Researching the relationship between economic liberalization and changes to land markets and land prices: the case of Conakry, Guinea, 1985–91

2020 ◽  
Vol ahead-of-print (0) ◽  
pp. 1-21
Author(s):  
Michael Ball ◽  
Edward Shepherd ◽  
Pete Wyatt

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.


2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Luiz Batista Alves

A proposta básica deste trabalho é tentar compreender como se dá a expansão de fronteiras no estado de Goiás verificando as relações entre o preço da terra e as variáveis de padrão tecnológico - terras irrigadas, número de tratores, investimentos, dentre outras. Realizou-se uma análise das correlações entre as variáveis preço da terra de pastagem e agrícola e as variáveis que compõem o nível de padrão tecnológico, chegando-se à conclusão de que a variação nos preços da terra não está associada à modificação da estrutura do nível de padrão tecnológico em função do baixo coeficiente de correlação encontrado. Isso pode ter ocorrido, talvez, por uma forte especulação de terras no território, pois a antiga região de fronteira foi se tornando saturada impedindo novas ocupações ou assentamentos. Palavras-chaves: Frente de expansão, frente pioneira, renda diferencial, padrão tecnológico, coeficiente de correlação.Abstract: The main purpose of this paper is to try to understand as how occurs the borders expansion in the state of Goiás showing the relationship between land price and the variables of technological standard, as irrigated lands, tractors number and investments among others. It has been done an analysis of correlations among variables as cattle and agricultural land price and composing variables of the level of technological standard, structure modification of technology standard, as function of low coefficient of found correlation. It could occurred, maybe, by a strong speculation of land prices in this area, as the ancient border region was been saturated obstructing new occupations and settlements. Key Words: Expansion front, pioneer front, differential income, technological standard, correlation coefficient.


2010 ◽  
Vol 64 (2) ◽  
pp. 339-356 ◽  
Author(s):  
Caroline A. Hartzell ◽  
Matthew Hoddie ◽  
Molly Bauer

AbstractPrevious studies that have explored the effects of economic liberalization on civil war have employed aggregate measures of openness and have failed to account for potential endogeneity bias. In this research note, we suggest two improvements to the study of the relationship between liberalization and civil war. First, emphasizing that it is processes that systematically create new economic winners and losers rather than particular levels of economic openness that have the potential to generate conflict, we consider the effects of one oft-used means of liberalizing economies: the adoption by countries of International Monetary Fund (IMF) structural adjustment programs. Second, we use a bivariate probit model to address issues of endogeneity bias. Analyzing all data available for the period between 1970 and 1999, we identify an association between the adoption of IMF programs and the onset of civil war. This finding suggests that IMF programs to promote economic openness unintentionally may be creating an environment conducive to domestic conflict.


2019 ◽  
Vol 14 (4) ◽  
pp. 374-382 ◽  
Author(s):  
Elizabeth A. Dobis ◽  
Neil Reid ◽  
Claudia Schmidt ◽  
Stephan J. Goetz

AbstractHop production has expanded dramatically in recent years along with the number of local craft breweries, but to date the relationship between these two phenomena has not been explored systematically. Using a state-level pooled count data model with observations from 2007, 2012, and 2017, we examine the independent lagged effects of breweries on the number of hop farms and acres grown, holding constant fixed effects and key economic and geographic factors. Our results confirm that the number of breweries is associated with more hop production (farms and acres) five years later, while warmer temperatures and higher land prices discourage it. (JEL Classifications: L66, Q11, R30)


2021 ◽  
Vol 5 (1) ◽  
pp. 473-479
Author(s):  
Sawitri Subiyanto ◽  
Hana Sugiastu Firdaus ◽  
Nahar Dito Utama Giardi

The price of land is an important matter that needs to be assessed by stakeholders. The study of land prices has an important role in seeing the stability of the property market. Several factors affect the property business such as accessibility, public facilities and social facilities. Utan Kayu Selatan is the largest village in Matraman Sub-District with an area of ​​1,12 kilometers. The potential of the property business is very tempting for investors to property developers. One of the economic sector developments is Utan Kayu Raya Road, which can increase land prices in the surrounding area. The factors that influence land prices can be analyzed through several approaches such as regression, mass appraisal and other. In this study, the method used in estimating land prices is the Radial Basis Function (RBF), by looking at the relationship between the distance of plot to roads, public facilities and social facilities. Modeling is carried out based on samples determined on ZNT and NJOP land prices. Furthermore, the calculation of the distance is done by using network analysis. As a result, the RMSE value for the NJOP RBF model and the ZNT RBF model is IDR 1.179.839 and IDR 2.972.345. Meanwhile, the CoV values ​​for both models were 6.2% and 6%. In the comparison of ZNT price predictions with market prices, the highest difference is IDR 13.119.915 and the lowest difference is IDR 537.009. While on the NJOP price prediction, the highest difference is IDR 15.797.583 and the lowest difference is IDR 291.270.


