SlideShare une entreprise Scribd logo
1  sur  35
Lilyan E. Fulginiti
            Professor
Department of Agricultural Economics
Food Security Wake-up:
  2007-2008: “Perfect Food Security Storm”

• Crude oil reached $145/bbl (July 08)

• Growing demand for food in India and China

• Unfavorable weather in Russia and Australia




 Prices of food commodities spiked upward (2008)
2007-2008: “Food Security Wake-up”
2008-2011: Cheap Food Again?

• The great price crash, July- Dec 2008:
   – Oil:    $133 to $40 (-70%)
   – Corn: $5.47 to $4.11 (-25%)

• But crop prices remain 50% above 1990-2000, …so?


 Focus away from spikes towards trends
The World Food Equation
          Prices adjust so that:

Demand for Food = Supply of Food



 More People             More Inputs
 Higher incomes          Higher Productivity
                           (= Higher efficiency+
                              New technologies)
1950-2000: “The Age of Abundance”


Demand increases less than Supply increases




Real Prices of Food Commodities Decreased
1950-2000: “The Age of Abundance”
                                  World net agricultural production
                  1,800

                  1,600

                  1,400

                  1,200
billion dollars




                  1,000

                   800

                   600

                   400

                   200

                     0
                          1961   1966    1971   1976   1981   1986    1991   1996   2001   2006

                          World         Developed countries          Developing countries
1950-2000: “The Age of Abundance”
  Real Price of Soybeans, Wheat, and Corn
Questions for the next half-century:


•What will be the growth rate in demand
    for agricultural output?
UNL is working on this


•Can that growth rate in supply be
     sustained while protecting the
     environment?
UNL is working on this
At what rate will demand increase through 2050?

   Source of demand growth                  LDC’s         DC’s    World
   population - annual growth rate          0.8%          0.08%    0.7%
   income - annual growth rate              5.2%          1.6%     2.9%
                                                                   (0.6%)
   biofuels – annual growth rate from 36                           3.8%
   '   m ha in 2009 (2.5% of arable land)                         (0.001%)

   total rate of increase                                         ~1.3 %

                     Annual growth rate     Increase by 2050

                             0.7%                   32%
                             1.0%                   49%
                             1.3%                   68%
                             1.5%                   81%
The Sources of Increased Food Supply:

• More inputs:
   more land
   more water
   more labor, chemicals, machinery

• More productivity from inputs:
   land productivity = yield = output ÷ acres
   total factor productivity = output index ÷ input index
What are the prospects for more inputs?


    Labor, chemicals, machinery:
      supplies are elastic
      distribution may be an issue


    Land, water:
      supplies are inelastic
Reasons for caution
           about land and water expansion
• Ecological impacts of land conversions
   – biodiversity
   – fragile ecosystems

• Land use and climate change (IPCC)
   – Conversion of forests and savannas release CO2
               ~10 % of anthropogenic GHG emissions

• Water problems (IWMI)
  – many river basins poorly managed, and overcommitted
  – Groundwater levels are declining rapidly in densely populated areas
      of North Africa, North China, India, and Mexico
    – Water management institutions have been slow to build or change
      capacity and adapt to new issues and conditions
    – Climate is changing
Given this caution …

to grow output by 1.3% per year, we must
 continue to rely on what brought the age of
                 abundance:

            PRODUCTIVITY GAINS
   the other source of growth in agricultural output

 What is the rate relative to the 1.3% need?
Single Factor Productivity – Output per hectare
                   World Yield Growth Rate in Cereal Crops
                                 (10-yr moving average)

 5.0%

 4.5%                                                                   Maize

 4.0%                                                                   Rice, paddy

                                                                        Wheat
 3.5%

 3.0%

 2.5%

 2.0%

 1.5%

 1.0%

 0.5%

 0.0%
     1965   1970   1975   1980       1985        1990     1995   2000     2005        2010
Multifactor Productivity Measures (MFP or TFP)

  TFP growth is the difference:


