Artificial insemination, livestock productivity and economic growth in Senegal François Joseph CABRAL Mamadou DIALLO.

Slides:



Advertisements
Similar presentations
Linking A snapshot of challenges & opportunities for food security & sovereignty in West Africa Meredith Kushnir, REAP-Canada, Presentation for Dig In!
Advertisements

NIORO case study Amy Faye ISRA-BAME. Objectives Climate change impact assessment Objectives : Assess the distributional impact of climate change in the.
Towards an integrated South African Green Economy Model (SAGEM)
China agriculture: customer or competitor? Allan Rae.
Food Security Prepared By :Rana Hassan Supervised By :Dr. Raed Alkowni
Productivity and Growth Chapter 7. Growth is an increase in potential output Potential Output: the highest amount of output an economy can produce from.
Explorations in Economics
Innovative applications in animal production Paschalis Fortomaris and Georgios Arsenos Laboratory of Animal Husbandry, Faculty of Veterinary Medicine,
The Economic Impact of Loss of the Beef Export Market Due to Mad Cow Disease: National and Regional Analysis David Holland, Leroy Stodick, Stephen Devadoss.
Local & Regional Economics Regional and Local Economics (RELOCE) Lecture slides – Lecture 3a 1 Regional growth the Neoclassical perspective.
Lecture 22: The Environment and Development
A Comparative Analysis of Technical Efficiency of Tobacco and Maize Farmers in Tabora- Tanzania A.Kidane; A.Hepelwa; E.Ngeh & T. W. Hu This study was supported.
ESAAR MICROFINANCE A Community Based Model Arshad Mehmood Head of Program Helping Hand for Relief & Development “Livestock and Dairy Development: Role.
Energy Consumption in U.S. Agriculture John A. Miranowski Professor of Economics Iowa State University.
Innovation Economics Class 3.
Dairy Sector in Nepal Dairy sub-sector shares more than 60 % of livestock sector contribution to GDP. Annual production of milk is 1.35 million metric.
UGANDA NATIONAL PANEL SURVEY PROGRAM DECEMBER 2013 By James Muwonge, Uganda Bureau of Statistics Uganda Bureau of Statistics.
Agricultural Policy Analysis Prof. Samuel Wangwe Executive Director REPOA 28 th July 2012.
Why Has Income Inequality in Thailand Increased? An Analysis Using Surveys.
INNOVATION AND ECONOMIC PERFORMANCE: AN ANALYSIS AT THE FIRM LEVEL IN LUXEMBOURG Vincent Dautel CEPS/INSTEAD Seminar “Firm Level innovation and the CIS.
Haripriya Gundimeda Associate Professor Department of Humanities and Social Sciences Indian Institute of Technology Bombay Human capital estimates for.
Institutional Learning and Change Initiative of the CGIAR 1 The new dynamics of poverty and the role of science in poverty alleviation Javier M. Ekboir.
FOOD SECURITY, PUBLIC ADMINISTRATION AND CITIZENSHIP: the experience of the city of Belo Horizonte, Brazil 1993/2003 Adriana Veiga Aranha July / 2003.
1 Enhancing the Effectiveness of Fiscal Policy for Domestic Resource Mobilization Patrick N. Osakwe Chief, Financing Development, UNECA.
By Md. Ehsanul Bari Managing Director Grameen Motsho O Pashusampad Foundation Action Plan for Dairy Development in Bangladesh “Regional Expert Meeting.
Copyright 2010, The World Bank Group. All Rights Reserved. Introduction to the System of National Accounts (SNA) Lesson 10 Some special estimation methods.
Pro Poor Growth Manmohan Agarwal Centre for International Governance Innovation* * This research is part of a research project supported by the ORF.
OARI-BARC ANNUAL RESEARCH ACTIVITIES REVIEW FEBRUARY, 2015 BARC Demonstration of Dairy Technologies in Peri-urban areas of Nekemte, Bako and Gimbi towns,
INCOME DISTRIBUTION JANUARY 19 TH, IN CANADA’S ECONOMIC SYSTEM HOW IS INCOME DISTRIBUTED? INCOME IS DISTRIBUTED AMONG THE DIFFERENT FACTORS OF PRODUCTION:
1 Long-Run Economic Growth and Rising Living Standards Economic Growth.
Policy Issues Facing the Food, Agriculture and Rural Sectors and Implications for Agricultural Statistics Mary Bohman and Mary Ahearn Economic Research.
Sustainable and productive farming systems The livestock sector --POINTS TO PONDER-- Jimmy Smith.
Guy Blaise NKAMLEU, AEA – November, 2009 THE IMPACT OF FARMERS’ CHARACTERISTICS ON TECHNOLOGY ADOPTION: A Meta Evaluation Guy Blaise NKAMLEU African Development.
