Local Projects Research Articles

Energy ethics in the assessment of local renewable energy projects: the need for a pluralistic approach

ABSTRACT Local decentralized energy projects are becoming an important component of the transition to renewable energy. These projects include aspirations that go beyond merely clean energy projection and include side benefits like fostering community empowerment, social cohesion, economic gains, and job opportunities. However, there is little evidence to what extend these projects deliver their promises and how different groups perceive the projects’ impacts in the post-implementation phase. Most of the existing assessment projects have a technoeconomic nature and are led by external stakeholders. Thus, they often fail to account for the local demands and expectations. The present study aims to bridge this gap by proposing the use of an ethical matrix combined with a follow-up deliberative workshop to evaluate the impact of local renewable energy projects postimplementation. Using the example of El Hierro Island’s local energy project, the study identifies project stakeholders and discusses their views. Results reveal significant differences in actor opinions, emphasizing the necessity to move beyond narrow project assessments to a pluralistic approach using ethical tools to challenge established moral frameworks.

COVID-19 as a driver for e-participation: insights from participatory budgeting in Poland

PurposeThis paper explores how COVID-19 has impacted the shift from public participation by conventional means to e-participation. Specifically, we investigated to what extent COVID-19 has been a driver for electronic participation in community participatory budgeting, which is a kind of residents’ consultation on how to spend part of a budget on local projects. We expounded on the concept of e-participation and its sub-concepts and investigated how these were applicable to participatory budgeting.Design/methodology/approachWe interviewed 34 leading managers in five City Halls in Poland regarding their views and experiences with moving public interactions related to participatory budgeting online during COVID-19.FindingsThe findings indicated that COVID-19 has accelerated the digitalization of the participatory budgeting processes and, to some extent, may have increased community participation in general. We observed increased e-participation in the forms of e-consultation, e-deliberation, e-lobbying and e-voting.Originality/valueMainly, this study contributed to the field by providing empirical evidence that COVID-19 increased various forms of e-participation as related to participatory budgeting. Moreover, we delineated various forms of e-participation and mapped them to activities in participatory budgeting.

Effect of internet penetration on ICT export, economy, and employment in Bangladesh: Evidence from vector error correction and local projection

The advent of Industry 4.0 is imminent, with the internet emerging as a pivotal catalyst for this impending revolution as general-purpose technology (GPT). This study examines the transformative impact of internet penetration on economic development and employment dynamics in Bangladesh. Leveraging time series data from 1996 to 2022, and employing Vector Error Correction Model (VECM) and Linear Projections (LP) methodologies, the research reveals significant insights into the relationship between internet penetration, ICT exports, GDP growth, and employment trends. Findings indicate that a 10% increase in internet penetration led to a notable 4.7% rise in ICT exports and a marginal 0.8% increase in GDP, albeit with a concerning 1.1% decline in formal sector employment. While highlighting the positive influence of internet connectivity on trade and economic activities, the study underscores the challenges of job displacement and the need for inclusive and equitable growth strategies in the face of technological big push.

Beyond Competitiveness: Is Productivity Everything?

ABSTRACTThis study examines and compares the predictive power of competitiveness, approximated by the Global Competitiveness Index (GCI), and productivity for economic growth. Using a panel dataset of 62 countries over the period 2007–2019 and the local projections (LP) approach, we find that both higher productivity and higher GCI contribute to higher economic growth over the next 5 years. However, productivity has a stronger predictive power for economic growth than the GCI. We find evidence that this divergence between productivity and GCI could be explained by ‘productivity beyond competitiveness’: As economies develop and converge towards the world technological frontier, the GCI, unlike productivity, no longer captures the key determinants of economic growth. We then examine the determinants of ‘productivity beyond competitiveness’ that can help economies increase their productivity, and by extension growth, even as they approach the technological frontier. We find that higher financial development, institutional quality, as well as some cultural traits explain the divergence between productivity and competitiveness in advanced economies.

