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This paper examines the economic and political determinants of public procurement corruption in Uganda. Using data from 548 respondents in the public, private and NGO sectors of Uganda, the paper identifies critical economic and political determinants of public procurement corruption in Uganda. All over the world, the attention of policy makers, academics, development partners, the general public, civil society organizations and politicians has been drawn to the negative effects of corruption on development and the delivery of effective services. Corruption; a phenomenon as old as man himself (Shabbir & Anwar, 2007) has recently risen to the top of the development agenda, particularly in the developing economies. It is this recognition that leads to investigation of why corruption exists and what makes it so differently widespread among countries (Serra, 2004). Unlike in the past where corruption research was the preserve of economists and political scientists, today other disciplines like public procurement have significant interest. This paper compares the emergent results with local and international literature. It presents a number of theoretical and managerial implications for addressing the “disastrous monster” of procurement corruption in the context of the developing world.

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.

Micro, small and medium-sized enterprises are the live wire of construction industry in developing countries. These classes of establishments are most affected by economic contraction and turmoil, thus affecting their performance and survivability. Hence, the purpose of this study is to investigate and prioritize the survival determinants of construction consulting organization during economic contraction in Nigeria using quantity surveying firms as a focal point.

The study adopted the descriptive-survey design and quantitative data were collected through questionnaire purposely administered to quantity surveying firms in the Southwestern part of Nigeria. The data obtained from 99 quantity surveying firms on survival determinants were analysed using various statistical analysis such as mean score, standard deviation, Mann–Whitney U test, Kruskal–Wallis H test, and so on. Principal component analysis was used to identify the principal components of survival determinants, while the factors were prioritized using fuzzy synthetic evaluation (FSE).

The result of the analysis reveals eight factors that significantly determines the survival of firms during the period of economic contraction. Furthermore, the eight grouped factors were prioritized accordingly namely firm's innovation and diversification, ownership structure and networking, education level and management skills, and so on.

This study investigated the survival determinants of quantity surveying firms and prioritized it with the opinions of principal partners in quantity surveying establishments. As against obtaining large survey responses from all quantity surveyors in the study area that may not have practical experience of managing firms, the limited responses received provide valid basis to broaden the horizon of professionals and other stakeholders on the key determinants for firms to survive economic turmoil.

This study contributes to the body of knowledge by providing information on prioritized factors that must be considered in an appropriate order by quantity surveying firms to survive economic contraction.

This paper aims to investigate the smart economic development (SED) patterns in Europe in relation to competitiveness. Motivational focus corresponds to global events: the fourth industrial revolution, transition to a low-carbon economy, economic shocks (such as the 2008 financial crisis, Brexit or the coronavirus pandemic), which requires rethinking development policies, targeting competitiveness increase and reducing imbalances in economic development.

The analysis includes self-organising neural networks cluster analysis and correlations, comparative analysis of SED indicators structure and cumulative index estimation with World Economic Forum (WEF) global competitiveness index. The panel data set of 19 years from 2000 to 2018 for 30 European countries.

Overall, cross-country examination suggests that European countries of higher competitiveness illustrate higher estimates in SED. The key determinants are juridical fairness, social responsibility, competence building, intelligence and welfare employment to develop smart patterns for reaching higher competitiveness.

The limitations relate to the particular sample of European countries and gathering statistical data and a methodology of the SED index calculation. In addition, the paper contains a macroeconomic environment focus on competitiveness estimation. Further research may be improved with micro and mezzo environment incorporation at a cross-country analysis level.

By linking well-known terms of competitiveness and economic development with a concept of smartness, new approaches to policymaking emerged. The methodology presented in this paper has implications for territorial cohesion policies, competitiveness and branching strategies. The combination of SED sub-indexes and WEF GCI might aid a more accurate ex ante measurement.

The findings are essential for fostering a smart approach in economic development for long-term competitiveness.

This paper provides original empirical evidence about the relationship between SED and competitiveness and adds new knowledge that smartness becomes a way for building countries’ competitiveness by identified two profiles of SED patterns by development stages, namely, integrated to economic development and institutional-based which is divided to focus and balanced.

For more than four decades, persistent economic activities and a focused growth strategy resulted in significant infrastructural and other favorable economic and institutional changes in the world's developing nations. High-quality growth is not just a function of sound economic policies but also implementing a broad range of social policies. The BRICS (Brazil, Russia, India, China and South Africa) nations have proven their testimony on both these factors. Following their path are some other emerging economies like N-11 (or Next Eleven propounded by Goldman Sachs (2005) Report), which this present study tries to examine as successors of BRICS.

