The Evolution of Agricultural GHG Emissions in Italy and the Role of the CAP. A Farm-level Assessment.

Similar documents
Farm-level GHG emissions and the CAP. An econometric assessment on an Italian panel.

Environmentally-Adjusted Total Factor Productivity: the Case of Carbon Footprint. An application to Italian FADN farms

The evolution of agricultural GHG emissions in Italy and the role of the CAP A farm-level assessment

Environmental impact assessment of CAP greening measures using CAPRI model

STATE, IMPROVEMENTS AND CHALLANGES OF AGRICULTURAL GREENHOUSE GAS INVENTORY IN HUNGARY

Agriculture, Food and GHGs

6. AGRICULTURE [CRF sector 4]

Contribution of the EU agricultural policy to climate change mitigation

New FAO data products and tools Since 2009

Implications of climate and energy policy on the agricultural and forestry sectors

LIVESTOCK AND CLIMATE CHANGE

The consequences of climate change for EU agriculture

LIVESTOCK AND CLIMATE CHANGE

Irish Agriculture & Climate Change Policy : The story so far

strategies: win-win solutions Vera Eory

Climate change - The European context. Herwig Ranner DG Agriculture and Rural development, Unit H4 European Commission

Main Anthropogenic Sources of Greenhouse Gases Agriculture, Fire, Change in Land Use and Transport

Agrosynergie Groupement Européen d Intérêt Economique

Austria s Agriculture

AB 32 and Agriculture

S P A I N COMMON AGRICULTURAL POLICY

Key messages of chapter 3

Operating subsidies (both direct payments and rural development except investment support) 8 March 2018

IMPLEMENTATION OF THE CAP REFORM ON LEAN BEEF FARMING SYSTEMS

Emission scenarios for methane and nitrous oxides from the agricultural sector in the EU-25

6. AGRICULTURE [CRF sector 4]

Farm Economics brief

CAP CONTEXT INDICATORS

Pasture Management for Carbon and

12693/15 LS/dd 1 DGB 1B

What about other gainful activities? Concetta Cardillo INEA, Italy Bruxelles, 11 June 2015

Towards a regulatory framework for climate smart agriculture in Europe

SITUATION OF GREENHOUSE GAS EMISSIONS IN LIVESTOCK PRODUCTION LA VAN KINH INSTITUTE OF ANIMAL SCIENCES FOR SOUTHERN VIETNAM

AGRICULTURE & FORESTRY

OVERVIEW OF AGRICULTURAL STATISTICS IN LITHUANIA Legislative and institutional settings

3rd Cattle Network EAAP Workshop

Workshop Mediterranean products in a global lmarket Cetraro, June, issues and prospects. Dept. of Economics, University of Torino

Nitrogen Footprint of Food Production in the EU-27 and Africa. Jan Peter Lesschen, Igor Staritsky, Adrian Leip and Oene Oenema

E U R O P E A N U N I O N

Executive Stakeholder Summary

High Nature Value Farming in the Alps from the perspective of Piedmont

Austria s Agriculture

Climate change and agriculture

Cropland and Grassland Management

EXPERIENCE FROM THE ENVIRONMENTAL ANALYSIS FOR RURAL DEVELOPMENT PROGRAMMES - AUSTRIA Brussels, 23 th March 2016

Greenhouse Gases and Ammonia In Irish Agriculture

Policies, programmes and strategies addressed in Ireland s Climate- Smart Agriculture case study

Working document. Complementary Result Indicator fiches for Pillar II

The CAP towards 2020

Successful mainstreaming of climate action into post-2013 Rural Development Policy

GGELS Evaluation of the livestock s sector contribution to the EU GHG emissions. European Commission DG Agriculture and Rural Development

Sustainability of the dairy sheep farming: Examples from Greece and Spain

Effects of 2013 CAP reform on land market: Regionalized Farm Payments and Changes in Farmers Intended Behaviour

Contribution of agricultural soils to GHG emissions and carbon storage. Patricia Laville Guido Berlucchi & C.

