No abstract

Agricultural land use in Europe has changed considerably in the last decades. However, our understanding of agricultural land use changes, especially changes in land use intensity, is limited because the evidence is fragmented. This paper presents a systematic review of case study evidence on manifestations and underlying drivers for agricultural land use change in Europe. We analyzed 137 studies that together report on 76 cases of intensification and 143 cases of disintensification. Observed changes were manifested as expansion or contraction of agricultural land as well as in changes of land management intensity, landscape elements, agricultural land use activity, and specialization/diversification. Economic, technological, institutional and location factors were frequently identified as underlying drivers, while demographic drivers and sociocultural drivers were mentioned less often. In addition, we found that farmers were very important as moderators between underlying drivers and manifestations of agricultural land use change. Farmer decisions differed between different farmer types, and according to their characteristics and attitudes. We found major land use change trajectories in relation to globalization of agricultural markets, the transition from a rural to an urban society, and the shift to post-socialism in central and eastern Europe.

We are grateful to an anonymous referee of this journal for useful and stimulating comments on an earlier version of this paper. Furthermore, we thank Silvia Stiller and participants of the ERSA 2003 conference for comments on an earlier draft.

Railway stations function as nodes in transport networks and places in an urban environment. They have accessibility and environmental impacts, which contribute to property value. The literature on the effects of railway stations on property value is mixed in its finding in respect to the impact magnitude and direction, ranging from a negative to an insignificant or a positive impact. This paper attempts to explain the variation in the findings by meta-analytical procedures. Generally the variations are attributed to the nature of data, particular spatial characteristics, temporal effects and methodology. Railway station proximity is addressed from two spatial considerations: a local station effect measuring the effect for properties with in 1/4 mile range and a global station effect measuring the effect of coming 250 m closer to the station. We find that the effect of railway stations on commercial property value mainly takes place at short distances. Commercial properties within 1/4 mile rang are 12.2% more expensive than residential properties. Where the price gap between the railway station zone and the rest is about 4.2% for the average residence, it is about 16.4% for the average commercial property. At longer distances the effect on residential property values dominate. We find that for every 250 m a residence is located closer to a station its price is 2.3% higher than commercial properties. Commuter railway stations have a consistently higher positive impact on the property value compared to light and heavy railway/Metro stations. The inclusion of other accessibility variables (such as highways) in the models reduces the level of reported railway station impact.

No abstract