不同类型房价对城镇化的影响研究 ——来自中国省际面板数据的证据

研究目的：建立房价与城镇化之间关系的逻辑分析框架,探讨不同类型房价对城镇化的作用机理。研究方法：理论分析和面板数据模型相结合。利用2001—2012年中国28个省际面板数据模型进行了实证检验,并分为2001—2005年和2005—2012年前后两个阶段进行比较研究。研究结果：从整个时间跨度来说,住宅价格提高对城镇化水平的提高起抑制作用,且后一阶段影响更为显著;商业用房价格对城镇化发展起到促进作用,但显著性不高,自东向西呈梯度增大趋势;工业用房价格对城镇化的影响较为复杂,前后阶段出现了明显变化,主要是由于后一阶段工业用地市场化和产业梯度转移的结果。研究结论：为实现中国新型城镇化建设的重要任务,需要控制住宅价格水平,商业用房价格无需过多关注。     

住宅投资、要素结构与配置效率——基于北京市各区县的实证研究

研究目的:估算各类资本存量、生产函数要素弹性系数和要素边际报酬率,实证研究住宅价格及其资本存量的内涵型和外延型资源配置机制,考察它们对要素配置效率和全要素生产率扭曲程度的影响。研究方法:理论模型法,面板校正标准误法(PCSE)。研究结果:(1)住宅开发主要通过投资而非价格产生影响,抵押担保效应、要素挤出效应和技术创新效应很显著,其他效应不显著;(2)住宅资本存量对要素配置效率和全要素生产率扭曲的影响也显著,而住宅价格的影响面和显著性都较低。研究结论:住宅资本存量比住宅价格的资源配置效应更强,都恶化了非住宅业资源配置扭曲度。因此,要盘活存量、优化增量和管好总量,完善住宅调控基础性制度安排,科学测度和控制住宅价格及增速。     

基于不同住房属性视角的土地供应规模对房价的影响

研究目的：基于住房消费品和投资品的双重属性视角分析住宅用地供应规模对房地产市场的差异化影响。研究 方法：理论分析、固定效应面板回归模型、门槛回归模型。研究结果：（1）上一年住宅用地供应面积增加 1% 可使当年 住房竣工面积显著增加 0.17%,弱于房地产投资资金对住房竣工面积所产生的 0.25% 的提升作用,该结果一定程度上 验证了住宅用地供应与住房供给之间存在生产函数渠道的影响路径;（2）基于实际房价与租金还原房价的偏离程度测 算,发现不同房地产市场投资热度下,住宅用地供应对房价影响存在双重门槛效应,门槛值分别为 2.05 和 2.92;（3）低 投资热度下,上一年住宅用地供应规模的增加可显著降低当年的房价,而高投资热度下则会起到推高房价的作用。研 究结论：住房作为消费品和投资品,存在不同的价格机制和供求规律。当住房市场以投资品属性为主导时,需求曲线 向上的刚性走势违反了一般的商品需求规律,供给曲线的右移将导致均衡价格越来越高。     

Property rights and housing prices: An empirical study of small property rights housing in Shenzhen,China

Small Property Rights Housing (SPRH) is an important part of informal housing in China. SPRH is defined as housing developed with collective land ownership that is then sold to outside homebuyers such as non-indigenous villagers. This housing practice is legally forbidden and comes without formal titles. SPRH is popular in big Chinese cities where formal housing prices are constantly rising and increasingly unaffordable for many urban residents. However, research on SPRH is rare. Therefore, this study aims to investigate the effects (or the lack thereof) of de-jure property rights on housing prices by using the empirical case of Shenzhen where SPRH and FPRH estates constitute the main sources of urban housing for its residents. We collected both SPRH and formal Full Property Right Housing (FPRH) data in the Shenzhen housing market and adopted the Boundary Fixed Effect method and matching strategy to mitigate the bias caused by unobservable location and neighborhood factors. This empirical study shows that the lack of de-jure property rights has negative and significant effects on housing prices. The average housing price for SPRH apartments is, ceteris paribus, 52.82% lower than for formal FPRH apartments. Also, the premium of property rights varies across two administrative regions with different locations and economic environments, and the premium decreases as the age of the building increases.     

