Technological Innovation and Structural Unemployment

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

“…Human input R&D personnel full-time equivalent Chen [14] Resources input Per unit GDP energy consumption Liu [17] Capital inputs Fiscal expenditure on science and technology Zhang [15]; Clausen [34] Internal R&D expenditures Sueyoshi [16] Output indicators Technological benefit Number of invention patents granted Liu [17]; Cuerva [35] Economic benefit Revenue from new product sales Liu [9]; Cuerva [35] Environmental benefit Comprehensive environmental treatment rate Du [18]; Song [36] Undesirable outputs Number of unauthorized patents Feng [19]; Carayannis [37] "Green governance" inflation pressure LYU [38] "Transformative" unemployment rate Reiff [39] technology aspect. The input of green innovation forces the urban industry to transform from labor-intensive to technology-intensive and capital-intensive industries.…”

“…The input of green innovation forces the urban industry to transform from labor-intensive to technology-intensive and capital-intensive industries. This will lead to the creation of a large number of new jobs, but the transition from low-end industries to high-end industries will be accompanied by structural unemployment and "transitional" unemployment, which is one of the socially undesirable outputs [39]. At the same time, increasing the city's investment in green innovation will cause large-scale agglomeration of production factors, subject to the constraints of the external environment.…”

Diffusion of Innovations and Labor Market Challenges: A Multiple Case Study from Angola

“…Yet, Vivarelli (2014) reported that the most massive technological unemployment in history had not occurred since the first industrial revolution. Faced with many controversies, researchers argued that technology is far less likely to be linked to job creation in the long run (Reiff, 2015;Ugur & Mitra, 2017). Additionally, evidence indicated that technology adoption could be biased and for such reason it could displace unskilled workers, causing further joblessness (Amavilah, 2016).…”

“…Danquah and Amankwah-Amoah's research in 45 sub-Saharan African countries over five decades revealed a decline of 0.08% for innovation and a moderate increase of 1.7% of technology adoption. Reiff (2015) concluded that there is a gap in literature that clearly states that technological innovations often end up generating economic and societal gaps, resulting in an ambiguous connection between theory, academia, and professional practice.…”

“…These contrasts drove governments in sub-Saharan Africa to stall in the diffusion of innovation needed in local communities to spur on economic development (Dutz et al, 2014;Gudmundsdottir, 2010). Reiff (2015) reported that there is no current literature that clearly defines the socioeconomic benefits of technological innovations among impoverished communities, resulting in an ambiguous connection between theory, academia, and professional practice.…”