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This paper describes a systematic literature review of how market-based instruments can influence the development of sustainable innovation. Our analysis of empirical papers published in selected peer-reviewed journals from 1992 to 2021 shows that contextual factors such as geography and industrial sector impact whether market-based instruments successfully stimulate firms to adopt sustainable innovation. Interestingly, while most of our selected papers on East Asia report positive effects of market-based instruments, about half of the papers on Europe report negative or non-significant effects. Moreover, we appear to uncover a link between the research method they use for analysis and the observed effectiveness of market-based instruments. We reflect on the limitations and bias in current methodological approaches and discuss explanations for our findings, implications for policymakers, and avenues for future research. • We review the effect of market-based instruments on sustainable innovation. • Results from 76 empirical papers show mixed effects. • The observed effect appears to depend on geography and the research method applied. • Instruments appear more effective in East Asia than in Europe. • Reported effectiveness is higher in studies using patent data versus surveys. [ABSTRACT FROM AUTHOR]

Abstract: Since the open door policy in 1978 China has undergone enormous economic and social changes making China to be one of the largest economies and consumers of resources in the world. The pronounced differences in income and lifestyles especially between urban and rural China were also part of China''s economic rebirth. This paper explores current trajectories and scenarios for urbanization and lifestyle changes and other important socio-economic trends in China. The implications of these changes are analysed for Beijing in particular and then compared to China for the year 2020. These changes by 2020 are modelled using input–output analysis in combination with the Ecological Footprint and Water Footprint. [Copyright &y& Elsevier]