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The aim of this study is to investigate how Nigeria can seek legal assistance on recovery of its stolen assets to reduce corruption and to ensure no sheltered havens for incomes from corruption.

The research adopts a conceptual method by using existing literature with the application of doctrinal legal research technique. The research likewise uses primary and secondary sources of legislations such as legislative provisions, case laws and the provisions of Chapter V of the United Nations Convention against Corruption and the process of asset recovery. The study compares the United Kingdom, USA, Hong Kong in China, South Africa and Nigeria proceeds of corruption recovery laws to gain basic legal features that would be beneficial to Nigeria in reforming its anti-corruption laws.

The principle of territorial sovereignty under the international law makes the offence of corruption not punishable outside the jurisdiction of the state where the offence was committed. As a result, some developed states boost their economy with these proceeds and the developing states are impoverished. There is also an allegation of discrepancies in the figures of funds recovered by the anti-corruption agencies. Thus, there is the need for transparency; law on civil forfeiture of proceeds of corruption; bilateral treaties; and mutual legal assistance on investigation, confiscation among countries for tracing and returning of proceeds of corruption.

The estimates of the volume of assets looted from Nigeria vary widely because of the complexity of collecting data on proceeds of corruption as official statistics on proceeds of corruption recovered do not exist as each anti-corruption agency occasionally makes pronouncements on the volume of assets recovered without any breakdown in terms of assets seized, nature of assets and their locations and its values. Such data would aid policymakers to measure the effectiveness of the present assets legislations and to enhance its effectiveness.

Considering the clandestine manners corruption is being committed, it is tasking to correctly evaluate the amount of money stolen so, their economic impacts on the nation’s economy.

Absence of accurate data would aid policymakers to measure the effectiveness of the present assets legislations and to enhance its effectiveness.

The study offers modules on management of proceeds of corruption by establishing “Assets Management Commission” and “Proceeds of Corruption Forfeiture Funds” for reparation of victims’ of corruption. The study suggests the necessity for civil forfeiture of proceeds of corruption, which is presently lacking, and creation of Proceeds of Corruption Recovery and Management Commission to manage such proceeds and advocate establishment of “Proceeds of Corruption Forfeiture Funds” for reparation of victims of corruption.

The similarities between the developments of the United States (U.S.) and China into global powers (countries with global economic, military, and political influence) can be analyzed through big data analysis from both countries. The purpose of this paper is to examine whether or not China is on the same path to becoming a world power like what the U.S. did one hundred years ago.

The data of this study is drawn from political rhetoric and linguistic analysis by using “big data” technology to identify the most common words and political trends over time from speeches made by the U.S. and Chinese leaders from three periods, including 1905-1945 in U.S., 1977-2017 in U.S. and 1977-2017 in China.

Rhetoric relating to national identity was most common amongst Chinese and the U.S. leaders over time. The differences between the early-modern U.S. and the current U.S. showed the behavioral changes of countries as they become powerful. It is concluded that China is not a world power at this stage. Yet, it is currently on the path towards becoming one, and is already reflecting characteristics of present-day U.S., a current world power.

This paper presents a novel approach to analyze historical documents through big data text mining, a methodology scarcely used in historical studies. It highlights how China as of now is most likely in a transitionary stage of becoming a world power.

This research aimed to maximize the value of date exports for the Kingdom of Saudi Arabia.

To achieve its objective, this study relied on secondary data and quantitative economic analysis represented by the Linear programming model.

This study showed that Saudi Arabia exports dates to the United Arab Emirates, Yemen, Kuwait, Turkey, Somalia, Jordan, Oman, India, Indonesia, Bangladesh Morocco, Lebanon, and others. The geographical concentration coefficient for the quantity and value of date exports was 35.05% and 34.74%, respectively, during the study period. Saudi Arabia exported a quantity of dates amounting to 83.08 thousand tons, representing 40.57% of the average total amount of Saudi dates exports during the study period, to Yemen, Somalia, India, Indonesia, Bangladesh, Egypt, China, Djibouti, Bahrain, and Ethiopia, at prices lower than the average export price of 1200.31 dollars/ton, and therefore the export policy needs to restructure the geographical distribution of date exports. Based on the models of geographical distribution, Saudi date exports value can be increased by 32.76–127.12 million dollars, meaning can be increased by 13.77% – 53.44%. In light of the results of the proposed models, this study recommends the need to restructure the geographical distribution of Saudi date exports so that the value of Saudi date exports can be increased by 127.12 million dollars from the current situation for the period 2017–2021.

