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Economic analysis of GHG emission reduction options for rice - - PowerPoint PPT Presentation

University of Tsukuba Graduate School of Life and Environment Sciences Economic analysis of GHG emission reduction options for rice cultivation: A case study in Nam Dinh province, Vietnam. Nguyen Thu Thuy-201326029 Supervisor: Professor Masuda


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Economic analysis of GHG emission reduction

  • ptions for rice cultivation: A case study in Nam

Dinh province, Vietnam. Nguyen Thu Thuy-201326029 Supervisor: Professor Masuda Misa

1

University of Tsukuba Graduate School of Life and Environment Sciences

15 DECEMBER, 2014

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CONTENTS

1.

Background

2.

Research Objective and study area

3.

Methodology

4.

Preliminary result

5.

Primary conclusion and discussion

6.

Future study

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GHGs budget of rice field

  • 1. Background

Source: Wassman, IRRI, 2010

Source: FAOSTAT,2012

20000 40000 60000 80000 100000 120000 Gigagrams

Emission (CO2eq) (Rice Cultivation)

200 400 600 800 1000 1200 1400 1600 1800 2000 Gigagrams

Emission (CO2eq) ( Burning rice residue) Top 10 emitters

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 Emissions from agriculture comprise 43.1 % of Vietnam’s

total carbon emissions, of which rice cultivation comprises of 50% of the share. (MONRE, VSNC, 2010)

 Government of Vietnam (GVN)’s Green Growth Strategy

aims to reduce carbon emissions while achieving growth

  • bjectives

 Ministry of Agriculture’s 20-20-20 strategy aims to

reduce carbon emissions from agriculture sector by 20 percent, while reducing poverty by 20 percent and increasing agricultural gross domestic product (GDP) by 20 percent.

  • 1. Background

GHG emission projection GHG emission in 2000

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Q2: How to reduce emission from rice cultivation? Q1: How to solve agricultural residue burnt? 7 million ha 80 million tons of agricultural residue

Source: IAE

Reuse agricultural residue; using alternative fertilizers and alternative irrigation method A huge amount

  • f carbon emission
  • 1. Background

Source: Wassman,IRRI

Achieving low emission grow for rice cultivation in Vietnam

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  • 2. OBJECTIVE

 Assessing environmental consequences of traditional

rice farming practices in term of GHG emission.

 Evaluating the cost-effectiveness and adoption of

selected GHG reduction options for rice cultivation.

Find out the most climate-smart agriculture system

+ Improve rice production + Reduce GHG emission

6

  • The use of alternative organic fertilizer

( biochar and compost)

  • The application of Alternative Wetting

and Drying (AWD)

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Improve soil fertility (Chidumayo,1994) GHGs emission Reduction 12- 84% ( Johnanes Lehmann, 2007) Carbon sequestration ( Johnanes Lehmann, 2006)

7

Mitigation option 1: Using Biochar

Picture are taken by IAE, Vietnam)

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Mitigation option 2: Using Compost

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Avoid high emission from burning residue Soil fertility improvement Creates biologically healthy soils

Source: IAE

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Option 3: Alternative Wet and Dry (AWD) irrigation method

9

Shifting from flood irrigation to AWD irrigation soil turns from anaerobic condition to aerobic condition

Saving water Reducing GHGs emission

Picture are taken by IAE, Vietnam)

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Study site

Nam Dinh province Thinh Long: 40 households Rang Dong: 40 households Pilot study

  • Population:

0.5 million

  • Avarage temperature:

24o C

  • Natural land: 1,652

km2

  • 28 coastal communces

with 12,000ha rice cultivation; 5000ha affected heavily by sanlinity

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  • 3. METHODOLOGY
  • 1. Data collection

Field data collection by conducting survey + Household survey: randomly 80 households (Acreage under di ฀ erent management systems Adoption details of abatement

  • ptions rice variety, fertilizer management at various stage,

water application, etc. Cost of production and Revenue

Second data collection

  • 2. Apply GIS and Remote Sensing build soil, land use and rice

distribution map

  • 3. Apply De Nitrification- De Composition (DNDC) model 

calculate GHGs emission.

