Search results for "Stochastic frontier approach"
showing 5 items of 5 documents
Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level
2020
In the next future, climate change effects will represent a challenge for Europe and the Mediterranean area. These will have to cope with a rapid increase in climate variability. Although many economic sectors may be affected, agriculture is the most susceptible as climate heavily affects crop production trends, yield variability and the availability of areas suitable for cultivation. Using the stochastic frontier approach, the aim of this work is to analyse the impacts of climate variability on Italian regional technical efficiency in the agricultural sector for a period spanning from 2000 to 2009. Considering that technical inefficiency could be influenced by two main annual meteorologica…
Innovation for climate change adaptation and technical efficiency: an empirical analysis in the European agricultural sector
2020
This paper analyses the effect of innovation on firms' technical efficiency. Using climate-related patent data to proxy for innovation activity in different technological fields, the paper employs a stochastic frontier approach to estimate the impact of innovative efforts on agricultural firms' technical efficiency taking account of both unobservable heterogeneity and double heteroscedasticity in the inefficiency and idiosyncratic terms. Our findings confirm that innovation has a positive impact on firms' productivity (technical efficiency). While agricultural firms located in Germany and Sweden are more efficient compared to those in southern countries, all the European countries considere…
Agricultural and Biotechnology Patents as an Adaptation Strategy to Climate Change: A Regional Analysis of European Farmer’s Efficiency
2022
This chapter analyses the effect of innovation encouraged by climate change challenges on European farmers’ technical efficiency. Using the stochastic frontier approach, we estimate the impact of agri-cultural patents on farmers’ technical efficiency by taking into account both unobservable heterogeneity and heteroscedasticity in the inefficiency term. Our findings suggest that European farmers remain quite far from the maximum frontier and irrespective of the country in which they reside; farmers who innovate are more efficient than those who do not. Thus, the inefficiency of agricultural agents in the European context leaves space for policies that incentivise firms to adopt climate chang…
Climate variability, innovation and firm performance: evidence from the European agricultural sector
2021
Abstract It is generally accepted that adaptation to climate variability requires a technological advancement strategy. However, the innovation process has received little explicit consideration in this framework. We employ a panel endogenous switching regression model to explore whether and to what extent climate variability affects firm performance through the ability to induce the development of adaptation innovations in key resource-based sectors in Europe during the period 2007–2017. Our findings confirm that the knowledge generation process at the heart of climate change adaptation technologies enhances firm performance, especially for firms in the aquaculture and fishing sub-sectors …
Local vs. National Environmental Spending: A Stochastic Frontier Analysis
2012
This work studies the impact of public environmental spending in a fiscal federalist framework. The main question is studying when the centralization of this public economic function is welfare improving. Applying the Stochastic Frontier Approach (SFA) on Italian, Portuguese and Slovakian data, the paper tries to test this issue. Our results highlight the superiority of centralized environmental spending with respect to the decentralization of this particular public good.