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1
Tran, Duc Trong. "Assigning of land location and land price to land parcel using ArcGIS engine." Journal of Mining and Earth Sciences 62, no. 1 (February 28, 2021): 27–34. http://dx.doi.org/10.46326/jmes.2021.62(1).04.
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Assigning a state price to each land parcel is a frequent and yet important task in the state management of land parcels. Land price is issued for each street. For each street, land price is divided according to level of location 1, 2, 3 and 4. Parcel is assigned to which location level depending on its walking distance to nearest street, and passed minimum alley’s width, etc. The task of valuing land parcels is cumbersome because the number of land parcels to be priced is huge. To alleviate this burden for government staff, a step by step processing model is developed to automatically determine the location level of a particular parcel. Using ArcGIS Engine library and VB.NET programming language, the steps in the proposed model are built into functions in a specialized module for land valuation. Experiment in assigning location level and land prices of Tam Hiep ward, Bien Hoa city, Dong Nai province shows that 91,73% of parcels are assigned the same location level as the location on the issued land location map. The experiment demonstrates the effectiveness and correctness of the proposed model in automatically determining location levels and corresponding prices of land parcels.
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Elmanisa, Adisti Madella, An An Kartiva, Alfaret Fernando, Rama Arianto, Haryo Winarso, and Denny Zulkaidi. "LAND PRICE MAPPING OF JABODETABEK, INDONESIA." Geoplanning: Journal of Geomatics and Planning 4, no. 1 (December 23, 2016): 53. http://dx.doi.org/10.14710/geoplanning.4.1.53-62.
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Land provision is one of the biggest challenges for development in urban area. Most of the available urban land will be the object of speculation to be resold at a higher price when the time is right. In Jabodetabek, where the pace of urban development is faster than other parts of Indonesia, the prices of land show an abnormal increase; they seem to rise too fast. This paper discusses the increasing land prices in Jabodetabek area and argues that the increasing land price has encourages the private developer to bank the land in the area. Based on land price survey in Jabodetabek, urban activity is moving to south Jakarta. The highest land prices were found at East Kuningan, Setiabudi, and South Jakarta. By constrast, the lowest prices were observed in Sumur Batu and Cimuning (Bantar Gebang, Bekasi).It can be concluded that the land price increase also triggered land banking practice in Jabodetabek reaching in total approximately 60% of total area of Jakarta.
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DING, Chengri, and Yi NIU. "Which is Driver? Land Price or Housing Price: Examining the Urban Spatial Structure of Beijing." Chinese Journal of Urban and Environmental Studies 04, no. 03 (September 2016): 1650026. http://dx.doi.org/10.1142/s2345748116500263.
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This paper examines the spatial structure of Beijing to determine the relationship between land price and housing price. The purposes of the paper are two-fold. One is to help to better understand the roles in which land markets play in urban development and the other is to explain skyrocketing land prices, particularly in the first decade of the 21st century. It has been debated whether land supply is the main cause for skyrocketing land prices. This paper, however, concludes that it is housing price that drives up skyrocketing land prices. The analytical framework to draw the conclusion is to investigate urban spatial development patterns to see if they are consistent with the outcomes of urban model/theory in which land is treated as a production factor for housing and land demand is a derived demand. If the answer is yes, we can conclude the driving role of housing prices on land prices, even though we recognize the effect of land supply restrictions on land prices. So the paper first examines the urban spatial pattern of Beijing, with reference to urban economic model. And then the paper estimates the parameters of a CES-type housing production function. The paper conducts numerical simulation to illustrate how a small increase in housing prices will lead to big increases in land prices. The paper concludes (1) effective roles of price mechanism in land and urban development as manifested by relatively fast decay of land prices compared to housing prices, as expected according to urban theory; and (2) a 25% increase in housing price can lead to 50–125% increases in land prices, depending on the distance to city center. We believe that our finding has substantial policy implications in China.
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Burian, Jaroslav, Karel Macků, Jarmila Zimmermannová, and Barbora Kočvarová. "Spatio-Temporal Changes and Dependencies of Land Prices: A Case Study of the City of Olomouc." Sustainability 10, no. 12 (December 18, 2018): 4831. http://dx.doi.org/10.3390/su10124831.
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Land price sustainability issues have been addressed by many authors in the past. Most of these researchers used land prices (from land price maps) as the primary data source in their studies. Only a few papers analysed official land price maps, which are available very rarely. For this reason, we studied the spatial and temporal changes of land prices in the city of Olomouc based in an analysis of official land price maps from 1993 to 2017. We proposed several research hypotheses to confirm some general statements about land price changes. We concluded that some economic indicators had a significant impact on changes in land prices. In the residential and commercial areas and historical centre, land prices are significantly higher than in other monitored aspects (land-use types). We also concluded that no link existed between land-use stability and land price stability. Surprisingly, no long-term stable areas were found in the area of interest. The analysis also confirmed that land price and its change over time varied in different spatial aspects. Unexpectedly, the smallest influence was reflected in the economic aspect. Regarding natural events in recent decades, we observed a significant drop in land prices in the vicinity of watercourses threatened by flooding. These findings can assist in better understanding local development and changes in land price. The results of this study can help in gaining better understanding of economic, social, and environmental aspects of sustainability of land price changes.
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Buday, Š. "Agricultural land market in selected regions of the Slovak Republic." Agricultural Economics (Zemědělská ekonomika) 49, No. 4 (March 1, 2012): 189–94. http://dx.doi.org/10.17221/5378-agricecon.
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One of the conditions of accession of Slovakia into the European Union is the existence of a developed land market. At present, the official land price is mostly used in the evaluation of agricultural land. The price was calculated on the basis of normative production and normative costs required to achieve such production. As the land market gradually develops, market prices come into being; reflecting the effect of real market forces. With the full-fledged market prices, the task of official prices will be just an informative one. The land market prices will gradually assume all the tasks of the current official prices of the agricultural land.
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Nsabimana, Aimable, Fidele Niyitanga, Dave D. Weatherspoon, and Anwar Naseem. "Land Policy and Food Prices: Evidence from a Land Consolidation Program in Rwanda." Journal of Agricultural & Food Industrial Organization 19, no. 1 (March 2, 2021): 63–73. http://dx.doi.org/10.1515/jafio-2021-0010.
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Abstract Rwanda’s “Crop Intensification Program (CIP)” is primarily a land consolidation program aimed at improving agricultural productivity and food security. The program, which began in 2007, focuses on monocropping and commercialization of six priority crops: maize, wheat, rice, white potato, beans, and cassava. CIP has facilitated easy access to improved seed stocks, fertilizer, extension services, and postharvest handling and storage services. Although studies have documented the impact of CIP on changes in farm yield, incomes, and productivity, less is known about its impact on food prices. In this study, we examine the crop-food price differences in intensive monocropped CIP and non-intensive monocropped CIP zones in Rwanda. Specifically, the study evaluates price variations of beans and maize along with complementary food crops in intensive and non-intensive monocropped zones before and after the introduction of the CIP policy. We find that the CIP policy is not associated with differences in CIP crop prices between the intensive and non-intensive monocropped zones. Over time, prices increased for CIP crops but generally, the crop prices in the two zones were cointegrated. Prices for non-CIP crops in the two different zones did show price differentials prior to the implementation of CIP, with the prices in intensive monocropped zones being greater than in the non-intensive monocropped zones. Moreover, the prices in intensive areas are cointegrated with prices in non-intensive areas for maize and beans and these prices are converging. This indicates that farmers who intensively produced one CIP crop were able to go to the market and purchase other food crops and that price differences between zones have decreased over time, potentially making the CIP intensive farmers better off.
