Search Results (26)

The marginalisation of the inner areas due to increased social, material, economic and infrastructural vulnerability is a growing phenomenon affecting many countries today. Although, specific policies, measures, and funding have recently been proposed to address this issue, they have been slow to produce the expected results. Those responsible for decision-makers regarding the prospect of territorial rebalancing need support in identifying the residual value of these marginal areas. This will help them recognise where and how this value can be emphasised in an integrated, long-term redevelopment process. Based on an axiological perspective of territorial capital forms, the research project has developed a “Geo-referenced Value-based Knowledge Model” using Multi-attribute Value Theory (MAVT). It plays a key role in estimating the Reaction Capability Index (I_RCI) of Sicily’s “inner areas”. The results demonstrate the reaction capability of the municipalities in these areas. As a measure of the overall endowment of territorial capital, the I_RCI index can help decision-makers National Strategy Inner Areas (NSIA), promote the efficient use of resources, and encourage the effective implementation of policies aimed at rebalancing the territory. Full article

This study investigates the structural and cyclical determinants of tropical hardwood exports among member countries of the International Tropical Timber Organization (ITTO) over the period 1995–2022—a sector historically characterized by persistent value imbalances. The central research issue addresses the enduring asymmetries in the global value chain, shaped by unequal industrial capacities, limited access to environmental certifications, and entrenched North–South trade relations. The study pursues three main objectives: (1) to develop a typology of exporting countries; (2) to estimate heterogeneous trade elasticities; (3) to propose a policy framework that reconciles equity with sustainability. The empirical findings identify four export profiles: (i) raw producers with minimal local processing; (ii) marginal players with weak trade integration; (iii) high-value-added re-export platforms (notably in Asia); (iv) major consumer markets. Trade effects vary across regions. In the short term, imports boost exports (+0.33%), particularly in re-export models seen in Asia, the USA, and the EU, while local production remains limited in Africa due to weak industrial capacity. In the long term, both domestic production and imports have a positive impact (+0.38% and +0.37%), but only countries with strong industrial bases fully benefit. Population size (+1.29%) also reinforces the advantage of large markets like China and India, supported by short-term economic growth elasticity (+1.1%), likely driven by improved logistics or rising demand from importing countries. In response, the policy implications converge around the proposal of a “Fair and Digital Timber Trade Model” (F&DTTT), structured around three pillars: (a) specialized economic zones aligned with SDGs 8, 12, and 15; (b) blockchain-based traceability systems to enhance supply chain transparency; (c) South–South cooperation strategies aimed at commercial, regulatory, and institutional rebalancing, including potential cartelization initiatives among Southern countries. Supported by a robust methodological framework, this study provides a forward-looking pathway for transforming the tropical timber trade into a vector of equity and sustainability. Full article

Bikeshare systems usually relocate bikes to respond to a mismatch between demand and bike supply, imposing substantial costs to operators despite the effort to encourage users to participate in voluntary rebalancing. This study initiates a search for a new strategy that can involve single station-based (SSB) riders and consider their bikes as the reserve of the current bike balance, resulting in the virtual expansion of station capacity. Thus, the behaviors of bike riders related to SSB trips are compared to investigate the potential applications. The results from analyzing the data of Citi Bike in New York City indicate that 13.4% of total trips were SSB, and the average trips per origin and destination (OD) pair was 2.6 times higher. Also, distinctive characteristics such as mean trip time regarding user groups and bike types were statistically significant within numerous OD pairs, implying the need for separate policies for both groups. Based on the analysis, stations with the highest expected benefit are identified. Full article

The need for integrated governance of water–energy–land–food (WELF) systems has become paramount in achieving sustainable low-carbon transitions, yet policy consistency across these interdependent sectors remains critically underexplored. This study presents the first systematic assessment of policy consistency and synergy within China’s WELF framework, employing an innovative mixed-methods approach that combines a modified Policy Modeling Consistency (PMC) Index with Content Analysis Methodology (CAM). Policy consistency follows a clear hierarchy: energy (PMC = 9.06, ‘Perfect’), water (8.26, ‘Good’), land (7.03, ‘Acceptable’), and food systems (6.91, ‘Acceptable’), with land–food policies exhibiting critical gaps in multifunctional design. Policy synergy metrics further reveal pronounced sectoral disparities: energy (PS = 0.89) and water (0.81) policies demonstrate strong alignment with central government objectives, whereas land (0.68) and food (0.64) systems exhibit constrained integration capacities due to uncoordinated policy architectures and competing sectoral priorities. Building on these findings, we propose three key interventions: (1) institutional restructuring through the establishment of an inter-ministerial coordination body with binding authority to align WELF sector priorities and enforce consistent and synergy targets, (2) the strategic rebalancing of policy instruments by reallocating fiscal incentives toward nexus-optimizing projects while developing innovative market-based mechanisms for cross-sectoral resource exchange, and (3) adaptive governance implementation through regional policy pilots, dynamic feedback systems, and capacity-building networks to enable context-sensitive WELF transitions while maintaining strategic consistency and synergy. These recommendations directly address the structural deficiencies in WELF governance fragmentation and incentive misalignment identified through our rigorous analysis, while simultaneously advancing theoretical discourse and offering implementable policy solutions for achieving integrated low-carbon transition. Full article

