We use establishment-level data from the US Census Bureau's Annual Survey of Manufactures to study the characteristics and geographic locations of investments in robots. We find that the distribution of robots is highly skewed across locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presences of robot integrators, which specialize in helping manufacturers install robots, and of higher levels of union membership are positively correlated with being a Robot Hub.

We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments’ locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.

This study investigates whether and how financial technologies (FinTech) influence the effectiveness of monetary policy transmission. We use an interacted panel vector autoregression model to explore how the effects of monetary policy shocks change with regional-level FinTech adoption. Results indicate that FinTech adoption generally mitigates the transmission of monetary policy to real GDP, consumer prices, bank loans, and housing prices, with the most significant impact observed in the weakened transmission to bank loan growth. The relaxed financial constraints, regulatory arbitrage, and intensified competition are the possible mechanisms underlying the mitigated transmission.

The impact of environmental regulation on technology diffusion and innovations is studied using a unique data set of German residential buildings. We analyze how energy efficiency regulations, in terms of minimum standards, affects energy-use in newly constructed buildings and how it induces innovation in the residential-building industry. The data used consists of a large sample of German apartment houses built between 1950 and 2005. Based on this information, we determine their real energy requirements from energy performance certificates and energy billing information. We develop a new measure for regulation intensity and apply a panel-error-correction regression model to energy requirements of low and high quality housing. Our findings suggest that regulation significantly impacts technology adoption in low quality housing. This, in turn, induces improvements in the high quality segment where innovators respond to market signals.

The adoption of information and communication technology (ICT) can have far-reaching effects on the nature of production technologies. Because ICT adoption is incomplete, especially in developing countries, different groups of firms will have different production technologies. We estimate a latent class stochastic frontier model, which allows us to test for the existence of multiple production technologies across firms and consider the associated implications for efficiency measures. We use a unique data set of Chilean retailers, which includes detailed information on ICT adoption. We find three distinct production technologies. The probability of membership in a more productive group is positively related to ICT use.

This study presents empirical insight into willingness to pay (WTP) for microgeneration technologies and the relative influence of subjective consumer perceptions. First, we apply a double-bounded-contingent valuation method to elicit Irish home owners’ willingness to pay for micro wind turbines, wood pellet boilers, solar panels and solar water heaters. Utilizing findings from the adoption of innovation literature, in a second step, we assess the influence of different antecedents on WTP for each of the four technologies, including (1) home owners’ perception of product characteristics, (2) normative influences, and (3) socio demographic characteristics. Our results show that WTP varies significantly between the four technologies. More importantly, however, home owners’ hold different beliefs about the respective technologies, which significantly influence their WTP. The results provide valuable information for marketers and policy makers, aiming to promote microgeneration technologies more effectively in consumer markets.

What makes households use internet banking? Bank adoption of internet banking technology has been widely considered, but relatively few papers address consumer usage of internet banking. This study looks at the determinants of internet banking usage among credit union members in the Western United States. We use call report data from the National Credit Union Administration to calculate the rate of internet banking usage among a credit union's members, which allows us to examine whether variations in institutional characteristics, local economic conditions and membership criteria have an impact on the internet usage rates among members of different credit unions. We find that members in credit unions that were early internet technology adopters have higher usage rates, and that the contribution to usage rates varies among types of online services offered.

Despite major policy and marketing efforts, the uptake of microgeneration technologies in most European countries remains low. Whereas most academic studies and policy reports aim to identify the underlying reasons why people buy these new technologies, they often fail to assess the general level of consumer awareness. The process of adopting an innovation, however, shows that awareness is a prerequisite which needs to be understood before adoption can be addressed. This paper takes a closer look at awareness of microgeneration and presents the results from a nationally representative study conducted in the Republic of Ireland. Findings from logistic regressions clearly indicate that awareness varies significantly between the individual technologies and customer segments. The paper concludes with implications for policy makers and marketers aiming to promote microgeneration technologies in consumer markets.

This paper investigates the forces driving output change in a panel of EU manufacturing industries. A flexible modeling strategy is adopted that accounts for: (i) inefficient use of resources and (ii) differences in the production technology across industries. With our model we are able to identify technical, efficiency, and input growth for endogenously determined technology clubs. Technology club membership is modeled as a function of R&D intensity. This framework allows us to explore the components of output growth in each club, technology spillovers and catch-up issues across industries and countries.

This paper investigates the driving forces of output change in 77 countries during the period 1970–2000. A flexible modeling strategy is adopted that accounts for (i) the inefficient use of resources, and (ii) different production technologies across countries. The proposed model can identify technical, efficiency, and input change for each of three endogenously determined regimes. Membership in these regimes is estimated, rather than determined ex ante. This framework enables explorations into the determinants of output growth and convergence issues in each regime.