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Gong, Yunlong, and Jan de Haan. "Accounting for Spatial Variation of Land Prices in Hedonic Imputation House Price Indices: a Semi-Parametric Approach." Journal of Official Statistics 34, no. 3 (September 1, 2018): 695–720. http://dx.doi.org/10.2478/jos-2018-0033.
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Abstract Location is capitalized into the price of the land the structure of a property is built on, and land prices can be expected to vary significantly across space. We account for spatial variation of land prices in hedonic house price models using geospatial data and a semi-parametric method known as mixed geographically weighted regression. To measure the impact on aggregate price change, quality-adjusted (hedonic imputation) house price indices are constructed for a small city in the Netherlands and compared to price indices based on more restrictive models, using postcode dummy variables, or no location information at all. We find that, while taking spatial variation of land prices into account improves the model performance, the Fisher house price indices based on the different hedonic models are almost identical. The land and structures price indices, on the other hand, are sensitive to the treatment of location.
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Bradáčová, K. "Official agricultural land price in the Slovak Republic." Agricultural Economics (Zemědělská ekonomika) 53, No. 4 (January 7, 2008): 184–88. http://dx.doi.org/10.17221/865-agricecon.
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As long as the land market in Slovakia is not completely developed and land market prices introduced, the officially assigned land prices are practically in use. At the present time, land prices should express the supply prices, which cover the income effect of the land site under the socially necessary costs. In this situation, for the temporary period, centrally assigned fixed land prices could represent the effective supply and demand prices in case they correspond to the mentioned conditions. At present, the official prices are used for fiscal purposes and the land property rights.
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Xue, Yong Gang, and Ming Li Zhang. "Application of Option-Based Pricing Model in Investment Decision." Advanced Materials Research 926-930 (May 2014): 3762–65. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3762.
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The methodology is proposed to price the land in China based on real options model. The results from the option-based model in this research favor the application of the real option theory in land prices and have important role on investment decision. The results show the following conclusions: Firstly, the empirical results show the uncertainty with respect to built asset return has a substantial effect on increasing land prices, which is only explained by the option theory. Secondly, the asset price and the size of city have positive role on increasing the land price from. Thirdly, the risk-free interest rate affects option prices in two opposite direction. Lastly, information of the previous period has a very strong effect on the next period's land price.
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Burian, Jaroslav, Karel Macků, Jarmila Zimmermannová, and Rostislav Nétek. "Sustainable Spatial and Temporal Development of Land Prices: A Case Study of Czech Cities." ISPRS International Journal of Geo-Information 9, no. 6 (June 16, 2020): 396. http://dx.doi.org/10.3390/ijgi9060396.
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Only a limited number of studies have examined land price issues based on official land price maps. A very unique timeline of official land price maps (2006–2019) allowed research to be conducted on four Czech cities (Prague, Olomouc, Ostrava, and Zlín). The main aim of the research was to describe the links between land price, land use types, and macroeconomic indicators, and to compare temporal changes of these links in four cities of different size, type, and structure by using spatial data processing and regression analysis. The results showed that the key statistically significant variable in all cities was population size. The effect of this variable was mostly positive, except for Ostrava, as an example of a developing city. The second statistically significant variable affecting land prices in each city was discount rate. The effect of other variables differed according to the city, its characteristics, and stage of economic development. We concluded that the development of land prices over time was slightly different between the studied cities and partially dependent on local spatial factors. Nevertheless, stagnation in 2010–2011, probably as a consequence of the global economic crisis in 2009, was observed in each city. Changes in the monitored cities could be seen from a spatial point of view in similar land price patterns. The ratio of land area with rising prices was very similar in each city (85%–92%). The highest land prices were typically in urban centers, but prices rose only gradually. A much more significant increase in prices occurred in each city in their peripheral residential areas. The results of this study can improve understanding of urban development and the economic and spatial aspects of sustainability in land price changes.
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Chen, Rong Fang, and Jun Tang. "Analysis of Influencing Factors of Housing Price in Xiangtan City." Advanced Materials Research 934 (May 2014): 263–68. http://dx.doi.org/10.4028/www.scientific.net/amr.934.263.
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On the basis of rationality evaluation index of housing price, the main influencing factors of housing price were proposed. Through the analysis of 2004-2013 Xiangtan land prices, housing price, construction costs and taxes and other factors, it is concluded that the four main factors that affect Xiangtan City’s housing price are land prices, housing supply, construction costs and taxes.
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Utami, Westi, Yuli Ardianto Wibowo, and Fajar Buyung Permadi. "The Impact of Tidal Flooding on Decreasing Land Values in the Areas of Tugu District, Semarang City." Jurnal Ilmu Lingkungan 19, no. 1 (April 28, 2021): 10–20. http://dx.doi.org/10.14710/jil.19.1.10-20.
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Semarang City as one of the areas on the north coast has a serious problem related to tidal flooding. The impact of this disaster has implications for changes in land use, a decrease in environmental quality and health, the emergence of slum settlements, a decrease in income and also a decrease in land value. This study aims to map the impact of tidal flooding on changes in land values based on the Land Value Zone Map (ZNT) and map land prices based on spatial data analysis. The study was carried out through spatial analysis by overlaying (join intersection) the 2014, 2016, 2018 and 2019 ZNT maps to determine changes in land value, while mapping land prices, especially in Mangunharjo Village, was based on land use maps, positive accessibility (road network) and negative accessibility (prone flood rob). The results of the study show that land which is permanently affected by tidal flooding and cannot be used anymore makes it a lost / destroyed land, while periodically inundated land has experienced a price decline in the range of Rp 100.000 – 200.000, -/m2. Meanwhile, the results of the study from the ZNT map for 2014 to 2019 show a very significant difference in price between zone 1 and a price increase of ± Rp 3.500.000; zone 2 price increase ± Rp 575.000, -, zone 3 at a price range of Rp 385.000, and zone 4 as the tidal flood prone zone only experienced an increase of Rp 250.000,-. In this context, the variable of tidal flooding vulnerability greatly affects the stagnation of land prices and even decreases in land prices, while the positive accessibility variable is the location of land on national and local roads that has experienced a very high price increase.
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Ball, Michael, Edward Shepherd, and Pete Wyatt. "The relationship between residential development land prices and house prices." Town Planning Review: Volume ahead-of-print ahead-of-print (August 1, 2020): 1–21. http://dx.doi.org/10.3828/tpr.2021.27.
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There exists apparent disagreement between two areas of literature regarding the relationship between house prices and land prices. In the professional literature it is argued that high house prices cause high residential development land prices. In some of the policy literature it is argued that it is land-price increases that are behind increasing house prices. We argue that this is a rather artificial dichotomy and arises from two different ways of thinking about the relationship between land and house prices. To demonstrate this we explore how housing and residential land markets work and how their price responses are interrelated.
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Roos, Anders. "A hedonic price function for forest land in Sweden." Canadian Journal of Forest Research 26, no. 5 (May 1, 1996): 740–46. http://dx.doi.org/10.1139/x26-083.
