Search Results (302)

This paper presents an econometric analysis to evaluate the economic, environmental, and social impacts of adopting renewable energy in the Smart cities of Singapore and the United Arab Emirates (UAE). Both countries have already invested heavily in clean energy and innovative urban projects, but they take different directions due to specific political, economic, and environmental factors. This study utilizes data spanning the period from 2000 to 2025 to estimate the effects of government policies, infrastructure investments, and technological advancements in renewable energy on economic growth, employment, energy use, and carbon emissions in these cities. The analysis employs panel data regression models and difference-in-differences (DiD) methods. This study finds that renewable energy investments in Singapore lead to a 0.32% increase in gross domestic product (GDP) growth and a 0.25% increase in employment in green sectors. In the UAE, investments in solar energy have led to a 0.29% increase in GDP growth; however, energy efficiency remains a significant challenge. The incorporation of public-private partnerships (PPPs) is shown to significantly enhance socio-economic outcomes, with a 12% increase in economic development and renewable sector jobs post-policy intervention. This study’s findings suggest that both Singapore and the UAE can benefit from strengthening public-private partnerships and focusing on innovative technological integration. For the UAE, expanding efforts in energy efficiency alongside scaling up solar infrastructure is essential. At the same time, Singapore can further optimize its existing renewable energy capacities through offshore wind energy and regional cooperation. This paper presents practical policy proposals to enhance the effectiveness of renewable energy policies in smart cities, specifically by maximizing the partnership between the state and the business sector, increasing investment in renewable energy infrastructure, and developing new technologies in energy storage and grid control. Future research could investigate the long-term socio-economic impacts of renewable energy policies on urban inequality, public health, and the global applicability of these findings to cities with diverse political and economic contexts. Full article

Background/Objectives: Oman Vision 2040, the national blueprint for socio-economic transformation, aims to elevate the Sultanate to developed nation status, with the “Health” priority committed to building a “Leading Healthcare System with International Standards” via a Health in All Policies (HiAP) approach. This paper critically reviews Oman’s strategic health directions and implementation frameworks under Vision 2040, assessing their alignment with global Sustainable Development Goals (SDGs) and serving as a case model for health system transformation. Methods: This study employs a critical narrative synthesis based on a comprehensive literature search that included academic, official government reports, and international organization sources. The analysis is guided by the World Health Organization’s (WHO) Health Systems Framework, providing a structured interpretation of progress across its six building blocks. Results: Key interventions implemented include integrated governance (e.g., Committee for Managing and Regulating Healthcare), diversified health financing (e.g., public private partnership (PPPs), Health Endowment Foundation), and strategic digital transformation (e.g., Al-Shifa system, AI diagnostics). Performance metrics show progress, with a rise in the Legatum Prosperity Index ranking and an increase in the Community Satisfaction Rate. However, critical challenges persist, including resistance to change during governance restructuring, cybersecurity risks from digital adoption, and system fragmentation that complicates a unified Non-Communicable Disease (NCD) response. Conclusions: Oman’s integrated approach, emphasizing decentralization, quality improvement, and investment in preventive health and human capital, positions it for sustained progress. The transformation offers generalizable insights. Successfully realizing Vision 2040 demands rigorous, evidence-informed policymaking to effectively address equity implications and optimize resource allocation. Full article

Exclusive residential developments have drawn growing attention in South African cities, where urbanisation and socioeconomic disparities continue to reshape the built environment. This study examines the underlying drivers of their proliferation and presents a taxonomy of the key forces influencing their growth. The aim is to present results of a study that sought to examine the driving forces behind the growth of exclusive residential developments. Drawing from a literature review and a quantitative inquiry approach, primary data was also collected from 109 built environment professionals. Descriptive and inferential statistical methods, particularly exploratory factor analysis (EFA), were employed to enhance the analysis. The descriptive assessment, utilising the mean score (MS) ranking technique, revealed that one of the primary factors influencing the development of exclusive residential communities was the perception among prospective residents that these environments offer enhanced safety and security. Additionally, there is a good chance that these developments may increase in value. Furthermore, the EFA revealed that the underlying grouped factors for exclusive development were ‘free market capitalism’; ‘safety and security’; ‘local demand’; ‘public–private partnership (PPP)’; ‘affordability’; and ‘profit seeking’. These findings suggest that if housing costs rise, the average citizen may not be able to afford them due to the emphasis on maximising profits over affordability. Safety and security precautions can create a sense of exclusivity and seclusion in these communities, possibly cutting them off from the larger local community and affecting local demand for goods and services outside the community’s borders. Full article