Climate policy, Land and smart agriculture 2020, 2030

Innovation in Agriculture:

European Climate Change Programme (ECCP) Working Group on Sinks Related to Agricultural Soils

Global Strategy. Session 1.2: Minimum Set of Core Data Items. Module 1: Sampling in the Context of the Global Minimum Set of Core Data Items

EIONET Meeting National Reference Centres Agriculture and Environment 21 June Directorate General Environment European Commission

Absolute emissions 1 (million tonnes CO 2 -eq) Average emission intensity (kg CO 2 -eq/kg product) Milk 2 Meat 2 Milk Meat Milk 2 Meat 2

Montpellier, 13 Juillet, 2011

Mean Absolute Deviation model (MAD) Economic environmental model based on FADN farms

Marconi V., Raggi M. and Viaggi D. SPARD project - Spatial Econometric Analysis: RDPs evaluation

USDA GLOBAL CHANGE FACT SHEET

TABLE 3 SECTORAL REPORT FOR AGRICULTURE (Sheet 1 of 2)

Minimum Core Data Set

Direct support scheme in Kosovo*

Agriculture and Climate Changethe UK Perspective

3. STRUCTURE OF AGRICULTURAL HOLDINGS BROKEN DOWN BY TYPES OF FARMING

Environmental Implications of Different Production Systems in a Sardinian Dairy Sheep Farm

UNESCAP APCAEM : Regional Forum on Bio-energy Sector Development. Dr. Chang-Gil Kim

National GHG Inventory and Assumption Baselines for GHG Emission Projections

Agricultural practices that reduce greenhouse gases (GHGs) and generate co-benefits

Marginal abatement costs of greenhouse gas emissions from EU-24 agriculture

Potential options for mitigation of climate change from agriculture. Agustin del Prado

Directorate E: Sectoral and regional statistics Unit E-1: Farms, agro-environment and rural development

The EU Nitrogen Expert Panel and its indicator for Nitrogen Use Efficiency (NUE) Oene Oenema Wageningen University

Main sharad activities and results. Marco Meggiolaro LT Terra&Acqua Tech/ University of Ferrara

Total production of agricultural products in Denmark, 1996, and in the organic scenarios (Alrøe et al. 1998a; Danish EPA 1999a)

Accounting for GHG emissions from biofuels production and use in EU legislation

Rural Development Program of Region Veneto. AGRI E.I.4, Bruxelles, September 2007

(A) Introduction. Regionalisation of Nitrogen Balances with CAPRI Pilot Project (RegNiBal) Kick-off meeting 20/02/2013. Adrian Leip Franz Weiss

WORKING DOCUMENT DEFINING PROXY INDICATORS FOR RURAL DEVELOPMENT PROGRAMMES

Organic Farming as a GHG Emission Mitigation Possibility in Latvia

Overview of the EPRI-MSU Nitrous Oxide (N 2 O) Greenhouse Gas Emissions Offsets Methodology

Biofertilizers for Climate-friendly agriculture the Greater Mekong Subregion (GMS)

Projecting Net Greenhouse Gas Emissions from Irish. Agriculture and Forestry

MiPAAF Bioqualia project: Organic farming, sustainability and biodiversity

Sara J. Scherr, EcoAgriculture Partners Navigating the Global Food System in a New Era IAMA, Boston, June 21, 2010

Climate Change and Agriculture in NZ OECD Committee on Agriculture 19 November 2009

Natural fertiliser control and application system in Poland state of the art. The natural manure composition in Poland estimating and verification

SOUTH AFRICA S PERSPECTIVE

Farmland and climate change: factors and lessons from farmed landscapes. ELO Biodiversity Conference Brussels 9 December 2015

Increase in the size of agricultural holdings and improvement in labour force productivity and efficiency

3 Outcome of the sustainability assessment

Completing the links between UNFCCC reporting categories and SEEA AFF Air Emission Accounts. An application to the Italian case. 1

Outline of the presentation

SEEA Air Emissions Accounts: from Central Framework to Agriculture, Forestry and Fisheries. This material was prepared by FAO

Asia and Pacific Commission on Agricultural Statistics

DOCUMENTATION AND CATEGORY BY CATEGORY DESCRIPTION. Training Workshop on the National System for the GHG Inventory

Transcription:

The Evolution of Agricultural GHG Emissions in Italy and the Role of the CAP. A Farm-level Assessment. Silvia Coderoni 1 and Roberto Esposti 2 1 INEA (National Institute for Agricultural Economics), Rome, Italy 2 Department of Economics and Social Sciences, Università Politecnica delle Marche, Ancona, Italy 3 rd AIEAA Conference - Feeding the Planet and Greening Agriculture: Challenges and opportunities for the bio-economy. Alghero, 25-27 June, 2014

Outline of the presentation Policy framework Research question GHG emission reconstruction at farm level The FADN sample Some (preliminary) results

Policy contest The European 2050 Strategy to combat climate change and the role of agricultural GHG emission (-42/49% of agri GHG emissions) Effort Sharing Decision n. 426/2009/UE LULUCF-Land Use Land Use Change and Forestry accounting framework. Dec. n.529/2013/ue (i.e. accounting for cropland and grasslands management) Common Agricultural Policy: climate change challenge both in pillar I and II Pillar I and the role of the greening Pillar II e.g. climate as objective of RDPs, agri-climateenvironment, etc.