Economic growth and food insecurity: evidence via panel estimation

ABSTRACT This study investigates the effect of income changes on the prevalence of undernourishment as a proxy for food insecurity using a balanced panel of 145 economies. Additionally, it examines whether there are heterogeneous effects on undernourishment based on country income strata. Utilizing a panel local projections (LP) model, this study demonstrates that higher-income growth alleviates food insecurity, particularly in lower-income countries. These results underscore the significance of food insecurity within the framework of economic development and offer policymakers vital information on the degree to which economic progress can alleviate it.

Rainwater harvesting technologies in arid plains of Argentina: small local strategies vs. large centralized projects

Access to water has been and remains one of humanity’s greatest challenges. Especially in arid plains exposed to significant climatic fluctuations and future global change trends. In the past and present, local communities of the arid plains of central-western Argentina (i.e., Guanacache Lagoons, Cuyo region) have developed multiple strategies to manage water supply problems. The aims of this study are: i) to characterize the different water harvesting technologies (pre-Hispanic and modern) used, and ii) to compare the small local strategies of water harvesting (bottom-up solutions) with the large centralized projects (top-down solutions). On the one hand, we show the transformations of these technologies over time, and the challenges faced by inhabitants in the context of climate change trends. On the other hand, we analyze the role of the state through hydraulic policies and projects implemented by the provincial states over the last two centuries and how this impacted the study area. This review is based on a historical and archaeological bibliography, and recent publications about the region, including articles based on our ethnographic fieldwork. Our results demonstrate the valuable experience accumulated by local populations in water harvesting methods, particularly in areas where groundwater is deep and saline, and shows the adaptability of these technologies in contexts of increasing scarcity. We considered that local indigenous knowledge can largely contribute to the sustainable management of water resources. This study might be useful for decision-makers and water managers in drylands around the world to find and equitable approach that combines technical advances with local knowledge.

Ensuring coherence between China’s “Belt and Road” initiative and Eurasian Economic Union Project

The article examines the transport development of the intracontinental spaces of Eurasia and their interrelations with the Belt and Road initiative and the activities of the EAEU in infrastructure construction. The emergence of the Initiative is due to several large-scale global economic processes, such as the shift of the center of world production to Asia, China’s leading role in the global economy, its desire to form a different, more equitable model of world economic relations, the growth of geopolitical, transport and economic dynamics of intra-continental events. The central element of the Initiative is China’s willingness to finance local infrastructure projects in which there is a common interest. The integration project is focused on the state sovereignty of the participating countries, the transformation of the EAEU into a dynamically developing region of Eurasia, and the economic attraction for third countries. The EAEU sees the creation of a modern communications infrastructure (the Eurasian transport framework) as the main prerequisite for achieving these objectives. One of the important results of the conjugation of the mega-project and the activities of the EAEU has been a multiple increase in trade and transport communications between China and the EAEU countries. The implemented, ongoing and recommended projects of international transport corridors ensure the permissive effect of intra-continentality and a wider use of the advantages of the Central Eurasia position for the development of the countries of Central Asia, Western China and the Siberian regions of Russia.

Driving a three-age learning curriculum from local wisdom under the “YANGKHINOK Model” in Thailand

This study had the objective of developing a three-age learning curriculum from local wisdom under the YANGKHINOK Model which focuses on time, resources, knowledge, skills, and sincerity to enhance competency and leverage social networks in Khueang Nai District, Ubon Ratchathani Province, Thailand. Due to the dynamics of global society influencing Thai education, integrating local wisdom in curriculum development is essential for preserving cultural heritage and community sustainability. A mixed method of qualitative case studies and quantitative evaluation was employed to assess the efficacy of the local wisdom project. Key findings spotlighted the importance of community participation, educational coordination, and the appropriate development of a curriculum for all age groups by the YANGKHINOK Model (Youth, Adult, Narration, Gathering, Knowledge, Hearkening, Impetus, Network, Older Persons, Keeping). This inclusive approach emphasizes the critical role of collaboration among local communities and educational institutions to ensure that the curriculum remains relevant and adaptable across different generations. The approach also aims to create a contemporary democratic society by promoting continuous learning and sustainable professional development that fosters long-term community resilience. It was concluded that a sustainable community curriculum must include these components to meet the actual needs of the community, as well as being adaptable to social and economic changes. Effective use of limited local resources, strategic planning, and broad participation for practical results lead to lasting sustainability, providing a framework for continuous community improvement.

