This paper aims at the exploration of the questions connected with the effects of uncertainty and risk in agriculture and, generally, in each economic sector where risk considerations are established. The aim of the first part is to give the key features for the estimation of production structures using dual approach and risk prevalence. In order to state risk non-neutrality into the implemente...

This study offers a unique contribution to the literature by investigating the convergence of province-level carbon dioxide emission intensity among a panel of 30 provinces in China over the period 1990-2010. We use a novel, spatial dynamic panel data model to test the hypotheses of absolute beta convergence and conditional beta convergence. Our results suggest: (1) CO2 emission intensities are...

The acoustic performance of passive or active panel structures is usually tested in sound transmission loss facilities. A reverberant sending room, equipped with one or a number of independent sound sources, is used to generate a diffuse sound field excitation which acts as a disturbance source on the structure under investigation. The spatial correlation and coherence of such a synthesized non...

T he market potential is an indicator showing the level of market access and national demand for products of a region. The aim of this study is to study the effect of market potential on regional economic growth in 28 Iranian provinces over the years 2001–2011. In order to do that, a model of regional growth was estimated by using Spatial Dynamic Panel Data technique. This technique ...

This article reflects on the past 30 years of academic research in the field of spatial data quality and tries to identify the main achievements, failures, and opportunities for future research. Most of this reflection results from a panel discussion that took place during the Sixth International Symposium on Spatial Data Quality (ISSDQ) in July 2009.

This paper considers the panel probit model with spatial dependency from a Bayesian point of view. We consider Markov chain Monte Carlo methods to estimate the parameters of the model. Our approach is illustrated with simulated data set. Furthermore, we explore the spatial interaction of business cycle across 47 prefectures from the period 1991 to 2000 in Japan. Spatial dependency can be found ...

This paper considers a quasi-maximum likelihood estimation for the spatial dynamic panel data with both time and individual …xed e¤ects when both the number of individuals n and the number of time periods T can be large. Instead of using di¤erent estimation methods depending on whether the data generating process has time dummy e¤ects or not and whether it is stable, spatial cointegrated, or ex...

In this paper, a combined cross-section and time-series econometric analysis of Spanish regional growth is presented. This analysis operates with a database where the number of cross-sectional units is small for a typical panel of data, while the time dimension is clearly dominant. First, using recent techniques in the econometric analysis of panel data (both panel unit root and panel co-integr...

Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data This paper reconsiders the long-run economic relationship between health care expenditure and income using a panel of 20 OECD countries observed over the period 1971-2004. In particular, the paper studies the non-stationarity and cointegration properties between health care spending and income. This is done in...