In this paper we analyze the economic effects of implementing EPA's newly proposed regulations for carbon dioxide (CO2) on existing U.S. coal-fired power plants using nonparametric methods on a sample of 144 electricity generating units. Moreover, we develop an approach for evaluating the...

The impact of environmental regulation on firm productivity has been long been debated, however, mainly for western economies and with limited firm-level evidence. We study the impact of a large-scale national energy saving program (the Top 1000 Energy-Consuming Enterprises Program, or T1000P,...

This paper studies nonparametric identification and counterfactual bounds for heterogeneous firms that can be ranked in terms of productivity. Our approach works when quantities and prices are latent, rendering standard approaches inapplicable. Instead, we require observation of profits or other...

In this paper, we consider the stochastic ray production function that has been revived recently by Henningsen et al. (2017). We use a profit-maximizing framework to resolve endogeneity problems that are likely to arise, as in all distance functions, and we derive the system of equations after...

This paper studies nonparametric identification and counterfactual bounds for heterogeneous firms that can be ranked in terms of productivity. Our approach works when quantities and prices are latent rendering standard approaches inapplicable. Instead, we require observation of profits or other...

Is green consumerism beneficial to the environment and the economy? To shed light on this question, we study the political economy of environmental regulations in a model with neutral and green consumers where the latter derive some warm glow from buying a good of higher environmental quality...

Is green consumerism beneficial to the environment and the economy? To shed light on this question, we study the political economy of environmental regulations in a model with neutral and green consumers where the latter derive some warm glow from buying a good of higher environmental quality...

In this paper we have estimated a behavioural equation for R&D investment. We assess the impact of liquidity constraints and capabilities, measured respectively as internal cash flow and distance from the technological frontier. Our estimation is performed on an industry level panel covering...

Data envelopment analysis (DEA) and stochastic frontier analysis (SFA), as well as combinations thereof, are widely applied in incentive regulation practice, where the assessment of efficiency plays a major role in regulation design and benchmarking. Using a Monte Carlo simulation experiment,...

We analyse optimal environmental policies in a market that is vertically differentiated in terms of the energy efficiency of products. Considering energy taxes, subsidies to firms for investment in more eco-friendly products, and product standards, we are particularly interested in how...