Transaction Cost Thresholds in International Rice Markets

Recent episodes of high and volatile prices for grains such as rice have raised concerns about their implications for hunger and poverty. We model price relationships between international rice prices and 221 domestic prices in 47 developing countries that import rice. We use a threshold vector error correction model that accounts for transaction costs of trade in spatial price transmission, and an improved regularised Bayesian threshold estimator for threshold models. Our results show that threshold values are higher after 2008 than before, which suggests that transaction costs in international rice trade have increased in recent years. Threshold values are highest for Latin American countries followed by African and Asian countries, and higher for retail than for wholesale prices. Since 2008, price transmission is slower in countries that responded to high and volatile prices with domestic market‐based interventions such as price controls and faster in countries that responded by lowering tariffs and by implementing production support measures.     

A social-media-based approach to assessing the effectiveness of equitable housing policy in mitigating education accessibility induced social inequalities in Shanghai,China

Social inequalities induced by education accessibility are widespread and concern land use policy makers globally. Yet much of existing research heavily emphasizes on uncovering the spatial patterns of housing price in relation to education resources. This paper aims to renew our understanding of this classical topic by bringing the importance of temporal and institutional dynamics to the fore. Specifically, this research presents a detailed examination of the relationship between school quality and housing rental dynamics under the intervention of equitable housing policy, with special reference to Shanghai, the most developed megacity in China, also one of the first Chinese cities granting equal rights for renters to access schools within the catchment area. Based on time-series housing rental data collected from social media, the t-test discovers that school quality has a significant impact on housing rental prices after the introduction of this new housing policy. Moreover, housing rental prices within high-quality school districts are significantly higher than those within ordinary school districts. The hedonic model and variance partitioning further confirm that school quality is capitalized into housing rental prices, and its relative contribution varies with temporal periods. More specifically, how the relative contribution of school quality changes over time is consistent with the schedule of primary school enrollment and sensitive to policy intervention. The difference in difference model foregrounds that the equitable housing policy does result in rental prices hike in high-quality school districts, i.e., a 13.5 % rental premium of housings within high-quality school districts compared with those within ordinary ones. We conclude that the equitable housing policy fails to achieve the expected goal and propose alternative suggestions for mitigating social inequalities in education accessibility. This study demonstrates a novel methodological framework for evaluating the social consequence of equitable housing policy based on social media data. It unravels how housing rental changes with school district division and the capitalization effect of school quality in housing rental prices.     

Enhancing food security in South Sudan: the role of markets and regional trade

South Sudan faces serious problems of food insecurity due to low levels of domestic food production, periodic droughts, widespread poverty, and since late 2013, renewed armed conflict. This article explores market price behavior using cointegration analysis and estimates the effects of production and trade shocks through multimarket model simulations. We show that market prices in the capital city, Juba, of both maize and sorghum are cointegrated with import parity prices of these cereals sourced from Uganda, consistent with observed trade flows. Model simulations, using econometrically estimated demand parameters, suggest that private sector imports of maize and wheat would greatly mitigate the potential fall in consumption in the case of a decline in domestic cereal production. Other simulations indicate that if total imports of cereals are reduced by one‐third (still more than two times the levels of food aid in 2013) because of disruptions to private market flows, domestic prices of cereals could rise by 45% or more. The article concludes that whatever measures are taken involving national food security reserves, it is crucial that government policy serves to maintain incentives for private sector imports to avoid destabilizing market supplies, domestic prices, and ultimately, food consumption of the poor.     

Effects of Bovine Spongiform Encephalopathy Outbreaks on U.S. Cattle and Beef Prices

U.S. trade of beef and live cattle declined substantially after the discoveries of bovine spongiform encephalopathy (BSE) in Canada and the United States in 2003. In this study, an econometric model is developed to estimate the effects of lifting trade restrictions on U.S. cattle and beef prices. Results show that increases in imports of Canadian cattle and beef would lower prices of slaughter steers, feeder steers, and retail beef, but these negative impacts would be more than negated by the positive effects on prices that would result if beef exports return to near pre-BSE levels.     

Price and quantity adjustment in a dual character market The case of the Greek poultry sector

In this paper we set up, estimate and test a short-run model for the poultry sector in Greece. The model allows for the simultaneous existence of a monopolistically competitive and a competitive segment, and determines producer and consumer prices, and the quantity consumed. We provide evidence on steady-state parameters such as demand and supply elasticities, as well as on speeds of adjustment of prices and quantities. The evidence suggests that adjustment is very rapid, although quantities appear to be adjusting more quickly than prices. The model is used to examine the dynamics of adjustment to demand and supply-side disturbances.     