  GTFP = GOutputs - GInputs


Productivity Growth = (actual production growth) -
                   (production growth if no change in
                   technology or efficiency)
United States Agriculture
Agricultural Productivity Growth in Western Europe
                     1973-2003 (11 country aggregate)
                      60% increase vs. 75% increase for US
350




300
             Labor productivity

             Total factor productivity

250




200




150




100




 50
      1973        1978                   1983   1988   1993   1998   2003
Agricultural TFP in EU and US

1.2



      1
                                          be
                                          dk

0.8                                       de
                                          gr
                                          es
                                          fr
0.6
                                          ie
                                          it
                                          nl
0.4                                       se
                                          uk
                                          US
0.2



      0
TFP Canadian Agriculture, 1940-2003
TFP Australian Agriculture, 1978-2007
Agricultural Productivity Growth in LDC’s

Research at UNL has examined:

  – Sub-Sahara Africa: 46 countries, 1961-2006

  – South America: 10 countries, 1972-2006

  – Central America: 14 countries, 1980-2006

  – China: 30 provinces, 1993-2005
Average TFP Growth Rates SSA Regions
    1.4                          1961-2006 (%)
    1.2

      1

    0.8

    0.6

    0.4

    0.2

      0
                    East Africa                      Southern Africa                          West Africa                        Central Africa




                                         TFP % (1961-1989)                               TFP % (1989-2006)

Source: Kibonge, A. and L. Fulginiti, “Institutions and Agricultural Productivity Growth in Sub-Sahara Africa?”, Presented at the AAEA meetings,
Pittsburgh, July 2011.
TFP growth rate South America 1972-2006 (%)
3.5


  3


2.5


  2


1.5


  1


0.5


  0
         Argentina           Chile           Brazil           Peru           Ecuador        Venezuela Uruguay                   Bolivia        Colombia Paraguay

-0.5
                                                                       1972-1989            1990-2006
       Source: Trindade, F and L. Fulginiti, "Is there a Slowdown in Agricultural Productivity Growth in South America?”, Dept. of Agricultural Economics,
       University of Nebraska, Lincoln, 2010.
TFP Growth Rate Central America and Caribbean
                    1980-2006 (%)
4

3

2

1

0

-1

-2

-3

-4
                1980-1989     1990-2006
TFP growth rates Chinese Regions, 1993-2005 (%)


             6


             5


             4


             3


             2


             1


             0
                                     EAST                                       CENTRAL                                        WEST




Source: Tong, H., L. Fulginiti and J. Sesmero, “Agricultural Productivity in China: National and Regional Growth Patterns, 1993-2005,” in Fuglie, K. et al.,
editors. Productivity Growth in Agriculture: An International Perspective. Oxfordshire, UK: CAB International (forthcoming).
TFP growth rates Chinese Provinces, 1993-2005 (%)

8

7

6

5

4

3

2

1

0




                                                                                                                                                                                                                                                                                                                Tibet
                                                                                                                                                                                                         Guangxi
                                                                                                                                                           Xinjiang




                                                                                                                                                                                                                   Qinghai




                                                                                                                                                                                                                                                        Ningxia




                                                                                                                                                                                                                                                                                               Inner mongolia
                                                                                                                                                                      Tianjing
                                                                                                                            National Mean
                                                                 Hainan
                Fujian




                                                                                                                                                                                                                                       Gansu
                                                         Hebei
                                    Beijing




                                                                                                                                                                                         Anhui




                                                                                                                                                                                                                                                                  Jiangxi
                         Liaoning



                                              Shanghai




                                                                                                                                                                                                                             Shaanxi



                                                                                                                                                                                                                                               Shanxi
                                                                                                 Jilin




                                                                                                                                                                                 Hubei
      Jiangsu




                                                                          Guangdong




                                                                                                                 Zhejiang
                                                                                      Shandong



                                                                                                         Henan




                                                                                                                                            Heilongjiang




                                                                                                                                                                                                                                                                                      Yunnan
                                                                                                                                                                                                 Hunan




