Efficient Resource Allocation and Utilization: The Missing Link in Nigeria’s Quest for Sustainable Development

The attainment of Sustainable Development Goals hinges on the alignment of SDGs policies. This systematic literature review delves into the intricate relationship between policy inconsistency and sustainable development goals in Africa. Through this study, we unveil the challenges, implications, and the potential pathways that emerge at the intersection of policies and the quest for sustainable development in Africa. Our investigation takes a close look at the diverse dimensions of policy coherence, encompassing economic, social, and environmental considerations, and how these dimensions impact the progress of SDGs. Employing a systematic review approach, we meticulously filtered through 1745 results from databases, selecting 353 articles for a comprehensive analysis. Our findings underscore the significant role that policy inconsistency plays in impeding the attainment of SDGs in Africa. We propose an approach anchored on the alignment of SDGs policies and each goal of SDGS for the attainment of the 2030 SDGs agenda in Africa.

In order to better cultivate talents in the new era, it is necessary to strengthen the resource allocation of higher education's Civic and Political Education, so that educators and educated people subconsciously strengthen the cognition of the importance of Civic and Political Education. In this paper, the DEA-BCC model is selected to statically analyze the resource allocation efficiency of higher Civic and Political Education through the static perspective, using the data envelopment analysis method. Combined with Malmquist index and Dagum index, it evaluates the temporal and spatial differences in the allocation efficiency of Civic and Political education resources from a dynamic perspective. Civic and political courses of higher civil engineering majors are selected as assessment objects to construct civil engineering civic and political education resources and evaluate the effectiveness of civic and political resource allocation for civil engineering major courses. Among the 31 provinces in China, the comprehensive efficiency scores of Tianjin, Inner Mongolia, Jilin, Heilongjiang, Zhejiang, Fujian, Hubei, Hainan, and Tibet are 0.914, 0.988, 0.903, 0.845, 0.984, 0.948, 0.936, 0.826, and 0.965, respectively, which are lower than 1, indicating that there is some degree of resource allocation degree of inefficiency in resource allocation. Taking 2012 as the base period, then the efficiency gap in China's higher education resource allocation will decrease by 3.671% per year in 2023, and the spatial gap in China's higher education investment efficiency is shrinking.

This thesis examines the impact of changes in higher education policy in Australia on equity for students and efficiency in resource allocation. This involves measuring the impact of the 2005 budgetary changes in the Higher Education Contribution Scheme (HECS) on the Private Rate of Return (PRR) and Social Rate of Return (SRR) to higher education for both males and females across different occupations and for different qualifications. This thesis examines the proposition that the movement of Australia's higher education system towards a user pays model with price flexibility will deliver greater efficiency. It also considers the argument that students should pay a greater proportion of the cost of higher education as they are the direct beneficiaries. This thesis shows that the increase in HECS fees has coincided with a fall in the quality of university graduates and the demand for a university education by higher achieving and low income students. In addition, this study also found that not only is the SRR positive but is greater than both the real rate of return on Commonwealth Government bonds and Government Trading Enterprises. These findings suggest that there is an inefficient allocation of resources and a need for the Government to allocate relatively more funding to the discipline areas with high Social Rates of Return and graduate skills shortages. This thesis suggests ways to improve the equity and efficiency of Australia's higher education system. These policy recommendations aim to increase the quality of and opportunity for higher education in Australia.

1. Visions of the Future. 2. Valuing the Environment: Concepts. 3. Valuing the Environment: Methods. 4. Property Rights, Externalities, and Environmental Problems. 5. Sustainable Development: Defining the Concept. 6. The Population Problem. 7. The Allocation of Depletable and Renewable Resources. 8. Depletable, Non-recyclable Energy Resources: Oil, Gas, Coal and Uranium. 9. Recyclable Resources: Minerals, Paper, Glass, etc. 10. Replenishable but Depletable Resources: Water. 11. Reproducible Private-Property Resources: Agriculture. 12. Storable, Renewable Resources: Forests. 13. Renewable Common-Property Resources: Fisheries and Other Species. 14. Generalized Resource Scarcity. 15. Economics of Pollution Control: An Overview. 16. Stationary-Source Local Air Pollution. 17. Regional and Global Air Pollutants: Acid Rain and Atmospheric Modification. 18. Mobile -Source Air Pollution. 19. Water Pollution. 20. Toxic Substances. 21. Environmental Justice. 22. Development, Poverty, and the Environment. 23. The Quest for Sustainable Development. 24. Visions of the Future Revisited.

