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Mateusz Filipski International Food Policy Research Institute May 2014.

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Presentation on theme: "Mateusz Filipski International Food Policy Research Institute May 2014."— Presentation transcript:

1 Mateusz Filipski International Food Policy Research Institute May 2014

2  1 - General Equilibrium Large and Small  2 - LEWIE: Local Economy-wide Impact Evaluation  3 - Application 1: Kenya’s CT-OVC  4 - Other recent applications  5 - Preview of Current work in China  Conclusions

3 General Equilibrium, Large and Small

4 “Once upon a time in Mexico … …“I don’t get Progresa, but tomorrow buyers will be lining up here” Spillovers Local GE effects

5 Shock Rest of Zimbabwe Rest of World Treatment household Control household? Market Rest of the country

6  Villages can have their own markets (& prices) ◦ Factor markets (land, labor) ◦ Commodities (non-tradables, specific varieties, etc.)  Interventions can have spillovers in the village ◦ From target households to non-target households ◦ From target sector to other sectors  What’s a great way to research such spillovers? ◦ Computable General Equilibrium methods ◦ Can be applied to economy of any scale

7  Local Economy-wide Impact Evaluation  Central idea = local economies also experience general equilibrium effects.  CGE analysis is applicable to an economy of any size (household, hamlet, village, region, country, multiple countries) Book (Forthcoming): Taylor and Filipski (2014): Beyond Experiments in Development Economics: Local Economy-Wide Impact Evaluation. Oxford University Press. Most of this talk is based on material in the book

8  What are they? ◦ Systems of equations representing economies  What are they not? ◦ Not econometrics = no statistical significance ◦ Not a forecasting tool  How we build them? ◦ Computer code such a GAMS

9  What do we do with them? ◦ “Laboratory for economic experiments”, “Flight Simulator” ◦ All about markets and linkages. “General Equilibrium effects”, “Higher-order effects”, “Spillover effects”, etc...  Are they a CGE? ◦ “Computable”, “General”, “Equilibrium” => in essence yes

10 CGE– Usually: LEWIE– Usually: ScaleNationalSubnational DataNational AccountsHousehold surveys UsesPolicy Analysis Macro Shocks Local Projects Pilot projects Rural focus More similarities than differences. Models akin in spirit, very similar equations

11  When you arrive ex-post  When you need results ex-ante  When you cannot randomize your treatment  When outcomes are multifaceted, with winners and losers  When you need to know why there is an effect, not just whether (i.e. structure)  When you expect spillovers

12 LEWIE basics

13  Start from the household model  Nest up to a village/region/island/[…] model  Calibrate the model, usually from household data  Perform simulations

14 Production and Consumption behavior

15 Marketed Surplus (for household) Produced Marketed Surplus Consumed Used as Inputs Endowments Treate d Non- Treate d 3 x

16 Treate d Non- Treate d Rest of World Manufactured goods, purchased inputs Crops, livestock, retail, services, labor Market Closures (for village)

17 Indexing allows us to greatly increase number of variables and equations without complicating the model.

18 Cash Transfer in Zambia

19  “Standard” cash transfer intervention  Targets the most vulnerable

20 Transfer Rest of Zimbabwe Rest of World Treatment household Control household? Market

21 From Protection to Production Most evaluations look at the beneficiary households They are a conduit through which cash enters local economies Does the whole local economy, then, become a beneficiary of the CGP …including those who do not get transfers?

22 Beneficiaries: The Point of Entry into the Local Economy

23 Every Kwacha transferred to a poor household generates an additional 0.79 Kwacha in spillovers Most Spillovers Go To Non- beneficiaries

24 *Real-income multipliers (Kwacha) if land, capital, and liquidity constraints limit the local supply response

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26  The economic impacts of social cash transfers are likely to significantly exceed the amount transferred  There may be less of a tradeoff between protection and production than we once thought  Non-beneficiaries should be interested in seeing the transfer programs continue— and expand

27  Positive spillovers depend on having a good supply response  Interventions may be needed to make sure this happens ◦ Micro-credit, extension, etc.