The paper’s original contribution lies in its proposal to restructure the geographical distribution of Saudi date exports to increase the value of exports.

The study aims to fill a gap in the literature on the economic impact of industrial and international diversification on firm performance in the energy sector. Li et al. (2016) investigate firms listed in China, and this study analyzes firms listed in (Western) Europe.

A sample of 129 energy firms is extracted from Datastream and covers the period from January 2009 to December 2015. Univariate and multivariate regression analyses are used to determine a plausible relation of diversification on corporate performance. Also, the difference between renewable energy firms and conventional energy firms is explored.

A univariate analysis using both return on assets and Tobin's Q as a variable shows that renewable energy firms have a higher profitability than conventional energy firms. However, a multivariate analysis does not confirm this result. The authors also document a negative relation between diversification strategies and firm performance.

The study uses main industry codes. Yet, one might make a distinction between renewable energy and conventional energy amounts with corporations. Also, the authors cover financial crisis years. Researchers might take into account more recent years.

The findings of the study highlight the importance of short-term and long-term considerations for practitioners related to demand, the energy mix, oil prices and firm strategies.

The authors contribute to the debate and the literature when identifying similarities and differences between conventional energy firms and renewable energy firms in their application of diversification strategies and their (relation to) firm performance.

The COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic.

The authors contribute new theoretical and empirical evidence on the distributional impacts of the pandemic on different income groups in a multicountry setting. The authors analyze rich individual-level survey data covering 6,082 respondents from China, Italy, Japan, South Korea, the United Kingdom and the United States. The results are robust to various econometric models, including ordinary least squares (OLS), Tobit and ordered probit models with country-fixed effects.

The authors find that while the outbreak has no impact on household income losses, it results in a 63% reduction in the expected own labor income for the second-poorest income quintile. The pandemic impacts are most noticeable for savings, with all the four poorer income quintiles suffering reduced savings ranging between 5 and 7% compared to the richest income quintile. The poor are also less likely to change their behaviors regarding immediate prevention measures against COVID-19 and healthy activities. The authors also found countries to exhibit heterogeneous impacts.

Designing tailor-made social protection and health policies to support the poorer income groups in richer and poorer countries can generate multiple positive impacts that help minimize the negative and inequality-enhancing pandemic consequences. These findings are relevant not only for COVID-19 but also for future pandemics.

The authors theoretically and empirically investigate the impacts of the pandemic on poorer income groups, while previous studies mostly offer empirical analyses and focus on other sociodemographic factors. The authors offer a new multicountry analysis of several prevention measures against COVID-19 and specific health activities.

Background: The COVID-19 pandemic has impacted global food systems and consumer eating habits. The current study explores how country of origin and ethical status information impacts attitudes toward food.

Methods: A within-subjects survey design explored how perceptions of food safety/risk, animal welfare, deliciousness, purchase intention, energy density, carbon footprint of three foods (chicken, pasta, apples) are influenced by country of origin and ethical status information (UK, EU, China, USA, Fairtrade, Organic). Data were collected from 701 UK-based participants using an online survey from the 25-30th March, following the UK lockdown (23 March 2020).

Results: Perceptions of food safety, animal welfare, purchase intention, deliciousness and carbon footprint are influenced by origin and ethical status information. Chicken from the USA and China is perceived to be higher risk and have lower animal welfare standards. Apples from the USA and China are perceived to be higher risk. Pasta from China is perceived to be higher risk. Energy density estimations are not influenced by origin and ethical status information.

Conclusions: Consumer perceptions are influenced by country of origin and ethical information; foods from China are perceived least favourably, followed by foods from the USA; foods from the UK, EU, Organic or Fairtrade are perceived more favourably. The impact of origin and ethical information varies by food type with the perception of some foods appearing less susceptible to influence. These findings have implications for post COVID-19 (and post Brexit) food system, trade policy and public trust, and highlight the need for communication of food safety.

The unprecedented SARS-CoV-2 (COVID-19) pandemic has further constrained the budgets of governments worldwide for delivering their much-needed infrastructure. Consequently, public-private partnerships (PPPs), with the private sector's investment and ingenuity, would appear to be an increasingly popular alternative. Value for money (VfM) has become the major criterion for evaluating PPPs against the traditional public sector procurement and, however, is plagued with controversy. Hence, it is important that governments compare and contrast their practice with similar and disparate bodies to engender best practice. This paper, therefore, aims to understand governments' assessment context and provide a cross-continental comparison of their VfM assessment.

