Relying upon an original (country-sector-year) measure of robotic capital ($RK$), we investigate the degree of complementarity/substitutability between robots and workers at different skill levels. We employ nonparametric methods to estimate elasticity of substitution patterns between $RK$ and skilled/unskilled labor over the period 1995–2009. We show that: i) on average, $RK$ exhibits less substitutability with skilled workers compared to unskilled workers, indicating a phenomenon of “RK-Skill complementarity”. This pattern holds in a global context characterized by significant heterogeneity; ii) the dynamic of “RK-Skill complementarity” has increased since the early 2000s; iii) the observed strengthening is more prominent in OECD countries, as opposed to non-OECD countries, and in the Manufacturing sector, compared to non-Manufacturing industries.

This paper investigates the nexus between per capita income convergence and political institutions within the Eurozone. Employing data spanning the years 2002–2019, the research initially identifies multiple convergence clusters and subsequently examines the relationship between the creation of these clusters and different aspects of political institutions. The findings reveal that there are multiple steady states in the Eurozone, and their formation is notably influenced by political institutions alongside other conventional economic determinants derived from the Solow model. Furthermore, the study underscores that improvements in regulatory quality, as well as in aspects such as democracy, government effectiveness, and corruption control, positively impact income convergence across all member countries. These findings carry significant policy implications.

Even at long time horizons, modern outcomes are in some sense bounded by history. Culture shapes how people interact and as it propagates across generations, groups with more common ancestors face less frictions to cooperation. This, in turn, affects institutional and technological diffusion, implying a society's history plays a crucial role in the causes of sustained long-run economic growth. To test this, we follow other studies by proxying for historical effects with genetic relatedness, which yields a temporal proportionality of shared common ancestry. Measuring cultural traits are more challenging. We develop a new systematic measure through network analysis of Wikipedia. Connectivity statistics over the encyclopaedia's hyperlink-directed network captures unique features of cultural relatedness. Further, as we index pages, we can coarsen the network into specific topics. The results show how history correlates broadly over a range of cultural factors. Differences across the coarsened networks demonstrate not simply that history matters, but where it matters less.

This paper assesses Brazil's real convergence (1822–2019) through unit root tests and Markov Regime-Switching (MS) models in three different scenarios: towards (i) other six Latin American countries (LA6); (ii) Portugal; and (iii) the technological frontier country, the US. The extended unit root test results favour Brazil's very long-run real convergence towards LA6 and Portugal, but not the US. The estimated MS models, involving two different regimes, real convergence and real non-convergence/divergence, capture institutional quality's positive effect in promoting Brazil's real convergence.

In recent decades, the labour share has experienced a downward trend in Portugal at the same time as a weaker and anaemic growth pattern. This seems to suggest that the fall in the labour share represents an important constraint on Portuguese economic growth, which is contrary to the orthodox claims around wage restraint policies – namely, that such policies are a necessary condition of improved macroeconomic performance, owing to their positive effects on private investment through higher profits and on net exports through reduced unit labour costs and a corresponding rise in competitiveness. This study assesses the relationship between labour share growth and economic growth by performing a time series econometric analysis focused on Portugal from 1971 to 2021. Findings show that labour share growth has positively impacted on economic growth in Portugal, which is in line with heterodox claims and particularly with post-Keynesian economics on the beneficial effects on private consumption played by the growth of wages. Findings also confirm that the Portuguese economy has followed a wage-led growth regime instead of a profit-led growth regime; that is, a rise in wages increases aggregate demand and, therefore, boosts economic growth because its beneficial effect on private consumption more than compensates for a prejudicial effect on private investment and on net exports. The study points out the urgent need to adopt public policies to support the growth of wages to avoid more decades of dismal growth and a new ‘secular stagnation’ in Portugal.

This paper examines the effect of frontier academic research on technological development and the way institutional quality influences this impact. Using a dataset that covers 18 OECD countries over the 2003–2017 period, we find that frontier academic research exerts an important influence on total factor productivity. First, frontier academic research induces technological change by directly enhancing production processes and management methods. Second, frontier academic research stimulates industrial innovations, which in turn improves productivity. Regarding the moderating effect of institutional variables on these relationships, we find that positive moderation only exists for some, not all, of the institutional variables. In that case, a higher level of these variables is found to strengthen the way countries reap benefits from frontier academic research and industrial innovation. However, the moderation of institutions is much less clear with the process that turns frontier academic research into industrial innovations.

