Institutional Factors Affecting Agricultural Land Markets. Factor Markets Working Paper No. 16, February 2012

This paper analyses the main institutional factors affecting the rental and sales markets for agricultural land. Particular attention is paid to the effects of the common agricultural policy on land markets, and more specifically the underlying mechanism through which agricultural subsidies are capitalised into land values and farmland rents. This paper also provides a broad overview of the empirical studies that estimate the impact of agricultural support policies on land rents and land prices. Various other fundamental factors that affect agricultural land markets are discussed, such as land market institutions and regulations, transaction costs, credit market constraints and levels of profitability, the legal means of contract enforcement and land use alternatives.

The Role of Environmental and Land Transaction Regulations on Agricultural Land Price: The example of Brittany. Factor Markets Working Document No. 52, June 2013

Using data from individual transactions for the period 1994-2010 in the French NUTS2 region Brittany, the authors investigated how environmental regulations and transaction land regulations influence the price of sold plots. Regressions on three sub-samples of buyers were performed in order to assess whether different buyers have different attitudes or plans regarding the farmland purchased: a sub-sample including only farmer-buyers, a sub-sample including non-farmer individual buyers, and a sub-sample including non-farmer non-individual buyers. Estimations were performed ignoring and accounting for spatial interactions (model SARAR). Results indicate that the price of land decreases when buyers are farmers, that the nitrate surplus area zoning increases the price of land, even more so for farmer-buyers. Regarding land transaction regulations, there is a negative effect, on land price, of the purchaser being the current tenant or being the land regulating public body SAFER. Estimating the model on different sub-samples depending on the buyers’ type shed light on the factors that are more important for each buyer.

Interconnector Investment for a Well-Functioning Internal Market: What EU regime of regulatory incentives? Bruges European Economic Research (BEER) Papers 18/October 2010

Sufficient cross‐border electricity transmission infrastructure is a pre‐requisite for a functioning European internal market for electricity. Also, the achievement of the EU’s energy policy objectives – sustainability, competitiveness and security of supply – critically depends on adequate investment in physical interconnections between the member states. Mainly focusing on the “regulatory path”, this paper assesses different ways to achieve a sufficient level of interconnector investment. In a first step, economic analysis identifies numerous impediments to interconnector investment adding up to an “interconnector investment failure”. Reflecting on the proper regulatory design of an EU framework able to overcome the interconnector investment failure, a number of recommendations are put forward:  All congestion rents should be channeled into interconnector building. Unused rents should be transferred to a European interconnector fund supervised by an EU agency.  Even though inherently sub‐optimal, merchant transmission investment can be used as a means to put pressure on regulated transmission system operators (TSO) that do not deliver. An EU agency should have exclusive competence on merchant interconnector exemptions.  A European TSO organization should be entrusted with supra‐national network planning, supervised by an EU agency.  The agency should decide on investment cost reallocation for interconnector projects that yield strong externalities. Payments could be settled via a European interconnector fund.  In case of non‐compliance with the supra‐national network plan, the EU agency should have the right to organize a tender – financed by the European interconnector fund – in order to get the “missing link” built. Assessing the existing EU regulatory framework, the efforts of the 2009 “third energy package” to fill the “regulatory gap” with new EU bodies – ACER and ENTSO‐E – are acknowledged. However, striking holes in regulatory framework are spotted, notably with regard to the use of congestion rents, interconnector cost allocation, and the distribution of decision making powers on new infrastructure exemptions A discussion of the TEN‐E interconnector funding scheme shows that massive funding can be an interim solution to the problem of insufficient interconnection capacities while overcoming the political deadlock on sensible regulatory topics such as interconnector cost allocation. The paper ends with policy recommendations.

Empirical Evidence of the Distributional Effects of the CAP in the New EU Member States. Factor Markets Working Document No. 58, August 2013

This study, carried out in the context of the Factor Markets research project, investigates the impact of the SAPS (Single Area Payment Scheme) on farmland rental rates in the new EU member states. Using a unique set of farm level panel data with 20,930 observations for 2004 and 2005 we are able to control for important sources of endogeneity. According to our results, the SAPS has a positive and statistically significant impact on land rents in the EU. However, the estimated incidence is smaller than predicted theoretically. Land rents capture only 19 cents of the marginal SAPS euro, and around 10% of the SAPS benefit non-farming landowners through higher farmland rental prices. As the share of rented land is higher in corporate farms than individual ones, family farms benefit more from the SAPS than corporate farms do.

The Impact of CAP Reforms on Farm Labour Structure. Factor Markets Working Document No. 63, August 2013

The labour force engaged in the agricultural sector is declining over time, and one can observe the reallocation of labour from family members to hired workers. Using farm-level data, this paper analyses the on-farm labour structure in Greece and assesses the factors driving its evolution over the period 1990-2008. The impact of agricultural policies and farm characteristics is examined in a dynamic panel analysis. Family and hired labour are found to be substitutes rather than complements, while agricultural support measures appear to negatively affect demand for both family and hired labour. Decoupled payments and subsidies on crops are found to have a significant impact on both sources of labour, as well as subsidies for rural development that do not favour on-farm labour use. The paper also finds that structural labour adjustments are the result of farm characteristics, such as farm size and location. The results are robust to various estimation techniques and specifications.