This study analyses the factors influencing renewable energy infrastructure public–private partnership (PPP) financing, using data from 28 countries covering the period from 1996 to 2024. A composite institutional quality index was constructed using Principal Component Analysis (PCA). The analysis employs a panel econometric framework: the autoregressive distributed lag (ARDL) model to capture short- and long-term dynamics. The results highlight the significance of the time dimension on renewable energy PPP financing. In the short term, none of the predictor variables are significant, reflecting the inherently long-term character of renewable energy PPP investments. However, in the long term, gross domestic product per capita, inflation dynamics, efficiency in energy transmission, and institutional quality are identified as key determinants of renewable energy investment. The findings suggest that strengthening sector-specific regulatory frameworks and improving various aspects of institutional quality as defined by the World Governance Indicators can be important to attract private capital in energy PPPs. These institutional reforms, complemented by growth-oriented macroeconomic policies, would contribute to making renewable energy markets more attractive while reducing exposure to macroeconomic and institutional risks. Full article

This study explores the relationship between public–private partnerships (PPPs) and smart cities in the literature that use information and communication technologies (ICTs) for sustainable urban development. This study explores, based on VOSviewer software 1.6.20, thematic and geographic patterns in academic articles (from Scopus) to identify central themes and knowledge gaps. The key findings highlight a lack of consideration of the African context in studying this subject and the prioritization of technological, governmental, and financial aspects more than social dimensions. The aim of this research is to guide policymakers, planners, and researchers by addressing these gaps to use as future recommendations. Full article

Tackling climate change in the public–private partnership (PPP) infrastructure sector requires radical transformation of projects to make them resilient against climate risks and free from excessive carbon emissions. Types of PPP infrastructure such as transport, power plants, hospitals, schools and residential buildings experience more than 30% of global climate change risks. Therefore, this study aims to examine the interrelationships between the climate risk management strategies in PPP infrastructure projects. The first step in conducting this research was to identify the strategies through a comprehensive literature review. The second step was data collection from 147 PPP stakeholders with a questionnaire. The third step was analysing the interrelationships between the strategies using a partial least square–structural equation model approach. The findings include green procurement, defined climate-resilient contract award criteria, the identification of climate-conscious projects and feasible contract management strategies. The results provide understanding of actionable measures to counter climate risks and they encourage PPP stakeholders to develop and promote climate-friendly strategies to mitigate climate crises in the PPP sector. The results also serve as foundational information for future studies to investigate climate change risk management strategies in PPP research. Full article

The increasing complexity and commercialization of the global space sector have elevated the strategic role of public–private partnerships (PPPs). However, the criteria for selecting suitable PPP models remain underexplored, particularly regarding the influence of national policy and market environments. This study proposes a decision-making framework that links six indicators—national strategic goals, government role preferences, regulatory structures, capital access, private-sector capabilities, and commercial demand—to four distinct PPP models in the space sector. Drawing on Eisenhardt’s multi-case theory-building methodology, this study analyzes PPP evolution in four countries representing mature, emerging, and nascent countries: the United States, Japan, India, and the United Arab Emirates. The cross-case analysis reveals that high-autonomy PPP models emerge only when institutional, financial, and market factors are systemically aligned. Divergence in PPP forms is driven not solely by technical capabilities but also by governance postures and regulatory designs. The findings contribute to addressing ongoing challenges related to policy reform and increasing private-sector involvement in the space sector by developing a practical decision-making tool for public and private-sector actors engaged in space governance. Specifically, the diagnostic framework enables stakeholders to assess national readiness and select appropriate PPP models. It also supports strategic planning by highlighting the reforms and capacity-building measures required for countries with nascent and emerging economies to transition from government-led missions to commercially integrated space ecosystems. Full article

Social sustainability is crucial in Public–Private Partnership (PPP) elderly care projects, as it ensures that the private sector prioritises improving stakeholders’ quality of life alongside profit generation. This study explores how to structure PPP projects to effectively achieve social sustainability. The research adopts a prescriptive theorising approach, using predefined social sustainability goals as a basis for exploring their achievement process. A single case study was conducted on an elderly care PPP project in China. The case analysis confirms that achieving social sustainability is vital for PPPs, requiring sustainable processes to guarantee the delivery of sustainable services. This research contributes to understanding how social sustainability can be achieved in PPP elderly care projects, with a particular focus on the achievement process. By focusing on elderly care, the study demonstrates how PPPs can be structured to deliver high-quality care services and proposes a structured method for analysing and achieving social sustainability by integrating prescriptive theorising with backcasting. Additionally, the research findings assist both the public and private sectors in refining policies, strengthening governance, and enhancing the long-term sustainability of elderly care PPPs. Full article

