Le territoire viticole en France : de la destruction à la valorisation

The surfaces devoted to the vine were reduced with the passing years. Under the effect of several phenomena that lead to lower consumption of wine, the decrease in vineyard area has led to a disintegration of rural and peri-urban area and reallocation of land released. Simultaneously from several French and European legislations, the wine territories have several means of protection and recovery through the heritage (natural, material), the concept of terroir, the nature and quality of products.Heritage;landscape;protection;wine territories;terroir;development

Accumulation of education and regional income growth: Limited human capital effects in Norway

Accumulation of education and geographic concentration of educated people in cities are expected to generate urban income growth. New economic geography predicts income divergence across regions. We investigate the dynamic process of accumulating tertiary education and regional income growth in Norway during the past four decades. The expansion of smart cities goes along with catching up of education level in the periphery and overall the education levels converge. Income levels also are shown to converge in distribution analysis using Kernel functions and first order Markov chains. However, the movements in the income distribution are unrelated to the accumulation of education. The hypothesis of equal income transition probabilities across subgroups of regions with different increases in education cannot be rejected. We conclude that accumulation of education has not been important for the pattern of income growth. Catching up from low income is not driven by education and income growth has not taken off in cities with increasing education level.

Accumulation of education and regional income growth: Limited human capital effects in Norway

Accumulation of education and geographic concentration of educated people in cities are expected to generate urban income growth. New economic geography predicts income divergence across regions. We investigate the dynamic process of accumulating tertiary education and regional income growth in Norway during the past four decades. The expansion of smart cities goes along with catching up of education level in the periphery and overall the education levels converge. Income levels also are shown to converge in distribution analysis using Kernel functions and first order Markov chains. However, the movements in the income distribution are unrelated to the accumulation of education. The hypothesis of equal income transition probabilities across subgroups of regions with different increases in education cannot be rejected. We conclude that accumulation of education has not been important for the pattern of income growth. Catching up from low income is not driven by education and income growth has not taken off in cities with increasing education level.

Convergence of Sectoral Productivity in Turkish Provinces: A Markov Chains Model

this study examines the role that sectors play in aggregate convergence of provincial labor productivity across the 67 provinces of turkey during the 1975-1990 period. a markov chain model is applied to characterize the long-run tendencies of productivity both at the aggregate and sectoral levels. in order to determine the likely sources of aggregate fluctuations, sectoral time-invariant distributions are compared with the aggregate distribution, and those sectors that exhibit similar distribution patterns as that of the aggregate distribution are characterized as dominant sectors. evidence strongly suggests that the aggregate time-invariant distribution is determined mainly by the agricultural, industrial and transportation sectors. specifically, the pattern of polarization of productivity levels in these three sectors is very similar to the pattern prevailing at the aggregate level. the results suggest that, in the long run, two convergence clubs are likely to emerge - one for the agricultural and another for the highly industrialized provinces. an exception is the service sector, which exhibits global convergence.convergence; aggregate and sectoral labor productivity; markov chains

Markov Chain approach to Purchasing Power Convergence in the 15 European Union

In the present paper we study the degree of convergence in the European Union from the Purchasing Power Parity (PPP) point of view. The price of the shopping basket can be the cause of disparities in a global market in construction that, like the European Union, is formed by different countries with different consumption habits. In addition, in this construction process twelve out of fifteen countries of the EU have left its national currency to adopt the Euro like common currency. Therefore, it is necessary for the stability of the Union process in the long run that, among others, purchasing power of the different state members tends towards a same common value. Moreover, the question is whether that process of convergence within the European Union is taking place or not. In order to solve this question, the series of the Absolute Purchasing Power Parity (APPP) are estimated through the suggestion of Rodriguez et al (2004). These authors use the Harmonized Consumer Price Index in the European Union and the nominal exchange rates of the different currencies with euro. Monthly estimates of the APPP series for the 1995-2002 period are obtained for each of the fifteen countries. These figures show, for each country, their relative position to the average value of the European Union. Using these series we applied the Markov Chain methodology to study the time evolution of the distribution of APPP in the European Union. This methodology has been very used by its facility of calculation and interpretation of the results. Nevertheless, with the purpose of obtaining good estimations it is necessary to solve the discretization problem of a continuous variable. This is, to use a finite set, and relatively small number of states, for a variable with infinite values. In the present work different approaches are used to solve the problem. We test for structural change on the estimated probabilities using adapted test to Markov Chains. This allows us to study if an effect exists on the Purchasing Power Parity with the entrance of the Euro. Markov Chains are estimated by Maximum likelihood, and allow us to do different analyses. In the first place, we can study the mobility of the distribution, measured through the probabilities of permanence or not in the same state, and in the degree of diagonal structure of the resulting matrix. This objective can obtained by direct observation, calculating Mobility Index, or using expected time of first passage. Secondly, we can obtain the ergodic or long term distribution. This one shows the temporary evolution in the long run of the distribution, under the hypothesis of maintenance of the present conditions. This distribution would show the possible convergence or not of the whole distribution. We also estimate elasticities of ergodic probabilities, to analyze the effect of each probability in the Markov chain in the long run distribution. Results show differences with the Euro Entry, mobility towards convergence within the distribution is slow, with high elasticities of the ergodic distribution to changes in the transition probabilities.

