scholarly journals MASS APPRAISAL APPLICATION FOR LAND VALUATION USING REGRESSION MODEL: A CASE STUDY IN THE C ZONE OF NAM HOI AN PROJECT, THANG BINH DISTRICT, QUANG NAM PROVINCE, CENTRAL VIETNAM

2020 ◽  
Vol 129 (3C) ◽  
Author(s):  
Tran Thi Phuong ◽  
Ho Viet Hoang ◽  
Nguyen Van Viet ◽  
Nguyen Bich Ngoc ◽  
Huynh Van Chuong
Keyword(s):  
Land Use ◽  
Regression Model ◽  
Financial Management ◽  
Traffic Congestion ◽  
Regression Coefficient ◽  
Market Price ◽  
Unit Price ◽  
Land Unit ◽  
Land Valuation ◽  
Shape Distance

This study focuses on building a regression model in the series of land pricing for frontages and alleys in the C zone of Nam Hoi An project, Thang Binh district, Quang Nam province. The research applied data collection method, data processing method, regression analysis method to build a model of mass land valuation. The results of this study show that the location of the facade in the C zone of ​​Nam Hoi An project is affected by various factors such as security, plot width, plot shape, distance to Hoi An city, traffic congestion, land use type, and road boundary. Meanwhile, the unit price of land in the alley is influenced by factors such as security, alley level, plot shape, distance to Hoi An city, road structure, traffic congestion and alley location. The biggest factor affecting frontage land price is the type of land use with regression coefficient BLAND_USE_TYPE = 14,199. In terms of unit price of alley land, that is the type of alley with regression coefficient BALLEY_LOCATION = 10,772. The results of verification of the accuracy of the land unit price from the regression model to the compensation land unit price have a negligible difference, which is completely consistent with the requirement of determining the price level close to the market price. The results of this study show the practical applicability of mass appraisal for land valuation using a regression model in land acquisition and financial management of land.

PENGARUH KINERJA PENGELOLAAN KEUANGAN DAERAH TERHADAP PERTUMBUHAN EKONOMI, PENGANGGURAN DAN KEMISKINAN DI KOTA DEPOK

2019 ◽  
Vol 2 (2) ◽  
pp. 372
Author(s):  
Suryanta Suryanta
Keyword(s):  
Economic Growth ◽  
Statistical Analysis ◽  
Financial Management ◽  
Regression Coefficient ◽  
Descriptive Analysis ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Quantitative Descriptive Analysis ◽  
Income Gap ◽  
Quantitative Descriptive

This study aims to analyze whether the performance of regional financial management influences economic growth in Depok City, analyzes whether the performance of regional financial management influences unemployment in Depok City, and analyzes whether the performance of regional financial management affects poverty in Depok City with the 2006 study period- 2015 The analysis method used is quantitative descriptive analysis and simple linear regression statistical analysis. Based on the results of hypothesis testing it can be proven that the performance of regional financial management (independence ratio) has a positive and significant effect on economic growth, this can be seen from the value of sig. 0.046 <0.05 with a regression coefficient of 1.883. Then the performance of regional financial management has a negative and significant effect on unemployment, this can be seen from the value of sig. 0.030 <0.05 with a regression coefficient of -6.864. But the performance of regional financial management has no significant effect on poverty, this can be seen from the sig. 0.065> 0.05 with a regression coefficient of -0.512. This can be due to the still high income gap in the community, so that the increasing regional income has not been able to significantly reduce poverty in Depok.

scholarly journals Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan

2021 ◽  
Vol 13 (9) ◽  
pp. 4933
Author(s):  
Saimar Pervez ◽  
Ryuta Maruyama ◽  
Ayesha Riaz ◽  
Satoshi Nakai
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Urban Areas ◽  
Industrial Development ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Land Use Classification ◽  
Land Use Regression ◽  
Air Exposure

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.

Development land valuation accuracy in China – a case study of Beijing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mengmeng Dou ◽  
Lesley Anne Hemphill ◽  
Lay Cheng Lim
Keyword(s):  
Market Price ◽  
Market Dynamics ◽  
Industrial Land ◽  
Content Type ◽  
Industrial Market ◽  
Transaction Prices ◽  
Land Valuation ◽  
Market Transaction ◽  
The Government ◽  
Practical Implications

PurposeThe paper aims to quantitatively investigate vacant industrial land valuation accuracy in China, given the importance of the industrial market as an underlying pillar to promote urban growth especially in emerging economies.Design/methodology/approachIn China, the government formulates a Land Benchmark Price (LBP) to serve as a price reference point to sell land rights. To gain an in-depth understanding of the valuation practice by LBP, this paper uses correlation analysis to investigate the varying dynamics between the transaction-based prices and LBP appraisal-based estimates. Furthermore, a margin of error examination investigates the distortion in LBP land appraisals, with an amended LBP presented to improve the accuracy of the current LBP method.FindingsDifferent influencing factors are identified to impact the actual market transaction prices and the LBP construction, leading to a large discrepancy in industrial land appraisals. A systematic problem is recognised that the construction of the LBP follows urban bid curve theory, whereas the land transaction prices do not, demonstrating that an urgent LBP update is needed to capture the market dynamics for industrial market.Practical implicationsThe paper sets out discrepancies in valuation accuracy surrounding the application of the LBP valuation approach in China. This has practical implications for valuers in terms of raising their awareness of the deficiencies in the approach and the pitfalls they need to guard against in their appraisals. It also has implications for developers and investors who rely on valuer appraisals to assess the viability of land purchases; hence, they need to express caution in the appraisal advice sought. Finally, the results demonstrate to the standard setters how they need to modify the LBP equations to better capture market dynamics.Originality/valueThe paper examines valuation accuracy in transitional economies, through valuation differentials between appraised price and the transacted price. The value of the work lies in the analysis of the fundamental differentials between market price and appraised value, which is of importance to investors/developers, practicing valuers, as well as government officials responsible for setting the valuation standards.