This study investigates the structural transformation of Shanghai’s economy (2004–2023), analyzing the interplay between industrial shifts and sustainable growth. While prior work has focused on short-term trends or isolated sectors, we provide the first comprehensive analysis of Shanghai’s two-decade transition from manufacturing to services, leveraging annual nominal GDP data and three forecasting models (Autoregressive Integrated Moving Average model ARIMA, Support Vector Machine SVM, and Grey Model GM). Our findings reveal that the tertiary sector’s contribution surged from 50.8% to 75.2% of GDP, driven by finance, technology, and real estate, while the secondary sector declined to 24.6%. The autoregressive integrated moving average ARIMA(1,1) model outperformed alternatives (mean absolute percentage error 2.97%), projecting GDP growth to CNY 60,321.54 trillion by 2026. Crucially, we demonstrate that Shanghai’s structural evolution aligns with advanced urban economies (e.g., New York, Tokyo), yet retains distinct industrial resilience due to China’s dual-circulation policy. These results challenge assumptions about manufacturing decline, instead highlighting a rebalancing toward high-value-added sectors. The study contributes (1) a validated framework for forecasting urban GDP in policy-stabilized economies and (2) empirical evidence for prioritizing tertiary innovation in sustainable development strategies. Policymakers and researchers can leverage these insights to navigate trade-offs between growth, equity, and environmental goals in rapidly urbanizing regions. Full article

In the sustainable evolution of the entrepreneurial ecosystem, the efficiency of early-stage capital allocation directly affects the intergenerational transmission capacity of innovation resources. The financing barriers caused by information asymmetry urgently require institutional solutions. This study, based on tracking data from 19,463 startups in China’s information technology sector (2016–2019), analyzes how government-certified incubators (GCIs) optimize the sustainability of the entrepreneurial ecosystem through signaling mechanisms. The empirical results show that collaboration with a GCI can significantly increase the likelihood of IT startups securing venture capital by approximately 25%. This effect is not only due to the strict screening and resource support provided by GCIs, but also due to their role in amplifying internal signals from startups, such as the experience of founders and intellectual property. Notably, in the IT sector, the impact of GCIs is more significant for startups traditionally disadvantaged, particularly those led by female founders. Our research demonstrates that GCIs drive the sustainable development of the entrepreneurial ecosystem through three signaling mechanisms: (1) institutional certification screening, which optimizes the intergenerational allocation efficiency of ecosystem resources; (2) the signaling validation–amplification mechanism, which enhances the value of intellectual property and founder experience, alleviating investors’ challenges in quantifying startup potential; (3) inclusive signal rebalancing, where GCI certification significantly improves the funding success rate of female founders, breaking traditional market biases in screening disadvantaged groups and supporting the inclusive and sustainable development of the entrepreneurial ecosystem. These findings provide a new pathway for emerging economies to optimize the resilience of their entrepreneurial ecosystems through policy tools: for governments, GCIs achieve sustainable development goals at low institutional cost; for investors, the signal integration mechanism reduces investment information friction; and for entrepreneurs, certification endorsements accelerate market validation of sustainable business models. Full article

The co-movement of multi-asset markets in emerging markets has become an important determinant for investors seeking diversified portfolios and enhanced portfolio returns. Despite this, studies have failed to examine the determinants of the co-movement of multi-asset markets such as investor sentiment and changing market conditions. Accordingly, this study investigates the effect of investor sentiment on the co-movement of South African multi-asset markets by introducing alternating market conditions. The Markov regime-switching autoregressive (MS-AR) model and Markov regime-switching vector autoregressive (MS-VAR) model impulse response function are used from 2007 March to January 2024. The findings indicate that investor sentiment has a time-varying and regime-specific effect on the co-movement of South African multi-asset markets. In a bull market condition, investor sentiment positively affects the equity–bond and equity–gold co-movement. In the bear market condition, investor sentiment has a negative and significant effect on the equity–bond, equity–property, bond–gold, and bond–property co-movement. Similarly, in a bull regime, the co-movement of South African multi-asset markets positively responds to sentiment shocks, although this is only observed in the short term. However, in the bear market regime, the co-movement of South African multi-asset markets responds positively and negatively to sentiment shocks, despite this being observed in the long run. These observations provide interesting insights to policymakers, investors, and fund managers for portfolio diversification and risk management strategies. That being, the current policies are not robust enough to reduce asset market integration and reduce sentiment-induced markets. Consequently, policymakers must re-examine and amend current policies according to the findings of the study. In addition, portfolio rebalancing in line with the findings of this study is essential for portfolio diversification. Full article

