An empirical analysis of district external economies based on a structure-conduct-performance framework

Bellandi, Marco; Ruiz-Fuensanta, María J.

doi:10.1111/j.1435-5957.2009.00272.x

Cited by 4 publications

(2 citation statements)

References 37 publications

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“…Such a complexity does not make it easier for the decision makers implementing unitary policies on an urban-scale to trigger both social and external effects, such as variety and scale economies [45] and economies that are partly external to each urban unit (building or block) but internal to the neighborhood [46], in typical organization and specialization economies [47].…”

Section: The House-city-landscape System From a Green Perspectivementioning

confidence: 99%

Environmental Identities and the Sustainable City. The Green Roof Prospect for the Ecological Transition

et al. 2022

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This research deals with the issue of the recovery of the historic urban fabric with a view towards ecological transition, nowadays considered the preferable direction of sustainability for the reform of the house–city–landscape system. The massive incentives provided by the Italian government for sustainable building, in view of the post-pandemic economic recovery, risk being reduced to mere support for the real estate sector, which turns the financial transfer from the public into an increase in asset value for the private sector. Such an incentive system could contradict the original function of the city, which is to be the privileged place for social communication and the creation of the identity of settled communities. A process of property development that disregards the distribution of income favors the most valuable property, thus increasing the socioeconomic distance between centrality and marginality. The latter is a condition that often characterizes the parts of the historic city affected by extensive phenomena of physical and functional obsolescence of the built heritage, and it is less capable of attracting public funding. The increase of building decay and social filtering-down accelerates the loss and involution of neighborhood identities; the latter constitutes the psycho-social energy that helps preserve the physical, functional and anthropological integrity of the city, due to the differences that make its parts recognizable. This study, with reference to a neighborhood in the historic city of Syracuse (Italy), proposes a model of analysis, evaluation and planning of interventions on the buildings’ roofs, aimed at defining the best strategy for ecological–environmental regeneration. The model presented allows one to generate a multiplicity of alternative strategies that combine different uses of roofs: from the most sustainable green roofs, but that are less cost-effective from the identity and landscape point of view; to the most efficient photovoltaic roofs from the energy–environmental point of view; and up to the most cost-effective ones, the vertical extensions with an increase in building volume. The proposed tool is an inter-scalar multidimensional valuation model that connects the multiple eco-socio-systemic attitudes of individual buildings to the landscape, identity, energy–environmental and economic overall dimensions of the urban fabric and allows one to define and compare multiple alternative recovery hypotheses, evaluating their potential impacts on the built environment. The model allows the formation of 100 different strategies, which are internally coherent and differently satisfy the above four perspectives, and it provides the preferable ones for each of the five approaches practiced. The best strategy characterizes most green roofs, 427 out of 1075 building units, 277 blue roofs, 121 green–blue roofs and 46 grey roofs.

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Section: The House-city-landscape System From a Green Perspectivementioning

confidence: 99%

Environmental Identities and the Sustainable City. The Green Roof Prospect for the Ecological Transition

et al. 2022

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“…De Muro et al (2011) criticize the use of PCA for building composite indicators because weights are based on a 'pure' statistical technique and may not reflect the relevance of single variables in the underlying phenomenon. However, weights from PCA may be less 'subjective' because these are data driven and not assigned by the researcher, in contrast to the case of the 'normative' weights (Bellandi & Ruiz-Fuensanta, 2010).…”

Section: Composite Indicators and Principal Component Analysis For Geographical Datamentioning

confidence: 99%

Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators

Cartone

Postiglione

2020

Spatial Economic Analysis

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This paper investigates the role of spatial dependence, spatial heterogeneity and spatial scale in principal component analysis for geographically distributed data. It considers spatial heterogeneity by adopting geographically weighted principal component analysis at a fine spatial resolution. Moreover, it focuses on dependence by introducing a novel approach based on spatial filtering. These methods are applied in order to derive a composite indicator of socioeconomic deprivation in the Italian province of Rome while considering two spatial scales: municipalities and localities. The results show that considering spatial information uncovers a range of issues, including neighbourhood effects, which are useful in order to improve local policies. KEYWORDS spatial filtering, spatial dependence, geographically weighted principal component analysis (GWPCA), modifiable areal unit problem (MAUP), deprivation index JEL C1, C21, C43 HISTORY

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Quantification and analysis study for the morphological characteristics of urban waterbodies: Evidences from 42 cases in China

Zhang,

Xu,

Cheng

et al. 2024

Ecological Indicators

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An empirical analysis of district external economies based on a structure-conduct-performance framework

Cited by 4 publications

References 37 publications

Environmental Identities and the Sustainable City. The Green Roof Prospect for the Ecological Transition

Environmental Identities and the Sustainable City. The Green Roof Prospect for the Ecological Transition

Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators

Quantification and analysis study for the morphological characteristics of urban waterbodies: Evidences from 42 cases in China

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