This paper considers the problem of model uncertainty associated with variable selection and specification of the spatial weight matrix in spatial growth regression models in general and growth regression models based on the matrix exponential spatial specification in particular. A natural solution, supported by formal probabilistic reasoning, is the use of Bayesian model averaging which assigns probabilities on the model space and deals with model uncertainty by mixing over models, using the posterior model probabilities as weights. This paper proposes to adopt Bayesian information criterion model weights since they have computational advantages over fully Bayesian model weights. The approach is illustrated for both identifying model covariates and unveiling spatial structures present in pan-European growth data.
In the last few years research on regional development has increased dramatically. Real-world concerns have - to a certain extent - driven this scientific concern of interest. The field has been given a big boost in particular by the process of European integration and the attempt to understand how this deeper integration will work at the regional level. This volume makes a modest attempt to reconsider the issue of regional development mainly from an European perspective and in the light of the transition of society towards a knowledge-driven economy. It originated from the Thirteenth European Advanced Studies Institute in Regional Science, held in Istanbul, July 2-8, 2000. In producing the book, as friends and colleagues, we have benefited from the possibility of exchange of ideas and experience. We have also received useful assistance from the referees who have offered observations and advice in their written reports. The soundness of their comments has contributed immensely to the quality of the volume. We should, in addition, like to acknowledge the timely manner in which contributing authors have responded to our requests, and their willingness to follow the stringent editorial guidelines.
This paper employs a spatial Durbin model for analyzing the impact of human capital on regional productivity using for 198 NUTS-2 European regions for the sample period from 1995 to 2004. The study provides evidence for the existence of spatial externalities and interactions of the sort as emphasized by new growth theory. To interpret results meaningfully, we calculate summary measures that account for the simultaneous feedback nature of the underlying model. By sampling from the parameter distribution we present measures of dispersion, revealing that it is relative regional advantages in human capital that matter most for productivity growth.
Radiosynoviorthesis (RSO) is a local radionuclide therapy of inflammatory joint diseases, successfully performed since several decades mainly as an outpatient-protocol in ambulatory health care centers or nuclear medicine practices. Despite of long-term experience in some centers, only very few valuable or comparable data about the procedure itself and/or the clinical results of this treatment are available. The aim of this online survey is to assess reliable data of the current status in Germany. A web-based questionnaire was designed to evaluate the status of RSO in Germany including demographic data, training, pretherapeutic diagnostics, clinical procedures, and follow-up. The survey was distributed via the supplier of RSO-nuclides, national nuclear medicine societies, and personal networks. It was available for 28 days and closed on November 30, 2020. A total of 78 specialists in nuclear medicine answered the questionnaire, which corresponds to a response rate of 23 %. Several differences and concordances in pre-therapeutic diagnostics, in the procedure of RSO itself, and follow-up were documented in this survey for the first time. Most important, less than 70 nuclear medicine specialists in Germany perform more than 75 % of all RSO-procedures and most of them are older than 50 years of age. This implies the urgent need of a dedicated advancement of young academics in nuclear medicine and a professional advanced training in RSO to offer this beneficial treatment to future patients. To achieve these goals, an association of RSO experts would be useful, through which, among other things, an RSO training curriculum is developed and theoretical and practical trainings are organized. Moreover, possible cooperation agreements between ambulant and inpatient institutions would foster the education of young nuclear medicine specialists interested in RSO. Die Radiosynoviorthese (RSO) ist eine seit Jahrzehnten eingeführte nuklearmedizinische Lokalbehandlung entzündlicher Gelenkerkrankungen, die überwiegend ambulant in nichtuniversitären Einrichtungen durchgeführt wird. Trotz umfangreicher Erfahrungen in einzelnen Institutionen gibt es kaum fassbare oder vergleichbare Daten über die Durchführung und/oder Erfolge dieser Therapie. Ziel der Untersuchung war es, möglichst belastbare Daten zur RSO in Deutschland zu erhalten. Es wurde ein webbasierter Fragebogen eingesetzt. In ihm wurden demografische Daten, Ausbildung/Erlernen der RSO, prätherapeutischer Diagnostik, klinischer Verfahren und Follow-up abgefragt. Die Umfrage stand 28 Tage lang zur Verfügung und wurde am 30. November 2020 geschlossen. Insgesamt 78 Fachärzte für Nuklearmedizin beantworteten den Fragebogen, was einer Rücklaufquote von 23 % entspricht. Neben den hier erstmals dokumentierten Unterschieden und Übereinstimmungen bei prätherapeutischer Diagnostik, Durchführung und Nachsorge der RSO zeigt sich, dass weniger als 70 Fachärzte in Deutschland mehr als 75 % aller RSO-Behandlungen durchführen, und dass diese meist älter als 50 Jahre sind. Hieraus ergibt sich die Notwendigkeit einer verstärkten Nachwuchsförderung, um dieses hilfreiche Therapieverfahren auch in Zukunft den Patienten anbieten zu können. Zum Erreichen dieser Ziele ist ein Zusammenschluss von RSO-Experten sinnvoll, durch die unter anderem ein Ausbildungs-Curriculum RSO erarbeitet wird sowie Fortbildungen und Hospitationsmöglichkeiten organisiert werden. Darüber hinaus wären auch ambulant-stationäre Kooperationsmodelle im Rahmen der Facharztausbildung denkbar.
No abstract is provided for this article.
