Hasil untuk "Real estate business"

Francesca Abastante, Valeria Baglione

Measuring and monitoring territories within the framework of the Circular Economy (CE) is gaining increasing relevance across Europe. As an evolving field involving both academia and business, CE generates growing demand for tools and methodologies capable of assessing its impacts at the territorial scale. Although often treated as an umbrella concept, CE is closely linked to sustainable development and is increasingly translated into strategies, programs, and action plans supported by indicators at enterprise, sectoral, and socio-economic levels. In this context, the 2030 Agenda and the Sustainable Development Goals (SDGs) provide a key reference framework. CE contributes directly to several SDGs, particularly SDG12 (Responsible Consumption and Production), SDG9 (Industry, Innovation, and Infrastructure), SDG 11 (Sustainable Cities and Communities), and SDG13 (Climate Action), highlighting the importance of robust indicators.Despite growing attention, the developmentand application of CE indicators in the secondary agri-food sector remain challenging, particularly in capturing life-cycle complexity and integrating environmental, economic, and social dimensions. While CE assessment has been widely addressed at macro scales, meso-scale studies remain limited, and existing indicators often fail to account for negative effects or performance declines. This research, conducted within the NODES project funded by the Italian Ministry of University and Research (MUR) under the National Recovery and Resilience Plan (PNRR), addresses this gap by developing a tailored set of CE indicators at the meso scale, focusing on the secondary agri-food sector in the Piedmont Region (Italy).

Araya Negash, Girma Birhanu

In Ethiopia, like in other developing countries, land conflicts in urban fringes are usually subject to severe disputes. Different land tenure and administration systems may clash as land use converted from rural to urban status, resulting in disagreements, contestations, and occasional violence. Nevertheless, the specific reasons for peri-urban land conflict are not well understood in developing countries so far because of the political use of regularizing land tenure and the control exercised by a corporatist system of the government. Hence, accordingly, this paper explores the causes and consequences of peri-urban land conflicts in Mekelle City: Enderta district. A case study was used to answer the research question, while questionnaire and document analysis were the main sources of primary and secondary data. According to the research’s findings, overlapping legal and governance frameworks, a variety of property rights claims, local power dynamics, and self-serving individual interests are the main drivers of peri-urban land conflicts. Moreover, lowering tax revenue for the state or municipality, raising expenses, impeding investment, and causing conflict were the consequences of peri-urban land conflicts.

Springis Marcis, Lapuke Sanda, Zvirgzdins Janis

Limited public understanding of zoning changes and property burdens, such as construction restrictions and red lines, poses a significant challenge to effective territorial planning in Latvian municipalities. This lack of transparency often results in reduced civic participation and public trust, ultimately hindering sustainable urban development. To address these issues, the study aims to develop an innovative, interactive, data-driven, and transferable digital framework aimed at enhancing public understanding and participation in territorial planning. A mixed-methods approach is employed, combining document analysis of territorial planning materials with an assessment of public engagement data. A pilot case study in Riga illustrates the framework’s usability and relevance. Results suggest that the proposed framework significantly improves citizens’ understanding of zoning regulations and associated property burdens, encourages earlier participation in planning decisions, and contributes to more equitable urban development. The study recommends broader adoption of the framework across Latvian municipalities to strengthen transparency, safeguard property rights, and align planning outcomes with community needs.

Yuanhang Zheng, Zeshui Xu, Anran Xiao

From the perspective of historical review, the methodology of economics develops from qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of the superiority in learning inherent law and representative level, deep learning models assist in realizing intelligent decision-making in economics. After presenting some statistical results of relevant researches, this paper systematically investigates deep learning in economics, including a survey of frequently-used deep learning models in economics, several applications of deep learning models used in economics. Then, some critical reviews of deep learning in economics are provided, including models and applications, why and how to implement deep learning in economics, research gap and future challenges, respectively. It is obvious that several deep learning models and their variants have been widely applied in different subfields of economics, e.g., financial economics, macroeconomics and monetary economics, agricultural and natural resource economics, industrial organization, urban, rural, regional, real estate and transportation economics, health, education and welfare, business administration and microeconomics, etc. We are very confident that decision-making in economics will be more intelligent with the development of deep learning, because the research of deep learning in economics has become a hot and important topic recently.

