SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

Borsky, Stefan; Raschky, Paul A..

This paper provides an empirical analysis of the role of intergovernmental relations on a country's effort to enforce the objectives of an international environmental agreement on an open access resource. Intergovernmental interaction allows signatory countries to observe compliance behavior of other signees and to punish non-compliance by applying bi- and multilateral sanctions. We use a cross-sectional dataset that contains country level information about compliance with Article 7 of the 1995 UN Code of Conduct for Responsible Fisheries. Our identification strategy combines a spatial autoregressive model with spatial autoregressive disturbances and an instrumental variable approach. We find a strong positive effect of other countries' compliance on the...

Tipo: Presentation

Palavras-chave: International environmental agreements; Open access resources; Spatial econometrics; Environmental Economics and Policy; C21; F53; Q22.

Ano: 2012

URL: http://purl.umn.edu/124425

PRIMARY DETERMINANTS AND THE SPATIAL DISTRIBUTION OF CORRUPTION

Ortega, David L.; Florax, Raymond J.G.M.; Delbecq, Benoit A..

This paper analyzes the spatial distribution of corruption and its primary economic and political determinants. Economic freedom and development are found to lower incidences of corruption. Of notable significance, this study finds empirical evidence of a non-linear relationship between a country’s level of democracy and corruption. Extreme authoritarian regimes are found to have lower corruption levels than hybrid regimes, but past a certain threshold democracy inhibits corruption. More importantly the analysis in this paper finds that the economic and political actions of a country have a significant impact on corruption levels worldwide.

Agglomeration, Spatial Interaction and Convergence in the EU

Palavras-chave: Corruption; Spatial econometrics; Economic freedom; Political democracy; Political Economy; Public Economics; Research Methods/ Statistical Methods; C21; D73; H11.

Ano: 2010

URL: http://purl.umn.edu/101395

Brauninger, Michael; Niebuhr, Annekatrin.

We investigate the convergence process among EU regions between 1980-2002 taking into account the effects of spatial heterogeneity and spatial spillover effects. The spatial regimes model allows for different steady-state growth paths. In contrast to previous analyses, the regimes in this paper refer to spatial categories, i.e. we assume that agglomerations, urbanised and rural regions are characterised by group-specific steadystates. Moreover, the regression analysis considers the effects of interaction among neighbouring regions, possibly leading to a spatial dependence of regional growth rates. We check whether spatial dependence is caused by spatial spillovers or based on country effects.

Industrial Coal Demand in China: A Provincial Analysis

Palavras-chave: Convergence; Agglomeration; European Union; Spatial econometrics; Quantile regression; International Development; C21; O52; R11.

Ano: 2005

URL: http://purl.umn.edu/26150

Cattaneo, Cristina; Manera, Matteo; Scarpa, Elisa.

In recent years, concerns regarding the environmental implications of the rising coal demand have induced considerable efforts to generate long-term forecasts of China’s energy requirements. Nevertheless, none of the previous empirical studies on energy demand for China has tackled the issue of modelling coal demand in China at provincial level. The aim of this paper is to fill this gap. In particular, we model and forecast the Chinese demand for coal using time series data disaggregated by provinces. Moreover, not only does our analysis account for heterogeneity among provinces, but also, given the nature of the data, it captures the presence of spatial autocorrelation among provinces using a spatial econometric model. A fixed effects spatial lag model...

EXPLAINING THE CLIMATE-DEPENDENT DISTRIBUTION OF CROPS IN SPACE –THE EXAMPLE OF CORN AND CORN-COB-MIX IN BADEN-WÜRTTEMBERG

Palavras-chave: Energy demand; Coal demand; China; Spatial econometrics; Panel data; Forecasting; Resource /Energy Economics and Policy; C23; E6; Q31; Q41.

Ano: 2008

URL: http://purl.umn.edu/44425

Lippert, Christian; Chatzopoulos, Thomas; Schmidtner, Eva; Aurbacher, Joachim.

This article analyses the current climate-dependent spatial distribution of corn and corn-cob-mix in Baden-Württemberg using 2007 data at the county and community level. We use OLS and spatial econometric models to estimate the effects of different climate and non-climate variables on the share of grain maize in UAA. Whereas the temperature effect is missed by means of OLS regression, the adequate spatial error model at the county level yields a highly significant positive effect of mean annual temperature. Additionally, it displays a temperature cut-off point after which corn share is less likely to rise due to temperature increase. These effects are supported by a non-spatial multinomial logit model at the community level. The latter further indicates...