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A hedonic price model was employed to analyze prices for forest land in Sweden, which is primarily used for timber production. The investigation was based on 143 sales in 1992, and the independent variables describe the conditions for profitable forest management. Estimates were performed using the Box–Cox transformed specification and likelihood ratio tests. The results indicate a positive relationship between the per-hectare price of forest land and (1) the proportion of productive forest land in relation to the total forest area on the estate, (2) the mean standing volume, and (3) the mean site productivity on productive forest land. The parcel area has a negative effect on per-hectare prices. Population density in relation to the area of forest land in the county displays a positive relationship with price. The price of forest land was not significantly lower in regions with buyer restrictions than in other parts of Sweden.
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Cho, Seonga, and Gunhak Lee. "Exploring spatio-temporal hot spots of land price change with housing transaction data in Seoul." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-45-2019.
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<p><strong>Abstract.</strong> Evaluating residential property prices or land values is quite important for urban planning and government taxation as well. But it is generally difficult to predict land values accurately due to the dynamics of land prices, particularly in urban areas. Urban land values are mostly affected by natural environmental changes and various social and economic factors (Colwell & Munneke, 1997). Also, such socio economic factors are influencing both temporal and spatial aspects of land value, and therefore spatio-temporal clusters of land price changes will show local variations of land values very well. Specifically, the spatio-temporal hot spots might indicate highly increasing demand of lands in the urban area. In those areas, regulation against real estate speculation must be needed from the public perspective because such areas might impact on other area land prices and ultimately national economic status. Therefore, analyzing spatio-temporal aspects of the land price is essential for efficient urban planning and policy making.</p><p> In this study, we attempt to detect spatio-temporal hot spots which are constantly increasing the value of residential property among real estate. Although there are many types of differently designated lands including such as commercial, agricultural, and lands for other usage, we focus on the residential lands to estimate land values in this research. The reason for this is because residential house price is substantially increasing and becoming one of sensitive issues of Seoul house market. Therefore, poor people or younger generation cannot afford such high housing expenses in Seoul. Also, house transaction data is much larger than other land usage data, and therefore it can be utilized for estimating land values more precisely. From 2011 to 2016, over 1.8 million housing transactions of lease and sale happened in Seoul. This big data on housing lease and sale transactions indicates the value of each location where the transaction occurred.</p><p> Specifically, we utilize spatial interpolation method including Kriging and differential local Moran’s I approach based on housing transaction data in Seoul. Housing transaction data includes every transaction for sales and leases of the house for the particular period. By applying these methodologies, we can visualize spatio-temporal clusters of highly increasing land prices and interpret significant clusters in terms of social factors. In fact, land price distribution has been widely discussed associated with smart growth and urban development (American Planning Association, 2002; Kaiser et al., 1995). However, most studies have focused on urban development and expansion, rather than the changes in the land price. Moreover, many studies have applied remote sensing approach to analyze urban land expansion (Xiao et al., 2006; Magigi & Drescher, 2010). Notably, Hu et al., (2013) applied IDW to interpolate and estimating land prices with land samples. However, IDW has a shortcoming to interpolate the value which is distant from the sample points. In addition, even studies focusing on the land price have dealt with only one temporal period. From this research gap, we use the ordinary Kriging and differential local Moran’s I to detect and forecast local hot spots of land price changes.</p><p> This research has conducted the following steps. At the first step, several transactions for the residential area are consolidated into a single land value indicator. Suppose that the residential rent consists of three factors that are housing price (<i>P</i>), deposit (<i>D</i>), and monthly rent (<i>R</i>). Each factor can be transformed into the value index (<i>V</i>) by the transformation formula below. After calculating the land value index from the transformation, the global trend of the value index is overlaid on each period. Figure 1. Shows the mean value index increased from 2011 to 2016. Then, square cells regularly spaced by 100 meters are generated over study area to perform the ordinary Kriging. After the ordinary Kriging, the land value index is assigned to each grid cell. Finally, differential local Moran’s I index is calculated based on the difference that value index change between each year.</p><p> <i>V</i>&thinsp;=&thinsp;0.75&thinsp;*&thinsp;0.005&thinsp;*&thinsp;<i>P</i>&thinsp;+&thinsp;0.005&thinsp;*&thinsp;<i>D</i>&thinsp;+&thinsp;<i>R</i></p><p> As a result, the global trend of land value changes from 2011 to 2016 in Seoul is shown in Figure. 1. The mean value index is increasing constantly. The spatio-temporal hot spots of land price change are found where the value index increment exceeds the average value index increasing over Seoul. As a result, seven clusters are detected (Figure. 2).</p>
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Donoso, Guillermo, and Guillermo Vicente. "A hedonic price model of Argentinean land prices." Ciencia e investigación agraria 28, no. 2 (August 5, 2001): 73–81. http://dx.doi.org/10.7764/rcia.v28i2.437.
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Liu, Hong Yong, and Li Deng. "The Influence of "Limit House Price, Compete Land Price" Policy to Land Price under Auction." Advanced Materials Research 243-249 (May 2011): 6385–88. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.6385.
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The article mainly introduced how the land auction in our country impacted the sell price of land, and through analysising the influence of the policy in 2006 and 2010 which called “limit house price , compete land price” to land auction, got that this policy may control house price and land price in a short time. But in the long run, selling the land through auction had some problems, and this policy had difficulty in setting the price and the quality of the house couldn’t be guaranteed. According to the above questions, it proposed that it should through transforming government’s function, reasonably determining house price and strengthening the quality supervision of “limited price house” to solve the present situation of overpriced.
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Tomal, Mateusz, and Agata Gumieniak. "Agricultural Land Price Convergence: Evidence from Polish Provinces." Agriculture 10, no. 5 (May 21, 2020): 183. http://dx.doi.org/10.3390/agriculture10050183.
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This research deals with the problem of agricultural land market efficiency using the spatial market integration concept as well as the present value (PV) model. Empirically, it aims to test the convergence of agricultural land prices across Polish provinces. In order to check the law of one price (LOP), good-quality, medium-quality and bad-quality land sales markets are examined separately. Furthermore, this study is complemented by an analysis of the drivers behind agricultural land price convergence. The main method of testing price convergence is the log t regression. The latter was performed in two configurations, i.e., based on trend components of time series extracted using the Hodrick–Prescott filter and the Hamilton filter. Additionally, traditional β- and σ-convergence tests were applied. The obtained results indicated that agricultural land prices tend to converge in relative terms, which means that the provinces share a common long-run growth path. This finding and estimates of traditional convergence tests prove the increasing integration in the agricultural land market in Poland. There is no evidence, however, to support the conclusion that the absolute version of the long-run LOP holds. Moreover, using dynamic fixed effects models, it was identified that for good-, medium- and bad-quality land prices almost the same drivers of convergence apply. The only differences concern the strength of the influence of independent variables on prices of farmland of various types. Additionally, bad-quality land prices are the only ones which are affected by livestock density. Furthermore, estimates of the present value model finally confirmed that the agricultural land sales market in Poland cannot be considered as efficient.
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Dirgasová, Katarína. "Land Market and Price of the Agricultural Land after the End of the Transitional Period." Acta Regionalia et Environmentalica 13, no. 2 (November 1, 2016): 41–46. http://dx.doi.org/10.1515/aree-2016-0009.
