the Global Entrepreneurship Monitor (GEM) and International Monetary Fund (IMF) surveys covering the years 2009–2018.

First, the authors' results reveal that cognitive, normative and regulatory institutions and macroeconomic factors affect early-stage entrepreneurial activity in developed and developing countries differently. Second, the authors' findings indicate that cognitive, normative and regulatory institutions affect early-stage entrepreneurship more positively in developed than developing countries. Finally, the authors' results report that macroeconomic factors are more effective in early-stage entrepreneurial activity in developing countries than in developed countries.

This study provides a better understanding of the components that help explain the differences in entrepreneurship between developed and developing countries regarding institutions and macroeconomic factors. In this way, it contributes to developing entrepreneurship literature with the theoretical achievements of combining institutional theory and macroeconomic indicators with entrepreneurship literature.

The purpose of this study is to discuss the most relevant literature related to the adoption of International Public Sector Accounting Standards (IPSAS) in the public sector in developed and developing countries, identifying the constraints and stimuli they represent in the implementation of the public accounting reform. It also presents future research proposals on the factors identified.

The methodology is based on a systematic review of the literature described by Moher et al. (2009). The final sample includes 90 academic papers published from 2000 to 2022.

The main findings indicate that there are differences between constraints and stimuli in the implementation of accounting standards between developed and developing countries. In terms of constraints, the main factor in developed countries is the lack of training, whereas in developing countries it is the limitation on financial resources. In addition, the results demonstrate that in developed countries the factors that most encourage the implementation of accounting standards are modernization and improvement of accounting, while in developing countries, encouragement comes mainly from external and internal pressure.

This study helps countries and institutions to learn from experience and better prepare for the accounting reforms of public administration that they will undertake. Managers of public organizations may be willing to make decisions in the adoption of IPSAS if they take into account the factors established herein.

This study helps countries and institutions to learn from the experience, better prepare for the public administration accounting reforms that they will undertake and add greater transparency in the accountability of public accounts to citizens.

In addition to previous studies, this study addresses a number of factors perceived by those involved in the implementation of IPSAS in developed and developing countries and provides a robust research agenda to pursue during the coming years, as there are several important unexplored questions that invite further research.

The agricultural sector is a critical component of global economic development, and its significance has grown significantly in recent years. The risks associated with agriculture and the behaviors of farmers in handling these risks are becoming increasingly important, given the sector’s increasing dependence worldwide. Various activities related to agriculture are vulnerable to multiple risks, which can have severe consequences for farmers’ livelihoods. The purpose of this systematic review is to present a comprehensive analysis of the sources of risk faced by farmers and their choices in adopting risk management strategies worldwide.

The Preferred Reporting Items for Systematic reviews and Meta-Analyses protocol was utilized to select relevant literature, and a total of 102 studies were analyzed. Through the use of Venn diagrams and graphical methods, the authors provide a transparent overview of the risks faced by farmers and the adoption of risk management strategies in developed and developing countries.

From the analysis, the authors found that, in terms of risk management strategies, diversification, reserve credit and accumulated assets are frequently used in developing countries, while developed countries tend to rely on future/forward contracts, crop insurance and hedging. Diversification is the most widely used risk management strategy across both developed and developing countries. Our study also highlights the different perceptions of weather-related risks among growers in developed and developing countries.

This systematic review provides valuable insights into the risks associated with agriculture and farmers' strategies in managing these risks, which could inform policy decisions and promote sustainable agricultural practices. For instance, understanding the individualistic nature of farmers' risk perception and the varying risk sources and management strategies depending on the locality and provide assistance to the farmers accordingly.

The paper explains how farmers behave during uncertainty in terms of risk perception and their decision to adopt risk management strategies in developed and developing countries.

The growing demand for housing and infrastructure, as well as the requirement for affordable housing, has been a significant factor, necessitating investigation for sustainable approaches and implementation of alternative construction innovations. Hence, this study aims to identify and assess the drivers for implementing modular construction systems (MCS) in developing countries.

The study adopts a quantitative research approach to seek respondents’ opinions on the factors that can drive the implementation of MCS in developing countries. Accordingly, a structured questionnaire was used as an instrument of data collection based on five Likert scales. The data was analysed using the mean score, one sample t-test, Kruskal–Wallis, factor analysis (FA) and Pearson correlation analysis.

Results show that 15 of the 16 major identified drivers were statistically significant towards implementing MCS, which indicates that the drivers are crucial for implementing MCS in developing countries. However, the Kruskal–Wallis test reveals that the respondents have varying opinions on the identified drivers. FA categorised the drivers into four categories, namely, “management and sustainability”, “key performance”, “know-how and logistics” and “regulations and policies”. A strong relationship among the four categories of drivers was established using Pearson correlation, which indicated that all the drivers’ categories are essential for implementing MCS in developing countries.

This study identified and assessed the drivers towards implementing MCS in developing countries. The study concludes that the identified drivers are essential for implementing MCS in developing countries. Also, the study considers the government the most placed player in driving the implementation of MCS in developing countries.

Sustainable economic growth in both developed and developing countries requires the restructuring and expansion of road transportation infrastructures (RTIs). However, RTIs are always subject to high costs and delays, especially in developing countries with fewer resources than developed ones. Cost overruns and inaccurate forecasts usually lead to project failures. In this regard, some governments in developing countries have adopted public–private partnerships (PPPs) to deliver RTI projects with very positive outcomes. However, academic research has not yet studied the most recurring barriers and associated solutions to adopting PPPs in RTIs particularly for developing countries. This paper aims to fill up this knowledge gap in the existing literature.