The incentive mechanism functions as a core safeguard to ensure the efficient execution of consortium-based Public–Private Partnership (PPP) projects and the realization of value-added outcomes. The heterogeneity of consortium members, their reciprocal preferences, and the collaborative dynamics of the team collectively contribute to the formation of project alliances characterized by resource synergy, complementary advantages, and risk sharing. However, these same factors also contribute to the multi-layered structure of principal–agent relationships and the inherent complexity of incentive pathways and mechanisms in consortium-based PPP settings. Drawing upon the team collaboration effect and reciprocal preferences among consortium members, this study incorporated the member heterogeneity and developed three incentive models for such projects, such as the Dual-Performance (DP) mode, the Total-Performance (TP) mode, and the Individual-Performance (IP) mode. This study examined the conditions under which these incentive modes were established, the relationship between incentive intensity and optimal effort levels of consortium members, and the influence of reciprocal preferences on incentive effectiveness. Further, the selection criteria and appropriate application scenarios for each of the three incentive models were analyzed according to a comparative analysis, thereby putting forward effective suggestions for improving the effort levels of private investors in consortium-based PPP projects. The study results indicate that team synergy effects play an imperative role in improving the optimal effort levels under all three modes, whereas reciprocity preferences exhibit a negative relationship with effort in the DP and TP modes. When reciprocity remains within a moderate range, the DP mode achieves highest aggregate effort levels, whereas the IP mode induces positive incentive effects only under extreme reciprocity conditions. Thus, the application of dual incentive coefficients can enhance operational adaptability and allocative efficiency and governments should establish a multidimensional collaborative incentive for consortium-based PPP projects to strengthen effectiveness and project quality. This comprehensive evaluation provides crucial insights for policymakers, emphasizing the strategic selection of incentive mechanisms to enhance the sustainability and effectiveness of consortium-based PPP Projects. Full article

Public–Private Partnership (PPP) procurement is a relatively new approach in Nigeria’s housing sector. This study introduces a Fuzzy Risk Allocation Decision Model (FRADM) designed to address the complex and subjective nature of risk allocation in PPP-procured Mass Housing Projects (MHPs). A structured quantitative approach involving 40 purposively selected PPP housing experts was employed. Using a fuzzy synthetic evaluation (FSE) technique, critical risk factors were assessed based on partners’ risk management capabilities and allocation criteria. Constants (Ci) normalized the risk-carrying capacity indices (RCCIs) of both public and private sectors. Results show that risk attitude ranks highest among nine allocation criteria (MIS = 6.21), with the private sector demonstrating higher overall risk management capability. For instance, the availability of finance risk is optimally shared 53.48% to the private and 46.52% to the public sector. The FRADM was validated as reliable, practical, and replicable. Implications point to enhanced transparency, equitable risk-sharing, and support for SDG 11. The model is a strategic tool for decision-makers in PPP housing delivery in Nigeria and can inform similar efforts in other emerging economies. Further research should examine applications across other infrastructure sectors. Full article

Public–private partnership (PPP) logistics infrastructure projects have become increasingly prevalent globally. Consequently, the effective management of these projects as their concession periods expire presents a crucial challenge for governments, vital for the sustainable management of PPP logistics infrastructure. This study addresses this challenge by focusing on the pivotal post-concession decision: whether the government should self-operate the mature logistics infrastructure or re-delegate its management to a private entity. Our theoretical model, built on a principal–agent framework, first establishes a social welfare baseline under government self-operation and then analyzes delegated operation under symmetric information, identifying efficiency frontiers. Under symmetric information, we find that government self-operation is more advantageous when its own operational efficiency is sufficiently high, irrespective of the private enterprise’s efficiency; conversely, delegating to an efficient private enterprise is optimal only when government operational efficiency is low. We also demonstrate that if the government can directly specify the demand quantity and service level and delegates operation via a fixed fee, the enterprise can be incentivized to align with the social optimum. However, under asymmetric information, potential welfare gains from delegation are inevitably offset by informational rent and output distortion. We further uncover non-monotonic impacts of parameters like the proportion of low-cost firms on social welfare loss and demonstrate how information asymmetry can indirectly compromise the long-term resilience of the infrastructure. Ultimately, our work asserts that delegation is only superior if its potential efficiency gains sufficiently offset the inherent losses stemming from information asymmetry. Full article

This paper proposes an incentive scheme based on a public–private partnership (PPP) to encourage low-carbon travel behavior by inducing the mode choice shift from private cars to public transit. The scheme involves three key entities: travelers, the government, and the private sector. Travelers can choose between private cars and public transit, producing different emissions. As the leader, the government aims to reduce total emission to a certain level with limited budgets. The private sector, as an intermediary, invests subsidies in low-carbon rewards to attract green travelers and benefits from a larger user pool. A two-layer multi-objective optimization model is proposed, which includes travel time, monetary cost, and emission. The objective of the upper level is to maximize the utilities of the private sector and minimize social costs to the government. The lower layer is the user equilibrium of the travelers. The numerical results obtained through heuristic algorithms demonstrate that the proposed scheme can achieve a triple-win situation, where all stakeholders benefit. Moreover, sensitivity analysis finds that prioritizing pollution control strategies will be beneficial to the government only if the unit pollution control cost coefficient is below a low threshold. Contrary to intuition, larger government subsidies do not necessarily lead to better promotion of low-carbon travel. Full article

