
handle: 10419/245637 , 1959.4/unsworks_76950
Abstract We use the 2012–2018 China Family Panel Studies data to examine the relationship between household energy poverty and an individual's probability of becoming an entrepreneur. Consistent with the theory of underdog entrepreneurship that negative personal circumstances can foster self-reliance, resourcefulness and other skills and personality traits conducive to entrepreneurship, we find that spending a higher share of household income on energy consumption or being energy poor increases the probability of being an entrepreneur. The results are robust to various checks, including alternative measures of energy poverty, non-linear effects of the share of energy spending in household income, past entrepreneurial experience, alternative estimation methods and potential omitted variable bias. We also explore the channels through which energy poverty influences whether one chooses to become an entrepreneur. We find that cognitive functions, mental health and self-confidence negatively mediate, while self-belief, extroversion and openness positively mediate, the relationship between energy poverty and entrepreneurship.
anzsrc-for: 3801 Applied Economics, Q41, China, 330, L26, 38 Economics, entrepreneurship, Basic Behavioral and Social Science, anzsrc-for: 0913 Mechanical Engineering, energy poverty, 3801 Applied Economics, Behavioral and Social Science, Tourism and Services, I32, anzsrc-for: 0906 Electrical and Electronic Engineering, ddc:330, anzsrc-for: 35 Commerce, 35 Commerce, 3502 Banking, anzsrc-for: 3502 Banking, Management, Mental Health, 3802 Econometrics, anzsrc-for: 38 Economics, Finance and Investment, 7 Affordable and Clean Energy, anzsrc-for: 1402 Applied Economics, anzsrc-for: 3802 Econometrics
anzsrc-for: 3801 Applied Economics, Q41, China, 330, L26, 38 Economics, entrepreneurship, Basic Behavioral and Social Science, anzsrc-for: 0913 Mechanical Engineering, energy poverty, 3801 Applied Economics, Behavioral and Social Science, Tourism and Services, I32, anzsrc-for: 0906 Electrical and Electronic Engineering, ddc:330, anzsrc-for: 35 Commerce, 35 Commerce, 3502 Banking, anzsrc-for: 3502 Banking, Management, Mental Health, 3802 Econometrics, anzsrc-for: 38 Economics, Finance and Investment, 7 Affordable and Clean Energy, anzsrc-for: 1402 Applied Economics, anzsrc-for: 3802 Econometrics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 62 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