Spatiotemporal methods for analysis of urban system dynamics: an application to Chile

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00168-019-00960-9This paper presents a methodological procedure to evaluate the influence of spatial proximity on evolution of cities to detect regional differences in their spatiotemporal dynamics. The six-step method based on a set of statistical methods can be computed with a new R package: estdaR. The first step consists of the usual characterization of the cross-sectional distribution of the urban areas by means of nonparametric estimations of density functions for a set of significant years. In the second and third steps, the growth process is modeled as a first-order stationary Markov chain to evaluate the effect of global and local spatial autocorrelation on the transition probabilities with a set of indices based on the spatial version of the standard Markov chain. The fourth, fifth, and sixth steps perform in-depth analysis to detect the existence and interaction of spatial regimes in the movement direction and ranking mobility of urban distribution. We apply this novel strategy for the period 1930–2002 to analyze the entire Chilean urban system—not only the Central Zone, in which most of the population and economic activities are concentrated, but also other urban zones in the countryThe funding was provided by Ministerio de Economía, Industria y Competitividad, Gobierno de España (Grand No. ECO2015-65758-P

Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering

This paper analyzes patterns in the earnings development of young labor market entrants over their life cycle. We identify four distinctly different types of transition patterns between discrete earnings states in a large administrative data set. Further, we investigate the effects of labor market conditions at the time of entry on the probability of belonging to each transition type. To estimate our statistical model we use a model-based clustering approach. The statistical challenge in our application comes from the di±culty in extending distance-based clustering approaches to the problem of identify groups of similar time series in a panel of discrete-valued time series. We use Markov chain clustering, proposed by Pamminger and Frühwirth-Schnatter (2010), which is an approach for clustering discrete-valued time series obtained by observing a categorical variable with several states. This method is based on finite mixtures of first-order time-homogeneous Markov chain models. In order to analyze group membership we present an extension to this approach by formulating a probabilistic model for the latent group indicators within the Bayesian classification rule using a multinomial logit model.Labor Market Entry Conditions, Transition Data, Markov Chain Monte Carlo, Multinomial Logit, Panel Data, Auxiliary Mixture Sampler, Bayesian Statistics

Russian Roulette- Expenditure Inequality and Instability in Russia, 1994-1998

This paper uses the second phase of the Russian Longitudinal Monitoring Survey to investigate the changes in expenditure inequality and instability in Russia between the autumn of 1994 and the autumn of 1998. The expenditure distribution is stable in spite of the economic and political turmoil Russia is going through. However, that does not imply much economic stability. Households' expenditure fluctuated considerably, with over 60 percent of the population's expenditure either more than doubling or falling to less than half their previous levels. Only about 10 percent of all households experienced an expenditure shock of less than 10 percent. The measured level of expenditure mobility is very high. This raises the question whether the observed mobility is in fact the expenditure instability. Distinguishing between the two is crucial for policy makers. While the mobility is often viewed as favorable, the high instability may affect the incentives of Russians to support the economic reforms, acquire human capital, and undertake entrepreneurial activities.http://deepblue.lib.umich.edu/bitstream/2027.42/39742/3/wp358.pd