By integrating research on product design with ideas from marketing and consumer perceptions, this paper formulates a set of coherent hypotheses about the effects of tripartite design dimensions on consumer perceptions and responses. We conduct two surveys on incremental and radical technology innovations, respectively, and accordingly get two different samples to test the hypotheses. Empirical results reveal that the effects of aesthetic and functional dimensions on consumer purchase intention and word of mouth vary across two types of innovations. Specifically, for incrementally innovative products, aesthetic and functional dimensions influence consumer purchase intention and word of mouth, both directly and indirectly, through the mediation of consumer perceived quality. By contrast, for radically innovative products, the effects of aesthetic and functional dimensions on purchase intention and word of mouth are totally mediated by perceived quality. Additionally, the effects of symbolic dimension on consumer perceptions and responses achieve consistency across radical and incremental technology innovations. That is, the higher the level of symbolic dimension, the stronger purchase intention and the better word of mouth there will be, whereas the direct influence of symbolic dimension on perceived quality is not significant in either innovation category.

The complex relationship between environmental regulation and green technology progress has always been a hot topic of research, especially in developing countries, where the impact of environmental regulation is important. Current research is mainly concerned with the impact of the single environmental regulation on technological progress and lacks study on the diversity of environmental regulations. The main purpose of this paper is to examine the heterogeneity of the effects of different types of environmental regulation on industrial green technology progress. As China’s scale of economy and pollution emissions are both large, and the government has also made great efforts in environmental regulation, this paper takes China as the example for analyses. We first use the EBM-GML method to measure the industrial green technology progress of 30 provinces in China from 2000 to 2018, and then apply the panel econometric model and threshold model to empirically investigate the influence of 3 types of environmental regulation. The results show that, first, the impacts of environmental regulation on industrial green technology progress are significantly different; specifically, command-based regulation has no direct significant impact, and autonomous regulation has played a positive role, and market-based regulation’s quadratic curve effect is significant, in which the cost-based and investment-based tool presents an inverted U-sharped and U-sharped, respectively. Second, there may be a weak alternative interaction among different types of environmental regulation. Third, a market-based regulatory tool has a threshold effect; with the upgrading of environmental regulation compliance, the effect of a cost-based tool is characterized by “promotion inhibition”, and that of an investment-based tool is “inhibition promotion”. Finally, the results of regional analysis are basically consistent with those of the national analysis. Based on the study, policy enlightenment is put forward to improve regional industrial green technology progress from the perspective of environmental regulation. This paper can provide a useful analytical framework for studying the relationship between environmental regulation and technological progress in a country, especially in developing countries.

Technology, market, and design are important driving forces for enterprise innovation activities. Unfortunately, their combined effects on exploratory and exploitative innovations are less clear, especially for micro and small businesses critical to the economy. By using data from a two-stage survey of 357 micro and small-sized tech enterprises (MSTEs) in the fast-developing region of Foshan, this study investigates how diverse complementarities between technology, market, and design capabilities contribute to exploratory innovation and exploitative innovation. The results reveal how distinct contributions from the capabilities affect exploratory and exploitative innovations in differentiated ways. Specifically, exploratory innovation benefits from the three-way complementarity of technology, market, and design capabilities, whereas exploitative innovation only benefits from the two-way complementarities between technology and market capabilities and between market and design capabilities. These findings contribute to the resource-based view (RBV) literature, while providing managers with guidelines to improve capability investment and allocation decisions that foster exploratory and exploitative innovations.

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Under the pressure of low-carbon development at county level in China, this paper takes Jiangsu province as an example to analyze the relationship between economic growth and carbon emissions, aiming to provide a reference for the low-carbon development in Jiangsu and other regions in China. Based on the county-level panel data from 2000 to 2017, this paper uses the Tapio elasticity model and environmental Kuznets curve model, and focuses on the differences in regional economic development and the impacts of the 2008 global economic crisis. The results show that, in general, the decoupling effect of carbon emissions in Jiangsu counties has gradually increased during the study period. Since 2011, all counties achieved the speed decoupling, with more than half of them showing strong decoupling. The environmental Kuznets curves of carbon emissions in different income groups are established, and changed before and after the 2008 global economic crisis. In 2017, only 10 of the 53 counties were on the right side of the curve, realizing the quantity decoupling between the two. Therefore, to achieve a win–win situation between carbon emission reduction and economic growth, efforts should be made from the aspects of industrial structure and energy efficiency, and measures should be taken according to local conditions.