Switching Axial Progenitors from Producing Trunk to Tail Tissues in Vertebrate Embryos

The vertebrate body is made by progressive addition of new tissue from progenitors at the posterior embryonic end. Axial extension involves different mechanisms that produce internal organs in the trunk but not in the tail. We show that Gdf11 signaling is a major coordinator of the trunk-to-tail transition. Without Gdf11 signaling, the switch from trunk to tail is significantly delayed, and its premature activation brings the hindlimbs and cloaca next to the forelimbs, leaving extremely short trunks. Gdf11 activity includes activation of Isl1 to promote formation of the hindlimbs and cloaca-associated mesoderm as the most posterior derivatives of lateral mesoderm progenitors. Gdf11 also coordinates reallocation of bipotent neuromesodermal progenitors from the anterior primitive streak to the tail bud, in part by reducing the retinoic acid available to the progenitors. Our findings provide a perspective to understand the evolution of the vertebrate body plan.

1990 sustainable agriculture demonstration grant program results /

"March 1991."

Final report /

The Smart Growth Task Force was formed by the Illinois House of Representatives to examine the problems resulting from the rapid loss of prime Illinois farmland to suburban sprawl and to identify solutions.

Portland’s Urban Growth Boundary and Lessons for Shanghai and Suzhou-Wuxi-Changzhou Urban Agglomeration, China

Thesis (Master's)--University of Washington, 2016-06

Structure repair of a compacted vertisol with wet-dry cycles and crops

We hypothesized that the four rotation crops: wheat (Triticum aestivum L.), sorghum [Sorghum bicolor (L.) Merr.], lablab [Lablab purpureus (L.) Sweet] and mung bean [ Vigna radiata (L.) R. Wilczek] differ in their ability to repair soil structure. The study was conducted on a Typic Haplustert, Queensland, Australia, locally termed a Black Earth and considered a prime cropping soil. Large (0.5-m depth by 0.3-m diam.) soil cores, collected from compacted wheel furrows in an irrigated cotton (Gossypium hirsutum L.) field, were subjected to three, six, or nine wet-dry cycles that simulated local flood irrigation practices. After each cycle, soil profiles were sampled for clod bulk density, image analysis of soil structure, and evapotranspiration. Generally, all crops improved soil structure over the initial field condition but lablab and mung bean gave improvements to greater depths and more rapidly than wheat and sorghum. Mung bean and lablab caused up to a threefold increase in clod porosity in the 0.1- to 0.4-m soil layer after only three wet-dry cycles, whereas sorghum required nine wet-dry cycles to increase clod porosity in only the 0.2- to 0.3-m layer, and wheat gave no improvement even after nine wet-dry cycles. Image analysis of soil structure showed that lablab and mung bean rapidly (by three wet-dry cycles) produced smaller peds with more interconnected pore space than wheat and sorghum. By nine wet-dry cycles, sorghum achieved deep cracking of the soil but the material between the cracks remained large and dense. Evapotranspiration was double under lablab and mung bean compared with wheat and sorghum. Our results indicate greater cycles of wetting and drying under lablab and mung bean than wheat and sorghum that have led to rapid repair of soil compaction.

Incorporating level set methods in Geographical Information Systems (GIS) for land-surface process modelling

Land-surface processes include a broad class of models that operate at a landscape scale. Current modelling approaches tend to be specialised towards one type of process, yet it is the interaction of processes that is increasing seen as important to obtain a more integrated approach to land management. This paper presents a technique and a tool that may be applied generically to landscape processes. The technique tracks moving interfaces across landscapes for processes such as water flow, biochemical diffusion, and plant dispersal. Its theoretical development applies a Lagrangian approach to motion over a Eulerian grid space by tracking quantities across a landscape as an evolving front. An algorithm for this technique, called level set method, is implemented in a geographical information system (GIS). It fits with a field data model in GIS and is implemented as operators in map algebra. The paper describes an implementation of the level set methods in a map algebra programming language, called MapScript, and gives example program scripts for applications in ecology and hydrology.

BM+-tree: A hyperplane-based index method for high-dimensional metric spaces

In this paper, we propose a novel high-dimensional index method, the BM+-tree, to support efficient processing of similarity search queries in high-dimensional spaces. The main idea of the proposed index is to improve data partitioning efficiency in a high-dimensional space by using a rotary binary hyperplane, which further partitions a subspace and can also take advantage of the twin node concept used in the M+-tree. Compared with the key dimension concept in the M+-tree, the binary hyperplane is more effective in data filtering. High space utilization is achieved by dynamically performing data reallocation between twin nodes. In addition, a post processing step is used after index building to ensure effective filtration. Experimental results using two types of real data sets illustrate a significantly improved filtering efficiency.