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This study investigates the factors that impact the diffusion of sustainable new technologies (SNTs) in nations. The article focuses on four country-level variablesdevelopment status, focus on sustainability, innovation focus, and type of government-and their relationship with SNT diffusion. In addition to using regression to assess the independent variables' sufficiency, necessary condition analysis is used to analyze the necessity of the variables for SNT diffusion. Data consisted of a 10-year panel data set containing sales of electric vehicles from 2008 to 2017 across 89 countries. Results suggest a significant correlation between the development status of a country and diffusion levels of SNT. Similar results were found for focus on sustainability and innovation focus variables. Finally, relatively established SNT diffusion is affected by government type. Development status, focus on sustainability, and innovation focus were necessary for the diffusion of SNT in a country. In contrast, the absence of dictatorial regimes was also found to be necessary.

PurposeThis study compares the performance of female majority-owned new ventures (FNV) vs. male majority-owned new ventures (MNV). It analyzes the differences in levels of variables such as education, the same industry work experience of owners, and other venture level attributes between FNVs and MNVs. More importantly, this study employs decomposition techniques to determine the individual contribution from the intergender difference of each attribute on the performance of the new venture. For example, the study finds that, on average, the owners of an MNV possessed 3.4 years more of the same industry work experience than their FNV counterparts. This difference in work experience accounted for 47% of the “explained” gap [1] in Net Profits between the FNVs and MNVs.Design/methodology/approachThis paper utilizes the Kauffman Firm Survey, a longitudinal dataset of 4,928 new ventures started in the USA in 2004. It employs Blinder-Oaxaca and Fairlie decomposition techniques in conjunction with OLS and Logit regressions. Both methods provide point estimates of contributions to the performance gap due to the heterogeneity in each attribute across the groups (FNV and MNV). This approach has a significant advantage over OLS or mediation analysis, which can only provide a directional analysis of the contributions of differences in attributes to performance.FindingsThe paper finds no performance gap between MNVs and FNVs. It further investigates whether the heterogeneous characteristics of MNVs vs FNVs are related to different effects on survival and performance. It finds that characteristics such as owners’ work experience in the same industry, average hours worked by owners in the new venture, the technology level of the venture, and its incorporation status are related with a differential impact on new venture survival and performance.Research limitations/implicationsAll firms in the dataset belonged to a single cohort (2004) of new ventures started in the US. Future studies are encouraged to develop a dataset from multiple geographies and founding over several years so that the results may be more generalizable.Practical implicationsThe paper provides crucial practical guidance to policymakers, investors, and entrepreneurs. In general, policies that enhance the work experience of women entrepreneurs and provide access to infrastructure such as daycares, which may allow them to work more hours, would probably improve the performance of FNVs.Originality/valueThe paper furthers the literature on women entrepreneurship by analyzing point estimates of differential contribution of disparate variables to performance. From a methodological perspective, the study reconciles the results between regression and decomposition analyses.

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