                                                                                                                                                                                                                                                                            Sichuan
-1

-2




Source: Tong, H., L. Fulginiti and J. Sesmero, “Agricultural Productivity in China: National and Regional Growth Patterns, 1993-2005,” in Fuglie, K. et al.,
editors. Productivity Growth in Agriculture: An International Perspective. Oxfordshire, UK: CAB International (forthcoming).
What factors affect differences in TFP rates?
•   Irrigation

•   Roads and other infrastructure

•   Education and Health Expenditures

•   Public Expenditures in Agriculture

•   Policies

•   Civil Liberties and Political Rights

•   Colonial Heritage

•   Years since regime change

•   Conflicts
TFP growth rates 1990 on, compared to 1.3%
US: 1.57 ↓

EU: 1.53 ↓

Canada: 1.4% ↓

Australia: 0.7% ↓

China: 3.2% ↑

South America: 2.5% ↑

CA and the Caribbean: 1.5% ↑

SSA: 1.09% ↑
Can the rate of growth of the last 50 years be
                  sustained?

        Evidence of slowdown in DC’s

Room for higher rates of growth in some LDC’s
                    BUT
      more intensive use of resources
            INNOVATIONS = R&D
ERS, derived from OECD, Eurostat and ASTI data
Source: Fuglie et al. (unpublished, in preparation)
Internal Rates of Return, US Ag R&D, 1949-1991, %
                                            (straight green line average return S&P500)

    40


    35


    30


    25


    20


    15


    10


     5


     0


          GA
          NC


           TX




           NJ
           NE


            IA




           TN




          NV
          NM




          ND




          NH




           NY
             IL




           WI


           IN
          OK




          WY




           LA




          WA




           PA
           MI




            ID
           SD




          OH
          MN
           KS




          MS
          MO




          CO


           KY

           AR




          MT




           AZ




          OR
           AL
           VA

           SC


          WV
          ME
            FL
           VT
          MD

           DE
          MA




            RI
           UT




           CA




           CT
Source: Plastina, A. and L. Fulginiti, “Internal Rates of Return to Agricultural R&D in 48 US States,” Journal of Productivity Analysis, (forthcoming).
USDA Forecast of U.S. Ag Productivity to 2050 -
                          Based on Research at UNL




Source: USDA Economic Brief 17, July 2011, forecast based on Wang, L., E. Balll, L. Fulginiti, and A. Plastina: “Benefits of Public R&D in U.S. Agriculture:
Spill-ins, Extension, and Roads,” in Fuglie, K. et al., editors. Productivity Growth in Agriculture: An International Perspective. Oxfordshire, UK: CAB
International (forthcoming).
• Most TFP growth rates above 1.3%

• Slowdown in productivity growth in DC’s

• Slowdown in agricultural R&D investments

• LDC’s TFP growing but limited R&D capacity

• Spillovers from rich to poor countries?

• Sustainable agricultural productivity growth?

Contenu connexe

Tendances

An analysis of factors affecting smallholder rice farmers’ level
An analysis of factors affecting smallholder rice farmers’ levelAn analysis of factors affecting smallholder rice farmers’ level
An analysis of factors affecting smallholder rice farmers’ level
Alexander Decker
 
HSBC - The Future is Farming
HSBC - The Future is FarmingHSBC - The Future is Farming
HSBC - The Future is Farming
Veripath Partners
 

Tendances (17)

Li Zhengguo — Response of maize phenophases to temperature changes in northea...
Li Zhengguo — Response of maize phenophases to temperature changes in northea...Li Zhengguo — Response of maize phenophases to temperature changes in northea...
Li Zhengguo — Response of maize phenophases to temperature changes in northea...
 
Food Security in the 21st Century: Actions for Better Governance, Market Fun...
Food Security in the 21st Century:  Actions for Better Governance, Market Fun...Food Security in the 21st Century:  Actions for Better Governance, Market Fun...
Food Security in the 21st Century: Actions for Better Governance, Market Fun...
 