2017 ◽  
Vol 47 (3) ◽  
pp. 603-622
Author(s):  
Néstor Garza

This article assesses the neutrality of Captura de Plusvalía, a land value capture policy implemented in Bogotá (Colombia) in 2004. The case offers a rare opportunity for assessment because the policy application had a scattered spatial and temporal structure but on an urban agglomeration ruled by a single master plan and revenue collecting authority. The analysis reveals that (a) the relationship between value capture and prices is negative (static neutrality); (b) this result holds under various spatial specifications and controls; (c) the policy is not endogenous to the built output or the spatial distribution of the land prices; and (d) there is no evidence of preemption, a theoretical feature where landowners consider that the policy onset represents a regulatory taking, compelling them to accelerate developing timing (dynamic neutrality).


2021 ◽  
Vol 4 (2) ◽  
pp. 85-92
Author(s):  
Bal Krishna Man Singh ◽  
Bishwambher Paykuryal

The economic liberalization can contribute in the economic growth of a country. So, Nepal has been following the policy of economic liberalization since the mid-1980s which was accelerated with the start of 1990s. The study was conducted to identify the impact of economic liberalization on economic growth of industries running in the Butwal area of Nepal. The study had selected 385 respondents from industry, trade and banking sectors. The simple random sampling technique was used to select the respondents. Statistical analysis was done to see the relationship between the respondents. The result shows that there was significant association between the respondents (industrialists, traders, and bankers) in effectiveness of economic liberalization because the p value was less than .05 significant levels. Some of the economic indicators were not changed significantly so future researcher can study on the challenges in effective implementation of economic liberalization in Nepal.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marlene Kionka ◽  
Martin Odening ◽  
Jana Plogmann ◽  
Matthias Ritter

PurposeLiquidity is an important aspect of market efficiency. The purpose of this paper is threefold: first, this paper aims to discuss indicators that provide information about liquidity in agricultural land markets. Second, this paper aims to reflect on determinants of market liquidity and analyze the relationship with land prices. Third, this paper aims to conduct an empirical analysis for Germany that illustrates these concepts and allows hypothesis testing.Design/methodology/approachThis study reviews liquidity dimensions and measurement in financial markets and derives indicators applicable to farmland markets. In an empirical analysis, this study exhibits the spatial and temporal variability of land market liquidity in Lower Saxony, a German federal state with the highest agricultural production value. This study uses a rich dataset that includes 72,547 sale transactions of arable land between 1990 and 2018. The research focuses on volume-based (number of transactions, volume and turnover) and time-based (trading frequency and durations) measures. A panel vector autoregression and Granger causality tests are applied to investigate the relation between land turnover and land prices.FindingsThe paper confirms the thinness of farmland markets but also reveals regional and temporal heterogeneity of land market liquidity. This study finds that the relation between market liquidity and prices is ambiguous. This study concludes that a high demand from expanding farms absorbs supply shocks regardless of the current price level in agricultural land markets.Originality/valueEven though the relevance of agricultural land markets’ thinness is widely acknowledged in the literature, this paper is one of the first attempts to measure liquidity in agricultural land markets and to explain its relationship with land prices.


1978 ◽  
Vol 10 (2) ◽  
pp. 143-150 ◽  
Author(s):  
William J. Vollink

Per acre land prices are observed to vary from one sale to the next. Reynolds and Timmons found that differences in land prices could be partially explained by net farm income, government farm programs, technological advance, farm enlargement, pressure from an increasing population, and capital gains. Other studies identified tobacco and peanut allotments and spatial shifts of industrial and urban development as major factors affecting differences in land prices. An additional factor which has not been addressed fully in the literature is the relationship between the lending agency which finances the land sale and the per acre sale price of the land. Identification of the magnitude of the relationship between the foregoing and other factors and bare land prices may provide useful information to policymakers and land appraisers. For example, policymakers could determine the impact on per acre land prices of altering the size of per acre flue-cured tobacco allotments. Appraisers could adjust the price of a recently observed land sale to reflect an expected market value for characteristics of the property being appraised.


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