Optimal bandwidth selection for conditional efficiency measures: A data-driven approach

TL;DR: In this paper, a link between frontier estimation and extreme value theory has been established, and several approaches exist for introducing environmental variables into production models; both two-stage approaches, in which estimated efficiencies are regressed on environmental variables, and conditional efficiency measures, as well as the underlying assumptions required for either approach, are examined.

TL;DR: In this article, the impact of environmental factors on the production process in a new two-stage type approach but using conditional measures to avoid the flaws of the traditional two stage analysis.

TL;DR: In this paper, the impact of firms' engagement in ESG policies on their innovation capacity levels was investigated by applying a nonparametric frontier analysis framework to a sample of 320 Japanese firms over the period 2008-2016.

TL;DR: This ‘guided tour’ reviews the development of various non-parametric approaches since the early work of Farrell, and remaining challenges and open issues in this challenging arena are described.

TL;DR: In this paper, a coherent data-generating process (DGP) is described for nonparametric estimates of productive efficiency on environmental variables in two-stage procedures to account for exogenous factors that might affect firms’ performance.

TL;DR: In this article, the density estimation for statistics and data analysis is presented, which is based on the Density Estimation for Statistics and Data Analysis (DESA) method. But

TL;DR: This work evaluates the relative technical and scale efficiencies of decision making units DMUs when some of the inputs or outputs are exogenously fixed and beyond the discretionary control of DMU managers through mathematical programming formulations.

TL;DR: In this paper, a nonparametric estimator based on the concept of expected minimum input function (or expected maximal output function) is proposed, which is related to the FDH estimator but will not envelop all the data.