Inventories and Public Information in Private Negotiation: A Laboratory Market Study

Using laboratory markets, this research investigates the impacts of reporting different kinds of aggregated trade information to buyers and sellers who conduct transactions through bilateral/private negotiation. There are a limited number of bargaining rounds or matches between buyer and seller pairs. Sellers hold a perishable inventory before negotiations begin. We find that knowledge of trades, along with price, improves the coordination and bargaining position of buyers. Trade prices are lower and buyer earnings are higher, relative to the no-information treatment or when just-past quantities or just-past prices are reported. Market efficiency declines as public information is reported.     

House price determinants in Athens: a spatial econometric approach

In this paper, we try to identify the price determinants in the biggest real estate market of Greece, the metropolitan area of Athens. For that purpose, various spatial econometric models are used to explore their prediction ability and we are displaying the variations in property prices for the wider area of Athens. These models have been compared based on different criteria such as model fit, the Akaike information criterion and variance of the residuals. Our results indicate that, in our case, the spatial general model is the most appropriate simultaneous autoregressive model when dealing with spatially autocorrelated prices of housing properties data, in terms of our selection criteria.     

杭州市住宅价格空间分异:基于特征价格的两维度分析

研究目的:从特征价格的视角,构建城市住宅价格空间分异的两维度分析框架,并对杭州市住宅市场进行实证研究。研究方法:文献资料法和计量分析法。研究结果:住宅特征对住宅价格影响程度的差异性以及住宅特征空间分布的不均匀性,导致了住宅价格的空间分异。研究结论:基于特征价格模型的分析框架是有效且合理的。     

Capitalised nonmarket benefits of multifunctional water-sensitive urban infrastructure: A case of living streams

Living streams are an important element of decentralised stormwater management solutions. They are actively promoted due to their ability to generate multiple ecosystem services, including water quality improvement, biodiversity protection and aesthetics. However, a lack of monetised values of ecosystem services of living stream projects makes it difficult to assess the net benefits of investing in such projects. This study uses the hedonic pricing method to estimate the capitalised amenity values of living streams and other public open spaces (POS) in housing and lot markets for the first time. The study area includes two newly greenfield-developed suburbs in the Perth metropolitan area. We find the positive impact of living streams and other POS on the house and lot prices. However, living streams generate greater value than other types of POS. Furthermore, the POS (including living streams) that support active recreation are valued more than basic POS without active recreation features. Finally, we observe, for the first time, that the benefits of planned but not yet constructed POS (including living stream) are similar to the completed POS (including living stream) in both housing and lot markets. This information is useful for policymakers and developers making informed decisions about water-sensitive urban infrastructure.     

How Firms Construct Price Changes: Evidence from Restaurant Responses to Increased Minimum Wages

We use price data underlying the Consumer Price Index to assess how restaurants, whose prices are generally quite sticky, respond to minimum wage increases. Aggregate prices rise, quickly, by amounts reflecting the increase in costs, and they rise more among fast food outlets and in low-wage locations. But restaurants do not construct price increases by raising all their prices by amounts reflecting the increase in wages. Instead, they raise only some prices, but by larger amounts. Prices at cluster points are less likely to be changed, and prices that were recently increased (decreased) are less (more) likely to be raised.     

Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density

The issue of what to promote in total factor productivity (TFP) in urban areas has been widely discussed in academia and housing prices and population density are confirmed to be two of the most essential driving factors. However, research into the interaction of housing prices and population density with TFP has been neglected, with no previous studies taking spatial factors into consideration, which may bias the results. From this perspective, using spatial panel data models and employing instrumental variables to solve the endogenous problem, this study examines the impact of housing prices on TFP through the mediating effect of population density for 283 Chinese cities during the period 2000–2013, and confirms that the mediating effect accounts for 18.70 % of the total effect. The results show the positive and significant association of housing prices with TFP and the inverted U-shape of population density. The underlying logic is that housing prices change population density by attracting people with high purchasing power and discouraging those unable to afford housing, whereas increased density helps to promote productivity since the settled inhabitants always have highly developed work skills and are well educated. The influencing mechanism of housing prices on TFP through population density is analyzed, namely the spillover effect. We find that the spillover effect exists in the eastern and central regions, as well as first, second, and third tier cities, while for western regions and fifth tier cities, population mobility and increased in housing prices slows their economic development. There is no evidence of any spillover effect in fourth tier cities. A discussion and suggested policy implications are also provided.     

