Infrastructure, externalities and regional industrial productivity in China: a spatial econometric approach

Infrastructure and income inequality: An application to the Brazilian case using hierarchical spatial autoregressive models

“…The results presented so far provide good evidence about infrastructure effects on inequality, which corroborate some of the related literature (Calderón & Chong, 2004;Calderón & Servén, 2004Medeiros & Ribeiro, 2020;Raychaudhuri & De, 2010) where negative effects of infrastructure provisioning on personal income inequality were found. The significance of the spatial parameters and consequently indirect effects corroborate the importance of taking into account spatial issues on studies on infrastructure and development (Arbués et al, 2015;Boarnet, 2002;Cosci & Mirra, 2017;Faber, 2014;Fingleton & Szumilo, 2019;Jiwattanakulpaisarn et al, 2010;Wan & Zhang;Zhang & Ji, 2019), and provide new evidence on the infrastructure-inequality nexus.…”

“…Infrastructure affects the choices of both firms and families, and since it is distributed asymmetrically between regions, it decisively influences agents’ localization decisions such as migration, establishment of new companies, capital investment in different locations and so forth (Ghani et al, 2016; Holl, 2004, 2016; McCoy et al, 2018; Ottaviano, 2008). Empirical studies on infrastructure and productivity, employment, trade and economic growth have shown the importance of taking into account spatial interactions (Arbués et al, 2015; Boarnet, 2002; Cosci & Mirra, 2017; Faber, 2014; Fingleton & Szumilo, 2019; Jiwattanakulpaisarn et al, 2010; Wan & Zhang, 2018; Zhang & Ji, 2019); nonetheless, no previous study has empirically investigated whether the same pattern of interaction can be observed for inequality. In addition, some studies have pointed to an important role of spatial heterogeneity in shaping the returns of infrastructure on local and regional economies (Cosci & Mirra, 2017; Chen & Vickerman, 2017; Crescenzi & Rodríguez‐Pose, 2012), issue that has not been widely addressed by the literature analyzing the effects of infrastructure on income inequality.…”

How Does Infrastructure Affect Economic Growth? Insights From a Semiparametric Smooth Coefficient Approach and the Case of Telecommunications in China

“…It is noted by many studies (e.g., Estach and Garsous ; Hardy ; Zhang and Ji ) that different infrastructure systems may differ from each other in terms of their overall impacts and how they affect economic performance. If so, the differences can be expected to manifest in the various infrastructure‐growth linkages and nonlinearity and parameter heterogeneity which the SPSC model intends to capture.…”

Rethinking regions in turbulent times

“…Although case study evidence for single regions may provide important insights (e.g., Beel, Jones, & Plows, 2019;Bellandi & Santini, 2019;Liu, Lattemann, Xing, & Dorawa, 2019), the specific character and the relevance of regional conditions can often be more convincingly demonstrated in an interregional comparison (see also Morrison & Doussineau, 2019). Regional Studies also welcomes research based on regions throughout the world, and recent contributions have included a focus on China (e.g., Liu, 2019;Zhang & Ji, 2019), Rwanda (e.g., Nilsson, 2019), Japan (e.g., Okamuro, Nishimura, & Kitagawa, 2019), the United States (e.g., Eisenburger, Doussard, Wolf-Powers, Schrock, & Marotta, 2019); Canada (e.g., Brydges & Hracs, 2019) and Europe (e.g., Ezcurra & Rios, 2019), as well as cross-country comparison (e.g., Jones, 2019).…”