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Climate Change, Agricultural Adaptation, and Food Prices: A Partial Equilibrium Approach using Micro Data Iddo Kan and Ayal Kimhi* * Authors are affiliated with the Department of Agricultural Economics and Management, the Robert H. Smith Faculty


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Climate Change, Agricultural Adaptation, and Food Prices: A Partial Equilibrium Approach using Micro Data

Iddo Kan and Ayal Kimhi*

* Authors are affiliated with the Department of Agricultural Economics and Management, the Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University, and with the Center for Agricultural Economic Research. * Kimhi is currently visiting at the Research Institute for Humanity and Nature (RIHN) in Kyoto, Japan.

Helsinki, September 28th, 2012

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Structure of presentation

  • Methodological approach
  • Application to Israeli agriculture

2

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SLIDE 3

Modeling farm responses to climate change

  • Production approach: experimental or

empirical effects of climate change on yields

  • Ricardian approach: empirical effects of

climate change on farm profits or land values

  • Integrated approach: empirical effects of

climate change on farmers’ decisions feeding into market equilibrium changes that in turn affect farmers’ decisions.

3

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SLIDE 4

How will climate change affect agriculture?

  • Direct effect: Farmers will alter their crop

portfolios

  • Indirect effect: crop prices will change as a

result of the changes in supply, and this will lead to further changes in crop portfolios

  • New equilibrium: these effects feed into each
  • ther until convergence

4

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SLIDE 5

Previous research and our contribution

  • Kaminski et al. (AJAE, forthcoming):

A structural model of regional land allocation among crop-technology bundles

  • Our contribution:

– Adding the market equilibrium component – Estimating land allocations at village level – Allowing for corner solutions in land allocation

5

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SLIDE 6

Analysis Flowchart

Production factors Village-level crop portfolio and land allocation model Climate factors Nationwide demand Demand elasticities Value of local production and imports Output prices Consumer surplus Nationwide production Nationwide partial equilibrium

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SLIDE 7

Structure of presentation

  • Methodological approach
  • Application to Israeli agriculture

–Why is Israeli agriculture a good case study?

7

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SLIDE 8

<0 0-300 300-600 600-1200 Jordan Valley Coastal Plain Mountain Range Altitude 135 km 22,000 km2

Sea of Galilee

N 470km

Mediterranea n Sea

8

Dead Sea Red Sea

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SLIDE 9

SEASONS

Rainy Winter November-March Dry Summer June -August

9

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SLIDE 10

Semi Arid Arid 50 mm 1,200 mm Sub Tropic

Egypt

Lebanon

10

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Varied climate conditions, topography and soil types stimulate the development of unique agricultural technologies

 Climate : Subtropical to Arid

 Topography : - 408m to 1,208m  Soil : Sand dunes to Heavy Loam

11

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SLIDE 12

Value of agricultural production (2010)

2% of Net Domestic Product

12

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SLIDE 13

Climate Change Forecast for Israel

100 200 300 400 500 600 700 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060

mm/year

Year

Precipitation

8 10 12 14 16 18 20 22 24 26 28 30 32 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060

C

  • Year

Temperature

January April July October Average

13

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SLIDE 14

Previous research on Israel

  • Kan et al. (2007)

– Mathematical programming applied to regional data – 20% decrease in net farm revenues by 2100

  • Fleischer et al. (2008)

– Ricardian approach applied to farm-level data – Moderate climate change beneficial but extreme changes harmful

  • Kaminski et al. (forthcoming)

– structural land allocation model applied to regional data from Israel – Up to 10% decrease in aggregate farm profits by 2060

14

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SLIDE 15

Data

  • 1992-2002 annual data from 793 communities
  • 7 crop-technology bundles:

– Irrigated field crops – Rain-fed field crops – Open-field vegetables – Covered vegetables – Deciduous fruits – Subtropical fruits – Citrus and other fruits

15

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SLIDE 16

Egypt

Lebanon

Agricultural communities

16

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Crop portfolios

Activity Fraction of growers All sample (dunam) Per-grower (dunam)

_______________________________________________________________________________________________________________

Vegetables, covered 27% 27 101 Vegetables, open field 73% 804 1,105 Field crops, irrigated 56% 879 1,573 Field crops, rain-fed 65% 1,319 2,016 Deciduous fruits 36% 123 338 Subtropical fruits 63% 174 274 Citrus & other fruits 82% 421 513

17

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Climate data

Precipitation mm/year 395.1 Precipitation S.D. mm/year 121.6 Degree days - January Co 145.1 Degree days –April Co 328.7 Degree days – July Co 576.9 Degree days – October Co 441.3 Degree days – inter-annual S.D. Co 198.9 Degree days – intra-annual S.D. Co 5.6 Degree days above 34 Co Co 0.46 Degree days below 8 Co Co 6.4

