Mass appraisal of farmland using classical econometrics and spatial modeling

Uberti, Marlene Salete; Antunes, Mauro Antônio Homem; Debiasi, Paula; Tassinari, Wagner de Souza

doi:10.1016/j.landusepol.2017.12.044

Cited by 16 publications

(17 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ketiga metode yang ada dapat digunakan sesuai dengan kebutuhan yang ada. Analisis regresi ekonometrik (econometric regression analysis) adalah metode yang menggunakan histori energi tahunan dan data ekonomi untuk menentukan elastisitas pelanggan [11] digunakan untuk menentukan realisasi belanja [12], analisis kuantitas uang beredar [13], perencanaan wilayah [14] dan permodelan Produk Domestik Regional Bruto (PDRB) [15]. Elastisitas adalah ukuran bagaimana pelanggan akan mengubah pola pembelian dalam menanggapi perubahan harga, kenyamanan, keandalan, serta faktor lainnya.…”

Section: Metode Dan Model Pengolahan Dataunclassified

Prakiraan Kebutuhan Energi Listrik Kota Parapat Tahun 2018 Sampai Dengan 2022 Sebagai Kawasan Strategis Nasional Danau Toba

Pakpahan¹,

Pinem²

2021

eltikom

View full text Add to dashboard Cite

Sejak Pemerintah memberlakukan Danau Toba sebagai Kawasan Strategis Nasional (KSN), pen-ingkatan kebutuhan listrik yang berasal dari rumah tangga, komersil, publik dan industri harus diselaraskan dengan ketersediaan listrik yang mencukupi. Kekurangan dari ketersediaan listrik akan men-jadi kendala ataupun merugikan masyarakat sekitar Danau Toba baikpun dari Pemerintahan itu sendiri. Prakiraan Kebutuhan Listrik Kabupaten Simalungun yang efisien untuk tahun 2018 - 2022 merupakan tujuan dari penelitian ini. Berdasarkan data PT. PLN (Persero) wilayah Sumatera Utara, area Kota Parapat Kabupaten Simalungun, total konsumsi energi listrik tahun 2017 telah mencapai 22.311.374 kWh. Kabu-paten Simalungun memiliki banyak potensi dari berbagai sektor, terutama pariwisatanya, terutama ada kawasan Danau Toba. Dari data diatas menuntut para pengembang usaha dan pemerintah untuk menjaga kontinuitas pasokan energi listrik. Permasalahan tentang listrik akan timbul bila terjadi ketidakseimbangan antara energi listrik yang dihasilkan dengan yang diminta oleh pelanggan. Dengan menggunakan metode ekonometrik yang memperhitungkan pengaruh Produk Domestik Regional Bruto (PDRB), kapasitas mam-pu, rasio elektrifikasi, dapat diketahui jumlah konsumsi energi listrik pada tahun yang akan datang. Ber-dasarkan hasil perhitungan peramalan beban listrik pada tahun 2022, jumlah konsumsi energi listrik telah mencapai 46.149.759,6069 KWh yang meningkat sekitar 106, 84 % dari tahun 2017 yang berasal dariem-pat jenis pelanggan, yaitu rumah tangga, komersil, publik dan industri.

show abstract

Section: Metode Dan Model Pengolahan Dataunclassified

Prakiraan Kebutuhan Energi Listrik Kota Parapat Tahun 2018 Sampai Dengan 2022 Sebagai Kawasan Strategis Nasional Danau Toba

Pakpahan¹,

Pinem²

2021

eltikom

View full text Add to dashboard Cite

show abstract

“…A study by Demetriou, D. showed that both linear and nonlinear regression models are valuable tools that can be used to analyze the dependence of land prices on price factors [19]. Combining classical linear regression models with spatial regression models and using geostatistical methods were found to be adequate for developing a plan of values for rural properties of the North Fluminense Region (RJ, Brazil) [20]. Comparing linear regression results with geographically weighted regression (GWR) results obtained for Thessaloniki (Cyprus) showed that the GWR method has a much higher coefficient of determination, which means that the created model fits much better in the data [21].…”

Section: An Overview Of Work On Mass Land Valuation and The Influencmentioning

confidence: 99%

Cadastral Land Value Modelling Based on Zoning by Prestige: A Case Study of a Resort Town

2020

View full text Add to dashboard Cite

The article discusses cadastral land valuation in Russian resort towns, a procedure flawed by the fact that it does not take into account territorial prestige. Researchers in Russia and other countries state that it is essential to redistribute the land tax burden as the current situation creates tax injustice, which is reflected in the undervaluation of prestigious areas and the overvaluation of non-prestigious ones in resort towns. Competition for the most prestigious areas in such towns mainly stems from the opportunity for landowners to earn higher rental incomes during the high season. In view of this, the study aims to provide a method for cadastral land valuation in resort towns based on zoning by prestige. The application of the proposed method is demonstrated using the town of Anapa (a Russian resort town by the Black Sea) as a case study. The method is based on several research and analysis methods, including the following: the analytical method, which is used for a preliminary analysis of urban areas to identify the most attractive parts of resort towns; a modification of Saaty’s methodology combined with Pareto analysis, which is used to identify criteria for assessing how prestigious and important a part of the town is; cluster analysis, which is used for ranking areas in resort towns; correlation and regression analysis, which is used for land valuation modelling. The article describes the key criteria for ranking areas in resort towns by prestige, gives a definition of prestige applied to resort town districts, and proposes an equation for calculating the integral indicator of prestige and a method for assessing prestige. The validity of the prestige map that was created for the town of Anapa was proved by analyzing the average market prices for land plots located within the identified zones. The cadastral land valuation models describing land plots in Anapa that are intended for private housing construction can be correctly interpreted and are of acceptable quality.

show abstract

“…Uberti at al. (2018) use this model for farmland mass appraisal in Brazil's real estate market [96].…”

Section: Spatial Error Model and Spatial Lag Modelmentioning

confidence: 99%

Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review

Wang

2019

Sustainability

View full text Add to dashboard Cite

With the increasing volume and active transaction of real estate properties, mass appraisal has been widely adopted in many countries for different purposes, including assessment of property tax. In this paper, 104 papers are selected for the systematic literature review of mass appraisal models and methods from 2000 to 2018. The review focuses on the application trend and classification of mass appraisal and highlights a 3I-trend, namely AI-Based model, GIS-Based model and MIX-Based model. The characteristics of different mass appraisal models are analyzed and compared. Finally, the future trend of mass appraisal based on model perspective is defined as “mass appraisal 2.0”: mass appraisal is the appraisal procedure of model establishment, analysis and test of group of properties as of a given date, combined with artificial intelligence, geo-information systems, and mixed methods, to better model the real estate value of non-spatial and spatial data.

show abstract

Mass appraisal of farmland using classical econometrics and spatial modeling

Cited by 16 publications

References 3 publications

Prakiraan Kebutuhan Energi Listrik Kota Parapat Tahun 2018 Sampai Dengan 2022 Sebagai Kawasan Strategis Nasional Danau Toba

Prakiraan Kebutuhan Energi Listrik Kota Parapat Tahun 2018 Sampai Dengan 2022 Sebagai Kawasan Strategis Nasional Danau Toba

Cadastral Land Value Modelling Based on Zoning by Prestige: A Case Study of a Resort Town

Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review

Contact Info

Product

Resources

About