Chap3 m0-soeg-large k contribution -pp 224
Chap3 m0-soeg-large k contribution -pp 224Chap3 m0-soeg-large k contribution -pp 224
Chap3 m0-soeg-large k contribution -pp 224
 
An analysis of factors affecting smallholder rice farmers’ level
An analysis of factors affecting smallholder rice farmers’ levelAn analysis of factors affecting smallholder rice farmers’ level
An analysis of factors affecting smallholder rice farmers’ level
 
Public Sector Budget Allocation to Agriculture and Effeciency of Resource Use...
Public Sector Budget Allocation to Agriculture and Effeciency of Resource Use...Public Sector Budget Allocation to Agriculture and Effeciency of Resource Use...
Public Sector Budget Allocation to Agriculture and Effeciency of Resource Use...
 
HSBC - The Future is Farming
HSBC - The Future is FarmingHSBC - The Future is Farming
HSBC - The Future is Farming
 
Beyond agriculture: Measuring agri-food system GDP and employment
Beyond agriculture: Measuring agri-food system GDP and employmentBeyond agriculture: Measuring agri-food system GDP and employment
Beyond agriculture: Measuring agri-food system GDP and employment
 
Functions of Wheat Supply and Demand in Saudi Arabia
Functions of Wheat Supply and Demand in Saudi ArabiaFunctions of Wheat Supply and Demand in Saudi Arabia
Functions of Wheat Supply and Demand in Saudi Arabia
 
Fsd 2013 sabine homann
Fsd 2013 sabine homannFsd 2013 sabine homann
Fsd 2013 sabine homann
 
Global Agriculture Industry
Global Agriculture IndustryGlobal Agriculture Industry
Global Agriculture Industry
 
Turkish Agriculture 1980-2015
Turkish Agriculture 1980-2015Turkish Agriculture 1980-2015
Turkish Agriculture 1980-2015
 
02 agriculture
02 agriculture02 agriculture
02 agriculture
 
02 agriculture
02 agriculture02 agriculture
02 agriculture
 
The Changing Economics and Politics of Rice: Implications for Food Security, ...
The Changing Economics and Politics of Rice: Implications for Food Security, ...The Changing Economics and Politics of Rice: Implications for Food Security, ...
The Changing Economics and Politics of Rice: Implications for Food Security, ...
 
"Food Security in Complex Emergencies"
"Food Security in Complex Emergencies""Food Security in Complex Emergencies"
"Food Security in Complex Emergencies"
 
The Future of African Agriculture
The Future of African AgricultureThe Future of African Agriculture
The Future of African Agriculture
 
Fifty Years of Distortions in Worls Food Markets
Fifty Years of Distortions in Worls Food Markets Fifty Years of Distortions in Worls Food Markets
Fifty Years of Distortions in Worls Food Markets
 

Similaire à 20 lilyan fulginiti

State of Philippine Agriculture
State of Philippine AgricultureState of Philippine Agriculture
State of Philippine Agriculture
Karl Obispo
 
Beyond Agriculture: A Greater Role for Urban Industrial Growth?
Beyond Agriculture: A Greater Role for Urban Industrial Growth?Beyond Agriculture: A Greater Role for Urban Industrial Growth?
Beyond Agriculture: A Greater Role for Urban Industrial Growth?
essp2
 
The future of Ethiopia's agriculture: Drivers and Scenarios
The future of Ethiopia's agriculture: Drivers and ScenariosThe future of Ethiopia's agriculture: Drivers and Scenarios
The future of Ethiopia's agriculture: Drivers and Scenarios
essp2
 
New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...
New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...
New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...
UNDP Policy Centre
 
Rural labour markets in transforming agricultural economies the case of ethiopia
Rural labour markets in transforming agricultural economies the case of ethiopiaRural labour markets in transforming agricultural economies the case of ethiopia
Rural labour markets in transforming agricultural economies the case of ethiopia
essp2
 

Similaire à 20 lilyan fulginiti (20)