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Abstract After the end of the transition period for the purchase of the agricultural land by foreigners, the legislation regulating the acquisition of the agricultural land was adopted for the purpose of harmonization of the Slovak legislation with the legislation of the European Union. The Law no. 140/2014 Coll. on the acquisition of ownership to the agricultural land and amending and supplementing determines the subjects that are legitimated to acquire the ownership to the agricultural land. In addition, due to the creation of the Register of Offers of the Agricultural Land, the legislation allows the landowner to set a price on the sale of the agricultural land. In Slovakia, apart from the administrative prices and the market prices, there is a new type of prices, so-called „supply price“. The aim of the paper is to sum up the impact of the current legislation on the land market and the prices of agricultural land.
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Reydon, Bastiaan Philip, Ludwig Einstein Agurto Plata, Gerd Sparovek, Rafael Guilherme Burstein Goldszmidt, and Tiago Santos Telles. "Determination and forecast of agricultural land prices." Nova Economia 24, no. 2 (August 2014): 389–408. http://dx.doi.org/10.1590/0103-6351/1304.
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The aim of this study is to discuss and apply hedonic methodology for the determination and forecast of land prices in specific markets. This is important due to the fact that there is no official or reliable information in Brazil on current prices in land market transactions. This hedonic price methodology uses a multiple regression model which has, as an explanatory variable, the price per hectare and independent variables related to physical attributes (soil, climate and terrain), production (systems of production, location, access), infrastructure of the property and expectations (regional scenario, local investments). Application of the methodology to a Homogeneous Zone of the state of Maranhão, in Brazil, generated a parsimonious model, in which five independent variables were responsible for 70% of the variance in the price of agricultural land.
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Yang, Zan, Rongrong Ren, Hongyu Liu, and Huan Zhang. "Land leasing and local government behaviour in China: Evidence from Beijing." Urban Studies 52, no. 5 (April 15, 2014): 841–56. http://dx.doi.org/10.1177/0042098014529342.
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Since 2004, two auction mechanisms – listing auctions and tender auctions – have played a dominant role in land lease arrangements for real estate development in Beijing. Listing auctions in land markets are similar to general English auctions, where bidders offer the highest price to win. However, in tender auctions, winners are determined by the bidding price and the bidder’s financial capability and reputation. Based on granted land parcels from 2006 to 2012 in Beijing, this paper attempts to examine the price differences between the two auctions and the role of land auction in urban development and price stabilisation. We find that land policy in Beijing, which aims to stabilise land prices and to provide low-price residences, has been integrated with urban development planning in terms of spatial and density pattern. Land leasing in Beijing is not only a land policy but also a part of the strategy framework of local development.
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Ward, Alan. "Land Is the Price." Journal of Pacific History 50, no. 2 (April 3, 2015): 241–45. http://dx.doi.org/10.1080/00223344.2015.1031941.
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Cai, Xingran, Yanqing Liang, Zhiying Huang, and Jingfeng Ge. "Spatiotemporal pattern and coordination relationship between urban residential land price and land use intensity in 31 provinces and cities in China." PLOS ONE 16, no. 7 (July 20, 2021): e0254846. http://dx.doi.org/10.1371/journal.pone.0254846.
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The trend towards efficient and intensive use of land resources is an inevitable outcome of current social development. The rational matching of urban land prices and land use intensity has become an important factor under accelerating urbanization, and promotes the healthy development of the social economy. Using data on residential land price and on land use intensity for 31 provinces and cities in China, we employ the E-G cointegration test and quadrant map classification to determine the coordination relationship between land price and land use intensity. We then employ HR coordination to calculate the coordination degree of land price and land use intensity, and classify the coordination type accordingly. Our results are as follows. (1) The spatio-temporal distribution of urban land price shows high variability with multiple maxima, and follows a decreasing trend from the southeast coastal area to the northwest inland area and the northeast. (2) The overall land use intensity is at or above the middle level, and shows large spatial differences between provinces, but the agglomeration between provinces is increasing. (3) From the perspective of the relationship between urban land price and land use intensity at the inter-provincial scale, we find that the land price and land use intensity are well coordinated, and the number of provinces has been dynamically changing during different development periods. There is an east-west difference in the spatial distribution of land price and land use intensity coordination level. Different provinces and cities with the same coordination stage show differences in their land price and land use intensity level.
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Rajan, Raghuram, and Rodney Ramcharan. "The Anatomy of a Credit Crisis: The Boom and Bust in Farm Land Prices in the United States in the 1920s." American Economic Review 105, no. 4 (April 1, 2015): 1439–77. http://dx.doi.org/10.1257/aer.20120525.
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Does credit availability exacerbate asset price inflation? Are there long-run consequences? During the farm land price boom and bust before the Great Depression, we find that credit availability directly inflated land prices. Credit also amplified the relationship between positive fundamentals and land prices, leading to greater indebtedness. When fundamentals soured, areas with higher credit availability suffered a greater fall in land prices and had more bank failures. Land prices and credit availability also remained disproportionately low for decades in these areas, suggesting that leverage might render temporary credit-induced booms and busts persistent. We draw lessons for regulatory policy. (JEL E31, G21, G28, N22, N52, Q12, Q14)
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Du, Ying-Yu, Yong-Qi Huang, Can-Xu Yao, and Yuan-Biao Zhang. "Influential Factors of Residential Commodity Price Changes in Sanya." International Journal of Economics and Finance 10, no. 12 (November 20, 2018): 96. http://dx.doi.org/10.5539/ijef.v10n12p96.
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Residential commodity price is not only an important index of government macro-control, but also an important livelihood topic in society. The purpose of this paper is to take Sanya as an example to make an empirical analysis on the relationship between the factors affecting commodity housing prices, and their effects on housing prices. By using pearson correlation analysis, factor analysis and principal component regression method, it is found that the main factors influencing the housing price in Sanya are the housing sales area, the gross domestic product, the per capita disposable income, and the land price level of residential land. Among them, housing sales area and Sanya city house price changes in the opposite direction, the regional gross domestic product, per capita disposable income, residential land price level plays a positive role in housing prices.
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Hou, Yunxian, and Pengfei Chen. "Research on the Relationship between Price Mechanism and Short-Term Behavior in Chinese Farmland Trusteeships." Sustainability 11, no. 20 (October 16, 2019): 5708. http://dx.doi.org/10.3390/su11205708.
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After the policy of separating ownership rights, contract rights, and management rights to rural land, some Chinese farmers entrusted their land to agricultural social service providers. However, at present in land trusteeships, short-term behaviors exist, which are not good for the sustainable utilization of land. This article uses a dynamic game model to analyze the economic reasons for short-term behavior and to explore possible mechanisms. The study’s results showed that fluctuations in trusteeship prices encouraged farmers to sign low-price, long-term contracts or high-price, short-term contracts that allowed agricultural social service providers choose short-term behaviors. A variable-price system may avoid short-term contracts as a result of fluctuations in trusteeship prices, allowing both sides to build a long-term stable partnership, encouraging long-term investment in land. To ensure the sustainable utilization of land, it is suggested that both sides adopt a variable price system.
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Stone, Douglas, and William T. Ziemba. "Land and Stock Prices in Japan." Journal of Economic Perspectives 7, no. 3 (August 1, 1993): 149–65. http://dx.doi.org/10.1257/jep.7.3.149.
