Climate change has taken an increasingly important space in the development agenda. However, whether most countries can meet the challenge of mitigating climate change while simultaneously ensuring growth and poverty reduction remains debatable. This research contributes to the growing literature at the intersection of environment sustainability and economic/industrial development by identifying three dimensions of Green Industrial Policy (GIP), which rely on different approaches to mitigate climate change. Those three dimensions are: (i) the consumption-centred dimension; (ii) the firm-level sustainability dimension, (iii) the productionist innovation-driven dimension. This paper then applies this green industrial policy framework and examines the implications of pursuing different levels of GIP by drawing on a country case study (Ecuador). Two main findings arise from this study. Firstly, a greener consumption is necessary but can hardly be achieved without industrial policies to stimulate green manufacturing and low carbon innovation. Green industrial policy therefore has a central role to play in the structural transformation towards a low carbon future. Secondly, a holistic and complementary approach is needed across the three dimensions of green industrial policy to ensure a coherent and developmental transition towards a low carbon economy.

This paper explores the relationship between inward Foreign Direct Investments and the adoption of industrial robots, across different segments of the automotive value chain. Using the International Federation of Robotics and fDiMarket datasets at a fine level of disaggregation of the automotive sector, we investigate the extent to which FDIs are related to the operational stock of industrial robots in 34 countries over the period 2005-2014. We find distinct patterns linking FDIs and robot adoption for different groups of countries and for different segments of the automotive value chain, that, is assembling and components production. With some relevant exceptions, FDIs are found to be highly correlated with robot adoption in the assembling segment across major leading countries. However, this correlation becomes weak for components production. To explain this differential role of FDIs in robot adoption, we formulate hypotheses around the country-specific drivers of robotisation for the components segment by pointing to the role of domestic ecosystems of suppliers and industrial policy as drivers of technology absorption and diffusion.

This paper explores the relationship between inward Foreign Direct Investments and the adoption of industrial robots, across different segments of the automotive value chain. Using the International Federation of Robotics and fDiMarket datasets at a fine level of disaggregation of the automotive sector, we investigate the extent to which FDIs are related to the operational stock of industrial robots in 34 countries over the period 2005-2014. We find distinct patterns linking FDIs and robot adoption for different groups of countries and for different segments of the automotive value chain, that, is assembling and components production. With some relevant exceptions, FDIs are found to be highly correlated with robot adoption in the assembling segment across major leading countries. However, this correlation becomes weak for components production. To explain this differential role of FDIs in robot adoption, we formulate hypotheses around the country-specific drivers of robotisation for the components segment by pointing to the role of domestic ecosystems of suppliers and industrial policy as drivers of technology absorption and diffusion.

PurposeThis paper focuses on understanding firm-level determinants of industrial robots' adoption and how these determinants result in heterogenous processes of robotisation across firms within the same sector. The paper presents results from in-depth case studies of final assemblers in the South African automotive sector.Design/methodology/approachThe research has been conducted through multiple case studies with a focus on final assemblers. During the case studies, as well as before and after it, data coming from in-depth semi-structured interviews were triangulated with secondary data available from the international database on industrial robots' adoption and documents provided by firms and institutions.FindingsThis paper identifies three firm-level determinants of robotisation – i.e. modularity of the production process, flexibility in the use of technology and stability in product design. The results also showed that firms' robotisation depend on each of these determinants as well as their interdependence. The authors introduce a framework to study interdependence between these technology–organisational choices, which reveals heterogenous patterns of technology deployment and related managerial implications.Originality/valueThis research introduces a new framework on factors driving industrial robotisation – a key digital production technology – and offers empirical evidence of the heterogenous deployment of this technology. The authors identify two main manufacturing approaches to robotisation in the automotive sector: one in which the firm designs a robotised process around a certain product design – i.e. the German/American way and one in which the firm designs its product based on certain robotised processes – i.e. the Japanese way. These findings are valuable for both industry, operational research and the scientific community as they reveal heterogeneity on the “how” of robotisation and implications for manufacturing technology management.