Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior

We link the county-level rollout of stay-at-home orders during the Covid-19 pandemic to anonymized cell phone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay home: county-level measures of mobility declined 6-7% within two days of when the stayat-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: small businesses and large retail chains. Third, we estimate fairly uniform responses to stay-at-home orders across the country; effects do not vary by county-level income, political leanings, or urban/rural status.

Understanding immigrant entrepreneurship: a home-country entrepreneurial ecosystem perspective

PurposeGiven the importance of immigration and immigrant entrepreneurs in advanced economies, the authors take an entrepreneurial ecosystem perspective to study the home-country benefits possessed by immigrant entrepreneurs and how home-country entrepreneurial ecosystem factors affect immigrant entrepreneurial motivations, activities and outcomes.Design/methodology/approachThis conceptual research paper follows McGaghie, Bordage and Shea's (2001) four-step new theory creation process, which suggests that new theories can be created through facts extraction from the extant literature.FindingsThe authors propose that although immigrant entrepreneurs are unable to take full benefit of the host-country entrepreneurial ecosystem due to blocked mobility, they do have capabilities to access and use their home-country entrepreneurial resources and opportunities. The authors further propose that home-country entrepreneurial capital can be systemically analyzed through the framework of the entrepreneurial ecosystem. The results imply that immigrant entrepreneurship as a social and economic phenomenon can be studied more holistically from both host- and home-country perspectives compared to the traditional research boundary of the host-country only.Research limitations/implicationsThe research focuses on the identification of home-country effects on immigrant entrepreneurship through the lens of the entrepreneurial ecosystem. Testable propositions provide directions for future empirical research on the field of immigrant entrepreneurship from a home-country perspective. The research concludes that a holistic immigrant entrepreneurship study should consider dual (host- and home-country) entrepreneurial ecosystems.Practical implicationsImmigrant entrepreneurs benefit from both host- and home-country entrepreneurial ecosystems. This paper suggests co-effects of dual entrepreneurial ecosystems lead to a high rate of entrepreneurship and business success within some immigrant groups. Policymakers can increase economic activities by developing and deploying programs to encourage immigrants to embed in host- and home-country entrepreneurial ecosystems.Originality/valueBased on the framework of the entrepreneurial ecosystem, this paper brings a novel perspective to examining home-country effects on immigrant entrepreneurship. It theoretically conceptualizes that immigrants have higher entrepreneurship rates than native-born populations because they have access to extra home-country entrepreneurial capital.

Productivity in the Agricultural Sector: A Global Outlook from a Latin American Perspective

Agricultural productivity has been the focus of intense scrutiny since the time of Adam Smith. In this article, we focus on agricultural productivity from two perspectives. First, we provide estimates of total factor productivity (TFP) growth for a panel of 79 countries over a period of approximately 60 years. Second, we investigated the potential determinants of productivity growth, which include infrastructure, macroeconomic variables, and variables related to climate change. We find that productivity varies greatly across countries, with leading countries showing annual agricultural productivity growth between 2% and 3%. In regards to productivity determinants, we find small within-country effects but significant between-country effects.