This article argues that, while Corporate Social Responsibility (CSR) is gaining traction in the hospitality and tourism sectors, it is skewed in favour of environmental matters to the detriment of social issues. It could thus be more aptly termed ‘Corporate Environmental Responsibility (CER)’. This calls for a shift in direction that balances social and environmental matters. Based on the extant literature, this article proposes strategies to achieve such rebalancing. In particular, it proposes the introduction of a CSR rating/classification system that considers various aspects of CSR, suggesting it should be based on international and national regulations or policies. While the recommended strategies will not change the tourism sector’s CSR overnight, they would promote redistribution and enable the sector to contribute to a more egalitarian and just world. Full article

Existing studies have limited evidence about the complex nonlinear impact mechanism of road network topology and built environment on bike-sharing systems’ greenhouse gas (GHG) emission reduction benefits. To fill this gap, we examine the nonlinear effects of road network topological attributes and built environment elements on the potential GHG emission reduction of dockless bike-sharing (DBS) trips in Shenzhen, China. Various methods are employed in the research framework of this study, including a GHG emission reduction estimation model, spatial design network analysis (sDNA), gradient boosting decision tree (GBDT), and partial dependence plots (PDPs). Results show that road network topological variables have the leading role in determining the potential GHG emission reduction of DBS trips, followed by land use variables and transit-related variables. Moreover, the nonlinear impacts of road network topological variables and built environment variables show certain threshold intervals for the potential GHG emission reduction of DBS trips. Furthermore, the impact of built environment on the potential GHG emission reduction of DBS trips is moderated by road network topological indicators (closeness and betweenness). Compared with betweenness, closeness has a greater moderating effect on built environment variables. These findings provide empirical evidence for guiding bike-sharing system planning, bike-sharing rebalancing strategy optimization, and low-carbon travel policy formulation. Full article

The period from January 2020 to December 2022 was marked by a confluence of major events, including the COVID-19 pandemic, the Russia–Ukraine war, the energy crisis, surging inflation, Federal Reserve policy shifts, and banking turmoil, which collectively fueled heightened market volatility, risk management needs, and speculative trading opportunities, leading to volatile swings in trading volume concentration across financial markets, with periods of significant increases followed by rapid declines. This paper examines the variation in the concentration of trading volume across the full spectrum of S&P 500 companies, with a focus on explaining the reasons behind the stochastic changes in trading volume concentration. We analyze different concentration measurement methods, including the power law exponent, the Herfindahl–Hirschman Index, and the Gini-based Trading Concentration Index (TCI). The research employs a novel experimental design, comparing a concentration-driven portfolio, rebalanced daily based on the top 30 stocks by trading volume, against the S&P 500 benchmark. Our findings reveal that the Gini-based TCI fluctuated between 55.98% and 77.35% during the study period, with significant variations coinciding with major market events. The concentration-driven portfolio outperformed the S&P 500, achieving an annualized return of 10.66% compared to 5.89% for the index, with a superior Sharpe ratio of 0.325 versus 0.19. This performance suggests that following trading volume concentration can yield above-average results. However, this study also highlights the importance of understanding and managing the risks associated with concentrated portfolios. This study contributes to the literature on market dynamics and offers practical insights for investors and fund managers on optimizing portfolio strategies in response to evolving concentration patterns in financial markets. Full article

This paper describes the first results of the application of an innovative methodology for the development of a walkability overall index for urban street infrastructure, aimed at the application of urban design techniques to improve the urban form and its use by pedestrians. The general objective of the research is to identify the performance of the current city walkable network, to structure public policies and strategies consistent with it aimed at rebalancing settlements and infrastructure, and above all at the development of active mobility. The methodology defined integrates three approaches on walkability analysis: geometric–morphological, proximity, and sociality. In this paper, the analysis process related to the geometric–morphological component and partly to that of proximity will be described. It will be applied to the case study of the city of L’Aquila (Italy), a city undergoing reconstruction after the 2009 earthquake. From the first results of the application of the methodology to the case study, it emerges that the urban area analyzed is not capable of hosting walkable infrastructures unless urban design interventions are aimed at structuring an efficient network of pedestrian paths. In the future development of the study, it is expected to conclude the analysis of the proximity and social components, the other two groups of analysis considerations for walkability, which will complete the experimentation of the general methodology. Full article