Along with panel data regression modelling, the study has applied econometric procedures robust to heterogeneities across various nations and have been able to produce more reliable results that can be generalized for other similar groups of countries. 11 independent variables (both economic and institutional) have been used to meet the study's objective for a period of 34 years (1985–2018).

The findings of the study reveal that the governments of both the group of countries must work toward their macro-economic stability factors (external debt stocks), technological capabilities (mobile and fixed broadband subscriptions), human capital (health expenditure) and political conditions (mainly the rule of law) to enhance their sustainable economic growth.

This study enhances knowledge of the determinants of economic growth in emerging countries. Firms from BRICS and N-11 may better understand the factors influencing their internationalization process (both economic and institutional). The study is significant not just for the researchers but also for the policymakers of the BRICS and N-11 to understand in which areas their country is leading or lagging. The study is useful even for the policymakers of other emerging countries of the world who might take lessons from these nations (especially BRICS) and follow their success path. This study helps the governments of other groups of emerging countries such as PIN (Pakistan, Indonesia and Nigeria); MINT (Mexico, Indonesia, Nigeria and Turkey); CIVETS (Colombia, Indonesia, Vietnam, Egypt, Turkey and South Africa), etc. which can follow the path of BRICS economies in growth and formulate policies to increase their economic growth accordingly. At the enterprise level, it helps MNCs understand BRICS and N-11 markets and formulating entry and growth strategies in these most emerging countries of the world.

The present study is unique. It tries to investigate the projections of the Goldman Sachs report after 15 years of its release. It tries to determine the factors responsible for the economic development in the N-11 countries with advanced econometric techniques. Majorly, the focus is to comparatively analyze the growth trajectory for BRICS and N-11 nations and suggest whether N-11 has the potential to become successors of BRICS. A concentrated effort to examine the most significant drivers (both economic and institutional), which may lead to economic progression, has been made in this study.

The authors conduct a structured analysis of the literature on the determinants of economic and financial franchise performance and develop an integrative framework that unifies the literature from franchisor as well as franchisee perspectives.

53 relevant research articles on economic and financial franchise success published between 1976 and 2020 were identified. After providing an overview of the empirical methods and theoretical perspectives found in the literature, an original classification system of franchise success determinants was developed.

More than 50 different variables impacting economic or financial franchise success were identified and grouped into ten distinct categories. The most impactful categories are the franchise relationship, franchisee characteristics and capabilities, franchisor variables and the franchise environment. The study’s integrative framework illustrates not only the impact of these factors on franchise success, but also reveals which areas require more attention.

As the study focused on understanding the determinants of franchise success, any measures related to franchise failure were excluded. Also, the role of venture capital and stock market listing as growth strategies in the franchise sector were excluded.

The study’s framework shows how the management of franchise success is complex and that franchise relationship, franchisee and franchisor variables as well as the franchise context need to be taken into account. It illustrates that there is a hierarchy with which these determinants should be prioritized.

The article proposes the first systematic review of the literature on the determinants of economic and financial franchise success. The contribution offers both, researchers and practitioners, new and useful insights for future knowledge development in the field.

This paper aims to investigate the economic, political or sociocultural determinants of corruption in Tunisia.

To better understand the main determinants of corruption in Tunisia. This study uses The Bayesian Model Averaging (BMA) model, which allows us to include a large number of explanatory variables and for a shorter period.

The results show that economic freedom is the most important variable of corruption in Tunisia. In second place comes the subsidies granted by the government, which is one of the best shelters of corruption in Tunisia through their use for purposes different from those already allocated to them. Third, this paper finds the high unemployment rate, which, in turn, is getting worse even nowadays. The other three factors considered as causal but of lesser importance are public expenditures, the human development index (HDI) and education. Education, the HDI and the unemployment rate are all socio-economic factors that promote corruption.

The realization of this study will lead to triple net contributions. The first is to introduce explicitly and simultaneously political, social and economic determinants of corruption in developing countries. Second, unlike previous studies based on the simple and generalized regression model, the present research uses another novel and highly developed estimation method. More precisely, this study uses the BMA model, on the set of annual data for a period of 1998–2018. The third contribution of this research resides in the choice of the sample.