Research question Agricultural GHG emission in Italy (and in Europe) have declined from 1990 to 2012 (EEA, 2014) Do we observe a decline at the farm level? Where and Why? Define a methodology for the reconstruction of agricultural GHG emissions (i.e. Carbon Footprint-CF) at farm level and of its evolution over time. Interpretations of the differences observed across farm typologies and territories and, above all, of the farm-level CF evolution over time with specific reference to the possible role of the CAP: the 2003 Reform of its First Pillar those Second Pillar s measures targeted to activities and practices that have a direct impact on the CF

GHG emissions at farm level What: emissions on which the farmer has a direct control/makes choices (no Supply Chain/Life Cycle Assessment) How: using Intergovernmental Panel on Climate Change (1997, 2000, 2006) methodolody adapted at farm level (Coderoni et al., 2013), FADN activity data & ISPRA/IPCC default emission factors one synthetic farm-level emission measure: the farm CF IPCC CATEGORY SOURCE GHG 4A Enteric Fermentation CH 4 4B Manure Management N 2 O, CH 4 4C Rice CH 4 4D Agricultural Soils N 2 O, CH 4 1A Energy CO 2 5A Forest land CO 2 5B Cropland CO 2 5C Grassland CO 2

5 Carbon Footprints categories GHG emission sources and the respective FADN activity data Emission sources CF category FADN data N 2 O manure management CF livestock Animal numbers CH 4 manure management CF livestock Animal numbers CH 4 enteric fermentation CF livestock Animal numbers CH 4 rice crops CF crops Rice area (UAA) N 2 O agricultural soils Various Direct emissions Use of synthetic fertilisers CF fertilizer Fertilisers expenditure Biological N fixation CF crops N-fixing crop area Crop residues CF crops Crop area (UAA) Indirect emissions 1 Atmospheric deposition CF fertilizer/ CF crops Fertil. expe. & animal numbers Leaching and run-off CF fertilizer/ CF crops Fertil. expe. & animal numbers CO 2 Energy CF Fuel Fuel expenditure CO 2 Forest land CF Land use UAA CO 2 Cropland CF Land use UAA CO 2 Grasslands CF Land use UAA

The FADN sample We need a constant sample of farms yearly observed over the pre and post-2005 period: balanced panel extracted from the FADN-Farm Accountancy Data Network (RICA) database: 5,036 farms observed over years 2003-2007 with all the needed information to compute the respective CF Note: FADN excludes a significant (in terms of numerosity) amount of Italian small farms: does this matter for the assessment of CF evolution over time?

2003-2007 evolution of the 5 farm-level CF categories CF category 2003 2004 2005 2006 2007 Var. 07-03 (%) CF Fuel 26.6 27.9 30.6 32.4 33.8 27.1 CF Crops 9.4 9.6 9.5 10.1 9.9 5.4 CF Fertilizers 17.9 17.7 18.2 17.9 19.6 9.8 CF Livestock 98.9 98.8 99.0 99.3 98.0-0.9 CF Land Use A 2.8E-03 2.7E-03 2.6E-03 2.6E-03 2.6E-03 5.0 CF Land Use B -4.8E-03-5.0E-03-5.1E-03-5.0E-03-5.0E-03-4.3 CF Total A 152.8 153.9 152.3 159.7 161.4 5.6 (499.5) (504.1) (507.7) (566.9) (563.1) (1.3) CF Total B 152.8 153.9 152.3 159.7 161.4 5.6 (499.5) (504.1) (507.7) (566.9) (563.1) (1.3) ton CO 2e per farm avg.; st. dev. in parenthesis. A: ISPRA IEF; B: JRC based IEF. Source: own elaborations Mostly smooth variations Large heterogeneity but some robust evidence emerges Only CF livestock declines Land Use does not matter much

2003-2007 evolution of the 5 farm-level CF categories 120 100 80 60 40 20 0-20 2003 2004 2005 2006 2007 CF Fuel CF Cultivation CF Fertilizers CF Livestock CF Land Use A CF Land Use B ton CO 2e per farm avg.; st. dev. in parenthesis. Source: own elaborations