COMPETITION ISSUES IN THE AGRICULTURAL SECTOR: THE GAMBIA.
Chapter 12SectionMain Menu What Is Gross Domestic Product? Economists monitor the macroeconomy using national income accounting, a system that collects.
Technical Efficiency in Milk Production of the Dual- Purpose Cattle System in El Salvador during Dry and Rainy Seasons Presenter: Angel A. Duron B. Co-Author:
Food Supply of Mongolia Mongolian State University of Agriculture
Rwanda A Country in Economic Transition (with emphasis on 2000 to 2006) March 16, 2008 World Bank/CSAE Workshop Shared Growth and Job Creation in Africa:
Food & Agriculture Organization (FAO). Who they are An intergovernmental organization, FAO has 194 Member Nations, two associate members and one member.
FAO Project GCP/SYR/006/ITA Workshop - Damascus, 1-2 July 2008 Agriculture and Economic Reform in Syria: Impacts on Poverty and Inequality Benedetto Rocchi.
A Stochastic Model of CPP Liabilities – Preliminary Results Rick Egelton Chief Economist CPPIB October 27, 2007 The views in this presentation reflect.
Agriculture Sector Performance in Southern Africa By Pius Chilonda Sub-Regional Coordinator, ReSAKSS-SA ReSAKSS Africa -Wide Conference on Agriculture:
Chapter 12: Gross Domestic Product and Growth Section 3
Chapter 4.  “Second Generation” growth models  The role of human capital in economic growth  Determinants of technological progress  Externalities.
Friday, November 27, 2015 RECENT PROGRESS IN THE ROLE OF AGRICULTURAL DEVELOPMENT IN REDUCING POVERTY IN AFRICA AND PERSPECTIVES ON THE WAY FORWARD ALEJANDRO.
1 Economics of Innovation GPTs II: The Helpman-Trajtenberg Model Manuel Trajtenberg 2005.
Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Background Kerekicho kebele Kerekicho kebele is one of the 28 kebeles in Angacha woreda The area has an average elevation of 2280 masl main production.
AAMP Training Materials Module 3.3: Household Impact of Staple Food Price Changes Nicholas Minot (IFPRI)
Why is productivity growth so vital? To see more of our products visit our website at Ruth Tarrant, Head of Economics and Politics, Bedales.
Bangladesh Poverty Assessment: Building on Progress Poverty Trends and Profile Dhaka, October 23 rd 2002.
Remarks on Demand-driven, Participatory Agricultural Extension Services for Cambodia William Bradley, Agriculture Officer USAID/Cambodia.
Agricultural Transformation and Youth Employment in Africa: A Nigerian Case Study By Kwabena Gyimah-Brempong Chinonso Etumnu Fourth Annual Conference on.
Biotechnology in the Animal Science Industry. a. Animal cloning – 1) For product uniformity such as drumstick uniformity in the poultry industry.
Animal protection in Europe DE3-COM
Urbanization and poverty in Africa: encouraging shared growth Cecilia Tacoli International Institute for Environment and Development, UK.
Comparison of Estimation Methods for Agricultural Productivity Yu Sheng ABARES the Superlative vs. the Quantity- based Index Approach August 2015.
Weather index insurance, climate variability and change and adoption of improved production technology among smallholder farmers in Ghana Francis Hypolite.
Agricultural Biotechnology in Turkey
Determining the costs and revenues for dairy cattle
Production & Marketing
University “Hasan Prishtina” – Faculty of Agriculture and Veterinary
Transformation from Agrarian to Industrialized Modern Society
ZHANG Juwei Institute of Population and Labor Economics
LIVESTOCK PRODUCTION AND PRODUCTIVITY
Rural-urban Migration and Poverty in Kenya: is Agriculture the Answer?
The Imperative of Agricultural Progress and Rural Development
Econ 101: Intermediate Macroeconomic Theory Larry Hu
Chapter 12: Gross Domestic Product and Growth Section 3
Chapter 12: Gross Domestic Product and Growth Section 3
Presentation transcript:

Artificial insemination, livestock productivity and economic growth in Senegal François Joseph CABRAL Mamadou DIALLO

PLAN 1.Objective 2.Background 3.Méthodology 4.Simulation and résultats

Objective The aim of this research is to assess the effects of artificial insemination on livestock productivity, overall GDP growth and households well-being.

