In the context of the SustainCity project (http://www.sustaincity.eu), three European cities (Brussels, Paris and Zurich) will be modelled using the land use microsimulation platform UrbanSim. This platform relies on various models interacting with each other, to predict long-term urban development. The aim of this paper is to provide some econometric insight into this process. A common set of ...

In this study, we examine the effect of church tax on the church membership decision using Finnish data. We present both descriptive statistics from an opting-out website and econometric evidence exploiting the panel structure of a large individual-level data set. Our descriptive analysis shows that opting out is concentrated towards the last days of the year, i.e., the last chance to avoid pay...

Improving agricultural water use efficiency (AWUE) is an important way to solve the shortage of resources in arid and semi-arid regions. This study used Super-DEA (data envelopment analysis) measure AWUE 52 cities Northwest China from 2000 2018. Based on spatial temporal perspectives, it applied Exploratory Spatial Data Analysis (ESDA) explore dynamic evolution regional differences AWUE. A econ...

This paper outlines a taxonomy of spatial econometric model specifications that incorporate spatial externalities in various ways. The point of departure is a reduced form in which local or global spillovers are expressed as spatial multipliers. From this, a range of familiar and less familiar specifications is derived for the structural form of a spatial regression.

This paper develops a joint econometric-simulation framework to forecast detailed empirical distributions of the spatial pattern of land-use and ecosystem change. In-sample and out-of-sample forecasting tests are used to examine the performance of the parcel-scale econometric and simulation models, and the importance of multiple forecasting challenges is assessed. The econometric-simulation met...

This review offers a guided tour to PcGive 10 modules for econometrics analysis of time series (PcGive), limited dependent variable (LogitJD) and static and dynamic panel data analyses (DPD), financial econometric (GARCH) and time series (ARFIMA) modelling. Several empirical applications are reported to illustrate the package.

introduction: under the principles of international law, no state has the right to use or permit the use of its territory in such a manner as to cause damage to the environment of other states. spatial econometrics provides a powerful tool to assess the influence of the pollution of neighboring countries on a country's pollution level. spatial spillover effects play a significant role in a...

Using a newly-available panel dataset of gridded annual crop yields in conjunction with dynamic econometric model that distinguishes between farmers' short-run and long-run responses to weather shocks accounts for adaptation, we investigate the risk global from climate warming. Over broad spatial domains observe only slight moderation impacts by adjustments. In absence additional margins adapta...

Energy efficiency and energy intensity are gradually gaining attention, it is now an important proposition to reconcile financial development, green finance, regional intensity. Using Chinese mainland provincial panel data (except Tibet) from 2007 2019, this paper applied the spatial econometric model threshold investigate effects of development finance on The discovered that raises intensity, ...