This article examines the key features of the UK’s spatial productivity relationships and discusses some of the key questions currently being articulated or debated as they relate to potential devolution-related discussions. The paper demonstrates that the local productivity challenges facing UK regions are nationwide in nature rather than local, and systemic rather than specific. In particular, the scale-productivity relationships across cities and regions which are evident in almost all other OECD countries are largely absent in the UK. Instead, previous prosperity is the dominant marker of current local prosperity, suggesting that cumulative causation processes define the UK regional and urban economic landscape rather than scale relations. This article explains these features in a manner which is accessible to a wide audience, in order to provide greater clarity regarding the fundamental economic problems to be addressed and also the underlying objectives which the Levelling Up agenda needs to achieve.

Over the past 15 years, productivity growth in advanced economies has significantly slowed, giving rise to the productivity paradox of the New Digital Economy – that is, the notion of increased business spending on information and communication technology assets and digital services without a noticeable increase in productivity. We argue that time lags are the most important reason for the slow emergence of the productivity effects from digital transformation. This paper provides evidence that underneath the slowing productivity growth rates at the macro level, signs of structural improvements can be detected. In the United States most of the positive contribution to productivity growth is coming from the digital producing sector. The Euro Area and the United Kingdom show larger productivity contributions from the most intensive digital-using sectors, although the United Kingdom also had a fairly large number of less intensive digital-using industries which showed productivity declines. We also find that increases in innovation competencies of the workforce are concentrated in industries showing faster growth in labor productivity, even though more research is needed to identify causality. Finally, we speculate that as the recovery from the COVID-19 recession gets underway the potential for significant productivity gains from digital transformation in the medium term is larger than during the past 15 years.

This paper studies the evolution of the Chilean economy in the late 19th and early 20th century, a period when the country's convergence with developed countries came to an end. We analyse this problem in the context of the modern literature on the middle-income trap. The social, political and economic history of Chile between 1875 and 1939 is examined and the presence of most of the factors associated with the middle-income trap is found. We complement this narrative through a quantitative analysis based on the synthetic control method and argue that the process of state-led industrialisation undertaken in the country leading to the formation of CORFO was a key economic and political event. Our work presents some general lessons for developing countries facing a similar context.

This article has used the method of instrumental variables to evaluate the impact of health services on the productivity of rural households’ farming labor in Burkina Faso. The distance from the household's homestead to the Health and Social Promotion Center (HSPC) was considered as an instrumental variable. The results revealed that resorting to a HSPC in case of an unexpected illness in the rainy season significantly improves the farm labor productivity by FCFA 3170.5880 per person-day. For improving agricultural productivity, we suggest that public decision-makers should focus on the availability and the quality of HSPC services in rural areas.

This paper reports on the availability of regional capital stock data,1 in the form of new/updated regional (NUTS2 level) capital stock estimates,2 building on an approach (Perpetual Inventory Method) which had been previously developed for the European Commission. The particular focus here is on the UK and how these data are used to shed light on regional labour productivity disparities. Using a NUTS2 level dataset constructed for the period 2000–16, we use a dynamic spatial panel approach from Baltagi et al. (2019) to estimate a model relating productivity to output (growth or levels) and augmented by explicit incorporation of capital stock plus various other covariates such as human capital. We find that regional variations in capital stocks per worker make a significant contribution to regional variations in labour productivity, but the geography of human capital is also highly relevant. Moreover, we give evidence to show that as human capital rises, notably as we move from the regions to London, the impact of capital stock per worker is less. The effect of capital stock depends on the level of human capital.

This paper explores the nature and scale of inter-regional and inter-urban inequalities in the UK in the context of international comparisons and our aim is to identify the extent to which such inequalities are associated with strong national economic performance. In order to do this, we first discuss the evolution of UK interregional inequalities relative to comparator European economies over more than a century. We then focus specifically on comparisons between the UK and the reunified Germany. These two exercises demonstrate that the experience of the UK has been rather different to other countries. We further explore UK inter-urban inequalities in the light of international evidence and then explain why observations of cities only tell us a partial story about the nature of interregional inequalities, especially in the case of the UK. Finally, we move onto an OECD-wide analysis of the relationships between economic growth and interregional inequality. What we observe is that any such relationships are very weak, and the only real evidence of a positive relationship is in the post-2008 crisis period, a result which points to differentials in regional resilience rather than inequality-led growth. Moreover, once former transition economies are removed from the sample, the relationship disappears, or if anything becomes slightly negative. As such, the international evidence suggests that the UK’s very high spatial inequalities have hampered, rather than facilitated, national economic growth.