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This paper discusses the rise of Japanese stock and land prices in the past four decades and their dramatic decline in the early 1990s. To what extent can fundamental factors explain both the price levels and the returns from land and stock in Japan? Are land prices driving stock prices, or the other way around, or are still other factors affecting both? How has government policy interacted with the price changes? In practice, it is very difficult to solve the problem of separating the explanation that a bubble occurred from the possibility that the underlying fundamental problem is misspecified. We believe that the bulk of the rise in Japanese asset prices from 1985–89 and the decline during 1990–92 was driven by interest rate and credit market conditions. However, in certain speculative land markets, there is some evidence in support of the bubble hypothesis.
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Astutik, Vera, Sudra Irawan, and Wenang Anurogo. "Geographic Information System For The Mapping Of Value Land Zone Of District Bengkong Based On AHP Analysis." Journal of Applied Geospatial Information 1, no. 2 (July 31, 2017): 49–57. http://dx.doi.org/10.30871/jagi.v1i2.317.
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Information on the value of land in Indonesia is still very minimal and difficult to be known by the public, particularly in the area of Bengkong, it also results in the presence of new activity for land speculators who want to grab a great adventage in providing price and land value pricing-related information. The purpose of this research are to create the value land zone map (VLZ) that illustrates the value of land is relatively the same as delivering lines and different colors on each value owned and accompanied the factors whisch affected it, as well as presenting a price comparison between the village and the land on map in the form of the web. Spatial analysis and AHP can be used for weighting for the most influential parameters and has no effect, so that the AHP can be useful to assist in decision making. VLZ obtained by observation in the field using a questionnaire and interview against the respondent. Observation and interviews done with the technique of sampling purposisive namely the selection of the sample with the groups in the number of smallest unit of score. Samples taken as many as 25 in order to achieve an accurate data. The value of the acquired land price is the current value of land prices. The result of the research in the form of web map VLZ with 6 classification of land price, the prices that Bengkong area concertrated settlement areas as Rp 3.500.000/sqm for the land prices are the highest in the village of Sadai and Rp 327.000/sqm for the lowest land price was in the village of Tanjung Buntung.
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Aronsson, Thomas, and Ola Carlén. "The determinants of forest land prices: an empirical analysis." Canadian Journal of Forest Research 30, no. 4 (April 1, 2000): 589–95. http://dx.doi.org/10.1139/x99-250.
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In this paper, we estimate a forest land price model using micro data, where the equilibrium price is interpretable as the outcome of a trading game between the buyer and seller. A novelty of the empirical analysis is the recognition that the forest land price, which has been agreed upon by the buyer and seller, may depend on variables characterizing the buyer's and seller's preferences and choice sets. The results imply that forest land prices are not only determined by land related variables (e.g., the land size, timber volume, and site productivity), they also depend significantly on buyer and seller characteristics.
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Woestenburg, Alexander, Erwin van der Krabben, and Tejo Spit. "Institutions in rural land transactions." Journal of European Real Estate Research 7, no. 2 (July 29, 2014): 216–38. http://dx.doi.org/10.1108/jerer-01-2014-0005.
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Purpose – This article aims at analysing the different institutional aspects of the rural land market that are manifest at the transactional level. Second, it answers the question whether including these aspects in a land price model increases the understanding of rural land market outcomes. Institutional economics scholars have challenged the limited institutional behaviour of conventional land market models. Despite their research methods remaining primarily qualitative, research findings suggest that we should look at institutional aspects to understand land and real estate market outcomes better. Design/methodology/approach – This paper presents a hedonic price model explaining rural land prices by using individual institutional transaction aspects from the deeds of purchase of the land exchange. Findings – The results indicate that incorporating institutional aspects, such as property rights, transactional arrangements and governance context, as explanatory variables significantly improves the power of the model. Originality/value – The approach taken in this article is new in the sense that it tries to combine a quantitative research method with a rich data set of a more qualitative character. The use of deeds of purchase as a primary source of a hedonic price model is relatively new and provides a first step in bridging the gap between advanced hedonic land price models and rich institutional economic insights in market processes.
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Monk, S., B. J. Pearce, and C. M. E. Whitehead. "Land-Use Planning, Land Supply, and House Prices." Environment and Planning A: Economy and Space 28, no. 3 (March 1996): 495–511. http://dx.doi.org/10.1068/a280495.
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There are clearly significant social benefits to land-use planning, but there may also be significant private and social costs which need to be taken into account. In this paper we explore the relationship between land-use planning, the supply of housing land, and the supply and price of housing. It is based on two pieces of empirical research. In the first study, an investigation was conducted of the extent to which land supply, and particularly the operation of the planning system, had affected house prices in Britain during the 1980s, and how far planning had placed a constraint on land supply or simply reorganised that supply. In the follow-up study a single planning area was looked at to examine the extent to which increased land allocations in one area can compensate for constraints on land supply in another. We conclude that the planning system imposes significant costs, which include the exacerbation of price increases in periods of economic growth, but without being able to generate higher housing output during recession. In addition the planning system tends to foster a narrower range of housing types and densities than would be expected in its absence, and so restricts the choice available to consumers.
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Li, Meng, Li, Ge, and Zhao. "Inter-Metropolitan Land-Price Characteristics and Patterns in the Beijing-Tianjin-Hebei Urban Agglomeration in China." Sustainability 11, no. 17 (August 29, 2019): 4726. http://dx.doi.org/10.3390/su11174726.
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The continuous expansion of urban areas in China has increased cohesion and synergy among cities. As a result, the land price in an urban area is not only affected by the city’s own factors, but also by its interaction with nearby cities. Understanding the characteristics, types, and patterns of urban interaction is of critical importance in regulating the land market and promoting coordinated regional development. In this study, we integrated a gravity model with an improved Voronoi diagram model to investigate the gravitational characteristics, types of action, gravitational patterns, and problems of land market development in the Beijing-Tianjin-Hebei urban agglomeration region based on social, economic, transportation, and comprehensive land-price data from 2017. The results showed that the gravitational value of land prices for Beijing, Tianjin, Langfang, and Tangshan cities (11.24–63.35) is significantly higher than that for other cities (0–6.09). The gravitational structures are closely connected for cities around Beijing and Tianjin, but loosely connected for peripheral cities. Further, various types of radiation, conduction, and convection actions exist in relation to urban land prices. In terms of gravitational patterns, the range of influence of land prices is not limited to the administrative boundaries of each city. Five clusters of urban land prices can be identified based on the gravitational structure. The land-price gravity value of the city cluster around Beijing accounted for 66.4% of the total. The polarizing effect of land-price levels and influence is clearly evident in Beijing and Tianjin, while a lock-in effect is evident in Xingtai and Handan in the south of the region.
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Wang, Rui. "The Structure of Chinese Urban Land Prices: Estimates from Benchmark Land Price Data." Journal of Real Estate Finance and Economics 39, no. 1 (December 27, 2007): 24–38. http://dx.doi.org/10.1007/s11146-007-9100-4.
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Lee, Sang-Hyang, Jae-Hwan Kim, and Jun-Ho Huh. "Land Price Forecasting Research by Macro and Micro Factors and Real Estate Market Utilization Plan Research by Landscape Factors: Big Data Analysis Approach." Symmetry 13, no. 4 (April 7, 2021): 616. http://dx.doi.org/10.3390/sym13040616.
