Industrial development policies and performances in Southern China: Beyond the specialised industrial cluster program

Abstract

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What drives spatial clusters of entrepreneurship in China? Evidence from economic census data

“…However, quantitative evidence for the effectiveness of industrial clustering remains limited. Barbieri et al (2012) report a significant correlation between industrial development programs and industrial performance in Guangdong province. However, more research is required to determine the impacts of regional industrial clustering, as well as the specific mechanisms for promoting entrepreneurship.…”

Skills and training requirements of municipal directors: a statistical assessment

“…In general, composite indicators are very familiar in country performance comparison in globalization, competitiveness, education, health, human rights, ecological footprint, corruption, quality of work, technology achievement, social cohesion and trust in public institutions (OECD 2008;Marozzi 2012;Isljamovic et al 2014). Other fields where composite indicators have been successfully used are: quality assessment of industrial products (Lago and Pesarin 2000), customer satisfaction (Arboretti et al 2007;Marozzi 2009) and analysis of industrial development policies (Barbieri et al 2012). Interesting reviews on composite indicator computation are Hochbaum and Levin (2006), Aiello and Attanasio (2004), the key-point is the selection of methods to transform, aggregate and weight the variables at the basis of a composite indicator, in particular both linear and non linear transformation methods are described.…”

‘With a little help from the state’: endogenous and exogenous dynamics in China’s cluster economy

“…This classification system may seem too generous when compared with others. For example, the scholars Barbieri, Di Tommaso and Rubini follow the classification of the Guangdong provincial government, which accords the status of 'specialised town' to an area which has a minimum of 30 per cent of its manufacturing output concentrated in one sector (Barbieri et al, 2009). Yet, the characteristics of the Wenzhou industrial area are so dense that it can be justified.…”