Spatial Analysis of Factors Affecting Finnish Farmland Prices

Palavras-chave: Spatial distribution of corn; Spatial econometrics; Multinomial logit; Climate change; Agribusiness; Crop Production/Industries.

Ano: 2011

URL: http://purl.umn.edu/114504

Pyykkonen, Perttu.

The purpose of the study was to find out the factors affecting farmland prices in Finland. A hedonic pricing model that takes into account the presence of spatial dependence was applied for a very large sales price data (6 281 observations). The results confirmed the importance of land quality and the structural change as determinants of land price. In addition, off-farm job possibilities seemed to have a significant role in determining land prices. The effect of government payments on land prices was also clear, even though the support does not explain very much of the differences in land prices between regions.

Spatial Econometric Issues for Bio-Economic and Land-Use Modeling

Palavras-chave: Land prices; Hedonic pricing; Spatial econometrics; Land Economics/Use; Q11.

Ano: 2005

URL: http://purl.umn.edu/24541

Holloway, Garth J.; Lacombe, Donald J.; LeSage, James P..

We survey the literature on spatial bio-economic and land-use modelling and review thematic developments. Unobserved site-specific heterogeneity is common in almost all of the surveyed works. Heterogeneity appears also to be a significant catalyst engendering significant methodological innovation. To better equip prototypes to adequately incorporate heterogeneity, we consider a smorgasbord of extensions. We highlight some problems arising with their application; provide Bayesian solutions to some; and conjecture solutions for others.

Obesity in Urban Food Markets: Evidence from Geo-referenced Micro Data

Palavras-chave: Spatial econometrics; Bio-economic and land-use modelling; Bayesian solution; Land Economics/Use.

Ano: 2006

URL: http://purl.umn.edu/25525

Chen, Susan E.; Florax, Raymond J.G.M.; Snyder, Samantha D..

This paper provides quantitative estimates of the effect of proximity to fast food restaurants and grocery stores on obesity in urban food markets. Our empirical model combined georeferenced micro data on access to fast food restaurants and grocery stores with data about salient personal characteristics, individual behaviors, and neighborhood characteristics. We defined a "local food environment" for every individual utilizing 0.5-mile buffers around a person's home address. Local food landscapes are potentially endogenous due to spatial sorting of the population and food outlets, and the body mass index (BMI) values for individuals living close to each other are likely to be spatially correlated because of observed and unobserved individual and...

Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State Level, 1963-1997

Palavras-chave: Obesity; Fast food; Grocery store; Spatial econometrics; Micro data; Agricultural and Food Policy; Community/Rural/Urban Development; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Health Economics and Policy; Public Economics; Research Methods/ Statistical Methods; C31; D12; I12; I18.

Ano: 2009

URL: http://purl.umn.edu/49512

Pede, Valerien O.; Florax, Raymond J.G.M.; de Groot, Henri L.F..

For several decades, cross-country analyses have dominated the literature on economic growth. Recently, these analyses have been extended to include sectoral variation as well as spatial variation across sub-national regions. This paper investigates economic growth and potential determinants of the process of catch-up to technology leaders for several economic sectors, using data for the lower 48 US states from 1963 through 1997. We analyze the potential influence of factors such as human capital, and geographical distance to the technology leader. A spatially explicit growth model in which technological progress is endogenously determined is used to model productivity growth in nine US industries, ranging from mining to government, and including a...

Existe convergência espacial da produtividade agrícola no Brasil?

Palavras-chave: Regional economic growth; Convergence; Industry level; Technological leadership; Spatial econometrics; Industrial Organization; C21; I23; O33; R12.

Ano: 2007

URL: http://purl.umn.edu/9691

Almeida, Eduardo Simões de; Perobelli, Fernando Salgueiro; Ferreira, Pedro Guilherme Costa.

This work analyzes the convergence of land productivity for Brazilian regions from 1991 to 2003. It evaluates if there is or not convergence of the agricultural productivity, controlling explicitly for spatial effects. To do so, an exploratory spatial data analysis was previously implemented and the presence of spatial autocorrelation for the land productivity was detected. In addition, spatial econometric models were developed for the convergence analysis.

Tipo: Journal Article

Palavras-chave: Convergence; Land productivity; Spatial econometrics; Spatial autocorrelation.; Agribusiness; R12; C31; Q10..