2 van der Mensbrugghe- Insights from global model intercomparisons
2 van der Mensbrugghe- Insights from global model intercomparisons2 van der Mensbrugghe- Insights from global model intercomparisons
2 van der Mensbrugghe- Insights from global model intercomparisons
 
Agricultural Development Poverty Seminar
Agricultural Development Poverty SeminarAgricultural Development Poverty Seminar
Agricultural Development Poverty Seminar
 
State of Philippine Agriculture
State of Philippine AgricultureState of Philippine Agriculture
State of Philippine Agriculture
 
Hunger and Food Security
Hunger and Food SecurityHunger and Food Security
Hunger and Food Security
 
Beyond Agriculture: A Greater Role for Urban Industrial Growth?
Beyond Agriculture: A Greater Role for Urban Industrial Growth?Beyond Agriculture: A Greater Role for Urban Industrial Growth?
Beyond Agriculture: A Greater Role for Urban Industrial Growth?
 
Dr. r.b.singh
Dr. r.b.singhDr. r.b.singh
Dr. r.b.singh
 
The future of Ethiopia's agriculture: Drivers and Scenarios
The future of Ethiopia's agriculture: Drivers and ScenariosThe future of Ethiopia's agriculture: Drivers and Scenarios
The future of Ethiopia's agriculture: Drivers and Scenarios
 
Macro-Policy, Agricultural Growth and Poverty Reduction in Ethiopia: Maintai...
Macro-Policy, Agricultural Growth and Poverty  Reduction in Ethiopia: Maintai...Macro-Policy, Agricultural Growth and Poverty  Reduction in Ethiopia: Maintai...
Macro-Policy, Agricultural Growth and Poverty Reduction in Ethiopia: Maintai...
 
New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...
New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...
New Dynamics and Trajectories of Agrarian Change in Bolivia: The Soy Complex ...
 
Food market transformation and improving food security in Asia (within and ac...
Food market transformation and improving food security in Asia (within and ac...Food market transformation and improving food security in Asia (within and ac...
Food market transformation and improving food security in Asia (within and ac...
 
india2013
india2013india2013
india2013
 
Fao presentation
Fao presentationFao presentation
Fao presentation
 
China’s Grain Policy and World
China’s Grain Policy and WorldChina’s Grain Policy and World
China’s Grain Policy and World
 
Gene revolution pingali 2010
Gene revolution pingali 2010Gene revolution pingali 2010
Gene revolution pingali 2010
 
Agricultue issue Pakistan new
Agricultue issue Pakistan newAgricultue issue Pakistan new
Agricultue issue Pakistan new
 
Livestock & Food Markets for Food Security
Livestock & Food Markets for Food SecurityLivestock & Food Markets for Food Security
Livestock & Food Markets for Food Security
 
The seed sector in the Philippines - Mercy Sombilla
The seed sector in the Philippines - Mercy SombillaThe seed sector in the Philippines - Mercy Sombilla
The seed sector in the Philippines - Mercy Sombilla
 
Keating - Sustainable intensification and the food security challenge
Keating - Sustainable intensification and the food security challenge Keating - Sustainable intensification and the food security challenge
Keating - Sustainable intensification and the food security challenge
 
Smallholders in the Era of Globalization
Smallholders in the Era of GlobalizationSmallholders in the Era of Globalization
Smallholders in the Era of Globalization
 
Rural labour markets in transforming agricultural economies the case of ethiopia
Rural labour markets in transforming agricultural economies the case of ethiopiaRural labour markets in transforming agricultural economies the case of ethiopia
Rural labour markets in transforming agricultural economies the case of ethiopia
 

Plus de jillbrown14

Women in Ag 2012 - Living in a Checklist World
Women in Ag 2012 -  Living in a Checklist WorldWomen in Ag 2012 -  Living in a Checklist World
Women in Ag 2012 - Living in a Checklist World
jillbrown14
 
22 karina schoengold
22   karina schoengold22   karina schoengold
22 karina schoengold
jillbrown14
 