Faced with different domestic contexts (e.g. aging infrastructure, population growth, and competing demands on finance), governments tend to place different emphases when undertaking the VfM assessment. In line with the theory of boundary spanning, a cross-continental comparison is conducted between three of the most noticeable PPP markets (i.e. the United Kingdom, Australia and China) about their VfM assessment. The institutional level is interpreted by a social, economic and political framework, and the methodological level is elucidated through a qualitative and quantitative VfM assessment.

There are individual institutional characteristics that have shaped the way each country assesses VfM. For the methodological level, we identify that: (1) these global markets use a public sector comparator as the benchmark in VfM assessment; (2) ambiguous qualitative assessment is conducted only against PPPs to strengthen their policy development; (3) Australia's priority is in service provision whereas that of the UK and China is project finance and production; and (4) all markets are seeking an amelioration of existing controversial VfM assessments so that purported VfM relates to project lifecycles. As such, an option framework is proposed to make headway towards a sensible selection of infrastructure procurement approaches in the post COVID-19 era.

This study addresses a current void of enhancing the decision-making process for using PPPs within today's changing environment and then opens up an avenue for future empirical research to examine the option framework and ensuing VfM decisions. Practically, it presents a holistic VfM landscape for public sector procurers that aim to engage with PPPs for their infrastructure interventions.

Historically, academia, typically universities have had two major groups of professionals. One is those who are responsible for teaching and research, including university professors, associate professors, researchers, research assistants, etc. The other is the administrative staff who are responsible for administrative tasks. Both groups have existed since the inception of a university.

As societal expectations of universities have evolved, so has the need for professionals with advanced skills, who are often referred to as Research Managers and Administrators (RMAs) or University Research Administrators (URAs). In Japan, the profession is called URA because it was modelled after the American system in the beginning of its formation. In India, on the other hand, it is often referred to as RMA because of its reference to the United Kingdom. In this chapter, we will use the term RMA as a consistent term. In Asia, the trend of increasing need for this profession has been increasing over the past decade, starting around the 2010s.

This section provides an overview of the history and background that resulted in the current situation surrounding RMAs, as well as a future prospect in the six Asian countries featured in this book: China, India, Japan, Malaysia, Singapore, and Vietnam.

Using a dynamic perspective this article examines, the general situation of the development of South Korean direct investment in China since 1992, when the two countries established diplomatic relations. It probes many characteristics of South Korean direct investment in China: its late start yet rapid rise; the smaller average value of Korean project investments; the accelerated process of localization by large South Korean enterprises in China; the diversified industrial distribution; and the wide-ranging geographical distribution. It analyses the reasons for the rapid increase in South Korean investment in China: the use of China's low-priced production factors, the direct entry of South Korean enterprises into the Chinese market, and the stable investment environment with fewer labor disputes that China provides. Finally, this article also proves that South Korean enterprises have achieved satisfactory results from their direct investment in China.

Globally, urban planners and decision makers are pursuing place-based initiatives to develop and enhance urban infrastructure to optimise city performance, competitiveness and sustainability credentials. New discourses associated with big data, Building Information Modelling, SMART cities, green and biophilic thinking inform research, policy and practice agendas to varying extents. However, these discourses remain relatively isolated as much city planning is still pursued within traditional sectoral silos hindering integration. This research explores new conceptual ground at the Smart – Natural City interface within a safe interdisciplinary opportunity space. Using the city of Birmingham UK as a case study, a methodology was developed championing co-design, integration and social learning to develop a conceptual framework to navigate the challenges and opportunities at the Smart-Natural city interface. An innovation workshop and supplementary interviews drew upon the insights and experiences of 25 experts leading to the identification of five key spaces for the conceptualisation and delivery at the Smart-Natural city interface. At the core is the space for connectivity; surrounded by spaces for visioning, place-making, citizen-led participatorylearning and monitoring.The framework provides a starting point for improved discussions, understandings and negotiations to cover all components of this particular interface. Our results show the importance of using all spaces within shared narratives; moving towards ‘silver-green’ and living infrastructure and developing data in response to identified priorities. Whilst the need for vision has dominated traditional urban planning discourses we have identified the need for improved connectivity as a prerequisite. The use of all 5 characteristics collectively takes forward the literature on socio-ecological-technological relationships and heralds significant potential to inform and improve city governance frameworks, including the benefits of a transferable deliberative and co-design method that generates ownership with a real stake in the outcomes.