The purpose of this paper is to examine key macroeconomic determinants on Cameroon's economic growth from 1970 to 2018.

Data were obtained from the World Development Indicators and applied on time series data econometric techniques. The auto-regressive distributed lag (ARDL) bounds model analyzed the data since the variables had different order of integration.

The results showed long and short runs’ positive and significant connection between economic growth in Cameroon and government expenditure; trade openness, gross capital formation and exchange rate. Human capital development, foreign aid, money supply, inflation and foreign direct investment negatively and significantly affected economic growth in the short and long-runs. Hence, the macroeconomic indicators are not death.

The present research paper has tried to capture the impact of nine macroeconomic determinants on economic growth such as the government expenditure (LNGOVEXP), human capital development (LNHCD), foreign aids (AID), trade openness (LNTOP), foreign direct investment (LNFDI), gross capital formation (INVEST), broad money (LNM2), official exchange rate (LNEXHRATE) and Inflation (LNINFLA). However, these variables have the tendency to affect each other in a unidirectional or bidirectional manner. Further, the present research paper is unable to capture the impact of other macroeconomic variable due to the unavailability of data.

The study recommends that Cameroon should use proper planning and strategic policy interventions to achieve higher sustainable economic growth with human capital development, foreign aid, money supply, foreign direct investment and moderate inflation.

Macroeconomic indicators, if managed well, increase economic growth.

This paper to the best of the researcher's knowledge presents new background information to both policymakers and researchers on the main macroeconomic determinants using econometric analysis.

Earlier studies have found that the country characteristics play important role in measuring the corporate transparency. The purpose of this paper is to examine whether the firm-level determinants play an important role in corporate transparency measured as the quality of disclosed earnings across transitional Europe and what role an overall transparency measured by the Corruption Perception Index plays in it. This paper further tests if the market reacts similarly to discretionary and non-discretionary components of earnings across different groups of countries with respect to transparency.

The financial and ownership data of listed companies in ten European countries is obtained from Amadeus. The transparency ratings are obtained from Transparency International. The sample consists of a panel of 2001 listed companies and modified Jones model of Dechow et al. (1995) is used to measure the quality of earnings.

This paper shows that the firm-level determinants (except firm size) of the quality of earnings are different among different groups made on the basis of transparency ratings. However, the determinants of the quality of earnings are not different within each group. The ownership structure of companies plays important role in determining the quality of earnings in most transparent countries whereas financial factors play significant role in least transparent countries. The markets respond positively to earnings quality in most transparent group of countries.

The results of this study provide interesting basis for future research on economic and social integration of Europe. Although the policy makers are trying to integrate the countries through common Laws and decrees but examining the firm-level factors such as size, growth and ownership are still important. The regulators should address the issue of corporate transparency in Europe by looking at the importance of these factors with respect to overall transparency.

This study extends the knowledge, not only for academicians and investors but for policy makers as well. This study re-emphasizes the role of country-level transparency and firm-level determinants of the corporate transparency within Europe.

The purpose of this paper is to examine the determinants of foreign direct investment (FDI) by focusing on institutional and economic factors among South Asian Association for Regional Cooperation (SAARC), Association of South East Asian Nations (ASEAN) as well as Central Asian countries over the period 2002-2014.

The generalized method of moments technique is employed for analyzing the impact of institutional quality on FDI inflow by controlling for the effect of market size, domestic investment and labor force.

The authors found large variations in terms of the impact of institutional and economic variables in regards to FDI in the SAARC, Central Asian and ASEAN regions. The results reveal that real GDP, domestic investment and economic freedom index have a positive and significant effect on FDI inflows in the SAARC region, while governance index and labor force have a negative impact on FDI inflows. In Central Asia, the real GDP, domestic investment and governance index are positively associated with FDI inflows, whereas the effect of economic freedom index on FDI is negative as well as insignificant. Apart from the GDP, other variables such as labor force, domestic investment, governance and economic freedom indices influence FDI positively in the ASEAN region. It is worth mentioning here that domestic investment produces positive effect on FDI inflows in all the regions. On the whole, the authors may conclude that institutional factors play an important role in attracting FDI inflows in the ASEAN region as compared to Central Asian and SAARC regions.

A limited research work is available that could help in identifying the role of institutional and economic factors simultaneously in attracting FDI in the SAARC, Central Asian and ASEAN regions.