Airline industry equities under external uncertainty shocks

We gauge the impact of news and other relevant external uncertainties facing airline firms via an equity market lens. Using local projections, we establish that rising investors’ fear shocks have long-lasting negative effects on airline industry equity returns, while increasing geopolitical, climate policy, and fuel cost uncertainties have comparatively short-lived impacts. Our results are robust to several alternative model specifications, including a pre-pandemic subsample. Based on our findings, we provide a promising avenue for future research in airline financial management.

Climate pattern effects on global economic conditions

This study investigates how El Niño–Southern Oscillation (ENSO) climate patterns affect global economic conditions. Prior research suggests that ENSO phases, particularly El Niño, influence economic outcomes, but with limited consensus on their broader macroeconomic impacts. Using a novel monthly dataset from 20 economies, covering 80% of global output from 1999 to 2022, we employ a global augmented vector autoregression with local projections (GAVARLP) model. The empirical findings suggest that El Niño boosts output with minimal inflationary effects, reducing global economic policy uncertainty, while La Niña raises food inflation, which can amplify aggregate inflation as a “second-round” effect, amplifying uncertainty. These findings shed light on the transmission channels of climate shocks and highlight the significant role of ENSO in shaping global economic conditions, emphasizing why climate shocks should be a concern for policy markers.

A local projection stabilised HHO method for the Oseen problem

In this article, we consider a local projection stabilisation for a Hybrid High-Order (HHO) approximation of the Oseen problem. We prove an existence-uniqueness result under a stronger SUPG-like norm. We improve the stability and provide error estimation in stronger norm for convection dominated Oseen problem. We also derive an optimal order error estimate under the SUPG-like norm for equal-order polynomial discretisation of velocity and pressure spaces. Numerical experiments are performed to validate the theoretical results.

Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach

With the rapid transition of Industry 4.0 to 5.0, modern industrial physio-chemical processes are characterized by two critical challenges: process safety and the quality of the final product. Traditional industrial monitoring methods have low reliability in accuracy and robustness, and they are inefficiently providing satisfactory results. This paper introduces a novel integration technique that employs machine learning (ML) to tackle the challenges associated with real industrial monitoring in physical and industrial processes. The proposed framework integrates distributed canonical correlation analysis - R-vine copula (DCCA-RVC), global local preserving projection (GLPP), and 2-Dimensional Deng information entropy (2-DDE). The framework's ability and productivity are assessed utilizing existing approaches such as wavelet-PCA, MRSAE, and DALSTM-AE and the new proposed novel integrated machine learning-based (DCCA-RVC) approach as benchmarks for model performance. The proposed novel approach has been validated by testing it on the ethanol-water system distillation column (DC) and Tennessee Eastman Process (TEP), utilizing it as actual industrial benchmarks. The results demonstrate that the novel integration ML-technique (DCCA-RVC) T22 – GLP monitoring graphs for the fault class type 1 in the distillation column showed a (FAR) of 0 %, a (FDR) of 100 %, a precision of 100 %, F1-score of 100 % and an accuracy of 100 %. However, for the TEP process failure event 13, the (FAR) was 0 %, the (FDR) was 99 %, the accuracy was 100 %, the F1-score was 99.5 %, and the accuracy was 99.5 %.

Using health evidence to influence healthier urban development: a qualitative evaluation of a researcher–practitioner collaboration

ABSTRACT Despite evidence showing health impacts associated with environmental features such as housing, air quality, transport, and greenspaces, urban development decisions often result in less healthy environments. To address research-practice gaps we explore a collaboration involving an embedded researcher who bridged between urban development practitioners and researchers on a UK local government-led regeneration project. This facilitated development and implementation of a new health economic model that demonstrated the health impacts of changes to the built environment. We shared evidence at multiple timepoints to influence decision-making for a regeneration framework. Evaluation of this approach involved analysis of semi-structured interviews with key practitioners, alongside project meeting notes and embedded researcher field notes. We found that the academic-practitioner partnership, enabled by the embedded researcher, helped academics understand a complex system, and provided contextually relevant evidence for practitioners to highlight problems; support good/aspirational solutions; and consider trade-offs. Academic-practitioner collaborations can help develop and implement impactful interventions to tackle important, and complex, health challenges associated with the built environment. Understanding how evidence may be useful for different purposes can help to implement its use more effectively, and translate it for different audiences.