Nicholas Fiorentini, Diego Mariotti, Massimo Rovai

Urban regeneration projects offer numerous community benefits, such as improved housing quality and public spaces, but they also carry risks due to uncertainties in key variables for financial analysis, particularly in Discounted Cash Flow Analysis (DCFA). This research presents a practical tool developed in MS Excel that exploits the Monte Carlo method to quantify the risk of loss of value in these projects. Additionally, innovative Risk Curves are introduced to help investors assess the risks based on specified uncertainties in input variables. Focusing on the urban regeneration of the “Mercato del Carmine” in Lucca (Italy), and following EU project evaluation guidelines, a sensitivity analysis identified critical input variables. The financial sustainability of the project was then assessed using indicators such as Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Productivity Index (PI). The DCFA confirmed the economic viability of the project. Monte Carlo simulations revealed key variables contributing to a significant risk of value loss, with results showing S-shaped Risk Curves. These curves indicate an acceptable tolerance for variations up to 10 percent in inputs related to initial investments, operating costs, and revenues, but show increasing risks with higher variations. This study highlights the value of Monte Carlo simulations in understanding the impact of uncertainty on regeneration project outcomes. The Excel-based tool provides decision-makers with a practical and user-friendly solution for making more informed choices regarding investment risks in urban regeneration projects.

Kuo-Cheng Kuo, Wen-Min Lu, Ching-Hsiang Cheng

During the 2008 financial crisis, central banks (such as the Fed) adopted a quantitative easing (QE) policy to stimulate their countries’ economies and overcome severe economic and financial recessions. However, apart from stimulating the economy by issuing a substantial amount of currency to purchase long-term bonds and suppress interest rates, QE policy also contributed to a boom in the real estate and construction sectors. Therefore, this study employs data envelopment analysis to measure the business performance (BP) of construction companies, and explore the impact of QE policy on the BP of construction companies, between 2004 and 2015, using hierarchical regression. We also examine the moderating role of the debt ratio on the relationship. Focused on publicly listed construction companies in Taiwan, this research reveals three encouraging findings. Firstly, QE policy indeed enhanced the BP of Taiwanese construction companies. Secondly, performance improvements in construction companies due to QE policy show a time-diminishing trend, suggesting the importance of seizing the initial policy benefits of QE implementation. Lastly, construction companies with appropriate financial leverage may exhibit better BP. These findings can provide valuable insights for relevant government entities and decision-makers in the industry for policy and investment decisions.

Jing Chaoliang, Arcuri Graig

Community governance quality is of interest to entire human beings across the globe, as communities are the very environment they are living in, hence deciding on people’s life quality. However, the approaches to an inhabitable community vary and the specific governance patterns of community often differ from country to country. Some communities exhibit strong favor for spontaneous order while other communities obviously result from certain deliberate plan. The list of cross-community difference can go on. No matter what kind of pattern a community has chosen willy-nilly, it is noticeable that the realistic governance pattern for a community to embrace is determined by many factors, such as residents’ mores, external institutions and historical tradition among others. To demonstrate the hypothesis, this paper employs a comparative case study of community governance respectively in USA and China (i.e., the city of Oswego, NY, USA and a few urban communities in China). First, a literature review is given on the significant approaches in China to improving community governance. Then, encouraged by the paradigm of social physics (that is a mindset about borrowing scientific principles to handle social problems), the authors choose fractal theory (especially the relevant concept of self-similarity) as an analysis framework to arrive at the conclusion that specific community governance pattern is usually not freely chosen but determined by the fundamental variables which the community happens to be embedded in. The method of analysis and its subsequent implications are expected to turn out useful in understanding and further bettering the community governance effect in future.