Large infrastructure projects play a crucial role in regional development but can also negatively impact cultivated-land protection. This study focuses on the role of local governments in land-use conflicts and the rebalancing of land-use structures during large infrastructure construction. Using the construction of a reservoir in the Huaihe River as a case study, the research examines the evolution of government attention and the process of township local governments promoting land-use adjustment. The findings reveal that local governments go through a process of “Create–Reinforce–Adjust–Delivery” in their attention to reservoir construction to maximize their interests. Attention fluctuates in terms of reservoir construction, cultivated-land protection, and immigration-development assistance. Biased land-use decisions were made at different stages, leading to four stages of rebalancing efforts: “Generation–Challenge–Marked effect–Continuous negative impact”. This process provides insights into land-use decision-making and the rebalancing of land-use structure. The study suggests that the superior government should guide local governments to enhance attention to cultivated-land protection through laws and policies, while local governments should focus on the quality protection of cultivated land and mitigate the negative impact of rebalancing efforts. Full article

Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limits the comprehensiveness of the analysis of the impact of the pandemic on bike-sharing. In this study, we combine geospatial network analysis and origin-destination (OD) clustering methods to explore the spatiotemporal change patterns hidden in the bike-sharing data during the pandemic. Different from previous research that mostly focuses on the analysis of riding behaviors, we also extract and analyze the rebalancing data of a bike-sharing system. In this study, we propose a framework including three components: (1) a geospatial network analysis component for a statistical and spatiotemporal description of the overall riding flows and behaviors, (2) an origin-destination clustering component that compensates the network analysis by identifying large flow groups in which individual edges start from and end at nearby stations, and (3) a rebalancing data analysis component for the understanding of the rebalancing patterns during the pandemic. We test our framework using bike-sharing data collected in New York City. The results show that the spatial distribution of the main riding flows changed significantly in the pandemic compared to pre-pandemic time. For example, many riding trips seemed to expand the purposes of riding for work–home commuting to more leisure activities. Furthermore, we found that the changes in the riding flow patterns led to changes in the spatiotemporal distributions of bike rebalancing, such as the shifting of the rebalancing peak time and the increased ratio between the number of rebalancing and the total number of rides. Policy implications are also discussed based on our findings. Full article

Income inequality in China has become increasingly serious since the beginning of the economic reform period in the 1970s, with urban–rural income inequality playing a large role. Urbanization policy and monetary policy are currently important economic policy tools for the Chinese government. In order to investigate the influence of inequality on the economy and to provide recommendations for ensuring the sustainability of growth, we study the effect of urban–rural income inequality on economic growth in the context of urbanization and monetary policy in China between 2002 and 2021. Using a flexible time-varying parametric structural vector auto-regression (TVP-VAR) model and a robust Markov chain Monte Carlo (MCMC) algorithm, our empirical results show that the effect is time-varying, with inequality promoting growth in the early years but affecting it adversely at later stages. Currently, urbanization mitigates inequality and promotes growth simultaneously, while easy monetary policy worsens inequality and affects growth adversely in the long term. We suggest that the authorities need to consider the implementation of policy rebalancing to ensure that the sustainability of economic development is not jeopardized because of worsening income disparity. Proactive urbanization policy and prudent monetary policy are viable rebalancing options. Full article

These notes describe the evolution of the EU strategy for the integration of Third Country Nationals since the Tampere Program in 1999 until the second Action Program (2021–2027). It highlights the EU’s endeavor to close the gap between migrants and EU citizens in compliance with the EU general anti-discrimination policy and, since the entry of the Lisbon Treaty into force, of the EU Charter of Fundamental Rights. Accordingly, the current integration strategy has a much wider legal and financial basis than the one described by art. 79.2 of the TFEU. This new individual-centered and wide-ranging public approach can now be strengthened through the new European Digital Agenda, whose aim is also to reframe and make the relations between the individual and public administration more user friendly. However, in the human mobility domain, the large EU acquis, which is currently focused on internal security, should be re-balanced from a legislative and operational point of view to avoid the risk of infringing on data protection principles and establishing a mass surveillance framework, which could be incompatible with the EU as a democratic society and a rule of law-abiding organization. Within this very complex framework, a promising development is the establishment of a new European Asylum Agency, which may pave the way for more consistent EU asylum and migration policies. Full article