scholarly journals An Econometric Model for the Analysis of the Influence of the Refurbishment Costs on Housing Prices

2022 ◽  
Vol 19 ◽  
pp. 414-420
Author(s):  
P. Morano ◽  
F. Tajani ◽  
F. Di Liddo ◽  
M. Locurcio ◽  
D. Anelli
Keyword(s):  
Unit Cost ◽  
Housing Prices ◽  
Central Italy ◽  
Explanatory Variables ◽  
Functional Relationships ◽  
Residential Units ◽  
Italian Context ◽  
Econometric Technique ◽  
Italian Territory

With reference to the Italian context, the present research intends to analyze the functional relationships between the unit cost of restructuring and the selling prices in the residential segment. The analysis has been contextualized to the three clusters (Northern Italy, Central Italy, Southern Italy and Islands) in which the Italian territory is commonly divided. The case study concerns 965 residential units sold in the first half of 2019 and located in the 103 provincial capitals. The implemented econometric technique is a data-driven method that employs a genetic algorithm and allows the identification of the most influencing factors among the explanatory variables considered. For each cluster, a model has been selected in order to study the influence of unit cost of restructuring on housing prices.

IMF Stabilization Programs, Policy Conduct and Macroeconomic Outcomes: A Case Study of Pakistan

2006 ◽  
Vol 11 (1) ◽  
pp. 35-62
Author(s):  
Nawaz A. Hakro ◽  
Wadho Waqar Ahmed
Keyword(s):  
Current Account ◽  
Inflation Rate ◽  
Current Account Balance ◽  
Macroeconomic Policies ◽  
Explanatory Variables ◽  
Fiscal Balance ◽  
Macroeconomic Impacts ◽  
The Individual ◽  
The Imf

This study is designed to assess the macroeconomic performance of fund-supported programs, and the sequencing and ordering of macroeconomic policies in the context of the Pakistan economy. The generalized evaluation estimator technique has been used to assess the macroeconomic impacts of the IMF supported programs. GDP growth, inflation rate, current account balance, fiscal balance and unemployment are used as the target variables in order to gauge economic performance during the program years. The vector of policy variables (that might have been adopted in the absence of programs) and the vector of foreign exogenous variables are also taken as explanatory variables in the model, so that the individual effect of the IMF supported programs could be assessed. The result suggests that as the IMF prescriptions were applied, the current account balance has worsened, the unemployment rate has significantly increased, and the inflation rate has increased during the years of fund-supported programs. Only the budget balance has shown signs of improvement. Furthermore an inadequate sequencing of reforms has contributed to the further worsening of the economic scenario during the program period.

scholarly journals A case study on farmed European seabass and gilthead seabream in central Italy: The negligible parasitological risk of nematode larvae paves the way for the freezing derogation

Food Control ◽  
2021 ◽  
Vol 125 ◽  
pp. 107964
Author(s):  
Daniele Castiglione ◽  
Lisa Guardone ◽  
Francesca Susini ◽  
Federica Alimonti ◽  
Valeria Paternoster ◽  
...  
Keyword(s):  
Central Italy ◽  
Gilthead Seabream ◽  
Nematode Larvae ◽  
European Seabass ◽  
The Way

Value Co-Creation Practices in the Decommissioning of Offshore Platforms: A Case Study Approach

2021 ◽  
pp. 239496432110320
Author(s):  
Francesca Loia ◽  
Vincenzo Basile ◽  
Nancy Capobianco ◽  
Roberto Vona
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Future Research ◽  
Offshore Platforms ◽  
Gas Industry ◽  
Study Approach ◽  
Collaborative Interactions ◽  
Exploratory Approach ◽  
Italian Context

Over the years, value co-creation practices have become increasingly more important by supporting collaborative interactions and the achievement of sustainable and mutual competitive advantage between the ecosystem’ actors. In this direction, the oil and gas industry is proposing a sustainable re-use of offshore platforms based on value co-creation and resources exchange between the actors involved. According to this consideration, this work aims at re-reading the decommissioning of offshore platforms in the light of value co-creation practices, trying to capture the factors that governments and companies can leverage to pursue a sustainable development of local communities. To reach this goal, this work follows an exploratory approach by using, in particular, the case study. Specifically, one of the most notably projects in the Italian context have been chosen, the Paguro platform, in order to provide empirical insights into the nature of these value co-creation processes. Five value co-creation practices have been identified which highlight the importance of synergistic efforts of institutions, companies and technology-based platforms for improving the ability to co-create and capture value in the process of decommissioning. This exploratory work establishes a foundation for future research, and offers theoretical and managerial guidance in this increasingly important area.