A Delphi survey method involving 103 experts in RTIs based in Iran was implemented. Results indicated that the most perceived barriers to applying PPPs in RTIs in developing countries are linked to political, legal and economic factors. Ten other experts also participated in semistructured interviews, which were thematically analyzed to provide practical effective solutions for overcoming those identified barriers.

The findings indicated that all the presented barriers achieved above-average scores and could be considered severe obstacles of applying PPPs in RTIs for developing countries. In terms of barriers and solutions reported, these seem to converge on three profound elements: political stability, legal framework and conjoint management.

To the best of the authors’ knowledge, this is the first-ever research study regarding the barriers to adopting PPPs in delivering RTI projects for developing countries. Practical recommendations for overcoming these perceived barriers and achieving better implementation of PPPs in RTIs for developing countries were advocated. This work has contributed to the extant PPP theory as the management of coproduction in delivering RTI projects.

The degree of development and the way to identify a fiscal shock matter in evaluating the effects of the fiscal policy. This paper contributes to the debate on the effects of a fiscal expansion on private consumption and the real effective exchange rate.

This paper uses a sign-restriction method to identify a fiscal shock in the panel structural VAR analysis in the context of both developed and developing countries.

The authors’ find that (1) private consumption increases in response to a positive government spending shock in both groups, yet such consumption effect is greater in developing than industrial countries; (2) the response of real effective exchange rate to the government spending shock varies across groups: it depreciates in developed countries and appreciates in developing countries; (3) trade balance improves in both groups.

This study sheds light on the differential effects of fiscal shock on consumption and real exchange rate in both developed and developing economies.

The rapid global economic development in the last century, led by industrialization, brings environmental issues to the forefront as a serious concern. While some country-specific studies are undertaken to find the effectiveness of different mechanisms for funding environment-friendly projects, to the authors' knowledge, no study has been conducted to examine the impact of green bonds (GBs) on CO2 emissions for a global sample. Against this backdrop, this study examines the general impact of GBs on CO2 emissions and its differential impact for developed and developing countries and country categorizations based on sustainable development.

The study selects a sample of 44 countries from 2016–2020. The authors use trend analysis and box plots to analyze the present GBs and CO2 emissions scenarios. Further, the panel data regression model is used to examine the overall impact of GBs on CO2 emissions and uncover the variation in such relationships regarding country-level economic and sustainable development. Generalized methods of moments (GMM) and instrumental variables (IV) models are used for robustness.

The yearly trend of GBs is upward at the global level, while CO2 emissions exhibit a marginal decline during the study period. However, significant variations are observed in such trends between developed and developing countries and country-level sustainable development. The authors' regression results show that GBs significantly negatively impact CO2 emissions globally. In addition, the effect of GBs on CO2 emissions is strongly negative for developing countries, while the same influence becomes weak for developed nations. Similar variations exist between countries based on sustainable development.

This is the first study in extant literature to examine such a relationship for a global sample of 44 countries. Further, this study makes a novel contribution by analyzing the variations in the GBs-CO2 emissions nexus for developed and developing countries and country-level sustainable development.

The present study aimed to examine the effect of received remittance inflows on the price level ratio of the purchasing power parity conversion factor to the market exchange rate in 36 developed and developing countries from 2004 to 2020.

The panel data conducted a comparative analysis and used panel least squares, regression with Driscoll-Kraay standard errors of fixed effect, random effect, feasible generalised least squares and maximum likelihood robust least squares to overcome the heterogeneity issue. Furthermore, the two-step difference generalised method of moments to overcome the endogeneity issue. Diagnostic tests were used to increase robustness.

In the studied countries, there was a statistically significant negative relationship between received remittance inflows and the price-level ratio of the purchasing power parity conversion factor to the market exchange rate. This relationship explains why remittance flows depreciate the real exchange rate. The study’s results also indicated that attracting investments can improve the quality of institutions despite high tax rates, leading to low tax revenue.

The current study findings enrich the understanding of policies of how governments should minimise tariff rates on capital imports and introduce export-oriented incentive programmes. The study also revealed that Dutch disease can occur due to differences in the demand structure and manufacturing development policy.

This research paper aims to analyze the stock exchanges of developed, emerging and developing countries to investigate the volatility in stock markets and to evaluate the rate of mean reversion.

The stock exchanges included in the research are NASDAQ, Tokyo stock exchange, Shanghai stock exchange, Bombay stock exchange, Karachi stock exchange and Jakarta stock exchange. Secondary daily data from Bloomberg are used to conduct the research for the period from January 2011 to December 2018. Generalized autoregressive conditional heteroskedasticity (GARCH) (1,1) model was applied to examine volatility and the half-life formula was used to calculate mean reversion in days.

The research concluded that all the stock exchanges included in the research satisfy the assumptions of mean reversion. Developing countries have the lowest volatility while emerging countries have the highest volatility which means that the rate of mean reversion is fastest in developing countries and slowest in emerging countries.

Future studies can determine the reasons for fastest rate of mean reversion in developing countries and slowest rate of mean reversion in emerging countries.

Developing countries show the lowest mean reversion in days while the emerging countries show the highest mean reversion in days indicating that developing countries take less time to revert to their mean position.

The majority of previous studies on univariate volatility models are mostly on applications of the models. Only a few researchers have taken the robustness of the models into account when applying them in emerging countries and not in developed, developing and emerging countries in one place. This makes the current study unique and more rigorous.