Productivity, payback and what actually pays
Measured outcomes rather than vendor projections: productivity effects, investment appraisal, and the gap between the two.
10 works. Metadata and abstracts from OpenAlex, harvested 2026-10-14. We have not summarized, graded or characterized this research ourselves, and the abstracts below are the authors' own.
Robots at Work
We analyze for the first time the economic contributions of modern industrial robots, which are flexible, versatile, and autonomous machines. We use novel panel data on robot adoption within industries in seventeen countries from 1993 to 2007 and new instrumental variables that rely on robots’ comparative advantage in specific tasks. Our findings suggest that increased robot use contributed approximately 0.36 percentage points to annual labor productivity growth, while at the same time raising total factor productivity and lowering output prices. Our estimates also suggest that robots did not significantly reduce total employment, although they did reduce low-skilled workers’ employment share.
Robots and Firms
We study the microeconomic implications of robot adoption using a rich panel data set of Spanish manufacturing firms over a 27-year period (1990-2016). We provide causal evidence on two central questions: (1) Which firm characteristics prompt firms to adopt robots? (2) What is the impact of robots on adopting firms relative to non-adopting firms? To address these questions, we look at our data through the lens of recent attempts in the literature to formalise the implications of robot technology. As for the first question, we establish robust evidence for positive selection, i.e., ex ante better performing firms (measured through output and labour productivity) are more likely to adopt robots. On the other hand, conditional on size, ex ante more skill-intensive firms are less likely to do so. As for the second question, we find that robot adoption generates substantial output gains in...
Robot adoption and energy performance: Evidence from Chinese industrial firms
Industrial robots and firm productivity
Robot adoption and export performance: Firm-level evidence from Spain
Robot Imports and Firm-Level Outcomes
We use French data over the 1994-2013 period to study how imports of industrial robots affect firm-level outcomes. Guided by a simple model, we develop a novel empirical strategy to identify the causal effects of robot adoption. Our results suggest that, while demand shocks generate a positive correlation between robot imports and employment at the firm level, exogenous exposure to automation leads to job losses. We also find that robot exposure increases labour productivity and some evidence that it may raise the relative demand for high-skill professions.
Understanding the key takeaway of construction robots towards construction automation
Purpose The construction industry is the major sector in China but it has been exposed to a series of problems including low productivity and workforce shortage. However, construction robots as an effective and sustainable approach to overcome the difficulties in construction industry have not been widely adopted. Few studies attempted to investigate on the adoption of construction robots in China. In order to fill this gap, this study aim to address the barriers to the adoption of construction robots in China. Design/methodology/approach Through literature review, semi-structured interview 24 factors hindering the adoption of construction robots are summarized. Next, a total of valid 150 questionnaires delivered to the 7 stakeholders were collected. Ranking analysis was used to identify 21 critical factors was determined by the mean score analysis and factor analysis extracted 21...
Is this time different? How Industry 4.0 affects firms’ labor productivity
Does Industry 4.0 technology adoption push firms’ labor productivity? We contribute to the literature debate, mainly focused on robotics and large firms, by analyzing adopters’ labor productivity returns when micro, small, and medium enterprises (MSME) are concerned. We employ original survey data on Italian MSMEs’ adoption investments related to a multiplicity of technologies and rely on a difference-in-differences estimation strategy. Results highlight that Industry 4.0 technology adoption leads to a 7% increase in labor productivity. However, this effect decreases over time and is highly heterogeneous with respect to the type, the number, and the variety of technologies adopted. We also identify potential channels explaining the labor productivity returns of technology adoption: cost-related efficiency, new knowledge creation, and greater integration/collaboration both within the...
Robots and the rise of European superstar firms
We study how a recent digital automation technology, industrial robots, is associated with the distribution of sales, productivity, markups, and profits within industries. Our empirical analysis combines data on the industry-level stock of industrial robots with firms' balance sheet data for six European countries from 2004 to 2013. We find that industries with high robot exposure are characterized by dis-proportional increases in productivity in those firms that are already most productive to begin with. Those firms are able to increase their markups and overall profits, while less profitable firms within the same industry, country and year tend to see declining markups and profits. We also find that variation in robot exposure across industries is correlated with declining labor income shares, mainly through adjustments within firms that are initially large, productive and have low...
Robot adoption and export performance: evidence from Chinese industrial firms
Purpose As a new research interest, robots have surpassed human performance across several aspects. In this research, the authors wish to investigate whether robot adopters perform better than non-adopters in terms of export behavior, especially when distinguishing between different types of firms. Design/methodology/approach The authors try a new strategy to identify the extent of robot adoption by import data and compare the export trajectories of robot adopters and non-adopters by employing the propensity score matching-difference in difference (PSM-DID) method. Findings The authors find that robot adopters are more likely to enter export markets and improve subsequent export performance, as the gains from doing so can spread the reduction in variable production costs to a larger customer base abroad. But this rule does not always seem to work; for large-scale firms, robot adoption...
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