21 richard perrin
21   richard perrin21   richard perrin
21 richard perrin
jillbrown14
 
17 chris calkins
17   chris calkins17   chris calkins
17 chris calkins
jillbrown14
 
16 galen erickson
16   galen erickson16   galen erickson
16 galen erickson
jillbrown14
 
14 & 15 adams-funston
14 & 15   adams-funston14 & 15   adams-funston
14 & 15 adams-funston
jillbrown14
 
13 janos zempleni
13   janos zempleni13   janos zempleni
13 janos zempleni
jillbrown14
 
11 sally mackenzie
11  sally mackenzie11  sally mackenzie
11 sally mackenzie
jillbrown14
 
2 oyler, weeks, van etten
2   oyler, weeks, van etten2   oyler, weeks, van etten
2 oyler, weeks, van etten
jillbrown14
 
23 konstantinos giannakas
23   konstantinos giannakas23   konstantinos giannakas
23 konstantinos giannakas
jillbrown14
 

Plus de jillbrown14 (19)

Women in Ag 2012 - Living in a Checklist World
Women in Ag 2012 -  Living in a Checklist WorldWomen in Ag 2012 -  Living in a Checklist World
Women in Ag 2012 - Living in a Checklist World
 
24 brad lubben
24   brad lubben24   brad lubben
24 brad lubben
 
22 karina schoengold
22   karina schoengold22   karina schoengold
22 karina schoengold
 
21 richard perrin
21   richard perrin21   richard perrin
21 richard perrin
 
18 steve jones
18   steve jones18   steve jones
18 steve jones
 
17 chris calkins
17   chris calkins17   chris calkins
17 chris calkins
 
16 galen erickson
16   galen erickson16   galen erickson
16 galen erickson
 
14 & 15 adams-funston
14 & 15   adams-funston14 & 15   adams-funston
14 & 15 adams-funston
 
13 janos zempleni
13   janos zempleni13   janos zempleni
13 janos zempleni
 
12 andy benson
12   andy benson12   andy benson
12 andy benson
 
11 sally mackenzie
11  sally mackenzie11  sally mackenzie
11 sally mackenzie
 
10 ed cahoon
10   ed cahoon10   ed cahoon
10 ed cahoon
 
8 jerry hudgins
8   jerry hudgins8   jerry hudgins
8 jerry hudgins
 
7 gautam sarath
7   gautam sarath7   gautam sarath
7 gautam sarath
 
6 weber amaral
6   weber amaral6   weber amaral
6 weber amaral
 
2 oyler, weeks, van etten
2   oyler, weeks, van etten2   oyler, weeks, van etten
2 oyler, weeks, van etten
 
1 ronnie green
1   ronnie green1   ronnie green
1 ronnie green
 
9 bill kranz
9   bill kranz9   bill kranz
9 bill kranz
 
23 konstantinos giannakas
23   konstantinos giannakas23   konstantinos giannakas
23 konstantinos giannakas
 

Dernier

Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
 

Dernier (20)

Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 

20 lilyan fulginiti

  • 1. Lilyan E. Fulginiti Professor Department of Agricultural Economics
  • 2. Food Security Wake-up: 2007-2008: “Perfect Food Security Storm” • Crude oil reached $145/bbl (July 08) • Growing demand for food in India and China • Unfavorable weather in Russia and Australia Prices of food commodities spiked upward (2008)
  • 4. 2008-2011: Cheap Food Again? • The great price crash, July- Dec 2008: – Oil: $133 to $40 (-70%) – Corn: $5.47 to $4.11 (-25%) • But crop prices remain 50% above 1990-2000, …so? Focus away from spikes towards trends
  • 5. The World Food Equation Prices adjust so that: Demand for Food = Supply of Food More People More Inputs Higher incomes Higher Productivity (= Higher efficiency+ New technologies)
  • 6. 1950-2000: “The Age of Abundance” Demand increases less than Supply increases Real Prices of Food Commodities Decreased
  • 7. 1950-2000: “The Age of Abundance” World net agricultural production 1,800 1,600 1,400 1,200 billion dollars 1,000 800 600 400 200 0 1961 1966 1971 1976 1981 1986 1991 1996 2001 2006 World Developed countries Developing countries
  • 8. 1950-2000: “The Age of Abundance” Real Price of Soybeans, Wheat, and Corn
  • 9. Questions for the next half-century: •What will be the growth rate in demand for agricultural output? UNL is working on this •Can that growth rate in supply be sustained while protecting the environment? UNL is working on this
  • 10. At what rate will demand increase through 2050? Source of demand growth LDC’s DC’s World population - annual growth rate 0.8% 0.08% 0.7% income - annual growth rate 5.2% 1.6% 2.9% (0.6%) biofuels – annual growth rate from 36 3.8% ' m ha in 2009 (2.5% of arable land) (0.001%) total rate of increase ~1.3 % Annual growth rate Increase by 2050 0.7% 32% 1.0% 49% 1.3% 68% 1.5% 81%
  • 11. The Sources of Increased Food Supply: • More inputs: more land more water more labor, chemicals, machinery • More productivity from inputs: land productivity = yield = output ÷ acres total factor productivity = output index ÷ input index
  • 12. What are the prospects for more inputs? Labor, chemicals, machinery: supplies are elastic distribution may be an issue Land, water: supplies are inelastic
  • 13. Reasons for caution about land and water expansion • Ecological impacts of land conversions – biodiversity – fragile ecosystems • Land use and climate change (IPCC) – Conversion of forests and savannas release CO2 ~10 % of anthropogenic GHG emissions • Water problems (IWMI) – many river basins poorly managed, and overcommitted – Groundwater levels are declining rapidly in densely populated areas of North Africa, North China, India, and Mexico – Water management institutions have been slow to build or change capacity and adapt to new issues and conditions – Climate is changing
  • 14. Given this caution … to grow output by 1.3% per year, we must continue to rely on what brought the age of abundance: PRODUCTIVITY GAINS the other source of growth in agricultural output What is the rate relative to the 1.3% need?
  • 15. Single Factor Productivity – Output per hectare World Yield Growth Rate in Cereal Crops (10-yr moving average) 5.0% 4.5% Maize 4.0% Rice, paddy Wheat 3.5% 3.0% 2.5% 2.0% 1.5% 1.0% 0.5% 0.0% 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
  • 16. Multifactor Productivity Measures (MFP or TFP) TFP growth is the difference: GTFP = GOutputs - GInputs Productivity Growth = (actual production growth) - (production growth if no change in technology or efficiency)
  • 18. Agricultural Productivity Growth in Western Europe 1973-2003 (11 country aggregate) 60% increase vs. 75% increase for US 350 300 Labor productivity Total factor productivity 250 200 150 100 50 1973 1978 1983 1988 1993 1998 2003
  • 19. Agricultural TFP in EU and US 1.2 1 be dk 0.8 de gr es fr 0.6 ie it nl 0.4 se uk US 0.2 0