Cheng Li, Ying Zhang

Elena Petrovna Gorbaneva, Andrey Valerievich Mishchenko

В данной работе предметом исследования являются информационные модели календарных планов стройпроизводства, реализуемых в условиях интенсивных стохастических воздействий. Цель исследования состоит в оптимизации методов формирования догоняющих графиков на основе BIM-технологий мониторинга хода реализации проекта. В результате проведенной работы определен набор параметров, описывающих динамику реализации календарных планов и учитывающих связи экономических и технологических процессов. Определены индексы, позволяющие оптимизировать как оперативные, так и стратегические управленческие решения. Сформулирован алгоритм определения интервалов времени, в течение которых возможен ресурсный маневр. Найдены динамические индексы, адекватно описывающие применение уникальных и дорогостоящих ресурсов, для которых возможности априорного резервирования ограничены. Определены источники информации, позволяющие в рамках стандартных бизнес-процессов описать как статическую информацию, основанную на календарном плане, так и динамическую часть, отражающую результаты мониторинга. Определены размерности, ранги и форматы элементов матриц, определяющих информационную модель строительства, и иерархические связи между ними. Получены как замкнутые выражения динамических индексов через матрицы BIM, так и рекурсивные процедуры, отражающие механизм накопления информации в процессе мониторинга. Предложенные в работе алгоритмы накопления информации реализованы в оболочке реляционной системы управления базами данных, а расчетов их и графической интерпретации — в математическом пакете высокого уровня. Действие алгоритмов и их программной реализации продемонстрировано на конкретном примере реализации календарного плана стройпроизводства.

Maged Rfeqallah, Rozilah Kasim, Faisal A.M Ali et al.

In the academic context, social networking sites (SNSs) have reshaped the way university students connect and communicate with each other, and the way they learn, thus influencing their identities and dimensions. This paper aims to investigate the impacts of SNSs use by students on their academic performance at the University of Taiz. A survey questionnaire was conducted to a total sample of 357 undergraduate students via personal administration and by an online platform to gather the initial information on their use of SNSs and the influence on their academic performance. The hypotheses of this study were studied and tested using descriptive statistics, regression model, T-test, and analysis of variance (ANOVA). The findings of H1 indicate that the impact of the use of SNSs on students’ academic performance was statistically significant Interaction with the teacher (II) Collaboration with coworkers (CC) Engagement (EN) and learning a cooperating (LC). Meanwhile, the results of H2 indicate no significant differences between the mean averages of the respondents’ answers for (purposes, the impact of the use of SNSs, and academic performance) due to gender, and age, respectively. Thus, using SNS as a learning tool has a great potential to improve students’ academic performance because it allows students to be more connected. Overall findings of this study indicate that the use of SNSs impact undergraduate students by factors are studied on academic Performance to some extent and suggested future strategies to enhance students’ awareness to manage their time, multitasking skills, and study activities to enhance their academic performance and achievements.

Ahmad Adel Abu-Shareha

This paper developed a multi-criteria decision-making approach using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to benchmark the regression alternatives. Regression is used in diverse fields to predict consumer behavior, analyze business profitability, assess risk, analyze automobile engine performance, predict biological system behavior, and analyze weather data. Each of these applications has its own set of concerns, resulting in various metrics utilizations or those of similar measures but with diverse preferences. Multi-criteria decision-making analyzes, compares, and ranks a set of alternatives utilizing mathematical and logical processes with a complicated and contradictory set of criteria. The developed approach established the weights, which were the core of the evaluation process, to various values to mimic and address the regression’s utilization in multiple applications with different concerns and using distinct datasets. The alternative judgment identified positive and negative ideal alternatives in the alternative space. The compared regression alternatives were scored and ranked based on their distance from these alternatives. The results showed that different preferences led to varying algorithm rankings, but top-ranked algorithms were distinguished using a specific dataset. Following that, using three datasets, namely Combined Cycle Power Plant, Real Estate, and Concrete, Voting using multiple classifiers (k-means-based classifiers) was the top-ranked in the Combined Cycle Power Plant and Real Estate datasets. In contrast, Decision Stump was the top-ranked in the Concrete dataset.

Pupentsova Svetlana, Alekseeva Natalia, Antoshkova Natalia et al.