This study investigates the empowering role of public–private partnerships (PPPs) in the economic sustainability of waste management (ESW) and the circular industry economy (CIE), specifically in the small, rapidly industrialising Emirate of Ajman, UAE. Embracing a circular economy is vital for the sustainability agenda while forging a transformative commitment to planetary health (PH) in a manner that is especially crucial for small states with limited carrying capabilities. A quantitative methodological orientation is employed in a survey-based research design, followed by the Partial Least Squares Structural Equation Modelling statistical technique to test the hypothesised relationships. Sampling involved the three sub-populations of government employees (n = 123), managers/employees of private waste collection businesses (n = 106), and employees of private industrial waste generation industries (n = 276). Findings indicate that PPP empowerment positively impacts ESW and contributes to the creation of CIE. Moreover, ESW fosters the growth of CIE in Ajman. Notably, the perspectives of government stakeholders differ from those of non-government actors. This research underscores the significance of PPP empowerment in the development of CIE towards SDGs 11, 12, and 17, emphasising the mediating role of ESW between PPPs and CIE in small, rapidly industrialising states. The study recommends that the Ajman government implement training and social initiatives aimed at aligning the sustainability perspectives of all stakeholders involved in waste management to promote the mutual benefits of “people, places, and planet”. Full article

The public–private partnerships (PPP) mode is very popular in public infrastructure projects. The PPP model for sponge city construction (SCC) provides an effective way to curb and manage the increasingly serious ecological water problems in China. The quantitative evaluation of value for money (VFM) is an evaluation method that obtains quantitative values through a certain calculation process. However, the current studies lack a dynamic quantitative evaluation of VFM for the entire life cycle of SCC PPP projects, and cannot observe the impact of key factors on the VFM value. By constructing a system dynamics (SD) model for the VFM quantitative evaluation of SCC PPP projects from the perspective of the whole life cycle, this study can intuitively and transparently observe the impact of key factors (such as discount rate and profit margin) on the evaluation results and feasibility of adopting a PPP model in the project, offering policymakers a tool to mitigate the risks of “Pseudo-PPP” projects. After collecting cases in Anhui province from the China PPP Center, this study constructed a life cycle VFM quantitative evaluation system dynamics model suitable for SCC PPP projects that consist of the public sector comparison (PSC) value and PPP value. The results indicate that the system dynamics model can be effectively applied to the dynamic quantitative evaluation of SCC PPP projects and clarify the influence degree on and sensitivity of various factors to the VFM value. Specifically, when the discount rate increases, the decrease in the PPP value is greater than that in the PSC value, leading to an increase in the VFM value. Moreover, a reasonable profit margin is more sensitive to the VFM value and decreases as the reasonable profit margin increases. In addition, choosing different availability service fee calculation methods will result in varying the adjustment range to a reasonable profit margin that drives the adoption of VFM quantitative evaluation. These research findings have provided a viable dynamic research methodology for the quantitative VFM evaluation of SCC PPP projects. This methodology enables the dynamic visualization and easy determination of the acceptable ranges for relevant factors, offers rational policy recommendations for the quantitative evaluation of key factor values, and thereby effectively prevents PPP project violations, promoting fair and reasonable cooperation between governments and private enterprises. Full article

The vulnerabilities of critical infrastructure and other disruptive events expose urban communities to severe risks. Public–private partnership (PPP) is an intensive cooperation between public and private actors with enhanced and more innovative services and policy outputs that can be achieved in building urban community resilience. Considering the potential of building urban community resilience through PPP, there is a need to assess the performance of using PPP in urban community resilience building. This study aims to develop a model for assessing the performance outcome for building urban community resilience through PPP. A questionnaire survey was conducted with experienced practitioners globally. The fuzzy synthetic evaluation method was used to develop an evaluation tool that could be used to objectively assess performance outcomes of PPP in urban community resilience building. The tool consists of five critical assessment indicators with defined coefficients: “Resilient urban community physical capital (0.270)”, “Well-developed community stakeholder engagement and training policies” (0.215), “Strong urban community disaster resilience PPP policy” (0.202), “Restriction and preservation” (0.197), “Existence of effective urban disaster risks database and PPP communication plan” (0.116). This performance assessment model can be used as a baseline for measuring the performance of PPP in urban community resilience building. Full article