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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.

This study aims to analyse the intellectual property rights (INPR), foreign direct investment (FDI) inflows and technological exports of 32 developing and developed countries for the period of 2006–2020.

Diagnostic tests were used to confirm the panel least squares, fixed effect, random effect, feasible general least squares, dynamic ordinary least squares and fully modified ordinary least squares estimator results as well as to increase the robustness.

According to the findings for the developing countries, trademark, patent and industrial design applications, each had a significant positive long-run effect on FDI inflows. In addition, there was a significant positive long-run relationship between patent applications and medium- and high-technology exports. Meanwhile, trademark and industrial design applications had a significant negative long-term effect on medium- and high-technology exports. In developed countries, patent and industrial design applications each have a significant negative long-term on medium- and high-technology exports. Furthermore, patent and trademark applications each had a significant negative long-run effect on FDI inflows.

This study contributes significantly to the focus that host countries evaluate the technology gaps between domestic and foreign investors at different industry levels to select the best INPR rules and innovation process by increasing international cooperation. Furthermore, the host countries should follow the structure–conduct–performance paradigm based on analysis of the market structure, strategic firms and industrial dynamics systems.

This chapter investigates the social determinants (urbanisation, population, literacy and corruption) of greenhouse gas (GHG) emissions in the top 100 developed and developing emitting countries. The data were collected from central repositories for the different variables explored for the period 2012–2020 in a cross-country analysis. Fixed effects ordinary least squares (OLS) regression was used to analyse the data. The results for all top 100 countries and developing countries show that urbanisation and corruption are significantly positive and negative determinants of GHG emissions, respectively. In addition, literacy is a significant positive determinant of GHG emissions in developing countries but not in the top 100 and developed countries. Population is not significant in the top 100 developed and developing countries. The results for the control variables suggest that primary energy consumption is a positive significant determinant of GHG emissions in the top 100 developed and developing countries. However, gross domestic product (GDP) is not a significant determinant of GHG emissions. The findings have important policy implications.

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.

This paper aims to explore how the establishment modes used by emerging economy multinational corporations (EE-MNCs) influence their subsequent experiences of liability of origin (LOO) in developed economies based on the causal-model theory of categorization.

Taking Chinese listed firms' direct investments in developed economies as the sample, this paper utilizes Heckman (1979)'s self-selection model to examine the effect of establishment modes. Besides, when checking the robustness, subsample analyses and 2SLS regressions are used to rule out the alternative explanation associated with LOO mitigation.

EE-MNCs that enter a developed economy by greenfield investment experience heightened LOO while entries using M&A are associated with the mitigated liability. When EEMNCs enter a more institutionally distant developed country, the establishment modes will be more determinant of their subsequent experiences of this liability. Moreover, the effect of establishment modes can recede when EE-MNCs have established their presence in a developed country for a longer time.

This paper utilizes the causal-model theory of categorization to articulate the underlying mechanisms through which the country-of-origin cue is weakened by the cue transmitted by M&A. It further considers the context-saliency of the cue of M&A and clarifies boundary conditions for the effectiveness of this establishment mode to mitigate LOO.

Applying the internationalization process model (IPM) and the strategic fit perspective, this research aims to test the effects of firm age on Chinese firms’ outward foreign direct investment (OFDI) in developing and developed countries.

Using data on some Chinese firms, this study applied the zero-inflated negative binomial model and Heckman two-stage model to do the analyses.

This research found that firm age has different effects on Chinese firms’ OFDI in developed and developing countries. State ownership and industry munificence independently and jointly can moderate these effects.

This study contributes to the IPM and solves the theoretical conflict about the firm age–OFDI relationship.

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 study empirically investigates the relationship between goodwill assets and capital structure (i.e. debt ratio) of firms and the moderating effect of financial market development on the relationship between goodwill assets and capital structure.

This research applied a quantitative method. The article collects large samples of listed firms from 23 developing and nine developed countries and applied the panel data techniques. This research used firm-level data from the DataStream database for both developed and developing countries. The study uses 4,912 firm-level data from 23 developing countries and 4,303 firm-level data from nine developed countries.

The findings reveal a significant positive relationship between goodwill assets and capital structure in developing countries, but goodwill assets have a significant negative relationship with capital structure in developed countries. Moreover, financial market development positively moderates the relationship between goodwill assets and the capital structure of firms in developing countries. The results inform firm managers that goodwill assets serve as additional collateral to secure debt financing. Moreover, policymakers should formulate a debt market policy that recognizes goodwill assets as additional collateral for the purpose of obtaining debt capital.

The study has several implications. First, goodwill assets are identified as a factor of capital structure in this study. Fixed assets have been identified as one of the drivers of capital structure in previous research, although goodwill assets are seldom included. Second, this article shows that along with demand-side determinants, supply-side determinants also play an important role in terms of the firms' choice about the capital structure. Therefore, firms should take both the demand-side and supply-side factors into consideration when sourcing for external financing (i.e. debt capital).

The study considered goodwill as a component of capital structure. The study analysis includes a large sample of enterprises, including 4,912 big firms from 23 developing countries and 4,303 large firms from nine industrialized or developed countries, which adds to the current capital structure information. Furthermore, a large sample size increases the results' robustness and generalizability.