This article presents an estimation of a stochastic frontier model using a translogarithmic production function to identify the impact of production factors - labor and capital - along with CO2 emissions and technical progress on the value added of the manufacturing sector in North American...

Elite economics PhD programs aim to train graduate students for a lifetime of academic research. This paper asks how advising affects graduate students' post-PhD research productivity. Advising is highly concentrated: at the eight highly-selective schools in our study, a minority of advisors do...

This paper investigates the impact of on-the-job training on labour productivity, focusing on both the direct effects of training capital accumulation and its complementarity with other intangible capital assets. While previous research has highlighted the positive role of workplace training in...

This paper analyses the contribution of the renewable and non-renewable primary energy consumption per capita and the gross fixed capital formation per capita to sustainable economic growth using two models approximated by CES-type functions. Estimates are made by applying the TRANSLOG method....

This paper advances our understanding of the transformative role of innovation in labor share dynamics over recent decades of rapid technological evolution. We introduce a novel methodology to disentangle the direction and substitution effects of technological change, drawing on comprehensive...

The primary goal of this paper is to present a distributive proposal for reinterpreting Solow's residual and apply it within the Chilean context. We argue that Solow's residual can only indirectly capture technological phenomena. This critique draws upon the contribution of Felipe and McCombie...

This paper investigates the impact of technological advancements, particularly the integration of the Internet of Things (IoT), on the efficiency and productivity of the postal service industry in Slovakia. By employing the Cobb-Douglas production function, we analyze the relationship between...

Natural Capital Accounting (NCA) integrates economic and environmental data to understand the connections between economic and environmental resources. The European Union (EU) has shown strong policy support for NCA, amending Regulation 691/2011 to include ecosystem accounts (EA) as a mandatory...

We construct a new dataset containing parcel sizes and building footprints of Canadian manufacturing plants and decompose industrial density (parcel size per worker) into: crowding (floorspace per worker); building height (floorspace to building footprint); and parcel coverage (building...

Workers learn on the job from both repetition and peers. Less understood is how specific types of experience and peer characteristics affect on-the-job learning. This likely differs by context (e.g., occupation, tasks, or roles). Absent such knowledge, it is unclear how to optimally assign...

I estimate a nested CES production function for 9 European countries over 1996- 2020 using EU KLEMS data, distinguishing between information and communication technologies (ICT), intellectual property (IP) capital, and traditional capital. I assume that the aggregate output is produced using...

Standard methods for estimating production functions in the Olley and Pakes (1996) tradition require assumptions on input choices. We introduce a new method that exploits (increasingly available) data on a firm’s expectations of its future output and inputs that allows us to obtain consistent...

Background: Logistics has become a key driver of global economic production. This study investigates the role of logistics in global economic production by presenting a novel theoretical framework that integrates logistics performance into traditional models as a determinant production factor....

In the past decades, intangibles assets have become an important source of productivity and economic growth in developed countries. Despite the transforming properties of intangibles across economies and the large and dynamic literature on the impact of intangible investments on productivity...

A research gap exists regarding how research and development (R&D) expenditures contribute to the generation of innovative spillovers through knowledge-intensive business services (KIBS), particularly within the manufacturing and business services subsectors. These spillovers have a networking...

By regulating how firms collect, store, and use data, privacy laws may change the role of data in production and alter firm demand for information technology inputs. We study how firms respond to privacy laws in the context of the EU's General Data Protection Regulation (GDPR) by using seven...

This paper offers a retrospective view of the key pillar of Solow's neoclassical growth model, namely the aggregate production function. We review how this tool came to life and how it has survived until today, despite three criticisms that undermined its raison d'être. They are the Cambridge...

We study how increased import competition affects the evolution of productivity in a small open economy. We use a production survey of Belgian firms where we observe quarterly firm-product data at the 8-digit level on value and quantities sold together with firm-level labor, capital, and...

Theory predicts that global economic growth will stagnate and even come to an end due to slower and eventually negative growth in population. It has been claimed, however, that Artificial Intelligence (AI) may counter this and even cause an economic growth explosion. In this paper, we critically...

Knowledge and innovation have become a significant source of modern regional development. The paper aims to study the spatial association of innovation and model innovation, besides critiquing regional innovation policy, using the regional knowledge production function approach. At the level of...

Improved land-use efficiency in agricultural production is crucial to meet increasing demand for agricultural commodities using the finite area of arable land worldwide. By applying a spatial autoregressive stochastic frontier methodology to county-level data spanning from 1980 to 2011, we...