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Registros recuperados: 13
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INTEGRATION IN BENIN MAIZE MARKET: AN APPLICATION OF THRESHOLD COINTEGRATION ANALYSIS AgEcon
McKenzie, Andrew M.; Pede, Valerien O..
The degree to which markets are spatially efficient has important implications for market liberalization and other policy reforms. After several attempts to control and regulate the marketing of maize in Benin, a liberalized free-market system was finally adopted in 1990. It was assumed that a free-market system would perform more efficiently and enhance maize market integration compared with the more government oriented systems of the past. However, trade barriers still exist in the form of traders' associations across market locations. Recent market integration literature has focused on the influence of transaction costs and threshold effects on tests for integration. Hansen and Seo's two regime threshold cointegration model is used to analyze the degree...
Tipo: Conference Paper or Presentation Palavras-chave: Marketing.
Ano: 2005 URL: http://purl.umn.edu/19293
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Economic Growth in the Philippines: A Spatial Econometrics Analysis at the Provincial Level, 1991 – 2000. AgEcon
Pede, Valerien O.; Huelgas, Zenaida M.; Villano, Lorena; Garcia, Cornelia; McKinley, Justin D.; Mohanty, Samarendu.
Investigating the determinants of economic growth remains a long research tradition in the economic growth literature. Most studies in this literature have tried to link economic growth and different economic factors using either neoclassical growth theories or endogenous growth approaches. These studies apply these growth theories to identify the factors responsible for the observed differences/disparities between regions or countries. While early studies focused on cross-country analyses, the recent most studies consider regions or sub-national entities as unit of analysis. This has raised the question of whether theories developed for cross-country analysis could be automatically applied for regional or sub-national analysis. Given the profound...
Tipo: Conference Paper or Presentation Palavras-chave: Community/Rural/Urban Development; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods.
Ano: 2011 URL: http://purl.umn.edu/103651
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A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969–2003 AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; Holt, Matthew T..
Spatial regression models incorporating non-stationarity in the regression coefficients are popular. We propose a spatial variant of the Smooth Transition AutoRegressive (STAR) model that is more parsimonious than commonly used approaches and endogenously determines the extent of spatial parameter variation. Uncomplicated estimation and inference procedures are demonstrated using a neoclassical convergence model for United States counties.
Tipo: Working or Discussion Paper Palavras-chave: Spatial autoregression; Smooth transition; Spatial econometrics; STAR; GWR; Community/Rural/Urban Development; Labor and Human Capital; Political Economy; Research Methods/ Statistical Methods; C21; C51; R11; R12.
Ano: 2009 URL: http://purl.umn.edu/48117
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Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State Level, 1963–-1997 AgEcon
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...
Tipo: Conference Paper or Presentation 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
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TECHNOLOGICAL LEADERSHIP, HUMAN CAPITAL AND ECONOMIC GROWTH: A SPATIAL ECONOMETRIC ANALYSIS FOR U.S. COUNTIES, 1969-2003* AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; de Groot, Henri L.F..
The traditional view of cities as monocentric conglomerates of people clustered around an employment center, driving economic growth in cities that subsequently trickles down to the hinterland, is increasingly being challenged. In particular, the role of space, technological leadership, human capital, increasing returns to scale and industrial clustering as well as hierarchical organization principles have been emphasized in the more recent literature. This paper utilizes exploratory and spatial econometric data analysis techniques to investigate these issues for U.S. counties using data from 1969 through 2003. Ultimately, contiguous and hierarchical organization and interaction patterns are captured using an endogenous growth model allowing for spatial...
Tipo: Working or Discussion Paper Palavras-chave: Community/Rural/Urban Development.
Ano: 2006 URL: http://purl.umn.edu/28630
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Employment Growth and Income Inequality: Accounting for Spatial and Sectoral Differences AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; Partridge, Mark D..
This paper revisits the inequality-growth relationship accounting for sectoral differences and focusing on US counties. For 8 two-digit industries of the NAICS classification, we estimated a conditional growth model where employment growth depends on regional income inequality and a number of control variables. Spatial econometrics techniques are used to account for spatial dependence. Results indicate that there is no association between employment growth and family income inequality for the Agriculture, Forestry, Fishing and Hunting sector and the Real Estate, Rental and Leasing sector. However, income inequality consistently shows a negative impact on employment growth in the construction sector, and results are mixed for other sectors such as:...
Tipo: Conference Paper or Presentation Palavras-chave: Employment growth; Inequality; Spatial dependence; Community/Rural/Urban Development; R0; R11; O15; D30.
Ano: 2009 URL: http://purl.umn.edu/49460
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Technical Efficiency of Resource-Conserving Technologies in Rice -Wheat Systems: The Case of Bihar and Eastern Uttar Pradesh in India AgEcon
Dung, Khong Tien; Sumalde, Zenaida M.; Pede, Valerien O.; McKinley, Justin D.; Garcia, Yolanda T.; Bello, Amelia L..