Environmental economics models are often too complex to be communicated in an illustrative manner. For this reason, this paper develops the Basic Climate Economic (BCE) model that features core elements of macroeconomic and climate economic modelling, while allowing for an illustrative examination of the development path. The BCE model incorporates fossil stock depletion, pollution stock accumulation, endogenous growth, and climate-induced capital depreciation. We first use graphical analysis to show the effects of climate change and climate policy on economic development. Intuition for the different model mechanisms, the functional forms, and the effects of different climate policies is provided. We then show the model equations in mathematical terms to derive closed-form solutions and to run model simulations relating to the graphical part. Finally, we compare our setup to other models of climate economics.

On average, UK productivity performance in the decades leading up to the financial crisis was quite disappointing. Joining the EU was not to blame. Indeed, EU membership, which was an integral part of the Thatcher reform programme, had a significant positive impact. Over the long run, UK supply-side policies have been badly designed in various different ways. These design faults have not been the result of constraints imposed by EU membership but rather the consequence of domestic government failure. There is no reason to think that EU exit will lead, either directly or indirectly, to improvements in UK productivity outcomes.

UK labour productivity is significantly lower than that of many other similarly advanced economies and has been so for decades, with negative implications for UK living standards. To make matters worse, during the last ten years labour productivity growth has stalled in most industrialised countries, and particularly in the UK. This has led to a renewed policy focus on productivity growth, as evidenced by successive government productivity plans and efforts to re-invigorate industrial strategy. This paper reviews the evidence on UK productivity performance, identifying what we know about the causes of its weakness, what we do not know and what this means for policy. We review the evidence through the lens of developments in economic measurement, drawing in particular on the work of National Institute colleagues past and present, and with a view to the key measurement challenges ahead that, unlocked, will help us understand better what is holding back UK productivity.

We analyse TFP growth in the US business sector using a basic unobserved component model where trend growth follows a random walk and the noise is a first order autoregression. This is fitted using a Kalman-filter methodology. We find that trend TFP growth has declined steadily from 1.5 to 1.0 per cent per year over the past 50 years. Nevertheless, recent trends are not a good guide to actual medium-term TFP growth. This exhibits substantial variations and is quite unpredictable. Techno-optimists should not give best to productivity pessimists simply because recent TFP growth has been weak.

The process of structural transformation from the farm to a nonfarm sector is accompanied by technological change in both sectors and massive population growth. We investigate the effects of increasing population size (the population effect) and sector-specific productivity (the push and pull effects), both factor-neutral and factor-biased, in a parsimonious general equilibrium model under general forms of utility and production functions. All three effects may co-exist and interact in important ways. Generalizing the agricultural sector production function to CES is crucial for the population growth effect. Our analysis highlights how the relative importance of the three effects changes as the country develops and production and consumption conditions become more flexible.

This paper asks whether the level of integration of world countries in the international network of temporary human mobility can explain differences in their per-capita income and labor productivity. We disentangle the role played by global country centrality in the network from traditional openness measures, which only account for local, nearest-neighbor linkages through which ideas and knowledge can flow. Using 1995-2010 data, we show that global country centrality in the international temporary human-mobility network enhances both per-capita income and labor productivity. Our results hold cross-sectionally, as well as in a dynamic-panel estimation, and take into account potential endogeneity issues. Our findings imply that how close a country is to the theoretical technological frontier, depends not only on how much she is open to temporary human mobility, but mostly on whether she is embedded in a web of relationships connecting her with other influential partners in the network. Our exercises also suggest that most of the gain in income and productivity can be attained if country centrality in the network comes mostly from influential partners that lie not too far away from, but neither too close to them in the network.

The role of farm dependency and size on rural economic growth is examined with data from 2,240 nonmetropolitan U.S. counties for the period 1990–1995. A simple neoclassical model of regional economic growth is set forth with a central question relating to the role of agriculture on rural economic convergence. Traditional neoclassical theory predicts that poor rural areas should grow proportionally faster than rich areas. As interpreted in the academic literature and popular press, a preponderance of small family farms should enhance growth. Results suggest that a higher level of local dependence on production agriculture could lower growth rates.

This paper examines the linkages among agricultural total factor productivity, farm size, and farm household participation in the off-farm labor market for the Southeastern states for the period 1960-1996. We find evidence of a simultaneous relationship between productivity and measures of farm structure. The results support the expected relationships between the endogenous variables, namely that productivity and farm size are positively related, farm size and off-farm work participation are negatively related, and off-farm work and productivity are negatively related. We find positive and significant impacts of government policies (investments in public research, extension, and highways) on productivity growth.