This study investigates the impact of anti-corruption efforts on financial development across different economies, using G7 and E7 countries as comparative groups. Recognizing corruption as a barrier to economic growth, the research examines how effe...
Developing countries will be home to 85% of the world’s population by 2030. Hence, it is important to ensure food security for them. This effort is not easy, as the number of undernourished people (NUP) in the world has increased. We investigat...
Political and bureaucratic corruption is a societal threat in every country. It allows organised crime to flourish, slows economic growth, increases income inequality, reduces government effectiveness, and threatens citizens’ confidence in the...
While the existing literature has emphasized the role of governance in controlling corruption, they have paid less attention to its multidimensional nature. With this background, this paper identifies the configuration(s) of governance dimensions ind...
The effects of corruption and income on environmental degradation is well established in the literature. However, little attention has been given to how the control of corruption affects the environmental quality at different levels of income. This s...
Corruption poses a significant challenge to economic development and governance worldwide, with its detrimental effects permeating various levels of society. In the context of Greece, where corruption has been a longstanding issue, the role of intern...
This study examines the impact of corruption on business innovation from a comparative perspective and shows that this relationship is inherently heterogeneous across firms and countries. It addresses two main research questions: (i) Does corruption...
11 October 2021
Strong governance is vital for developing environmental policies to promote renewable energy consumption and discourage nonrenewable energy sources. The present research explores the effect of economic growth and different governance indicators on re...
The main objective of this study was to investigate the effects of control measures on the diffusion of corruption in the population using a fractional order approach with optimal control theory and cost-benefit analysis. The associated fractional or...
Corruption in Colombia remains a critical barrier to development, institutional trust, and equitable access to public services, despite legislative efforts such as the Anti-Corruption Statute. This article explores the intersection between fiscal man...
Climate change, global warming, and carbon emission are global issues. Countries are strengthening their environmental regulations to mitigate the emission problem. According to the pollution haven hypothesis, rich countries invest in emerging econom...
A decentralized adaptive resilient output-feedback stabilization strategy is presented for a class of uncertain interconnected nonlinear systems with unknown time-varying measurement sensitivities. In the concerned problem, the main difficulty is to...
Countries of the Middle East and Central Asia depend heavily on natural resources for their exports, income, and employment. This study is a preliminary investigation that explores the effect of natural resources on domestic investment in a sample of...
This study examines the impact that International Public Sector Accounting Standards adoption might have on governance quality and corruption control in Spain, Portugal, and Italy. IPSAS was designed to globally enhance public transparency and accoun...
Environmental sustainability has been a challenging issue all over the globe, with air pollution posing a significant threat. One main factor contributing to air pollution is the growth of the shadow economies. This study investigates the effect of t...
Against the backdrop of concerns for diminishing the vulnerabilities of the economies of the Member States, the EU has adopted measures to strengthen budgetary discipline and control of the public deficit. In this context, the responsibility of gover...
This paper empirically investigates the link between the level of government revenue per capita and six indicators of the quality of governance in an unbalanced panel data set consisting of all countries in the world (217 countries; due to some missi...
This paper examines the electoral cycle and the conduct of the central government’s fiscal policy. It uses a panel database with disaggregated spending and revenue series for 34 middle-income countries over 2000–2022. A dynamic panel appr...
This paper addresses an adaptive secure control problem for the leader-follower formation of nonholonomic mobile robots in the presence of uncertainty and deception attacks. It is assumed that the false data of the leader robot’s information attacked...
This study examines the application of ensemble machine learning methods for identifying and flagging potentially risky transactions in military public procurement in Ukraine, a sector characterized by elevated financial and security sensitivity and...
I examine the relationship between democracy and the perceived risk of corruption in a panel of 130 countries. My panel model controls for country fixed effects and enables the estimation of a within-country relationship between democracy and corrupt...
Corruption and inflation are two economic problems with serious social consequences. This paper analyzes the link between these two problems, focusing on the case of 19 prices observed for agricultural products in 90 countries since 2000. Using &lsqu...
Both executive corruption and corporate innovation are important factors affecting corporate development. This paper explores the impact of executive corruption on corporate innovation and examines the mechanism of their effects from the perspective...
Over the years, high levels of corruption in Sub-Saharan Africa have diverted resources from social welfare, weakened institutional effectiveness, and deepened economic inequalities. This study explores the misery index’s effects on economic in...
Corruption influences firm behavior and performance even in relatively transparent countries like the United States. In this paper, we examine whether corruption at the state level affected bank failures during the subprime mortgage crisis. Our measu...