An innovative land use regression model incorporating meteorology for exposure analysis

2008 ◽  
Vol 390 (2-3) ◽  
pp. 520-529 ◽  
Author(s):  
Jason G. Su ◽  
Michael Brauer ◽  
Bruce Ainslie ◽  
Douw Steyn ◽  
Timothy Larson ◽  
...  
Keyword(s):  
Land Use ◽  
Regression Model ◽  
Land Use Regression ◽  
Exposure Analysis

A land use regression model for predicting ambient volatile organic compound concentrations in Toronto, Canada

2010 ◽  
Vol 44 (29) ◽  
pp. 3529-3537 ◽  
Author(s):  
Jason G. Su ◽  
Michael Jerrett ◽  
Bernardo Beckerman ◽  
Dave Verma ◽  
M. Altaf Arain ◽  
...  
Keyword(s):  
Land Use ◽  
Organic Compound ◽  
Regression Model ◽  
Volatile Organic Compound ◽  
Land Use Regression ◽  
Volatile Organic

scholarly journals Estimation of Spatial Variations in Urban Noise Levels with a Land Use Regression Model

2014 ◽  
Vol 3 (4) ◽  
Author(s):  
Sophie Goudreau ◽  
Céline Plante ◽  
Michel Fournier ◽  
Allan Brand ◽  
Yann Roche ◽  
...  
Keyword(s):  
Land Use ◽  
Regression Model ◽  
Spatial Variations ◽  
Noise Levels ◽  
Land Use Regression ◽  
Urban Noise

scholarly journals Assessing the Opportunity Cost of Carbon Stock Caused by Land-Use Changes in Taiwan

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1240
Author(s):  
Ming-Yun Chu ◽  
Wan-Yu Liu
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Carbon Storage ◽  
Carbon Emissions ◽  
Opportunity Cost ◽  
Carbon Stock ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Market Price ◽  
The Government

As compared with conventional approaches for reducing carbon emissions, the strategies of reducing emissions from deforestations and forest degradation (REDD) can greatly reduce costs. Hence, the United Nations Framework Convention on Climate Change regards the REDD strategies as a crucial approach to mitigate climate change. To respond to climate change, Taiwan passed the Greenhouse Gas Reduction and Management Act to control the emissions of greenhouse gases. In 2021, the Taiwan government has announced that it will achieve the carbon neutrality target by 2050. Accordingly, starting with focusing on the carbon sink, the REDD strategies have been considered a recognized and feasible strategy in Taiwan. This study analyzed the net present value and carbon storage for various land-use types to estimate the carbon stock and opportunity cost of land-use changes. When the change of agricultural land to artificial forests generated carbon stock, the opportunity cost of carbon stock was negative. Contrarily, restoring artificial forests (which refer to a kind of forest that is formed through artificial planting, cultivation, and conservation) to agricultural land would generate carbon emissions, but create additional income. Since the opportunity cost of carbon storage needs to be lower than the carbon market price so that landlords have incentives to conduct REDD+, the outcomes of this study can provide a reference for the government to set an appropriate subsidy or price for carbon sinks. It is suggested that the government should offer sufficient incentives to reforest collapsed land, and implement interventions, promote carbon trading policies, or regulate the development of agricultural land so as to maintain artificial broadleaf forests for increased carbon storage.

scholarly journals PENGARUH TATA KELOLA PEMERINTAH DAERAH TERHADAPTRANSPARANSI PENGELOLAAN KEUANGAN DAERAH: BUKTI EMPIRIS PADA PEMERINTAH PROVINSI DI INDONESIA

2017 ◽  
Vol 21 (3) ◽  
pp. 448
Author(s):  
Syamsul Syamsul ◽  
Irwan Taufiq Ritonga
Keyword(s):  
Corporate Governance ◽  
Regression Model ◽  
Financial Management ◽  
Local Governments ◽  
Environmental Governance ◽  
Local Governance ◽  
Government Officials ◽  
Simple Regression Model ◽  
Simple Regression

This study developed a research Beekes and Brown (2006) who found that corporate governance makes companies more informative (more transparent). This study aims to prove whether the same results were also found in environmental governance in Indonesia. The theory is used to achieve the goal of this research is the theory of agency. This research was conducted in 32 local governments in Indonesia. Based on a simple regression model, this study shows that local governance affects positively the transparency of local financial management. Such findings reinforce previous research. The findings of this study provide a useful contribution to government officials (executive and legislative), in demonstrating the important role of local governance in encouraging the transparency of local financial management. In addition, the findings of this study can be used as the basis for further research related to the topic of local governance and transparency of local financial management.

Sign in / Sign up

Export Citation Format

Share Document