Research

Research can be seen as a journey, mine is at its early beginning as I am still a PhD candidate. The goal I pursue is to better understand capital formation and especially in the energy market, regarding the challenge of energy transition. It is fascinating topic from the point of view of technology, with this question: what will be the main energy in the future ? There are so much things happening, from the Dutch Wind Wheel in Rotterdam to the experimentation of geoengineering technologies, that we have to be aware and to bring new persectives everyday.

Knowledge-based strucutural change (with Christian Ghiglino, Kazuo Nishimura and Alain Venditti), submitted. (Previously named: Non-balanced endogenous growth and structural change: when Lucas meets Kaldor and Kuznets)

Abstract: How will structural change unfold beyond the rise of services? Motivated by the observed dynamics within the service sector we propose a model of structural change in which productivity is endogenous and output is produced with two intermediate substitutable capital goods. In the progressive sector the accumulation of knowledge leads to an unbounded increase in TFP, as sector becoming asymptotically dominant. We are then able to recover the increasing shares of workers, the increasing real and nominal shares of the output observed in progressive service and IT sectors in the US. Interestingly, the economy follows a growth path converging to a particular level of wealth that depends on the initial price of capital and knowledge. As a consequence, countries with the same fundamentals but lower initial wealth will be characterized by lower asymptotic wealth.

Keywords: Two-sector model, non-balanced endogenous growth, structural change, labor augmenting technical change

JEL Numbers: C62, O41.

Link to the paper (NEW version !)

The energy transition and fossil energy use (JMP)

Abstract: Achieving the energy transition is among global priorities of the 21st century, one key element to success being the development of affordable renewable technology to compete with fossil energy. While technological progress seems already biased in favor of the renewable sector since the 70's, we had to wait until 2005 to observe a sharp increase of its share in the energy mix. In this paper I develop a theoretical model of energy transition able to explain this delay through a lasting capital effect in favor of fossil energy. The existence of a trade-off between efficient pollutant capital and less efficient carbon-free alternative, in a context of embodied technical change and long living power plants, slows down the capacity to close polluting units. This mechanism postpones the effect of biased technical change.

Keywords: Energy transition, investment specific, exogenous growth, climate economics

JEL Numbers: C61, O41, Q43

Link to the paper

How does biased technological change affects energy production in the US ? Evidence from patent data (work in progress)

Abstract: Empirical literature about the energy transition has focused on the impact of energy prices or energy policy on the rate of technological change, see Popp (2009, 2019). However, very few papers have attempt to estimate the impact of technological progress on energy investment decisions. I am trying to fill this gap using an AutoRegressive Distributed Lags (ARDL) model on yearly US data. I estimate the elasticity of the renewable energy share, produced in the US, with respect to biased technological progress, oil prices, GDP and domestic investments. The ARDL specification is useful to estimate both short and long-run elasticities of the model, additionally to the convergence speed toward long-term equilibrium. Results show a short run elasticity of 0.31-0.34 for technology differential and of 0.004-0.006 for oil prices, while it rejects the presence of any long-run elasticity for these two variables. These results hold under various robustness checks. The main novelty of the paper lies in the computation of biased technological progress, I am using USPTO patent data to create a performance index of carbon free technology, compare to fossil one, which captures the efficiency differential between the two type of technology.

Keywords: Energy transition, ARDL, macroeconometrics

Link to the paper

Work in progress

    • Energy trade and soil composition, a carbon curse ?