Estimating shadow price for symbiotic nitrogen and technical efficiency for legume‐based conservation agriculture in Malawi

Determining the value of legumes as soil fertility amendments can be challenging, yet this information is required to guide public policy and to incentivise prescribed land‐management practices such as conservation agriculture. We use a directional input distance function (DIDF) to estimate shadow prices for symbiotic nitrogen and the technical efficiency for mixed maize‐legume production systems in Malawi. The shadow prices reflect the trade‐off between fertiliser nitrogen and symbiotic nitrogen required to achieve a given quantity of output. Our results reveal considerable technical inefficiency in the production system. The estimated shadow prices vary across farms and are, on average, higher than the reference price for commercial nitrogen. The results suggest that it would be beneficial to redesign the current price‐support programs that subsidise chemical fertilisers and indirectly crowd‐out organic soil amendments such as legumes.     

The Extent, Pattern, and Degree of Market Integration: A Multivariate Approach for the Brazilian Rice Market

The extent, pattern, and degree of integration are analyzed in a multivariate system with cointegrating restrictions. The extent of the market is found by identifying locations that are linked by trade and where prices share identical long run information (permanent component). The pattern of integration characterizes interdependence and is analyzed by estimating a vector error correction model. The degree of integration is calculated with persistence profiles of the long run relations. We demonstrate that bivariate models are inadequate for capturing the spatial dynamics of price adjustment. The methodology is applied to the Brazilian rice market and policy implications are discussed.     

Forecasting housing land requirements

Summary

Because of pressures on the countryside by private housing development, the Government and the planners have become increasingly involved in planning policy issues and in forecasting land requirements. The forecasting techniques used are examined, and their translation into local allocations through structure and local plans and land availability studies are looked at. The demand for more land releases is attributed more to structural changes in the housebuilding industry and local land shortages in the south‐east than to real shortfalls in housing provision. There is a need for improved monitoring systems for land resource management, particularly in balancing ‘green‐field’ releases against development/redevelopment in existing urban areas.     

An Analysis of Removal of Agricultural Trade Barriers between the United States and Canada with Emphasis on the Southeast

A four-region, 23-commodity small world agricultural trade liberalization model within the SWOPSIM framework is used to measure the impact of tariff removal between the United States and Canada. The tariffs are simply defined as negative import subsidy equivalents in the model and are then removed from the trade prices. The model recalculates domestic supply and demand levels in all regions, rebalancing world trade, production, consumption and prices. In summary, the impacts of the Canada-U.S. Trade Agreement on selected commodity groups are significant. Canadian imports of beef and veal, poultry meat, soybean oil and fresh strawberries increase. Furthermore, the results indicate larger trade flows for selected products and declines in producer and consumer prices in Canada, U.S. and Southeast regions. Since the U.S. share of Canadian agricultural imports averaged 60% in the 1980s, the impact of trade liberalization will be greater in Canada in selected commodities than in the U. S. or the southeastern region, and Canadian dependence on the U.S. market will be increasing in the future. The tariff phaseout, together with a reduction in nontariff barriers and harmonizing of domestic agricultural policies, will create more export opportunities in selected commodities for both the United States and Canada, and will create the world's largest free trade market.     

Higher fuel and food prices: impacts and responses for Mozambique

Rising world prices for fuel and food represent a negative terms‐of‐trade shock for Mozambique. The impacts of these price rises are analyzed using various approaches. Detailed price data show that the world price increases are being transmitted to domestic prices. Short‐run net benefit ratio analysis indicates that urban households and households in the southern region are more vulnerable to food price increases. Rural households, particularly in the North and Center, often benefit from being in a net seller position. Longer‐term analysis using a computable general equilibrium (CGE) model of Mozambique indicates that the fuel price shock dominates rising food prices from both macroeconomic and poverty perspectives. Again, negative impacts are larger in urban areas. The importance of agricultural production response in general and export response in particular is highlighted. Policy analysis reveals difficult trade‐offs between short‐run mitigation and long‐run growth. Improved agricultural productivity has powerful positive impacts, but remains difficult to achieve and may not address the immediate impacts of higher prices.