2003-2007 evolution of the farm-level total CF across farm typologies Farm typology: 2003 2004 2005 2006 2007 Var. 2007-2003 (%) Economic Size: ES 3-4 19.3 12.1 12.7 13.0 13.0-31.5 ES 5-6 40.2 40.1 41.7 40.7 41.1 2.7 ES>=7 398.4 396.4 401.1 415.8 417.6 4.8 UAA: UAA < 10 ha 33.9 36.1 38.2 36.0 35.8 5.6 UAA 10-50 ha 121.9 120.6 118.5 118.2 123.5 1.3 UAA >50 ha 655.5 656.0 632.7 688.7 687.2 4.8 Correlation coefficient UAA-CF 0.5 0.5 0.4 0.5 0.5 0.01 ton CO 2e per farm avg. Source: own elaborations

2003-2007 evolution of the farm-level total CF across farm typologies Farm typology: 2003 2004 2005 2006 2007 Var. 2007-2003 (%) COP 110.1 110.7 80.3 138.4 141.1 43.3 Other fieldcrops 82.0 83.5 84.8 75.9 88.3 36.0 Horticulture 48.5 54.4 50.0 51.7 52.4 27.2 Wine 36.2 35.2 39.3 43.7 46.7 35.1 Orchards fruits 22.5 25.9 33.4 32.5 38.5 78.7 Olives 18.7 19.5 20.0 19.0 21.6 33.6 Permanent crops combined 48.9 50.0 49.2 53.1 55.7 37.7 Milk 466.0 464.3 474.6 550.7 563.5 38.1 Sheep and goats 107.5 164.1 143.8 130.3 137.3 35.4 Cattle 458.3 468.1 493.0 391.0 420.3 0.6 Granivores 773.3 757.2 746.3 961.3 941.9 2.8 Mixed crops 64.7 60.5 69.7 65.8 61.7 47.3 Mixed livestock 604.0 521.2 678.7 412.5 371.0-8.4 Mixed crops and livestock 268.4 278.8 262.2 189.7 204.6 9.2 ton CO 2e per farm avg. Source: own elaborations

Farm-level total CF/UAA across space Farm-level total CF/UAA (Kg CO 2e ) across Italian provinces and over time: 2003 (a), 2007 (b), var. 2007-2003 (%) (c) (a) (b) (c) - + Kg CO 2e per farm avg.; st. dev. in parenthesis. Source: own elaborations

The role of the CAP: farm-level total CF and 1 st pillar payments Farm-level total CF (ton CO 2e ) and first pillar payments, FPP (avg. 2003-2007) (per farm avg.) Farm groups: 2003 CF 2007 CF Var. CF 2007-2003 (%) FPP/GPV <10% 201.5 212.7 36.5 FPP/GPV 10-30% 46.3 48.2 2.98 FPP/GPV 30% 31.7 35.0 3.71 Correlation coefficient FPP CF -0.10-0.09-0.01 Source: own elaborations Negative but negligible correlation between FPP and CF More supported/dependent farms better emission perfomance (levels and variations) Apparently, 1 st pillar reform did not change CF patterns

The role of the CAP: farm-level total CF and 2 nd pillar payments Farm-level total CF (ton CO 2e ) and second pillar 2003-2007 payments (i.e. 2000-2006 Programming Period (per farm avg.) Farm groups: 2003 CF 2007 CF Var. CF 2007-2003 (%) With second pillar payments 242.0 141.1-42.0 No second pillar payments 145.0 162.0 12.0 Correlation coefficient second pillar payments-cf (a) 0.4 0.5-0.1 (a) only farms with second pillar payments Source: own elaborations Positive correlation between 2 nd pillar payments and CF (levels) Positive correlation between 2 nd pillar payments and CF (variations) Apparently, 2 nd pillar promoted a change in CF patterns

Some concluding remarks Novelty of the paper: farm-level comprehensive GHG emission/cf calculation A methodology based on international standards An application to an Italian FADN balanced panel This allows assessing: Whether/How emission performance evolves over time at the farm-level What drives this evolution; the role of the CAP Still several data and methodological issues to be fixed (e.g. land use changes) but some robust evidence emerges: Assessment of the role of the CAP in its initial stage Apparently the 2 nd pillar measures had a role more than 1 st pillar reform (whose purpose did not concern the CF)

Thank you Silvia Coderoni coderoni@inea.it