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In real estate, there are various variables for the forecasting of future land prices, in addition to the macro and micro perspectives used in the current research. Examples of such variables are the economic growth rate, unemployment rate, regional development and important locations, and transportation. Therefore, in this paper, data on real estate and national price fluctuation rates were used to predict the ways in which future land prices will fluctuate, and macro and micro perspective variables were actively utilized in order to conduct land analysis based on Big Data analysis. We sought to understand what kinds of variables directly affect the fluctuation of the land, and to use this for future land price analysis. In addition to the two variables mentioned above, the factor of the landscape was also confirmed to be closely related to the real estate market. Therefore, in order to check the correlation between the landscape and the real estate market, we will examine the factors which change the land price in the landscape district, and then discuss how the landscape and real estate can interact. As a result, re-explaining the previous contents, the future land price is predicted by actively utilizing macro and micro variables in real estate land price prediction. Through this method, we want to increase the accuracy of the real estate market, which is difficult to predict, and we hope that it will be useful in the real estate market in the future.
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Lee, Chun-Chang, Yi-Xin Chen, Yun-Ling Wu, Wen-Chih Yeh, and Chih-Min Liang. "Multilevel Analysis of the Pressure of Agricultural Land Conversion, Degree of Urbanization and Agricultural Land Prices in Taiwan." Land 9, no. 12 (November 25, 2020): 474. http://dx.doi.org/10.3390/land9120474.
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In 2000, to efficiently implement land-use policies, the Taiwanese government amended the Agricultural Development Act by easing restrictions on agricultural land purchases. As a result of increasing land development and investment needs, agricultural land prices have surged. This study aims to examine whether agricultural land prices in Pingtung County are affected by land control policy measures, the pressure of agricultural land conversion and the degree of urbanization. A multilevel analysis approach was used to analyze land price differences in townships in Pingtung County. The estimation results derived from the null model indicated significant differences between the mean land price in each administrative division. Specifically, the ratio of agricultural land prices affected by differences in Level 2 township-related factors was 21.8%, while the ratio of those affected by differences in Level 1 land-related factors was 78.2%. An empirical intercepts-and-slopes-as-outcomes regression model demonstrated that Level 2 township-related factors, such as the pressure of agricultural land conversion and the degree of urbanization, had cross-level, direct and positive impacts on agricultural land prices; while Level 1 land-related factors, such as lot size control measures on farmhouse construction and land-use zoning, had positive and significant impacts on agricultural land prices.
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Dani, Irfan, and Retno A. Ekaputri. "ANALISIS PRODUKSI CABAI SKALA USAHA MIKRO DI KABUPATEN KEPAHIANG." Convergence: The Journal of Economic Development 1, no. 1 (March 31, 2020): 25–38. http://dx.doi.org/10.33369/convergence-jep.v1i1.10855.
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The aim of this research is to find out the influence of chili prices, chili production in the previous year, land area, price of leek on the chili supply in Kepahiang regency. This study covers the period 2004-2018, using secondary data in the form of panel data which is analyzed using multiple linear regression and the existing data is processed using the Eviews 9.0 computer program. The results of data analysis showed that the independent variable was the price of chili, the previous year's chili production and the area of land were positive and had a significant influence on the dependent variable that is chili production. While the price of scallion has a negative coefficient value and does not have a significant influence on chili production in Kepahiang regency.Keywords: Chili Prices, Chili Production , Land Area, Previous Year's Chili Production, Price Scallion
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Mainaki, Revi, Anita Eka Putri, and Dwiyono Hari Utomo. "Land Value Potential Zonation : Implication Towards Urban Planning." Geosfera Indonesia 5, no. 2 (August 22, 2020): 288. http://dx.doi.org/10.19184/geosi.v5i2.17442.
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Potential land prices are strongly influenced by various factors, Cimahi City has three sub-districts displaying unique characteristics, since it is located between two districts and one large city, which affects the potential price of land. The potential price of land is crucial to identify, especially in determining the policies of related agencies, the purpose of this research was to zoning potential land prices in Cimahi City. This study engaged a quantitative approach utilizing data collection technique in the form of observation, literature, documentation, and interviews, then analysis was conducted using a GIS which composed of assessment, weighting, coating, and buffering. The study population was all sub-districts in Cimahi. The research samples were taken from several sub-districts which were influenced by districts and cities characteristics indicators such as accessibility, land usage, and land ownership status. The results showed land prices potential was classified as low, medium, and high which was derived by several indicators. It could be concluded that the potential land price is strongly influenced by the surrounding area features, especially urban and district infrastructure.
Keywords: Land Value Potential; Zonation; Urban Planing
Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
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Knoll, Katharina, Moritz Schularick, and Thomas Steger. "No Price Like Home: Global House Prices, 1870–2012." American Economic Review 107, no. 2 (February 1, 2017): 331–53. http://dx.doi.org/10.1257/aer.20150501.
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How have house prices evolved over the long run? This paper presents annual house prices for 14 advanced economies since 1870. We show that real house prices stayed constant from the nineteenth to the mid-twentieth century, but rose strongly and with substantial cross-country variation in the second half of the twentieth century. Land prices, not replacement costs, are the key to understanding the trajectory of house prices. Rising land prices explain about 80 percent of the global house price boom that has taken place since World War II. Our findings have implications for the evolution of wealth-to-income ratios, the growth effects of agglomeration, and the price elasticity of housing supply. (JEL C43, N10, N90, R31)
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Lazíková, Jarmila, Ľubica Rumanovská, Ivan Takáč, Piotr Prus, and Alexander Fehér. "Regional Differences of Agricultural Land Market in Slovakia: A Challenge for Sustainable Agriculture." Agriculture 11, no. 4 (April 15, 2021): 353. http://dx.doi.org/10.3390/agriculture11040353.
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The agricultural land market and its legal and political limitations play an important role in sustainable agricultural production. This study analyzed the agricultural land market in particular regions of Slovakia in terms of the sustainability of agricultural production. We focused on the development of proposed land prices between 2014 and 2018 to find out whether the prices proposed by landowners align with administrative land prices reflecting the soil quality in particular regions of Slovakia, or whether they are influenced by the proposed land prices of neighboring regions. Moreover, we focused on the existence of regional differences in proposed land prices in Slovakia, including differences in supply prices of arable land and permanent grasslands in particular regions. Statistical induction tools, together with multiple range tests and spatial autocorrelation, were used to confirm or refuse our expectations. We confirmed statistically significant differences in proposed land prices between regions. Moreover, we found that landowners are only influenced by the proposed land prices of their neighboring regions to a slight degree. However, we found that the price scissors between proposed land prices and administrative land prices open towards smaller administrative land prices, meaning that land of poorer fertility is supplied at a higher price than land of the best soil quality. There is a risk that expensive and poorer land plots will be used by investors for non-agricultural purposes, and agricultural production will be crowded out from these regions. Therefore, we propose that changes to the prepared legislative measures are necessary in order to promote the sustainability of agricultural production in all regions of the country.
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Musyafak, Akhmad, Irham, Slamet Hartono, and Jamhari. "OPTIMASI POLA TANAM DAN ALOKASI INPUT UNTUK PENINGKATAN KETAHANAN PANGAN RUMAH TANGGA DI LAHAN PASANG SURUT KABUPATEN KUBU RAYA KALIMANTAN BARAT." Jurnal AGRISEP 10, no. 2 (September 5, 2011): 207–24. http://dx.doi.org/10.31186/jagrisep.10.2.207-224.