The relevance of the chosen topic is confirmed by the increased competition among the participants of the commercial real estate market, which is connected with the market saturation. The study aims to assess the impact of modern digital technologies on the performance of a shopping and entertainment center. Research was conducted using the example of a retail and entertainment center in Saint-Petersburg. The work proposes a “smart” approach to management, where additional investments are taken into account when the digital infrastructure is being created. The research shows that the transition from a traditional business management to a “smart” variant of property object‘s development, based on the active use of digital technologies, leads to a significant increase in its capitalization, traffic, average bill and occupancy by tenants. The novelty of the following work is to justify the economic efficiency of the application of digital technologies‘ in retail based on the calculation of the retail and entertainment center‘s capitalization value change under the influence of the implementation of automated accounting. The presented research can be used to develop a methodology for assessing the impact of the introduction of digital technologies on the efficiency of shopping and entertainment facilities.

Milica Torbica

“Silence of the administration” represents the tool for the regular legal protection of the parties within the administrative procedure, whether the subject is the procedure being initiated by the parties who have a personal interest or due to the ex officio procedure. In both cases, either due to a long lasting procedure or to an untimely decision which is being rendered in relation to the terms envisaged by law from the side of the administration, significant damage is being endured. Moreover, in both cases, the inactivity of the administrative authorities has numerous aftereffects. The Real Estate Registry and Cable Duct Cadaster represent a Public Book which has data on immovable properties and rights regarding the very same necessary for rendering numerous other rights before the other state authorities and judiciary. Data referring to the Real Estate Registry and Cable Duct Cadaster represent the initial base while rendering the rights before the business banks and within the economic field, in general. Thus, cadaster data should be updated regularly, which presupposes both active and timely registration of documents in the Cadaster, whether based on the submitted documents for the purpose of the registration within the Cadaster, the very same documents to be adopted or a negative administrative act to be rendered. However, in practice, one can often encounter that this legal protection instrument of the parties cannot be applied, bearing in mind that non-acting in the administrative procedure which is being held before the Real Estate Registry and Cable Duct Cadaster has not always been caused by a non-compliance with the terms by the side of this administrative authority. Namely, the administrative procedure being held before the Real Estate Registry has its specific characteristics due to which this very Institute of the Administrative Law deserves a greater attention. The existence of the priority norm, i.e. the obligation of acting upon the requests of the order of their reception in the Real Estate Registry and Cable duct Cadaster, leads to the other point of view regarding the acting of the administrative authorities and decision rendering based either on the requests of the parties or based on ex officio within the terms envisaged by the Law.

Tomal Mateusz

The aim of this study is to assess whether significant spillovers exist among house price convergence clubs in the Polish housing market. This paper is a continuation of my previous research on house price convergence in Poland. In order to achieve the defined goal, VAR modelling was used. Based on the results of the VAR model, impulse response functions (IRFs) and the Spillover Index were calculated. The obtained results indicate that spillovers in the Polish housing market are strong. The relationships are observed both inside the primary and secondary markets and between them. In particular, a very powerful influence is exerted from a club of cities from the primary market, consisting of Cracow, Warsaw, Gdańsk, Poznań, Rzeszów and Wrocław, on the remaining identified house price convergence clubs.

Ronni Basana Sautma, Tandarto Tiffany, Soehono Christina

This research is to recognize the factors supporting the property and real estate company in determining the capital structure composition. The population of this research is all the property and real estate company listed on the Indonesia Stock Exchange 2013 to 2018. There are 48 companies listed until 2019. The data analysis employs a stratum test. The results of this research are the company’s performance, profitability influencing the capital structure, growth that does not influence the capital structure, nondebt tax shield influencing capital structure, and liquidity does not influence capital structure. In the company’s risk, the collateral value of assets influences capital structure; on the other hand, the business risk does not influence the capital structure. In the company’s characteristics, company size does not influence the capital structure.

