Using FADN Data to Estimate CO2 Abatement Costs from Italian Arable Crops

نویسندگان

چکیده

The assessment of economic and environmental sustainability agricultural systems represents a critical issue, which has been addressed in this work with multi-objective programming model to explore the abatement costs (AC) CO2 for set representative contexts Italian arable land agriculture. study was based on FADN-compliant database RICA estimates emissions short time horizon, using linear compromise programming. data were used quantify technical parameters model, adopting an innovative concept cropping scheme simulate land-use adaptation. shows quite diversified situation regarding income emission levels per hectare across region farm classes. A reduction higher than 5 kg/ha at AC lower 1 EUR/kg is affordable only seven regions, among Abruzzo, Lombardy, Puglia show highest potential. Comparing estimated corresponding European Trade System prices highlights difference order magnitude, proving that reductions crops still require research innovation adaptation costs.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Assessing the environmental performance of English arable and livestock holdings using data from the Farm Accountancy Data Network (FADN).

Agri-environment schemes (AESs) have been implemented across EU member states in an attempt to reconcile agricultural production methods with protection of the environment and maintenance of the countryside. To determine the extent to which such policy objectives are being fulfilled, participating countries are obliged to monitor and evaluate the environmental, agricultural and socio-economic i...

متن کامل

Stochastic Arable-Nitrogen Abatement from Heterogeneous Sources Cost-E ective Coastal Nitrogen Abatement

The implications of the propagation of uncertainty for the e ciency of stochastic water pollution control were analyzed. The empirical analysis focused on nitrogen pollution of the Baltic Sea from Swedish crop farms. A two moment model (mean and variance) of the distribution of coastal load was developed and integrated with an economic model of arable land-use choice. It was shown that uncertai...

متن کامل

Using Neural Networks with Limited Data to Estimate Manufacturing Cost

Neural networks were used to estimate the cost of jet engine components, specifically shafts and cases. The neural network process was compared with results produced by the current conventional cost estimation software and linear regression methods. Due to the complex nature of the parts and the limited amount of information available, data expansion techniques such as doubling-data and data-cr...

متن کامل

Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors

Shanghai, one of the most developed cities in China, is implementing a pilot regional carbon emission trading scheme. Estimating the marginal abatement costs of CO2 emissions for the industrial sectors covered in Shanghai's emission trading scheme provides the government and participating firms useful information for devising compliance policies. This paper employs multiple distance function ap...

متن کامل

Using price distributions to estimate search costs

We show how the equilibrium restrictions implied by standard search models can be used to estimate search-cost distributions using price data alone. We consider both sequential and nonsequential search strategies, and develop estimation methodologies that exploit equilibrium restrictions to recover estimates of search-cost heterogeneity that are theoretically consistent with the search models. ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Sustainability

سال: 2021

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su13095148