  • 4. Apply Cost- Benefit (CBA) and Marginal Abatement Cost

Curve to evaluate economic value

11 Irrigation Manure Fertilizers Manage CROPS DNDC 2014,2020 ,2030

(MONRE)

Climate daily record CH4, N2

O

Soil properties Rice field map Calibrate model by GHG sampling data from IAE

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  • 4. Preliminary result
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Ord, Activities Date Biochar application Composting application AWD application Convention application 1 Cultivation:

  • Tillage:

13 Jan Plow depth of 30- 60mm Plow depth of 30-60mm Plow depth of 30-60mm Plow depth of 30- 60mm

  • Sowing:

21 Jan

  • Transplanting:

17 Feb

  • Harvest planning:

15 June 2 Fertilizers:

  • Base dressing: N, P,

K fertilizers, biochar, composting 16-Feb 6.6 ton biochar / ha; 90kg P2O5; 30kg Urea; 11.3 ton compost /ha; 90kg P2O5; 30kg Urea; 10 ton manure/ha ; 90kg P2O5; 30kg Urea; 10 ton manure/ha 90kg P2O5; 30kg Urea; 1st dressing fertilizer 1-March 50 kg Urea; 30 kg K2O; 50 kg Urea; 30 kg K2O; 50 kg Urea; 30 kg K2O; 50 kg Urea; 30 kg K2O; 2

nd dressing

fertilizer in flowering period 19-March 20 kg Urea, 30 kg K2O 20 kg Urea, 30 kg K2O 20 kg Urea, 30 kg K2O 20 kg Urea, 30 kg K2O 3 Flooding Continuously , water depth of 5-10cm Continuously , water depth of 5- 10cm AWD irrigation Continuously , water depth of 5- 10cm 13

Farming Management information

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Items Thinh Long Rang Dong Average Mean age (years) 38.93 40.3 39.6 Schooling (years) 7.93 9.03 8.48 Experience in rice farming (years) 25.33 17.78 21.55 Household size 4.75 4.94 4.88 Number of labor per household 2.30 2.48 2.39 Per capita cultivated land (ha) 0.27 0.31 0.29 Farm size /household(ha) 1.23 1.20 1.21

Social characteristics

n1=80 Education level quite high High experience year involve farming activities

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Occupation and income proportion

15

Main occupation: agriculture Lower income

19.2 27.3 5.43 48.07 20 40 60 80 100 120 Agriculture Livestock Service Other Occupation proportion Income propotion

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16

3.3 10.0 36.7 18.3 13.3 13.3 23.3 35.0 36.7 63.3 46.7 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0

Multipurpose rice residue use

Rate of rice residue use (%)

Percentage

Proportion of crop residue use in surveyed sites

Total count: 240

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Perception of farmers about the options

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2% 7% 20% 43% 28%

Farmer perception on biochar quality

Unknown Lower than exist fertilizer Equal to exist fertilizer Higher than exist fertilizer 3% 10% 25% 40% 22%

Farmer perception on compost quality

Unknown Lower than exist fertilizer Equal to exist fertilizer Higher than exist fertilizer Unclear

  • More people believed the

quality of alternative fertilizers.

  • Find difficulty in applying

AWD low adoption

N=80

4% 40% 30% 15% 11%

Famer perception about applying AWD irrigation

Unknown Too complicated Complicated Not complicated Simple

A significant adoption

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Initially GHGs emission from different farming techniques

Option CO2

eq

emission (ton/ha) % Reduction Traditional farming (TRA) 27.6 Biochar application (BC) 11.2 59.42 Compost application (COM) 19.8 28.26 Applying AWD irrigation (AWD) 12.8 53.28

18

GHGs emission BC<AWD<COM<TRA

5 10 15 20 25 30 Traditional farming Biochar application Compost application Applying AWD irrigation ton CO2e/ha

GHG emission from different farming techniques

GHGemission/year

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Estimate benefit carbon exchange

19 From RICE CULTIVATION with the option From avoid rice residue burning

T

  • tal

CO2e saving

Assume 63.3% rice residue will be burnt if not use for biochar and compost making.

30.07 20.14 14.60 0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 Biochar application Compost application Applying AWD irrigation

T

  • tal CO2e saving (ton/ha/year)

High abatement potential in saving CO2 eq

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CBA and MACC result

Information collection

Abatement rate (AR), tCO2y-1ha-1 Scale measure (hectare, ,..) Abatement potentials (AP), total Gg CO2e Recalculate cost effectives (CE) and abatement potential (AP)

Identified quantity cost, benefit, discount rate(%) Calculate benefits, costs and NPV, FPV) Calculate cost effectiveness (CE)

Calculate (CE) and (AP) for different potential GHG mitigation

Compare and select preferred option having high CE and AP

      + − + − =

∑ ∑

= = n t n t t t t t

r C r B I CE

1 1

) 1 ( ) 1 (

Variable and capital cost,

  • utputs

Environmental and social factors

Negative CE was considered as win-win decision Positive CE was considered expensive options