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Crop price indices

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40 50 60 70 80 90 100 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 Field crops Vegetables Citrus Other fruits

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Climate variables coefficients

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Variable Vegetables Covered Vegetables Open field Field crops Irrigated Field crops Rain-fed Deciduous Subtropic. Citrus & Other

Precipitation

  • 1.543** 19.69***

9.21*** 8.715** 7.759***

  • 0.532 -17.73***

Precipitation S.D. 6.897*** -32.65*** -14.87** -72.07*** -18.93*** 7.521*** 51.98***

  • Deg. days - Jan.
  • 8.232*** 15.13**
  • 8.701

11.73

  • 2.736 -9.753*** 9.341**
  • Deg. days –April
  • 0.242

58.61*** 34.44***

  • 16.03*

25.55***

  • 0.730
  • 7.721**
  • Deg. days – July

30.52*** 49.3*** 42.58*** 50.58*** -18.89*** -9.886*** 12.81**

  • Deg. days – October
  • 10.69*** -17.93* -37.23***
  • 4.802
  • 43.71*** 27.49***

11.36* DD - inter ann. S.D. 2.99* 1.229 11.33** 82.05*** 17.76*** -8.067*** 2.681 DD - intra ann. S.D.

  • 1552***
  • 920
  • 2796***
  • 1851** -1852*** 419.4*** 917.8***

DD above 34Co 61.83** -476.6*** -885.5*** -1190*** 152.3*** 221.2*** -472.8*** DD below 8Co

  • 5.118** 20.54*** 27.02*** -34.04*** 14.61***
  • 1.568

5.705*

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SLIDE 21

100 200 300 400 500

Precipitation by climate Periods

1981-2000 2001-2020 2021-2040 2041-2060

600 700

1970 1980 1990 2000 2010 2020 2030 2040 2050 2060

mm/year

Year

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Climate Change Relative to 1981-2000 (%)

  • 20

20 40 60 80 100 120 140 160

2001 - 2020 2021 - 2040 2041 - 2060

  • 100
  • 80
  • 60
  • 40
  • 20

20 40 60 80 100 120 140 160

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Demand functions

0.5 1 1.5 2 2.5 3 3.5 0.5 1 1.5 2 Price Index Quantity Index Field crops International price

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Forecasted price indices

80 90 100 110 120 130 140 150 160

1981-2000 2001-2020 2021-2040 2041-2060

Field Crops Fruits Vegetables

Vegetables Vegetables Vegetables Fruits Fruits Fruits

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25

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Citrus & other plantations Sub tropic plantations Deciduous Field crops, rainfed Field crops, irrigates Vegetables, open space Vegetables, covered

Forecasted land allocations

1981

  • 2000

Baseline

2001- 2020 2021- 2040 2041- 2060

Fixed prices

2001- 2020 2021- 2040 2041- 2060

Partial equilibria

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26

20 40 60 80 100 120 140

1981-2000 2001-2020 2021-2040 2041-2060 2001-2020 2021-2040 2041-2060

Quantity Index of Total Production

Baseline Fixed prices Partial equilibria

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27

1 2 3 4 5 6 7 8 9

1981-2000 2001-2020 2021-2040 2041-2060 2001-2020 2021-2040 2041-2060

Value of Total Production (million NIS)

Baseline Fixed prices Partial equilibria

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28

1 2 3 4 5 6 7

1981-2000 2001-2020 2021-2040 2041-2060 Production

Imports

Production Production Production

Imports Imports

Value of Production, Imports and Consumption under partial equilibria (million NIS)

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Summary

  • Climate change is expected to bring

about considerable changes in Israeli agriculture

  • Ignoring price changes may lead to

erroneous production expectations

  • Our methodology takes into account:

–Effects of price changes –Changes in crop portfolios at the farm level, including corner solutions

29

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Wastewater recycling

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Source: Lavee and Ash (forthcoming)

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500 1,000 1,500 2,000 2,500 3,000

1960 1970 1980 1990 2000 2010 2020 2030 Desalinated Recycled Natural

Water sources (million m3)

Source: Yoav Kislev, Taub Center (2012)

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SLIDE 32

32

Source: Modified from Yoav Kislev, “Water Pricing” (2010) and Taub Center (2012)

Water prices and direct costs

water for agriculture (in $US/CM, 2010 prices)

0.00 0.10 0.20 0.30 0.40 0.50 0.60 1950 1960 1970 1980 1990 2000 2010

Price Cost