Background The potential to increase the productivity of livestock and livestock production is very large in sub-Saharan Africa. The production of meat per animal is two times less than the average obtained in developing countries and it is five times less than the average obtained in developed countries according to the species. The production of milk from local breeds is itself up to 10 times lower than that achieved by the European breeds (Boly and Leroy, 1999). Increasing productivity in the livestock sector must bring an answer to many challenges of market supply, food security and the fight against poverty, which requires borrowing techniques to improve weight and livestock productivity. Therefore, livestock sector plays a key role in achieving the Ecowap goals which is an average growth rate of 6% in agricultural sector so as to allow countries to in which this program is applied to halve poverty.

Background In Senegal, this sector has the greatest contribution to agricultural value added and incomes. Under Ecowap predictions, a growth of this sector sustained until 2015 will generate an additional flows of income of 32.2 millions of dollars in From bovine outputs, one can except milk (62% of milk production), leather, “livestock & hunting”. A program of Artificial insemination set by policymakers since 2008 has an objective to create by 2012, a population of crossbred cows. It is expected from this artificial insemination program, a production of 400 million of liters of milk, 43,500 tons of meat and 120,000 pieces of leather. The cumulative insemination since 2008 to the end of 2012 totaled 107,000 cattle inseminated which is equal just to 1/5 of the original target of 500,000 cattle.

Background Attempts to endogeneously integrate innovation in economic analysis has been made through several approaches ​​. For Arrow (1962), knowledge on the TFP is the accidental product of experience in the production of new capital goods. He qualifies this phenomenon as a process of "learning by doing". For Frankel (1962), the accumulation of capital leads to an increase of knowledge. However, it’s really with Romer (1990) that we know that technical progress and innovation is at the heart of economic growth. The author assumes that technical progress comes from rationality of agents who meet the incentives issued by the market. The model therefore includes a rather endogenous technical progress.

Background Traditional farming is often characterized by the coexistence of two systems: - the transhumant system that is characterized by high mobility and a weak link with agriculture and - a sedentary system that can be mixed and combined with different food crops or annuity (Douhoux and Hounsou, 1993; Chentouf et al, 2004). The literature on the livestock activity remains divided on the impact of a number of variables on the productivity of animals. Among these variables, we find age at first calving and calving interval (Dehoux and Hounsou, 1993; Sow et al, 1988) and lactation (Dehoux and Hounsou, 1993), the rate of withdrawal (Dekhili and Dekhili 2003), he fertility rate (Senussi, 2004).

Background Traditionally, animal reproduction biotechnologies include four generations: an artificial insemination, the embryo transfer, in vitro fertilization and transgenesis (Thibier and Guerin, 1993). The AI ​​ is the biotechnology breeding most widely used worldwide and is one of the effective tools for disseminating genetic material (Lofti et al, 1996). In Senegal, only two genetic improvement techniques are used. It is artificial insemination (AI) and embryo transfer (Beye et al, 2013) but the one that policymakers use for national purpose is AI program.

Background Livestock sector and its related sectors (meat, milk and leather) account for about 4.7% of GDP

Background more wages from skilled labor and non skilled wages to urban households and capital. 80% is owned by cow capital by Senegal sylvo pastoral area. Basket consumption structure…

Méthodologie Based on Romer’s model, we try to endogenously introduce diffusion of innovation through artificial insemination in livestock sector technology. The artificial insemination, as it comes from government R&D efforts, can be supposed also a non rival good and is quite non exclusive. As the program of artificial insemination (AI) relies mainly on budgetary efforts, the rate of increase of insemination is supposed to be a function of expenditures devoted to R&D

Methodology CGE 2 types of labour –qualified labour 3 types of capital –private agricultural capital –private metis cow capital –private non metis cow capital –private non agricultural capital –public capital –Land 15 sectors

Simulation et résultats Ratio of RD/KD in cow metis sub-sector has been multiplied by 3.07 between 2009 and Simulation : teta_r increase by 3.07 for 4 periods.

Simulation et résultats

Conclusions et enseignements de politique Production of cow increase very significantly. It also induces an increase in its multiples products (meat, milk, leather). However, this increase seems to have a depressive effect on price as income for all households tends to decrease. It occurs also that, due to the weak size of this program, price effects seem to dominate income effects. Winners from this program are households from sylvo pastoral rural area, other cities and groundnut belt area. The aim of AI program was to cover not more than 15% of the total population of cows but only 3% of the cow population is effectively covered. Therefore, the challenge of this program is increase its size for wide effects in the sector, on GDP and well-being.

Merci!