The progressive adaptability of today’s mobile communication services and the prompt progressions in the mobile phones industry have steered to a remarkable development in the wireless market capacity. Notwithstanding the incessant advancement in the radio access technologies to manage with that growth. However, many remaining challenges, i.e., inefficient allocation and management of wireless network resources in Heterogeneous Wireless Networks (HWNs) when using the modern cellular mobile communications radio access technologies such as Wireless Local Area Network (WLAN)/Wi-Fi, Long-TERA Evolution (LTE) and Fifth Generation (5G)) still continue and needs to be addressed. This problem emanates from the enormous number of users sharing these resources, random distribution of wireless channels, scarceness of the wireless spectral resources, and the dynamic behavior of generated traffic. Therefore, this paper solves the identified problem by designing an Efficient Resource Allocation (ERA) algorithm to address the inefficient allocation of available resources versus quality of service (QoS) challenges. The obtained simulation results demonstrate the effectiveness of the proposed model to meet the objectives subject to limitations and constraints compared to other published works. On average, the proposed ERA algorithm, Joint Power Bandwidth Allocation (JPBA) algorithm, and Dynamic Bandwidth Allocation (DBA) algorithm have shown 98.9%, 85%, 81% throughput performance, respectively at a time interval of 100s.

Fast multi-resource allocation with patterns in large scale cloud data center

Dairy producers have focused on increasing production and ignored the implications this may have on resource allocation efficiency. Averaged comparative figures are used to justify the production message but these cannot distinguish the point at which diminishing profitability from additional inputs will occur. Resource allocation using Linear Programming allows the effects of a simultaneous variation in resources to be revealed. Dairy production profitability is optimised where technical and biological efficiency combine to provide the best economic and coincidentally, environmental outcomes.

Cloud computing is one among the emerging platforms in business, IT enterprise and mobile computing applications. Resources like Software, CPU, Memory and I/O devices etc. are utilized and charged as per the usage, instead of buying it. A Proper and efficient resource allocation in this dynamic cloud environment becomes the challenging task due to drastic increment in cloud usage. Various promising technologies have been developed to improve the efficiency of resource allocation process. But still there is some incompetency in terms of task scheduling and power consumption, when the system gets overloaded. So an energy efficient task scheduling algorithm is required to improve the efficiency of resource allocation process. In this paper an improved task scheduling and an optimal power minimization approach is proposed for efficient dynamic resource allocation process. Using prediction mechanism and dynamic resource table updating algorithm, efficiency of resource allocation in terms of task completion and response time is achieved. This framework brings an efficient result in terms of power reduction since it reduces the power consumption in data centers. The proposed approach gives accurate values for updating resource table. An efficient resource allocation is achieved by an improved task scheduling technique and reduced power consumption approach. The Simulation result gives 8% better results when comparing to other existing methods.

The study investigated the innovative ways that technical and vocational education can be managed for the attainment of Sustainable Development Goals (SDGs) in technical schools in Rivers State. The study adopted a descriptive survey design. Three (3) research questions and three (3) hypotheses guided the study. The population of the study consisted of 5000 students from 4 Government Technical and Vocational Schools in Rivers State. Stratified random sampling technique was used to select a sample size of 500 out of 5000 students. A Self – structured questionnaire titled “Innovative Management of Technical and vocational Education Students Questionnaire (IMTVESQ)” was used to elicit responses from the respondents. Cronbach Alpha method was used to establish a reliability index of 0.78. Mean, standard deviation and rank order were used to answer research questions while Z-test was used to test the hypotheses at a significance level of 0.05. The findings of the study revealed among others; that the contributions of technical and vocational education towards the attainment of Sustainable Development Goals (SDGs) in technical schools in Rivers State include: promotion of skill development, employment generation, provision of training and capacity building for teachers, poverty reduction in the society through food production and improved standard of living, raising employers of labour, instead of job seekers etc. It was concluded that the provision of quality education and adequate funding according to reasonable percentage suggested by UNESCO from the total budget, expected to serve as impetus for technical and vocational education teachers/ lecturers towards becoming more productive in the attainment of Sustainable Development Goals (SDGs) in Rivers State’s technical schools. It was recommended that Government should evolve more policy directive and implement the existing ones to the later for the needed change. Non-Governmental Organizations (NGOs) should also be more involved, investing maximum resources in the educational system; in order to encourage skill development and entrepreneurship spirit among youths, and to improve motivational strategies among teachers/ lecturers in technical schools in Rivers State.

[Objective] It has been included into national strategy that we are going to exploit the Yangtze river basin, promote the industrial gradient transfer, and realize sustainable development, to form the new economic supporting belt of China. Industrial undertaking zone is the key area to the sustainable development of the Yangtze River economic belt. Studying quantitatively the regional ecological environment pressure, calculating the threshold value of sustainable development can provide decision-making reference for transforming the development mode of the Yangtze River economic belt and realizing sustainable development. [Method] Dynamically analyze the sustainable development situation from 2006 to 2014 in the demonstration undertaking area of Jing-men city using the ecological footprint model, And comparatively study the current development situation of industrial undertaking areas under provincial scale. [Result] During the sample period, the ecological deficit and ecological pressure in demonstration area continue increasing at first, and the coordination becomes gradually poor, the peak appears in 2012, then the pressure release, coordination begins to recover gradually, resource utilization is becoming efficient. The relation of GDP and ecological footprint fits for typical Kuznets inverted U curve. Undertaking area and demonstration area both highlight the characteristics of “high pressure, low coordination, low development level”. [Conclusion] Put forward the suggestions of carrying out the main function area planning, improving the ecology efficiency of industry and resource allocation efficiency, etc. to cross the inflection point of Kuznets inverted U curve with a lower ecological footprint level, and realize sustainable development.