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The research was conducted in the district of Kubu Raya which is focused on swamp land. The purpose of this study are (a) optimizing the allocation of cropping pattern and input to achieve household food security and income maximum, (b) to simulate changes in input prices and output and its impact on cropping patterns, household income, and allocation of inputs. Location selected by purposive sampling technique taking into account the typology of land and type of overflow, whereas the primary data collected from farm households by simple random sampling technique. Data were analyzed with linear programming and sensitivity analysis. An important result of this study are as follows: (1) Optimal cropping patterns in swamp lands are as follows: (a) the type of SMA / A, paddy field: rice - rice, (b) the type of SMP / A, paddy field: rice - rice, and dry land: coconut, (c) type SMP / B, paddy fields: corn-corn, and dry land: fruit, (d) the type of SMP / C, paddy field: rice-paddy and dry land: coconut, (e) type bergambut / B, wetland : paddy-rice, and dry Ahan: coconut, (f) type bergambut / C, paddy field: rice-paddy and dry land: coconut, (g) the type of peat is / B, the paddy field: rice-paddy, (h ) the type of shallow peat / D, wet land: paddy-rice, and dry land: rubber; (2) the optimal allocation of inputs consisting of family labor 166.74 day of man work/year, rent labor 132.74 day of man work/year, seed of paddy 70.54 kg/year, Urea 189.28 kg/year, SP36 94.34 kg/year, KCl 56.35 kg/year, NPK 75.66 kg/year, organic fertilizer 65.99 kg/year, herbicide 8.62 lt/year, dan pesticida 2.29 lt/year; (3) the actual household income of Rp 2,200,000.00 / household / year, if carried out optimization of unconditional “food patterns of national expectations/FPNE” increased to Rp 3,883,234.87 / household / year and if there is a requirement of the FPNE decreased to Rp 1,285,839.37 / household / year. (4) the price of rice and corn prices are most sensitive to fluctuations. If the price of rice rose more than 5% or the price of corn rose more than 50% (cateris paribus) the optimal solution will change. Likewise, if the price of rice fell by more than 34% or corn prices fell more than 9% (cateris paribus) the optimal solution will change. (5) The simulation results show that the rise in input prices and output prices 10% did not alter the optimal solution. But the impact on household income increased by 37.87% (unconditional FPNE), and 114.37% (provided FPNE). Simulated 10% decrease in output price and input prices fixed, it does not alter the optimal solution, but the impact on the decline in household income by 152.15% (unconditional FPNE) and 459.49% (provided FPNE). Keywords: optimize, farm household, swamp area, food security,
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Yang, Zhiheng, Chenxi Li, and Yongheng Fang. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China." Land 9, no. 1 (January 1, 2020): 7. http://dx.doi.org/10.3390/land9010007.
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More and more studies on land transfer prices have been carried out over time. However, the influencing factors of the industrial land transfer price from the perspective of spatial attributes have rarely been explored. Selecting 25 towns as the basic research unit, based on industrial land transfer data, this paper analyzes the influencing factors of the price distribution of industrial land in Dingzhou City, a rural land system reform pilot in China, by using a geographically weighted regression (GWR) model. Eight evaluation factors were selected from five aspects: economy, population, topography, landform, and resource endowment. The results showed that: (1) Compared with the traditional ordinary least squares (OLS) model, the GWR model revealed the spatial differentiation characteristics of the industrial land transfer price in depth. (2) Factors that have a negative correlation with the industrial land transfer price include the proportion of cultivated land area and distance to the city. Factors that have a positive correlation with the industrial land transfer price include the population growth rate, economic growth rate, population density, and number of hospitals per unit area. (3) The results of GWR model analysis showed that the impact of different factors on the various towns of different models had significant spatial differentiation characteristics. This paper will provide a reference for the sustainable use of industrial land in developing countries.
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HANAOKA, Hirofumi. "Disaster Risk and Land Price." Japanese Journal of Real Estate Sciences 25, no. 2 (2011): 114–17. http://dx.doi.org/10.5736/jares.25.2_114.
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van Schalkwyk, H. D., and J. A. Groenewald. "Agricultural land price and quality." Development Southern Africa 10, no. 3 (August 1993): 401–10. http://dx.doi.org/10.1080/03768359308439702.
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Tánczos-Szabó, László. "Bács-Kiskun megye térszerkezete és a telekárak (Területi különbségek a társadalom értékítéletében)." Modern Geográfia 16, no. 3 (2021): 57–146. http://dx.doi.org/10.15170/mg.2021.16.03.04.
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Expanding the investigations related to land price analysis, this study demonstrates the territorial aspects of the issue through the example of Bács-Kiskun county enriching the methodology of spatial structure researches. The applied correlation analysis confirmed our assumption that scarcely more than a decade after the change of ownership relations, great differences can be detected among land prices, which reflect the main features of the county’s spatial structure. The land price map of Bács-Kiskun County demonstrates the main features of the spatial structrure and the characteristics of the centre-periphery relationships at municipal level. High land prices are typical in the areas which are rich in innovations and can be characterized with denser texture. Getting farther from them, the land prices become lower. Their temporal changes are also consistent with the interactions taking place in the spatial structure.
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KAWAI, Takashi, Kohji ODA, and Toshiro EDAMURA. "An Analysis of the Urban Land-Price Structure by an Hedonic Land-Price Function." INFRASTRUCTURE PLANNING REVIEW 9 (1991): 269–76. http://dx.doi.org/10.2208/journalip.9.269.
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Rossini, Peter, and Valerie Kupke. "Understanding the short- and long-run relationship between vacant allotment and established house prices." International Journal of Managerial Finance 10, no. 2 (April 1, 2014): 200–217. http://dx.doi.org/10.1108/ijmf-04-2012-0052.
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Purpose – The purpose of this paper is to address a key issue fundamental to the operation of land and housing markets, that is, the relationship between land and house prices. The study identifies possible causation between established house and vacant allotment prices using the metropolitan area of Adelaide, Australia as a case study. Design/methodology/approach – A key outcome of the study is the construction of a Site Adjusted Land Price Index against which a Quality Adjusted House Price Index is compared. Findings – The results show that there is a lagged effect of land prices on house prices and that this is significant at an interval of eight lag periods. The results also imply that the lead lag relationship between established house and vacant allotment prices is not unidirectional. This suggests that, while a change in house prices leads to a change in land prices in the short-run, the long-run position is for increasing land prices to lead to a delayed increase in house prices. Research limitations/implications – Rising house prices do not simply and solely reflect a shortage of land. There are suggested effects both immediate from house to land and delayed from land to house, particularly in a rising market. Originality/value – The lead lag relationships of both indexes are tested using Granger causality estimates to assess whether theoretical Ricardian concepts still hold in a modern urban land market.
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Garang, Zhuoma, Cifang Wu, Guan Li, Yuefei Zhuo, and Zhongguo Xu. "Spatio-Temporal Non-Stationarity and Its Influencing Factors of Commercial Land Price: A Case Study of Hangzhou, China." Land 10, no. 3 (March 19, 2021): 317. http://dx.doi.org/10.3390/land10030317.
