Projects

FNRS  - Research Credit (2023-2024)

Technology heterogeneity in agriculture

Much effort has so far been made to understand the role of the weather in productivity changes and differences across countries in the agriculture sector. Nevertheless, there exists a considerable disagreement about the sign and magnitude of potential impacts; mostly due to the difficulty to come with a coherent parametric modelling. The main goal of this project is to define a tailored nonparametric economic model designed to study the role of the weather in productivity changes and differences across countries in the agricultural sector. To do so, we take weather differences into account by defining time-dependent output-specific agro‐climatic environments. A distinguished feature of the new model is its ability to deal with technology heterogeneity at three levels (time, countries, and outputs) while avoiding selecting a functional form for the production process. 

SURF Project - Xi’an Jiaotong - Liverpool University (2018)

Energy and economic growth in China

Energy use has become a topical issue when assessing the economic growth of countries. Indeed, energy use gives rise to greenhouse gas emissions, which are undesirable side-products of economic growth. The aim of this project is to construct a new model specially tailored for addressing this issue. The new model could be seen as a unifying approach consistent with previous works and in line with recent policy and regulation implementations. The model will be applied to the case of China. Growth and convergence issues are important topics in China. Including greenhouse gas emission objectives/constraints in those topics is clearly of interest since this country has recently decided to reduce those emissions.

NFSC - International Young Scientists’ Program (2017-2018)

Nonparametric efficiency analysis for multi-output producers

The aim of my project is to develop benchmarking tools for analyzing the efficiency of Decision Making Units that produce multiple outputs. The distinguished features of the proposed methodology are twofold. On the one hand, the benchmarking tools do not require strong assumptions for any aspects of the production process (i.e. nonparametric spirit) and try to stay as close as possible to the reality (i.e. high discriminatory power). On the other hand, the benchmarking tools are motivated by empirical questions and are therefore specially designed to tackle specific research questions. The panel of covered research questions is important: from microeconomics to macroeconomics, from private to public producers, from the manager point of view to the regulator/policy maker points of view.

SURF Project - Xi’an Jiaotong - Liverpool University (2017)

Using benchmarking tools to investigate the performances of multi-output firms in Suzhou Industrial Park

Benchmarking, a technique used to enable continuous quality improvement, has become popular both as an analytical research instrument and as a practical decision-support tool. Private and public firms use benchmarking techniques to reduce their production cost and increase their profit. Recently, specific benchmarking techniques have been suggested to analyze multi-output firms, i.e. firms that produce several outputs. These firms are of particular interests since their production process is more complicated and they therefore require tailored benchmarking techniques.