Yulia Anatolievna Milkina, Ekaterina Evgenievna Makarova

This article is devoted to specific problems in the field of crisis management of organizations on digitalization-the introduction of digital technologies in the management of real estate as the main production resource. The maintenance of real estate objects requires certain fixed and variable costs (at the same time, regardless of the intensity of use, fixed costs are present in an unchanged form). In this regard, their profitability should be sufficient to ensure positive financial results of economic activities of the organization. Otherwise, a loss is generated from the use of such objects. Objective: Find the best ways to solve the problems associated with the organization’s recovery from the crisis in the field of real estate management based on the introduction of modern digital technologies in economic activities. Justification of the need to re-evaluate the traditional financial and economic paradigm-the model of real estate management in the hotel business. Method or methodology of the work: Analytical and statistical methods of analysis were used in the process of studying the problem. Results: In the global environment, the traditional architecture of crisis management in the hotel business requires a natural transformation. In this regard, the proposed methods (methods) to optimize the management of the property of the organization through the introduction of digital technology, as a modern-conceptual framework of exit from the state of loss of its economic activity to the state of loss of its business. Practical implications: The obtained research results can be used and expediently applied by economic entities engaged in business activities in the field of providing (rendering) services in the field of hotel business to economic entities conducting economic activities based on the introduction of digital technologies. Practice shows that the digital technologies available today can radically change the characteristics of the operation of real estate objects. The introduction of advanced technologies in the financial and economic activities of organizations, in terms of the management of real estate, will allow you to overcome the crisis in a timely and successful manner – to increase the efficiency of their use.

T. Piskorski, Amit Seru, James B. Witkin

Atul Rai, Craig Sisneros

An upper-level intermediate accounting course taught at two large mid-west universities in the United States provides a natural experimental setting to examine whether teaching debits/credits in the introductory financial accounting course matters. Students in the upper-level course fall into two groups: those who learned debits/credits in the introductory course and those who weren’t. The performance of both groups is evaluated during the semester while they take the upper level accounting course. Regression results show that the prior knowledge of debits/credits offers only a mild advantage in the first mid-term exam, but not thereafter. Results also indicate that grade point average (standardized tests like ACT scores) are a good (not a good) predictor of the performance in the upper-level accounting class. These results suggest that teaching debits and credits in the introductory accounting course does not provide any advantage in learning the material of upper-level accounting course.

Michaletz Vladimir B., Artemenkov Andrey

The transactional assets pricing approach within valuation theory (TAPA) reviewed in this paper and developed by the authors, now more than a decade ago (MICHALETZ, ARTEMENKOV A. & ARTEMENKOV L., (2007), has found many applications in professional valuation practices dealing with illiquid assets (Leyfer 2006; Andrews 2011)). Consequently, challenges have arisen to ascertain its performance and develop tools, on its basis, which can be employed by valuers in their everyday practice and which are aligned as much as possible with the income approach tools used by them in their professional work. This paper proposes modifications to the standard direct income capitalization technique to align it as closely as possible with the results derivable under the applications of the TAPA basic pricing formula. The authors develop the respective adjustments using the Taylor series expansion and then, using a simulation technique, outline the performance of the resulting modified (“quick”) income capitalization model against the TAPA benchmark. The findings indicate that such a modified (“quick”) income capitalization approach has reasonable accuracy, which makes it amenable to direct usage in valuation practice, given the described assumptions.

Pawlikowska Elżbieta, Popek Paulina, Bieda Agnieszka et al.

For the management of agricultural real properties to be effective, it is required that information about the natural conditions and the existing infrastructure supporting agricultural production, as well as knowledge of the regional traditions, be provided. The management itself should also be based on sound legislation. Due to the fact that agricultural real properties are subject to special legal protection, this article aimed to analyze and assess the methods of managing agricultural real property in the new EU member states on the example of Poland and Bulgaria. This objective was implemented by presenting the structure of agricultural land and the state of agriculture, describing the agrarian reforms, determining the current role of spatial planning and the binding regulations in the management of agricultural land resources, as well as a description of the current surveying procedures. Basing on the outlined comparative characteristics, SWOT/TOWS analysis was performed. The result of this comparative study is the highlighting of the problems and recommendations for the management of agricultural properties in Poland and Bulgaria.