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Investigating the characteristics and mechanisms of the spatial and temporal variations of commercial land prices and its major subdivisions has great theoretical and practical significance in the study of urban economy and its spatial refinement management. Unlike general commodity prices, land prices are influenced by geographical location and tend to fluctuate over time. However, most scholars have not explored the influence mechanism of commercial land prices in both time and space. To help bridge this gap, this study takes the sample commercial land prices in the main urban area of Hangzhou from 2006 to 2015 as the empirical research object and investigates the spatiotemporal evolution mechanism of urban commercial land prices through a comparative analysis of the multiple regression analysis (MRA) with ordinary least squares (OLS), the geographically weighted regression (GWR), the temporally weighted regression (TWR), and the geographically and temporally weighted regression (GTWR) models. Results indicate that the land prices of land for financial facilities (Commercial Land Category 1) and commercial-business land (Commercial Land Category 2) in Hangzhou show different spatial and temporal evolutions and are influenced by the common factors of residential land price level (PL), maturity of living services (EN), and plot ratio (FRO) in the district. Meanwhile the main difference between the two influencing factors is the significant difference in sensitivity to locational centrality and industrial structure. Furthermore, we find that the spatial and temporal evolution of commercial land prices has three main mechanism: location selection, point-axis evolution, and function-promoting. Our findings will provide guidelines for scientifically guiding the coordinated development of urban land price and industrial economy and realizing the fine management and allocation of urban spatial resources.
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Ala’uddin, Muhammad, and Mukhtar Syafaat. "TINJAUAN HUKUM ISLAM TERHADAP PRAKTIK JUAL BELI TANAH DI DESA KARANGDORO KECAMATAN TEGALSARI KABUPATEN BANYUWANGI." Jurnal Ekonomi Syariah Darussalam 1, no. 1 (October 3, 2020): 48. http://dx.doi.org/10.30739/jesdar.v1i1.634.
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This study aims to determine the practice and review of Islamic law related to the sale and purchase of land in Karangdoro Village, Tegalsari District, Banyuwangi Regency and to find out. The results obtained from research on the practice of buying and selling land in Karangdoro Village. In buying and selling through a broker, a broker gets 5% of the proceeds from the sale, which percentage has become a local custom or taken from the additional selling price of the land. In addition, it is usually when a land owner asks for the net price of the land sale. After knowing the price asked by the land owner, the realtor will find a buyer and offer the goods. After the broker makes a price agreement with the buyer, the buyer will be brought together with the land owner to make an agreement or agreement. The sale and purchase transaction of land in Karangdoro Village is legal according to the review of Islamic law, because it is in accordance with the terms and conditions of sale and purchase, and the increase in prices made by brokers in selling land is permitted under Islamic law because it has received permission from the land owner.
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Mansyur, Hesty ,., Bobby Vian Jhon Polii, and Charles Reijaaldo Ngangi. "PENGARUH NILAI JUAL OBJEK PAJAK, LUAS KEPEMILIKAN TANAH, DAN HARGA PASAR TANAH TERHADAP NILAI GANTI RUGI TANAH PADA PELAKSANAAN PEMBANGUNAN MANADO OUTER RING ROAD III." AGRI-SOSIOEKONOMI 15, no. 3 (October 17, 2019): 377. http://dx.doi.org/10.35791/agrsosek.15.3.2019.25762.
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This study aims to 1) Analyze the effect of individually of the sale value of the tax object, land ownership area, and land market price on the value of land compensation in land acquisition development Manado outer Ring Road III (MORR III). 2) Analyze the effect jointly between the sale value of tax objects, land ownership area, and land market price on the value of land compensation in the procurement of land for the construction of MORR III. This research was conducted at the construction site (MORR III) from February to October 2019. This research used quantitative descriptive methods. The data collected was primary data and secondary data. Primary data were obtained directly through interviews with key informants namely the Land Procurement Committee for Implementation of MORR III. Secondary data were obtained from the North Sulawesi Land Agency and the Central Statistics Agency. Secondary data is related to Tax Object Selling Value (NJOP) data, Land Ownership Area, Respondents' Livelihoods and Land Compensation Value for the construction of MORR III. The sample selection was done purposevely with a sample of 60 recipients of land compensation. Data Analysis Techniques use 1) Regression Analysis, and 2) Multiple Regression Analysis. The results showed that (1) the Sales Value of Tax Objects or values that showed the average price obtained from a sale and purchase transaction that occurred naturally was positively correlated and significantly affected the value of land compensation determined by the appraisal. Each increased in the Tax Object Sales Value of Rp. 1,000 per m2 will increase the price of compensation by Rp. 540 per m2. The variable area of land ownership owned by the community receiving land compensation in the construction of MORR III has no significant effect on the value of land compensation. An increase in the area of land ownership owned by the people affected by land acquisition for the construction of MORR III only increased the value of land compensation obtained by Rp. 5,840 per m2. Land market price variables or prices that indicated the market value of land were positively correlated and have a significant effect on the value of land compensation determined by the appraisal. Land market price increased of Rp. 1000 per m2 increased the price of land compensation by Rp.1,137 per m2. (2) Variable sale value of tax object, area of land ownership, and land market price indicated 64.0% representation of variables that affected the value of land compensation and jointly have a positive effect on the value of land compensation received by the community land acquisition affected in the construction of MORR III. *eprm*
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Dastagiri, M. B., and L. Bhavigna. "The Theory of Agricultural Price Bubble & Price Crash in Global Economy." Applied Economics and Finance 6, no. 5 (August 21, 2019): 168. http://dx.doi.org/10.11114/aef.v6i5.4464.
Full textAbstract:
Agricultural prices play greater role in living Economics. Since many decades’ farmers faced declining agricultural prices and low prices in developing countries. Therefore, in these countries agricultural price policies are under closer appraisal. Government and policy makers worry about inflation. Economic precision is required in determining prices. This understanding led to conception of the study. The specific objectives are to review various agricultural price theories, research evidences and construct the theory of agricultural price bubble and crash and their effect on macro economy and suggest measures to improve. The study reviews various agricultural price theories, concepts, policies, research gaps and do meta-analysis and formulated the theory of Agricultural prices bubble and price crash. Since 1950, many development economists and practitioners prophesy in developing countries is that low agricultural commodities prices discourage poverty alleviation. Many countries are unable to make successful pricing policies due to there is not enough operative methodological and theoretical support for decision-making. According to the economic theory of cooperativism, the entities come closer to the pecking order theory. Unexpected changes and changes in regulations can have significant impact on the profitability of farming activities. “Demand channel" is the crucial factor in elucidation of commodity price growth. Future prices moments in agriculture have fat-tailed distributions and display quick and unpredicted price jumps. World Trade Organization study highlights the importance of strengthening multilateral disciplines on both import and export trade interventions to food price fluctuations to reduce beggar-thy-neighbor unilateral trade policy. The theory of NAFTA regionalism did not lead to regionalization and not increasing share of intraregional international trade. In EU countries land rents in modern agriculture causing upward trend in agricultural land prices. Information friction, agricultural supports, agricultural price & trade policies, agricultural price transmission are responsible price fluctuations. In economic theory, asymmetric price transmission has been the subject of considerable attention in agricultural gaps. Selection of forecasting models are based on chaos theory. Chaos in agricultural wholesale price data provides a good theoretical basis for selecting forecasting models. This theory can be applied to agricultural prices forecasting. Novelties in agricultural products fluctuations research offer scientific basis in planning of agricultural production.