Purpose Protectionist measures and trade restrictions have far-reaching consequences on the world economy. The increasing popularity of economic nationalism is creating challenges to attain sustainable development goals (SDGs) and their indicators. Therefore, the study aims to investigate the consequences of economic nationalism on the SDGs in the 2030 Agenda for Sustainable Development framework. Design/methodology/approach The research administered a mixed-methods approach to integrate quantitative analysis and qualitative insights. The research deepens the complex interaction between economic nationalism and sustainable development. Findings The study’s findings identified the direct effects of economic nationalism on various SDGs, including poverty eradication, gender equality, industry and innovation, environmental sustainability, and global partnerships. The research found that low-income countries are the most suffering due to the protectionism policies of the world. The study also noticed the role of far-right political outfits in promoting economic nationalism. Research limitations/implications This study contributes to the ongoing dialogue on how economic nationalism can be aligned with the 2030 Agenda, facilitating the realization of the SDGs and a more sustainable future for all. Practical implications The outcomes of this research provide valuable insights for policymakers, enabling them to navigate the complexities of economic nationalism and its effects on sustainable development. Originality/value The insights of the study offer interconnectedness between economic nationalism and sustainable development, taking into consideration the complexity and potential trade-offs.

The performance of computational grids mainly depends on the resource allocation service of a resource management system. Efficient resource allocation is essential for better resource utilisation which could be for both providers and grid users. Resource allocation includes the scheduling of gridlets to the available resources. However, the biggest challenges for grid users are to select the best resources from the available grid resources and to allocate these resources for scheduling of the gridlets. To address these issues and enhance the resource utilisation process, we propose a semantic and proximity-aware fuzzy rule-based model that improves the resource utilisation in a grid environment. The model uses fuzzy techniques with four parameters such as semantic similarity, proximity, number of total machines and number of total processors of each machine. The experimental results provide promising results. Overall, the proposed semantic and proximity-aware fuzzy rule-based decentralised resource discovery model improves the resource utilisation by 23% as compared to non-fuzzy first come first serve (FCFS) technique in a computational grid environment.

Increasing the efficiency of resource allocation is the basis and guarantee for boosting high-quality economic development. Based on the panel data of Chinese industrial enterprises and cities from 2008 to 2013, this paper studies the influence of infrastructure construction demand shocks represented by local government debt expansion on the efficiency of sectoral resource allocation from the perspective of sectoral linkage. According to the empirical findings, local government debt significantly reduces the resource allocation efficiency of manufacturing sector that is highly related to infrastructure construction. This conclusion is still tenable after the robustness test using the simulated local government debt as an instrumental variable. Further mechanism tests show that there are two reasons for the decline of the efficiency of resource allocation in manufacturing sector that is highly related to infrastructure construction. First, more product demands and investments brought by the expansion of local government debt flow to less productive enterprises in the sector. Second, resource misallocation reduces the probability of high-productivity enterprises entering the market and low-productivity enterprises exiting the market, and the effect is more prominent in cities with high dependence on state-owned enterprises and high pressure on officials to be promoted. According to this study, the performance management of local government debt should be further strengthened, and particular attention should be paid to the influence of local government debt on enterprise investment and financing crowding out and resource misallocation.

Sustainable development (SD) has become a popular catchphrase in contemporary development discourse. However, in spite of its pervasiveness and the massive popularity it has garnered over the years, the concept still seems unclear as many people continue to ask questions about its meaning and history, as well as what it entails and implies for development theory and practice. In the present study, an attempt has been made to establish cause and effect relationship in between different land use patterns, total population, urban population and net state domestic products (NSDPs) for entire Madhya Pradesh (MP) from the year 1990-91 to 2000-01and to make an effective policy implications for sustainable forest management. The secondary information has been collected to fulfill the requirement of objectives. The purpose of this paper is to contribute to the discourse on SD by further explaining the paradigm and its implications for human thinking and actions in the quest for sustainable development. This is done through extensive literature review.

The quest for sustainable development is not feasible without alleviating poverty drastically, empowering the youths, encouraging entrepreneurship education for effective self-reliance and empowerment. This research banks on the strategies for achieving sustainable development in Nigeria. The strategies enumerated include but not limited to the following factors: poverty alleviation, youth empowerment, entrepreneurship education and effective leadership. The study adopted a conceptual approach in an attempt to x-ray the various strategies for achieving sustainable development in Nigeria. Materials were generated via internet, textbooks and other documents relevant to the study. The findings based on the literature reviewed indicated that sustainable development is achievable only when social, economic, political and environmental sustainability elements in Nigeria are stable, viable and equitable. The study also recommended that the federal, state and local government should ensure that funds allotted to them are properly disbursed to the concerned groups. The policy implication is that the Commitment will ensure adequate provision of social services that are beneficial to the poor masses; fostering growth, and the provision of an enabling environment to boast businesses in different dimensions.