The effects of subjective decisions, particularly in the case of regional taxonomic methodology are often underestimated. Therefore the aptitude of alternative methods needs more careful evaluation. Comparisons of competing methods would provide important guidelines. A general evaluative approach based upon the discrepancy between the original resemblance and the derived cophenetic matrix is outlined for the hierarchic regional taxonomic case. Five main aggregative linkage strategies are appraised by means of quantitative measures. Furthermore two iterative non-hierarchic methods are compared for handling non-hierarchic regional taxonomic problems, where particular attention is paid to the influence of different initial partitions upon the (sub) optimal result.
The Handbook of Regional Science is a multi-volume reference work providing a state-of-the-art knowledge on regional science composed by renowned scientists in the field. The Handbook is intended to serve the academic needs of graduate students, and junior and senior scientists in regional science and related fields, with an interest in studying local and regional socio-economic issues.The multi-volume handbook seeks to cover the field of regional science comprehensively, including areas such as regional housing and labor markets, regional economic growth, innovation and regional economic development, new and evolutionary economic geography, location and interaction, the environment and natural resources, spatial analysis and geo-computation as well as spatial statistics and econometrics.
Drug Prescribing for Patients with Chronic Kidney Disease in General Practice: a Cross-Sectional Study
Veronica fridericae spec. nova, described from the type locality in the S.E. Turkish province Van, is related toV. acrotheca andV. farinosa, both endemic t
Spatial interaction models of the gravity type are widely used to model origin-destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterise an origin region of a flow, variables that characterise a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction-based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches.
. The aim of this study is to check the validity of luminescence ages obtained from last glacial–interglacial Polish loess palaeosol sequences (LPSs) by several established current protocols, with respect to sound geomorphological and chronostratigraphic interpretations. We report 38 new optically stimulated luminescence (OSL) ages from fine-grained (4–11 µm) quartz separates extracted from four loess palaeosol sequences in Poland, measured in the Bayreuth Luminescence Laboratory, Germany. The investigated sections are situated in Lower Silesia in the southwest (Zaprężyn, Trzebnica Hills, and Biały Kościół, Strzelin Hills), the Sandomierz Upland (Złota) in central Poland, and the Volhynian Upland (Tyszowce) in the east, allowing for regional comparison. From one Silesian section (Biały Kościół) 12 new post-infrared infrared stimulated luminescence (pIRIR) ages are presented in addition to the quartz ages of identical sample material. The obtained ages are compared to already published independently elaborated middle-grain (45–63 µm) and coarse-grain (90–125 µm) quartz ages and pIRIR ages from fine grains produced in the Gliwice Luminescence Laboratory (Poland). This comparison shows that in many cases the middle- and coarse-grain quartz ages underestimate the fine-grain quartz ages, but a general rule has not been able to be established so far, likely due to different geological origin of the quartz grains. Even fine-grain quartz ages ≥∼ 50 ka may be underestimated with respect to lithostratigraphic expectations. For pIRIR ages, however, no evidence for age underestimates has been found in the studied sections, but they are more easily prone to age overestimates due to unknown residual doses at deposition in a periglacial environment. Basic agreement between the luminescence-based chronologies elaborated in the two involved laboratories can be stated for the first time in contrast to other previous studies. The observed age differences are, however, critical for the accurate time bracketing of geomorphologic and pedostratigraphic features such as ice wedging, thermokarst erosion events, and interstadial soil formations and for their attribution to marine isotope stages. Alternative interpretations are discussed including possible periglacial mirroring of pre-LGM ice advances (Ristinge and Klintholm advances) in the southwestern Baltic Sea area. The uncertainty in luminescence ages from pre-Holocene loess due to fossil ice during permafrost conditions is the major systematic error source which will be addressed but at present is far from an unambiguous solution. The present study focuses on a complex of interstadial soils now labelled L1SS1 and on harsh periglacial climate afterwards and before, yielding some unexpected results for the timing of ice wedging and thermokarst processes. In order not to leave the users alone with the decision about the most credible dating, the suggested way forwards is to simultaneously apply various luminescence dating protocols including different quartz grain sizes and pIRIR from fine polymineral grains, as an honest approach to reliable time bracketing of geomorphological processes and stratigraphic events under debate. A refinement of this approach remains challenging as far as the sole reliable dating protocol is not ensured.
No abstract is provided for this article.
A novel rough set approach is proposed in this paper to discover classification rules through a process of knowledge induction which selects optimal decision rules with a minimal set of features necessary and sufficient for classification of real-valued data. A rough set knowledge discovery framework is formulated for the analysis of interval-valued information systems converted from real-valued raw decision tables. The optimal feature selection method for information systems with interval-valued features obtains all classification rules hidden in a system through a knowledge induction process. Numerical examples are employed to substantiate the conceptual arguments.
This paper focuses on Austrian outbound foreign direct investment (FDI, measured by sales of Austrian affiliates abroad) in Europe over the period 2009–2013, using a spatial Durbin panel data model specification with fixed effects, and a spatial weight matrix based on the first-order contiguity relationship of the countries and normalised by its largest eigenvalue. Third-country effects essentially enter the empirical analysis in two major ways: first, by the endogenous spatial lag on FDI (measured by FDI into markets nearby the host country), and, second, by including an exogenous market potential variable that measures the size of markets nearby the FDI host country in terms of gross domestic product. The question whether the empirical result is compatible with horizontal, vertical, export-platform or complex vertical FDI then depends on the sign and significance levels of both the coefficient of the spatial lag on FDI and the direct impact estimate of the market potential variable. The paper yields robust results that provide significant empirical evidence for horizontal FDI as the main driver of Austrian outbound FDI in Europe. This result is strengthened by the indirect impact estimate of the market potential variable indicating that spatial spillovers do not matter.
