scholarly journals Are Knowledge-Intensive Services an Urban Growth Factor in the Global Periphery? (Un)Fulfilled Possibilities in the Large Metropolitan Areas of Mexico

Urban Science ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 58
Author(s):  
Boris Graizbord ◽  
Luis Enrique Santiago
Keyword(s):  
Growth Factor ◽  
Growth Performance ◽  
Labor Productivity ◽  
Urban Growth ◽  
Census Data ◽  
Metropolitan Areas ◽  
Service Economy ◽  
Spatial Logic ◽  
Economic Census ◽  
Knowledge Intensive

In this paper, we analyze the labor productivity of “knowledge-intensive services” (KIS) located in the four larger metropolitan areas in Mexico. We discuss the accepted explanation to why big cities concentrate the best and most qualified jobs and activities that generate innovative and technological change and therefore labor productivity. In Mexico this is the case for some knowledge-intensive sectors, but some paradoxes emerge when services are disaggregated by analytical, synthetic, and symbolic categories. We use disaggregated economic census data for 2004 and 2014 to find changes in labor productivity in those KIS sectors compared to the metropolitan service economy. In fact, we can identify different spatial logic according to the type of knowledge that KIS produce. Results show unexpected paradoxes in terms of type of KIS category viz a viz their location and growth performance in the four larger metropolitan areas.

scholarly journals Changing boundaries: Overcoming modifiable areal unit problems related to unemployment data in South Africa

2016 ◽  
Vol Volume 112 (Number 3/4) ◽  
Author(s):  
Gina Weir-Smith ◽  
◽  
Keyword(s):  
South Africa ◽  
Rural Areas ◽  
Census Data ◽  
Metropolitan Areas ◽  
Geographic Area ◽  
Areal Unit ◽  
Areal Interpolation ◽  
Unemployment Data ◽  
Municipal Boundaries ◽  
Longitudinal Comparison

Abstract The longitudinal comparison of census data in spatial format is often problematic because of changes in administrative boundaries. Such shifting boundaries are referred to as the modifiable areal unit problem (MAUP). This article utilises unemployment data between 1991 and 2007 in South Africa to illustrate the challenge and proposes ways to overcome it. Various censuses in South Africa use different reporting geographies. Unemployment data for magisterial districts of census 1991 and 1996 were re-modelled to the 2005 municipal boundaries. This article showed that areal interpolation to a common administrative boundary could overcome these reporting obstacles. The results confirmed more accurate interpolations in rural areas with standard errors below 3300. Conversely, the largest errors were recorded in the metropolitan areas. Huge increases in unemployment between 1996 and 2001 statistics were also evident, especially in the metropolitan areas. Although such areas are more complex in nature, making it more difficult to accurately calculate census data, the increase in unemployment could also be the result of census taking methods. The article concludes that socio-economic data should be available at the smallest possible geographic area to ensure more accurate results in interpolation. It also recommends that new output areas be conceptualised to create a seamless database of census data from 1991 to 2011 in South Africa.

scholarly journals The Impact of the Capture of Leaders of Criminal Organizations on the Labor Market: Evidence from Mexico

2021 ◽  
Author(s):  
Daniel Osuna Gómez ◽  
Keyword(s):  
Labor Market ◽  
Census Data ◽  
Negative Impact ◽  
Difference Analysis ◽  
Criminal Organizations ◽  
Before And After ◽  
Economic Census ◽  
The Difference ◽  
Integral Assessment ◽  
The Impact

This paper estimates the impact of the capture of leaders of criminal organizations on the labor market in municipalities where these organizations operated between 2004 and 2006. The difference-in-difference analysis compares different employment outcomes in cartel locations and the rest, before and after the capture of cartel leaders. The results show that captures caused a decrease in nominal wages and paid employment in cartel municipalities. Using Economic Census Data, I find that captures also caused a fall in the number of establishments and had a negative impact on other establishment outcomes. This document focuses exclusively on the impact of the capture of leaders of criminal organizations on the labor market until 2011 without studying other possible consequences, and thus does not make an integral assessment of this policy

Empirical Research on China's Regional Economic Distribution and Characteristics

2011 ◽  
Vol 204-210 ◽  
pp. 350-353
Author(s):  
Xiao Guang Lu ◽  
Jian Qun Zhu ◽  
Meng Ying Fan
Keyword(s):  
Division Of Labor ◽  
Empirical Research ◽  
Regional Economy ◽  
Census Data ◽  
Jiangsu Province ◽  
Regional Economic ◽  
The Past ◽  
Model Based ◽  
Economic Census ◽  
Economic Regions

According to the second economic census data of Jiangsu Province, this paper firstly uses PCA-HCA model based on provincial cities data to classify economic regions. And then, it uses BLR-HCA model to reclassify the economic regions based on counties data. Finally, it comes to the conclusion that the past regional classification ways of Jiangsu Province need to be updated. The research on regional economy is dynamic and timely, while deepening the division of labor and finance is an effective way to develop Jiangsu’s regional economy.

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