Ano: 2008

URL: http://purl.umn.edu/61267

Convergence and the Effects of Spatial Interaction

Niebuhr, Annekatrin.

Since the beginning of the 1990s, the issue of income convergence has received considerable attention in economic research. Although a vast number of empirical studies has emerged, evidence on the role of spatial interaction is still rather scarce. The present paper is an attempt to provide additional information on the spatial aspect of convergence. Spatial econometric methods are used to investigate regional convergence in West Germany. The results indicate that spatial interaction is an important element of regional growth. However, considering spatial effects does not alter the general conclusion that regional income growth is characterised by a process of convergence.

Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities

Palavras-chave: Regional convergence; Spatial interaction; Spatial econometrics; Community/Rural/Urban Development; C21; C52; O18; R11.

Ano: 2001

URL: http://purl.umn.edu/26351

Tanaka, Katsuya; Yoshida, Kentaro; Kawase, Yasushi.

The objective of this study is to develop spatially-explicit choice model and investigate its validity and applicability in CA studies. This objective is achieved by applying locally-regressed geographically weighted regression (GWR) and GIS to survey data on hypothetical dogrun facilities (off-leash dog area) in urban recreational parks in Tokyo, Japan. Our results show that spatially-explicit conditional logit model developed in this study outperforms traditional model in terms of data fit and prediction accuracy. Our results also show that marginal willingness-to-pay for various attributes of dogrun facilities has significant spatial variation. Analytical procedure developed in this study can reveal spatially-varying individual preferences on attributes...

The distributional effects of NAFTA in Mexico: evidence from a panel of municipalities

Palavras-chave: Choice experiments; Conjoint analysis; Dogrun; Geographically weighted regression; Spatial econometrics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.

Ano: 2008

URL: http://purl.umn.edu/6233

Baylis, Katherine R.; Garduno-Rivera, Rafael; Piras, Gianfranco.

This paper studies the regional distribution of the benefits from trade in Mexico after NAFTA. Specifically, we ask whether or not NAFTA has increased the concentration of economic activity in Mexico. Unlike previous work which uses state-level data, we identify the effect of NAFTA on economic activity at the municipal level allowing us to observe detailed growth patterns across space. Further, to explicitly identify the effect of the trade agreement, we compare results for growth in traded and non-traded sectors. Given the spatial nature of these data, we make explicit use of spatial econometrics methods. We find that NAFTA caused the wealthy regions nearest to the border to grow faster than others, increasing regional disparity. Second, we find that...

Benefits to Regional Pest Management: Estimating the Spatial Externalities of Conventional Pesticide Use On Beneficial Insects in the California Citrus Industry

Palavras-chave: Regional Disparities; Trade Liberalization; Agglomeration Economies; Economic Growth; Mexico; Transport Cost; Spatial econometrics; Community/Rural/Urban Development; International Development; International Relations/Trade.

Ano: 2009

URL: http://purl.umn.edu/49463

Grogan, Kelly A..

Replaced with revised version of paper 08/06/10.

Spatial Dependence of Regional Unemployment in the European Union

Palavras-chave: Pesticide choice; Spatial externalities; Spatial econometrics; Agricultural and Food Policy; Crop Production/Industries; Production Economics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.

Ano: 2010

URL: http://purl.umn.edu/61254

Niebuhr, Annekatrin.

The findings of recent studies on adjustment processes suggest that regional labour markets in the EU and the US differ significantly. Low wage flexibility and limited labour mobility in European countries involve persistent unemployment differentials across regions. However, the spatial dimension of regional labour market problems is largely neglected in the corresponding analyses. In contrast, the present paper focuses on the spatial structure of regional unemployment disparities. Regions are tightly linked by migration, commuting and interregional trade. These types of spatial interaction are exposed to frictional effects of distance, possibly causing spatial dependence of regional labour market conditions. Spatial association of regional unemployment...

Modeling Non-Linear Spatial Dynamics: A Family of Spatial STAR Models and an Application to U.S. Economic Growth

Palavras-chave: Regional unemployment; Spatial interaction; Spatial econometrics; Europe; Labor and Human Capital; C21; E24; R12.

Ano: 2002

URL: http://purl.umn.edu/26147

Pede, Valerien O.; Florax, Raymond J.G.M.; Holt, Matthew T..