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NPV result from CBA analysis

2100.00 2200.00 2300.00 2400.00 2500.00 2600.00 2700.00 2800.00 Biochar Compost AWD US($)

Net Benefit from mitigation options

NPV (USD)

Biochar has the biggest net benefit

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MACC analysis

  • 150.00
  • 100.00
  • 50.00

0.00 50.00 100.00 150.00 200.00 Biochar application Compost application AWD application

Single cost effectiveness (CE) and potential GHG reduction in comparison

CE/tCO2eq saving (USD) Abatement potential (tCO2 eq saving/ha)

AWD with high intensive irrigation application and high investment for drainage system AWD is expensive option

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MACC analysis

  • 150.00
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  • 50.00

0.00 50.00 100.00 150.00 200.00 USD($)

Margin Abatement Cost Curve for three options

Sell in any shadow price

30.07 Biochar 20.14 COM AWD 14.6

Saving tCO2eq CE range from -110.12 to -86.35 per tonCO2eq saving  win-win range of policy- making The best mitigation option in term of cost effectiveness is composting, however biochar option illustrated both high NPV and high cost effectiveness The government win GHG reduction, fammers obtain income With positive CE no motivation in GHG reduction

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  • 5. Primary discussion and conclusion

Discussion Some limitations in CBA analysis + do not include investment of irrigation system and agricultural infrastructure in costs assessment + non-consumed agricultural production such as crop residues, by-products can be sold and earned benefit in abroad countries but it is very limited in Vietnam + economic return of these options (from environmental value) was not estimated to calculate CE

 Big potential GHG mitigation but weak carbon exchange

Conclusion Biochar has the lowest carbon emission per hectare , high cost effectiveness and high net benefit for famers, a significant adoption an abatement option for rice cultivation. AWD implies a higher net cost for farmers because of higher direct costs that do not make up any potential yield increases farmers face constraints in adopting it –fewer farmers know about it, and those who know do not practice it accurately

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  • 6. Future work

 Estimate marginal abatement cost curves

and CBAfor potential mitigation options for rice in 2020, 2030

 Calibrate model and interpretation of data

and result

 Give conclusion and policy

recommendation

 Continue writing thesis

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REFERENCE

Dao The Anh. 2010. Intstitutional options for agricultural mitigation in Vietnam. Hanoi, Vietnam : Center for Agrarian Systems Research & Development (CASRD), VAAS , 2010.

Fabian Kesicki and Neil Strachan. 2011. Marginal abatement cost (MAC) curves: confronting theory and

  • practice. s.l. : Environmental Science & Policy, 2011. 1195-1204.

Giltrap D.L et al. 2009. DNDC: A process based model of green house gas fluxes from agriculturak soils.: Agriculture, Ecosystem and Environment, 2009, Agriculture, Ecosystems and Environment, Vols. 136 (2010) 292-300, pp. 292-300.

  • GoVN. 2013. Decision No 899/QĐ-TTg issued on 10 June 2013 by Prime Minister on aproved restructured

project of agriculture and rural development targetd to enhance value added and sustainable development (in Vietnamese). Hanoi, Vietnam. 2013. www.mard.gov.vn

  • IPCC. 1996. Guidelines for National Greenhouse Gas Inventories: Reference Manual. 1996.

MacLeod M., Dominic Moran, Vera Eory, R.M. Rees, Adrew Barnes, Caristionia, F.E. Topp, Bruce Ball, Steve Hoad, Eileen Wall, Alistair McVittie, Guillaume Pajot, Robin Marthew. 2010. Developing green house gas marginal abatement cost curves for agricultural emmissions from crops and soils in the UK. s.l. : Elsevier, 2010.

Mai Van Trinh and Tran Van The. 2012. An estimation of GHG reduction potential for Agricultural sector in

  • Vietnam. Hanoi, Vietnam : Project, UNDP/IAE, 2012.

  • MARD. 2011. Decision No 3119/BNN-KHCN on 16/12/2011 on approving national program of GHG eission

reduction in the agircultural and rural development (in Vietnamese). Hanoi, Vietnam : Ministry of Agriculture and Rural Development (MARD), 2011.

  • MARD. 2009. National strategies of agriclture and rural development in period 2011-2020 submited by

Resolution No 3310/BNN-KN issued on 12/10/2009 by Ministry of Agriculture and Rural Development (MARD) (in Vietnamese). Hanoi, Vietnam. 2009.

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Thank you for your attention