Reliability-based covariate analysis for complex systems in heterogeneous environment: Case study of mining equipment

2018 ◽  
Vol 233 (4) ◽  
pp. 593-604
Author(s):  
Amin Moniri-Morad ◽  
Mohammad Pourgol-Mohammad ◽  
Hamid Aghababaei ◽  
Javad Sattarvand
Keyword(s):  
Complex Systems ◽  
Cox Regression ◽  
Reliability Evaluation ◽  
Distribution Functions ◽  
Heterogeneous Environment ◽  
Mining Equipment ◽  
Data Set ◽  
Explanatory Variables ◽  
The Impact

Operational heterogeneity and harsh environment lead to major variations in production system performance and safety. Traditional probabilistic model is dealt with time-to-event data analysis, which does not have the capability of quantifying and simulation of these types of complexities. This research proposes an integrated methodology for analyzing the impact of dominant explanatory variables on the complex system reliability. A flexible parametric proportional hazards model is developed by focusing on standard parametric Cox regression model for reliability evaluation in complex systems. To achieve this, natural cubic splines are utilized to create a smooth and flexible baseline hazards function where the standard parametric distribution functions do not fit into the failure data set. A real case study is considered to evaluate the reliability for multi-component mechanical systems such as mining equipment. Different operational and environmental explanatory variables are chosen for the analysis process. Research findings revealed that precise estimation of the baseline hazards function is a major part of the reliability evaluation in heterogeneous environment. It is concluded that an appropriate maintenance strategy potentially mitigate the equipment failure intensity.

Seismic Performance Assessment of Existing Steel Buildings: A Case Study

2018 ◽  
Vol 763 ◽  
pp. 1067-1076 ◽  
Author(s):  
Luigi di Sarno ◽  
Fabrizio Paolacci ◽  
Anastasios G. Sextos
Keyword(s):  
Numerical Study ◽  
Central Italy ◽  
Steel Structures ◽  
Eurocode 8 ◽  
Building Structures ◽  
Steel Buildings ◽  
Seismic Performance Assessment ◽  
Masonry Infills ◽  
Main Shocks

Numerous existing steel framed buildings located in earthquake prone regions world-wide were designed without seismic provisions. Slender beam-columns, as well as non-ductile beam-to-column connections have been employed for multi-storey moment-resisting frames (MRFs) built before the 80’s. Thus, widespread damage due to brittle failure has been commonly observed in the past earthquakes for steel MRFs. A recent post-earthquake survey carried out in the aftermath of the 2016-2017 Central Italy seismic swarm has pointed out that steel structures may survive the shaking caused by several main-shocks and strong aftershocks without collapsing. Inevitably, significant lateral deformations are experienced, and, in turn, non-structural components are severely damaged thus inhibiting the use of the steel building structures. The present papers illustrates the outcomes of a recent preliminary numerical study carried out for the case of a steel MRF building located in Amatrice, Central Italy, which experienced a series of ground motion excitations suffering significant damage to the masonry infills without collapsing. A refined numerical model of the sample structure has been developed on the basis of the data collected on site. Given the lack of design drawings, the structure has been re-designed in compliance with the Italian regulations imposed at the time of construction employing the allowable stress method. The earthquake performance of the case study MRF has been then investigated through advanced nonlinear dynamic analyses and its structural performance has been evaluated according to Eurocode 8-Part 3 for existing buildings. The reliability of the codified approaches has been evaluated and possible improvements emphasized.

Reliable Soil Property Maps over Large Areas: A Case Study in Central Italy

2016 ◽  
Vol 22 (1) ◽  
pp. 37-52 ◽  
Author(s):  
GIULIA FANELLI ◽  
DIANA SALCIARINI ◽  
CLAUDIO TAMAGNINI
Keyword(s):  
Soil Property ◽  
Central Italy

scholarly journals Assessing soil-structure interaction during the 2016 Central Italy seismic sequence (Italy): preliminary results

2016 ◽  
Vol 59 ◽  
Author(s):  
Arrigo Caserta ◽  
Fawzi Doumaz ◽  
Antonio Costanzo ◽  
Anna Gervasi ◽  
William Thorossian ◽  
...  
Keyword(s):  
Soil Structure ◽  
Central Italy ◽  
Seismic Energy ◽  
Soil Structure Interaction ◽  
Seismic Sequence ◽  
Structure Interaction ◽  
Preliminary Results ◽  
The Church ◽  
Moderate Magnitude

<p><em>We used the moderate-magnitude aftershocks succeeding to the 2016 August 24<sup>th</sup>, Mw = 6.0, Amatrice (Italy) mainshok to asses, specially during an ongoing seismic sequence, the soil-structure interaction where cultural Heritage is involved. We have chosen as case study the</em><em> San Giovanni Battista</em><em> church (A.D. 1039)  in Acquasanta Terme town, about 20 Km northeast of Amatrice. First of all we studied the soil shaking features in order to characterize the input to the monument. Then, using the recordings in the church, we tried to figure out  how the input seismic energy is distributed over the different monument parts. Some preliminary results are shown and discussed.</em></p><p><em><br /></em></p>

scholarly journals Artificial Intelligence (AI) techniques to analyze the determinants attributes in housing prices

2016 ◽  
Vol 19 (58) ◽  
pp. 23 ◽  
Author(s):  
Julia M. Núñez Tabale ◽  
Francisco J. Rey Carmona ◽  
José Mª Caridad y Ocerin
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Explanatory Variable ◽  
Housing Prices ◽  
Good Alternative ◽  
Marginal Prices ◽  
Using Data ◽  
Econometric Approach ◽  
Hedonic Approach

The econometric approach to obtain the value of a property began with hedonic modelling, which were based on a set of property attributes, internal or external, associated to each particular dwelling. The final sale value can be estimated, and also the marginal prices of each exogenous explanatory variable. A good alternative to the hedonic approach is based on several Artificial Intelligence (AI) techniques, such as artificial neural networks (ANN), these tend to be more precise. Both methodologies are compared, and a case study is developed using data from Seville, the larger town in the South of Spain.

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