Structural change

We propose a new single deflation method to expand real value added data coverage for INDSTAT. Our approach enables us to derive an extensive data set with notably higher data coverage vis-a-vis other large cross-country data sets, particularly for low(er) income economies. This allows us to measure the performance of the manufacturing sector in unprecedented detail and accuracy.

This paper examines the dynamics of deindustrialization in developed countries during the 1970–2015 period. The paper shows that deindustrialization is a persistent pattern that experienced a significant structural change in the post-1990 period, in which the acceleration of globalization with the rise of North-South trade appeared to have a significant effect.

This chapter revisits the debates on structural change in the tradition of Chenery and his associates. It examines the findings of Chenery in the light of more recent data. By and large it finds that the conclusions of Chenery stand the test of time.

The analysis presented in this chapter highlights the dynamic and heterogeneous nature of structural change within manufacturing and delineates a path of inclusive manufacturing development for pro-poor growth. In doing so it illustrates the continuous importance of manufacturing development and the key role of industrial policy design.

New empirical evidence on the impact of industrialization on social and environmental sustainability goals. This introductory chapter endeavoured to investigate the multi-faceted interlinkages between industrialization—itself a highly complex process—and both socio-economic and environment-related SDGs, which are equally complex.