This study has evaluated the technical efficiency of farmers engaged in rice-wheat cropping systems in North-eastern India, who are using Resource-Conserving Technologies (RCTs) such as Zero Tillage (ZT) and Direct Seeded Rice (DSR). These technology promotions are being carried out under the intervention of the Cereal Systems Initiative for South Asia (CSISA) project, primarily funded by the Bill and Melinda Gates Foundation. The resource-conserving technologies are being promoted as part of conservation agriculture supported by the project. The data used in this study have been derived from the socioeconomic surveys conducted in Eastern Uttar-Pradesh and Bihar in North-eastern India during the kharif season of 2009 and rabi season of 2010. A stochastic...
Tipo: Journal Article Palavras-chave: Conservation agriculture; Direct seeded rice; India; Resource-conserving technology; Technical efficiency; Stochastic frontier; Zero tillage; Agricultural and Food Policy; O30; Q18; O22.
Ano: 2011 URL: http://purl.umn.edu/118227
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Modeling Non-Linear Spatial Dynamics: A Family of Spatial STAR Models and an Application to U.S. Economic Growth AgEcon
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...
Tipo: Conference Paper or Presentation 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
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Technological Leadership and Sectoral Employment Growth: A Spatial Econometric Analysis for U.S. Counties AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; de Groot, Henri L.F..
This paper investigates the determinants of technological catch-up and examines at a refined level of spatial and sectoral aggregation to what extent geographical and/or technological proximity to the technology leader impact regional employment growth. Technological progress is endogenously determined and depends on specialization, competition and diversity. We also allow technological progress to depend on agglomeration economies in proximate regions, and model technological progress by means of a hierarchical process of catch-up to the technology leader. Results indicate that human capital plays a crucial role in promoting sectoral employment growth. The effect of technological distance varies, depending on which sector is considered. Technological...
Tipo: Report Palavras-chave: Regional employment growth; Technology leadership; Space; Research and Development/Tech Change/Emerging Technologies; R11; R12; C21; O32; O47.
Ano: 2011 URL: http://purl.umn.edu/102827
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The Role of Knowledge Externalities in the Spatial Distribution of Economic Growth: A Spatial Econometric Analysis for US Counties, 1969–2003 AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; de Groot, Henri L.F..
The traditional view of cities as monocentric conglomerates of people clustered around an employment center, driving economic growth in cities that subsequently trickles down to the hinterland, is increasingly being challenged. In particular, the role of space, technological leadership, human capital, increasing returns to scale and industrial clustering as well as hierarchical organization principles have been emphasized in the more recent literature. This paper utilizes exploratory and spatial econometric data analysis techniques to investigate these issues for US counties using data from 1969 through 2003. Ultimately, contiguous and hierarchical organization and interaction patterns are captured using an endogenous growth model allowing for spatial...
Tipo: Conference Paper or Presentation Palavras-chave: Labor and Human Capital.
Ano: 2006 URL: http://purl.umn.edu/21157
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Technical Efficiency of Resource Conserving Technologies in Rice Wheat Systems: Case of Bihar and Eastern Uttar Pradesh in India AgEcon
Khong, Tien Dung; Pede, Valerien O.; Sumalde, Zenaida M.; McKinley, Justin D.; Mohanty, Samarendu.
This study aimed to evaluate the technical efficiency of farmers engaged in rice-wheat cropping systems in India using Resource Conserving Technologies (RCTs) such as zero-tillage and direct seeding, under the intervention of the Cereal Systems Initiative for South Asia (CSISA) project primarily funded by the Bill and Melinda Gates Foundation. The goal of the project is to alleviate hunger and malnutrition as well as increase income and food security for poor farmers living in South Asia. The Resource Conserving Technologies (RCTs) are being promoted as part of conservation agriculture supported by the project. These technologies are designed to reduce the strain agricultural production has on two critical natural resources: water and soil. The RCT...
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural and Food Policy; Crop Production/Industries; Food Security and Poverty; International Development; Production Economics; Productivity Analysis.
Ano: 2011 URL: http://purl.umn.edu/103652
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Regional Income Inequality and Economic Growth: A Spatial Econometrics Analysis for Provinces in the Philippines AgEcon
Pede, Valerien O.; Sparks, Adam H.; McKinley, Justin D..
This paper revisits the inequality-growth relationship using data at the sub-national (provincial) level in the Philippines over the period 1991- 2000. A conditional convergence growth model is considered where the growth of per capita income depends on inequality and other growth factors. The contribution of each province to the overall inequality obtained from the Theil index is considered. Results indicate that inequality has a positive and significant effect on per capita income growth. However, the magnitude of the inequality effect is not stable across regions. Geographically Weighted Regression estimates show that the magnitude of the inequality growth relationship varies over a range of 0.72 to 3.36. Other results are also noteworthy in this study....
Tipo: Presentation Palavras-chave: Clusters; Growth; Inequality; Spatial econometrics; Community/Rural/Urban Development; Research Methods/ Statistical Methods; R11; R12; O15; C21.
Ano: 2012 URL: http://purl.umn.edu/124402
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REGIONAL HOUSING PRICE CYCLES: A SPATIO-TEMPORAL ANALYSIS USING US STATE LEVEL DATA AgEcon
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.
Tipo: Working or Discussion Paper 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
Registros recuperados: 13
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