  • 22. Agricultural Productivity Growth in LDC’s Research at UNL has examined: – Sub-Sahara Africa: 46 countries, 1961-2006 – South America: 10 countries, 1972-2006 – Central America: 14 countries, 1980-2006 – China: 30 provinces, 1993-2005
  • 23. Average TFP Growth Rates SSA Regions 1.4 1961-2006 (%) 1.2 1 0.8 0.6 0.4 0.2 0 East Africa Southern Africa West Africa Central Africa TFP % (1961-1989) TFP % (1989-2006) Source: Kibonge, A. and L. Fulginiti, “Institutions and Agricultural Productivity Growth in Sub-Sahara Africa?”, Presented at the AAEA meetings, Pittsburgh, July 2011.
  • 24. TFP growth rate South America 1972-2006 (%) 3.5 3 2.5 2 1.5 1 0.5 0 Argentina Chile Brazil Peru Ecuador Venezuela Uruguay Bolivia Colombia Paraguay -0.5 1972-1989 1990-2006 Source: Trindade, F and L. Fulginiti, "Is there a Slowdown in Agricultural Productivity Growth in South America?”, Dept. of Agricultural Economics, University of Nebraska, Lincoln, 2010.
  • 25. TFP Growth Rate Central America and Caribbean 1980-2006 (%) 4 3 2 1 0 -1 -2 -3 -4 1980-1989 1990-2006
  • 26. TFP growth rates Chinese Regions, 1993-2005 (%) 6 5 4 3 2 1 0 EAST CENTRAL WEST Source: Tong, H., L. Fulginiti and J. Sesmero, “Agricultural Productivity in China: National and Regional Growth Patterns, 1993-2005,” in Fuglie, K. et al., editors. Productivity Growth in Agriculture: An International Perspective. Oxfordshire, UK: CAB International (forthcoming).
  • 27. TFP growth rates Chinese Provinces, 1993-2005 (%) 8 7 6 5 4 3 2 1 0 Tibet Guangxi Xinjiang Qinghai Ningxia Inner mongolia Tianjing National Mean Hainan Fujian Gansu Hebei Beijing Anhui Jiangxi Liaoning Shanghai Shaanxi Shanxi Jilin Hubei Jiangsu Guangdong Zhejiang Shandong Henan Heilongjiang Yunnan Hunan Sichuan -1 -2 Source: Tong, H., L. Fulginiti and J. Sesmero, “Agricultural Productivity in China: National and Regional Growth Patterns, 1993-2005,” in Fuglie, K. et al., editors. Productivity Growth in Agriculture: An International Perspective. Oxfordshire, UK: CAB International (forthcoming).
  • 28. What factors affect differences in TFP rates? • Irrigation • Roads and other infrastructure • Education and Health Expenditures • Public Expenditures in Agriculture • Policies • Civil Liberties and Political Rights • Colonial Heritage • Years since regime change • Conflicts
  • 29. TFP growth rates 1990 on, compared to 1.3% US: 1.57 ↓ EU: 1.53 ↓ Canada: 1.4% ↓ Australia: 0.7% ↓ China: 3.2% ↑ South America: 2.5% ↑ CA and the Caribbean: 1.5% ↑ SSA: 1.09% ↑
  • 30. Can the rate of growth of the last 50 years be sustained? Evidence of slowdown in DC’s Room for higher rates of growth in some LDC’s BUT more intensive use of resources INNOVATIONS = R&D
  • 31. ERS, derived from OECD, Eurostat and ASTI data
  • 32. Source: Fuglie et al. (unpublished, in preparation)
  • 33. Internal Rates of Return, US Ag R&D, 1949-1991, % (straight green line average return S&P500) 40 35 30 25 20 15 10 5 0 GA NC TX NJ NE IA TN NV NM ND NH NY IL WI IN OK WY LA WA PA MI ID SD OH MN KS MS MO CO KY AR MT AZ OR AL VA SC WV ME FL VT MD DE MA RI UT CA CT Source: Plastina, A. and L. Fulginiti, “Internal Rates of Return to Agricultural R&D in 48 US States,” Journal of Productivity Analysis, (forthcoming).
  • 34. USDA Forecast of U.S. Ag Productivity to 2050 - Based on Research at UNL Source: USDA Economic Brief 17, July 2011, forecast based on Wang, L., E. Balll, L. Fulginiti, and A. Plastina: “Benefits of Public R&D in U.S. Agriculture: Spill-ins, Extension, and Roads,” in Fuglie, K. et al., editors. Productivity Growth in Agriculture: An International Perspective. Oxfordshire, UK: CAB International (forthcoming).
  • 35. • Most TFP growth rates above 1.3% • Slowdown in productivity growth in DC’s • Slowdown in agricultural R&D investments • LDC’s TFP growing but limited R&D capacity • Spillovers from rich to poor countries? • Sustainable agricultural productivity growth?