This paper investigates non-linearity in spatial processes models and allows for a gradual regime-switching structure in the form of a smooth transition autoregressive process. Until now, applications of the smooth transition autoregressive (STAR) model have been largely confined to the time series context. The paper focuses on extending the non-linear smooth transition perspective to spatial processes models, in which spatial correlation is taken into account through the use of a so-called weights matrix identifying the topology of the spatial system. We start by deriving a non-linearity test for a simple spatial model, in which spatial correlation is only included in the transition function. Next, we propose a non-linearity test for a model that includes...

Determinants of agricultural cash rents in Germany: A spatial econometric analysis for farm-level data

Palavras-chave: Spatial econometrics; Non-linearity; Utoregressive smooth transition; Research Methods/ Statistical Methods; C12; C21; C51; O18; R11.

Ano: 2008

URL: http://purl.umn.edu/6518

Breustedt, Gunnar; Habermann, Hendrik.

We empirically analyse the determinants of cash rent levels for agricultural land in Lower Saxony, Germany. We are the first to apply a spatial econometrics approach that accounts for two types of spatial dependence simultaneously to cash rent data at the farm-level. Our empirical results underline the usefulness of such an approach. Farm characteristics which serve as a proxy for the marginal value of rented acreage for the tenant as well as variables which represent local competition on the land market are significant. Among the farm characteristics, operating revenue per hectare, share of high-value crops, soil quality, share of rented acreage, share of arable land relative to rented acreage, and animal density are significant while, ceteris paribus,...

REGIONAL HOUSING PRICE CYCLES: A SPATIO-TEMPORAL ANALYSIS USING US STATE LEVEL DATA

Palavras-chave: Cash rent; Farm-level data; Spatial econometrics; Land Economics/Use.

Ano: 2008

URL: http://purl.umn.edu/44462

Kuethe, Todd H.; Pede, Valerien O..

We present a study of the effects of macroeconomic shocks on housing prices in the Western United States using quarterly state level data from 1988:1 – 2007:4. The study contributes to the existing literature by explicitly incorporating locational spillovers through a spatial econometric adaptation of vector autoregression (SpVAR). The results suggest these spillovers may Granger cause housing price movements in a large number of cases. SpVAR provides additional insights through impulse response functions that demonstrate the effects of macroeconomic events in different neighboring locations. In addition, we demonstrate that including spatial information leads to significantly lower mean square forecast errors.

The Impact of Agriculture on Waterfowl Abundance: Evidence from Panel Data

Palavras-chave: Housing prices; VAR; Spatial econometrics; Community/Rural/Urban Development; Research Methods/ Statistical Methods; C31; C32; R21.

Ano: 2009

URL: http://purl.umn.edu/47596

Wong, Linda; van Kooten, G. Cornelis; Clarke, Judith A..

Agricultural expansion and intensification in Canada’s Prairie Pothole Region (PPR) have contributed to declining waterfowl populations since the 1970s. Although this region represents a mere 10% of North America’s waterfowl breeding habitat, it produces over 50% of the continent’s duck population and roughly 60% of Canada’s agricultural output. Thus, intense competition exists between private economic interests and public benefits in the PPR. To better understand the conflict between agricultural and wildlife uses of land, panel methods are used to examine the spatiotemporal variation of waterfowl populations and agricultural land use intensity in the PPR from 1961-2006. For the main static model, we find that a one percent increase in cropland or pasture...

CLIMATE CHANGE AND AGRICULTURAL PRODUCTIVITY IN SUB-SAHARAN AFRICA: A SPATIAL SAMPLE SELECTION MODEL

Palavras-chave: Wetlands protection; Spatial econometrics; GIS; Land use conflict; Migratory waterfowl; Community/Rural/Urban Development; Environmental Economics and Policy; Q57; C33; Q15; Q24.

Ano: 2011

URL: http://purl.umn.edu/98422

Ward, Patrick S.; Florax, Raymond J.G.M.; Flores-Lagunes, Alfonso.

Using data at a high spatial resolution, we estimate a cereal yield response function conditional upon climatological and topographical features using a recently developed estimator for spatial process models when sample selection is of concern. We control for localized spatial correlation in unobserved disturbances affecting both the selection to plant cereals as well as in the resulting conditional yield response. We find that cereal yields across Sub-Saharan Africa will decline with increasing temperatures resulting from global climate change, and that failing to control for sample selection leads to underestimation of these adverse effects.