We extend the theory of the multinational enterprise and the institutional perspective of strategy by exploring subsidiary-specific advantages as a driver of subsidiary exports. We distinguish between the factors influencing whether or not subsidiaries are exporting (export propensity) and those determining the share of sales that are exported (export intensity). The former are argued to be largely associated with the relative resource position of the subsidiary and the latter primarily with the character of the host institutional environment.We provide empirical support for these arguments through a Heckman two-stage selection model estimation using a unique primary dataset of foreign owned affiliates in Hungary, Poland, India and South Africa, Egypt and Vietnam. In particular, the quality of the host institutional environment does not affect export propensity which depends on subsidiary specific advantages in terms of geographic location, acquired resources and small scale of the parent MNE. However, export intensity is lower where the institutional environment has a higher level of economic freedom.

We present findings from three waves of a population-representative, UK time-use diary survey conducted both pre- and in real time during full ‘lockdown’, and again following the easing of social restrictions. We used an innovative online diary instrument that has proved both reliable and quick-to-field. Combining diary information on activity, location, and co-presence to estimate infection risks associated with daily behavior, we show clear changes in risk-associated behavior between the pre, full-lockdown and post full-lockdown periods. We document a shift from more to less risky daily behavior patterns (combinations of activity/location/co-presence categories) between the pre-pandemic pattern and full lockdown in May/June 2020, followed by a reversion (although not a complete reversal) of those patterns in August 2020 following the end of the first lockdown. Because, in general, a populations’ time use changes relatively slowly, the behavioral changes revealed may be interpreted as a consequence of the UK COVID-19 lockdown social restrictions and their subsequent relaxation.

The past 25 years have been characterised by a surge in international trade as economies have become increasingly inter-linked. In many advanced economies this surge has been associated with increased import competition from low-wage economies. This paper explores the effects of such competition on manufacturing jobs in the UK. We consider two developments that influenced the nature of international trade: the ascendency of China as an important player in global markets and the accession to the European Union of a number of Eastern European economies in 2004. Both of these changes were associated with a shift in trade regimes and led to a sharp rise in import competition in particular UK manufacturing sectors. We find that these changes are likely to have hastened the decline of UK manufacturing.

Unilateral preferences aim at increasing exports from developing countries via reductions on applied tariffs and the incentives created by the preference margin. After decades of existence the evidence as to the extent to which preferential schemes have been genuinely effective in increasing exports is mixed. This paper evaluates the impact of the European Union's (EU) unilateral preferential regimes on the exports of developing countries using a bilateral gravity model at the product level. We use a unique dataset that allows us to determine the actual tariff rate paid by each export flow at the product level (Combined Nomenclature CN-10 digits) to the EU and the preferential regime of entry. This allows us to accurately specify the impact of each trade regime and to properly address the issue of utilisation and non-utilisation of trade preferences. The most important findings of the paper are that unilateral preferences have been effective in increasing exports to the EU both as a result of the direct effect of lower tariffs and positive preference margin, and because of secondary effects associated with the preference regimes; although the outcome of these secondary effects depends on the margin of trade considered.

How did people change their behavior over the different phases of the UK COVID-19 restrictions, and how did these changes affect their risk of being exposed to infection? Time-use diary surveys are unique in providing a complete chronicle of daily behavior: 24-h continuous records of the populations’ activities, their social context, and their location. We present results from four such surveys, collected in real time from representative UK samples, both before and at three points over the course of the current pandemic. Comparing across the four waves, we find evidence of substantial changes in the UK population’s behavior relating to activities, locations, and social context. We assign different levels of risk to combinations of activities, locations, and copresence to compare risk-related behavior across successive “lockdowns.” We find evidence that during the second lockdown (November 2020), there was an increase in high-risk behaviors relative to the first (starting March 2020). This increase is shown to be associated with more paid work time in the workplace. At a time when capacity is still limited both in respect of immunization and track–trace technology, governments must continue to rely on changes in people’s daily behaviors to contain the spread of COVID-19 and similar viruses. Time-use diary information of this type, collected in real time across the course of the COVID-19 pandemic, can provide policy makers with information to assess and quantify changes in daily behaviors and the impact they are likely to have on overall behavioral-associated risks.