Agglomeration economies’ influence on logistics clusters’ growth and competitiveness

Associated Economy - Wide Effects of Transport and Logistics Clusters

“…However, the rates of employment growth were lower than output growth with the highest growth rate of 2% experienced in the municipalities with smaller transport and storage sector contributions to output, namely Ditsobotla and Kagisano/Molopo local municipalities. Hylton and Ross (2018) found associations between high growth rates and and the number of logistics firms in the cluster. This implies that transport and logistics clusters attract more firms to locate and operate in the region, thus increasing sectoral output and employment.…”

“…Duschl et al (2015) and Rivera et al (2014) found higher employment rates in logistics clusters compared to that in non-clusters. Hylton and Ross (2018) found mild effects of logistics clustering on growth. Furthermore, it has been shown that spatial clusters have a strong positve association with transport infrastructure investment (Yu et al, 2012).…”

“…Logistics is derived demand for transport and warehousing resulting from other activities such as the need to transport raw materials to production factories and the need for storage and distribution of finished goods to retail locations (Prause, 2010). Logistics clusters are geographic concentrations of transport and logistics service providers including transport carriers, warehouses, forwarders, third-party logistics service providers and companies with logistics-intensive operations (Hylton & Ross, 2018). These clusters also typically include the logistics operations of industrial firms such as the distribution centres of retailers and aftermarket parts suppliers (Sheffi, 2010;.…”

Spatial Patterns of Production-Distribution-Consumption Cycle: The Specifics of Developing Russia

“…The differences in production capabilities are manifested in both positive and negative interrelationship of territories (Capello 2009). These dependencies are under active consideration within methods of spatial statistics, which make it possible to evaluate the spatial autocorrelation of indicators characterizing production (Dai et al 2017), distribution (Hylton and Ross 2017;Tian and Zhang 2019), and consumption (Khushi et al 2020).…”

“…Across supply chain researches, product transportation distance is pivotal as it determines costs businesses (Bravo and Vidal 2013). However, another aspect is studied not so much to the distance but the nature of the relationship between manufacturers, distributors, suppliers, customers, which reflects their ability to interact to jointly address issues (Lawson et al 2019) and form clusters (Hylton and Ross 2017). It is often vital to understanding whether distributors, suppliers, wholesalers positively or negatively affect the ability of manufacturers to sell manufactured goods and how well do they perform their functions (Tian and Zhang 2019).…”