28 FAO Report: Impact of the CGP program on productive activities and labour activities. Benjamin Davis, Silvio Daidone, Josh Dewbre and Mario Gonzalez From Protection to Production Project http://www.fao.org/economic/PtoP/en/ The Transfer Project http://www.cpc.unc.edu/projects/transfer

29 Other applications Mostly from “Beyond Experiments” book (Taylor and Filipski, forthcoming 2014)

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33  Irrigation increases yields in the target zone… but creates spillovers through the region.  Ultimately affects all consumers (+), affects non-irrigated producers (-), affects food processors (+), livestock producers (+)  Milling capacity outside of the irrigated region => regional spillovers  Urban households may be the biggest winners Reference: Filipski, M., Manning, D., Taylor, J. E., Diao, X., & Pradesha, A. (2013). Evaluating the Local Economywide Impacts of Irrigation Projects: Feed the future in Tanzania. IFPRI publications.

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35  Mexico’s leaky Pro-Campo program ◦ Payments are proportional to land ownership ◦ Two databases: payments due / payments received  => there exist discrepancies  Reverse of a Cash Transfer  Creates negative spillovers: each $1 not received by a supposed beneficiary means $1.2 dollars of real income foregone in the economy

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38  Tourism on the Galapagos islands  Construction ban supposed to control tourism and environmental degradation  Small share of tourist expenditures  Can we assume a small impact? => No, because of local migration

39  LEWIE model with migration ◦ Labor comes from the mainland of Ecuador  Increased demand for tourism services triggered increases: ◦ 58% increase in labor migration to the islands ◦ 77% increase in income from fishing activities ◦ 67% in income from agriculture on the islands Full economic impact much larger than tourist expenditures alone suggest

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41  Roatan Corral Reef (Honduras, Caribbean)  Many aspects to value: use value (fishing), non-use value (“existence”), potential value (future scientific knowledge?) etc…  We value is only by tourist expenditures = conservative lower bound

42  We value is only by tourist expenditures… ◦ Accounting for spillovers  Yearly tourist expenditures = $80 million  Net Present Value over 30 years = between$1.3 billion and $4.5 billion (more than the country’s national debt)

43 Preview of work in China With Dr. Yumei Zhang from CAAS-AIRI ( 张玉梅博士,中国农业科学院农业信息研究所 )

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45  Figure 1:Rural household income source (%) Local off farm income share increased from 30% to 35% during 2004-2011

46 2002 Grain for green subsidies 2011 Subsidy for dilapidated housing 2009 Pension insurance 2007 Rural subsistence allowance 2006 Agricultural subsidies 2003 Abolish agricultural tax 2003 Rural health insurance The transfer income share in rural HH increased from 3.7% to 8.7% during 2003-2012. Low income HH: the transfer income share reached 14%.

47  About 20% of laborers worked local odd jobs in 2011.  The wage rate increased from 10~15 yuan to 80~100 yuan per day between 2004 and 2011.  The per capita local odd job income increased from 258 yuan to 926 yuan between 2004 and 2011 with annual real growth rate of 20%. Fig. Per capita local odd job income (yuan at 2004 constant price

48  Reveal the hidden impacts of rural China’s safety-nets, and understand how they have participated to the dramatic evolution of the country-side.  How have the different safety-nets influenced the growth of rural activities?  How did they impact the supply of labor and the shift towards urban employment?

49  Look forward to those results!

50 Conclusions

51  LEWIE modeling: ◦ Applies GE methodology at the local scale ◦ Uncovers spillover impacts of programs and policies ◦ Provides a flexible framework for a variety of situations  Why not Econometrics? ◦ Modeling and Econometrics are complements, not substitutes ◦ Ideally, both… if data is available!  This methodology is not difficult – maybe can be applied in your research

52 Thank you Contact: m.filipski@cigar.org


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