Brexit and the London housing market: An empirical contribution

This study aims to analyse the impact of Brexit on London’s housing market, exploring socio-economic and regional disparities. By examining property transaction data from 2012 to 2022, the research seeks to understand how Brexit has influenced real housing prices across different boroughs of London. The methodology involves aggregating transaction data from the Her Majesty (HM) Price Paid database and normalizing prices using the Consumer Price Index (CPI) to obtain real price variations. These data were segmented into three distinct periods: pre-Brexit (2012–2016), post-plebiscite Brexit (2016–2019), and post-implementation Brexit (2020–2022). Spatial analysis was conducted using the software Quantum Geographic Information System (QGIS), transforming point data (postcodes) into polygonal data (wards) for better visualization and comparison. The findings reveal significant socio-economic impacts, with traditionally affluent areas such as Westminster, Kensington, and Chelsea experiencing notable declines in real housing prices. Conversely, certain outer boroughs like Newham and Barnet showed resilience, with positive real price variations despite decreased sales. This geographical disparity underscores the uneven distribution of Brexit’s economic consequences, highlighting the critical role of localized economic policies and development projects in mitigating adverse effects. The results confirm existing literature on the polarization and regional inequalities exacerbated by Brexit while providing new insights into the complex interplay of local and global factors affecting housing markets. The findings emphasize the need for targeted policy interventions to address the diverse challenges posed by Brexit, ensuring both affluent and disadvantaged areas receive adequate support. This research is crucial for informing public policy, urban planning, and housing market strategies in a post-Brexit context, promoting equitable and sustainable development across London.

Innovation and Demand as Drivers of Labour Productivity: An Integrated Analysis for OECD Countries

ABSTRACT The article seeks to empirically reconcile two strands of research on the determinants of labour productivity growth: on one hand, the Kaldorian literature emphasises the role of autonomous demand; on the other hand, the Schumpeterian literature underscores the role of innovative investments. Specifically, we test two hypotheses. Firstly, we investigate whether demand shocks, private research intensity, and public R&D expenditure influence labour productivity when these variables are considered simultaneously. Secondly, we examine whether private research intensity is affected by demand shocks and public investments in innovation. We make use of a panel of 12 OECD countries spanning the period from 1986 to 2017. We combine the Local Projection approach with structural shocks estimated through Structural Vector Autoregressive modelling. Findings show a positive impact of government R&D investment, demand shocks, and private research intensity on labour productivity. Additionally, when examining the effects of demand shocks and innovative activities by the public sector on research intensity, the results affirm a positive impact of these variables, thus supporting the presence of the Schmooklerian demand-pull hypothesis. These results remain robust across various model specifications and different measures of labour productivity.

Why Target Communities Remain Subjects Rather than Partners of Development Agencies in Integrated Conservation and Development Projects in Latin America

AbstractDespite repeated calls for locally anchored Integrated Conservation and Development Projects (ICDPs), the decision-making authority of targeted Indigenous Peoples and Local Communities (IPLCs) remains limited. This paper is grounded on an Institutional Logics perspective to examine the role of major development agencies—the World Bank (WB), the United States Agency for International Development (USAID), the Inter-American Development Bank (IDB), and the German Development Bank (KfW)—in perpetuating this challenge. Interviews with project managers in the Latin American and Caribbean (LAC) region reveal complex internal hierarchies, risk-focus, high performance pressure, a “better than nothing” rationale, and a hands-off approach to community participation. We argue that these tendencies are rooted in organisational structure and individual mentalities that constitute a project management logic, which in turn raises concerns about the ability and willingness of development agencies to foster local project ownership of ICDPs. The paper calls for the international donor community to reflect on and transform such management logic, and to allocate more substantial decision-making power and resources to local representatives.