Although entrepreneurship is considered one of the most powerful drivers of national economies around the world, there is little consensus about what informal factors foster entrepreneurial intention. In accordance with recent literature, entrepreneu...
Tendering and bidding is considered the stage most vulnerable to corruption in the construction industry. The prevalence of collusive tendering and bidding induces frequent accidents and even sabotages the fairness of the construction market. Althoug...
As an effective means and an important guarantee for environmental pollution management in China, enhancing the level of foreign openness and reducing the level of regional corruption, respectively, the successful implementation of both are key steps...
11 August 2019
Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple...
Games of inspection and corruption are well developed in the game-theoretic literature. However, there are only a few publications that approach these problems from the evolutionary point of view. In previous papers of this author, a generalization o...
22 April 2022
Even though the European Union (EU) is considered one of the best performers in the world in fighting corruption, the situation changes when the analysis is shifted to the national dimension of its member states, with significant differences concerni...
Common acts of corruption such as bribery and informal payments are virtually illegal everywhere and prevalent in every corner of the world. This paper aims to contribute to the literature by considering the influences of corruption and female top ma...
There is a great deal of literature devoted to mathematical models of corruption, including corruption in auctions. However, the relationship between the seller and the auctioneer is not studied sufficiently. The research aim is to analyze such relat...
The purpose of this study was to analyze the effect of several macroeconomic variables consisting of gross domestic products (GDP) per capita, economic openness, government effectiveness index, inflation, and the level of education on the corruption...
Any effort to combat corruption can benefit from an examination of past and projected worldwide trends. In this paper, we forecast the level of corruption in countries by integrating artificial neural network modeling and time series analysis. The da...
Data corruption, including missing and noisy entries, is a common challenge in real-world machine learning. This paper examines its impact and mitigation strategies through two experimental setups: supervised NLP tasks (NLP-SL) and deep reinforcement...
E-government initiatives help a country to publicize information with greater transparency and efficiency and are expected to reduce corruption in the country. The present study investigates the impact of a host country’s e-government system on...
Corruption is a major concern globally, particularly in developing countries, such as Bangladesh, where it is the main obstacle to economic development. Corruption is also mentioned as the major impediment to accomplishing sustainable development. Th...
Conceptual and applied studies assessing the linkage between economic freedom and corruption expect that economic freedom boosts economic growth, improves income, and reduces levels of corruption. However, most of them have concentrated on developed...
Corruption is a key factor that affects countries’ development, with emerging countries being a geographical area in which it tends to generate greater negative effects. However, few empirical studies analyze corruption from the point of view of disc...
In previous papers of the authors, a generalized evolutionary approach was developed for the analysis of popular inspection and corruption games. Namely, a two-level hierarchy was studied, where a local inspector I of a pool of agents (that may break...
(1) Background: This research aims to investigate the impact of environmental, social, and governance (ESG) factors on European banking corruption. Thus, its novelty is based on considering anti-competitive concerns as a major component that may cons...
Combating corruption is an important objective of the United Nations Sustainable Development Group, with the aim of helping public institutions to act in the interest of citizens. To ensure this objective is met, the spending of public money is contr...
This article addresses the concept of a compound attack detection mechanism, that links estimation-based and set-theoretic methods, and is mainly focused on the disclosure of intermittent data corruption cyber-attacks. The detection mechanism is deve...
This study investigates the macroeconomic impact of financial corruption and institutional weakness on Pakistan’s economy from 1996 to 2023, addressing a critical research gap in quantifying the simultaneous effects of shadow economy operations...
This paper investigates the impact of life expectancy on carbon emission, in Saudi Arabia. Additionally, we examined the role of governance to achieve carbon neutrality status. We used the novel dynamic ARDL technique for estimations. This is one of...
APUNCAC is a draft international convention designed to address systemic corruption, strengthening UNCAC’s provisions and adding mechanisms to make it more effective. ‘Corruption’ includes public officials abusing their powers. This...
Family businesses have distinct characteristics that differentiate them from other firms. Researchers must meticulously analyze issues, with a specific focus on the interplay of family business dynamics, considering this factor. The main objective of...
This article examines the relationship between macroeconomic variables and the share of renewable energy in Eurozone countries from 2006 to 2020. Using the Fully Modified Ordinary Least Squares (FMOLS) method, we analyze the impact of Gross Domestic...
Under certain circumstances, on-the-job consumption is conducive to improving the resilience of the supply chain and the sustainable development ability of enterprises. Using China’s A-share listed companies from 2008 to 2019 as sample data in...
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