Neighborhood and Efficiency in Manufacturing in Brazilian Regions: A Spatial Markov Chain Analysis

被引：16

作者：

Schettini, Daniela ^{[1
]}

Azzoni, Carlos R. ^{[1
]}

Paez, Antonio ^{[2
]}

机构：

[1] Univ Sao Paulo, Dept Econ, BR-05508 Sao Paulo, Brazil

[2] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada

来源：

INTERNATIONAL REGIONAL SCIENCE REVIEW | 2011年 / 34卷 / 04期

基金：

巴西圣保罗研究基金会;

关键词：

spatial markov Chains; neighborhood and efficiency; manufacturing; stochastic production frontier; production function; INCREASING RETURNS; ECONOMIC-GROWTH; PRODUCTIVITY; DETERMINANTS;

D O I：

10.1177/0160017611403141

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper analyzes the geography of regional competitiveness in manufacturing in Brazil. The authors estimate stochastic frontiers to calculate regional efficiency of representative firms in 137 regions in the period 2000-2006, in four sectors defined by technological intensity. The efficiency results are analyzed using Markov Spatial Transition Matrices to provide insights into the transition of regions between efficiency levels, considering their local spatial context. The results indicate that geography plays an important role in manufacturing competitiveness. In particular, regions with more competitive neighbors are more likely to improve their relative efficiency (pull effect) over time, and regions with less competitive neighbors are more likely to lose relative efficiency (drag effect). The authors find that the pull effect is stronger than the drag effect.

引用

页码：397 / 418

页数：22

共 37 条

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