Sustainable energy consumption and finance in the presence of risks: Towards a green economy

Moving towards a green economy, sustainable energy consumption and financial development amid mounting risks moved to center stage of policymaking and academia. Strengthening energy consumption from renewable sources is integral to the attainment of the overarching sustainable development goals of the Paris Agreement. The study employs data from 19 OECD economies spanning from 1990 to 2020 to explore the effect of risks on sustainable energy consumption. Using a multifaceted empirical approach -- comprising Panel OLS, MG estimators, quantile regression analysis and local projection approach -- results establish a key role for political, economic and financial risks in determining energy consumption from renewable sources. Results for the impact of finance indicators on sustainable energy consumption provide robust, though mixed, findings on how to bridge the climate financing gap. Our findings underscore the significant positive influence of human capital development, economic growth, economic openness and oil prices on sustainable energy use. It is further shown that decreasing carbon emissions and making sustainable energy more affordable should be on the central agenda of policymaking for promoting environmental sustainability. A multi-lever strategy is needed when making environmental policies while distributional heterogeneity should also be considered.

Robust 3D multi‐material hydrodynamics using discontinuous Galerkin methods

AbstractA high‐order discontinuous Galerkin (DG) method is presented for nonequilibrium multi‐material () flow with sharp interfaces. Material interfaces are reconstructed using the algebraic THINC approach, resulting in a sharp interface resolution. The system assumes stiff velocity relaxation and pressure nonequilibrium. The presented DG method uses Dubiner's orthogonal basis functions on tetrahedral elements. This results in a unique combination of sharp multimaterial interfaces and high‐order accurate solutions in smooth single‐material regions. A novel shock indicator based on the interface conservation condition is introduced to mark regions with discontinuities. Slope limiting techniques are applied only in these regions so that nonphysical oscillations are eliminated while maintaining high‐order accuracy in smooth regions. A local projection is applied on the limited solution to ensure discrete closure law preservation. The effectiveness of this novel limiting strategy is demonstrated for complex three‐dimensional multi‐material problems, where robustness of the method is critical. The presented numerical problems demonstrate that more accurate and efficient multi‐material solutions can be obtained by the DG method, as compared to second‐order finite volume methods.

Walmart Foundation grants available for local community projects

The Walmart Foundation is currently accepting applications for funding under its Spark Good Local Grant program, which it established to support nonprofit organizations operating within the service areas of individual U.S.‐based Walmart stores, Sam's Clubs and logistics facilities. These grants are smaller and more locally focused than the foundation's national programs, which tend to fund a broader range of program areas, and range from $250 up to $5,000 each, the foundation said.

Local mechanism of engagement in rural landscapes in the Nicaragua-Honduras sentinel landscape: examples of a local farmers' organisation and a multi-actor platform

Landscape approaches have been encouraged as a means of addressing the intricate challenges related to natural resource management and the well-being of land users/farmers. The study presents two mechanisms applied to territory development: first, a multi-stakeholder platform to improve governance in a natural reserve area (space/geographical dimension); second, how a local cooperative can become a learning network and address land-use and landscape management issues. The study evaluates the planning tool interventions of a local project, aiming to enhance landscape governance and value-chain collaboration in Nicaragua's biosphere reserve. We interviewed 403 residents and 29 cocoa cooperative members to evaluate their view of the tools/methodologies' effectiveness in natural resource management and cocoa farmers' resilience and well-being, respectively. Factorial analysis showed that the people of "Peñas Blanca" were aware of the multi-stakeholder platform managing the reserve. Generally, they had a positive opinion of the platform and its ability to balance economic and cultural values with conservation. The local cocoa cooperative has faced a financial and organisational crisis in recent years, with only a small number of members using the cooperative to sell their cocoa beans. This is due to decreased productivity and quality of the cocoa beans for some individual farmers, which impacts their ability to commercialise the beans with the cooperative. However, current access to social and cultural capital is supporting the resilience and adaptive capacity of the cocoa farmers in the territory. The studied cases provide evidence of the effectiveness of multi-sectoral and community-led organizations in integrating economic, ecological, and social objectives in a territory supporting landscape governance with sectoral approaches as valuable entry points.