Presentation at the
International Food Policy Research Institute
Washington DC,
September 11th, 201
Dr Shakil Jehangir Malik
MBBS, MCPS(Psych), DPM (Eire), MCPS(Can),
Dip NLP(Lon), FRCPsych(Lon)
Senior Clinical Director & Consultant Psychiatrist
Sussex Partnership NHS Foundation & Teaching Trust
Senior Lecturer King’s College, University of Londo
Presentation at the
International Food Policy Research Institute
Washington DC,
September 11th, 201
Dr Shakil Jehangir Malik
MBBS, MCPS(Psych), DPM (Eire), MCPS(Can),
Dip NLP(Lon), FRCPsych(Lon)
Senior Clinical Director & Consultant Psychiatrist
Sussex Partnership NHS Foundation & Teaching Trust
Senior Lecturer King’s College, University of Londo
Kimaru-Muchai - Communication Channels used in dissemination of soil fertilit...CIALCA
Presentation delivered at the CIALCA international conference 'Challenges and Opportunities to the agricultural intensification of the humid highland systems of sub-Saharan Africa'. Kigali, Rwanda, October 24-27 2011.
Findings from a survey in western kenya to determine the soil fertility reple...Innspub Net
A survey on adoption levels of the existing soil nitrogen replenishing technologies amongst farmers in three counties in western Kenya was carried out in June 2011. Three farmer associations were Angurai Farmers Development Project (AFDEP), Bungoma Small-Scale Farmers Forum (BUSSFFO) and Mwangaza Farmer Group (MFAGRO). During the survey 223 farmers were interviewed with roughly a half of the households surveyed being members of farmer associations (FAs) and the other half being non-members, who acted as the control. Stratified random sampling technique was used. A repeated measures Analysis of Variance (RM – ANOVA) showed that various soil nitrogen replenishment technologies were adopted to various degrees, F (4.39, 855.43) =23.36, p<.001). The findings of this study indicated that the available technologies most extensively used in the study area were the use of inorganic fertilisers (DAP), planting of improved legumes processing, Lab lab, Push Pull, and Super 2 Package. In second place, were technologies such as seed inoculation, foliar feed use, top dressing fertiliser (CAN) and use of improved legumes. The least used technologies were found to be Ua Kayongo (IR seed), MBILI intercropping, fortified compost, and use of Farm yard manure and liming. The results also indicated that generally, adoption of technologies was higher amongst farmer association members compared with non-members regardless of the county. Bungoma County had significantly highest level of technology adoption level compared to both Busia and Vihiga. Adoption of soil technologies was also found to be positively correlated with farmers’ educational level but inversely related with their age.
Agronomy and crop-livestock interaction activities in Ghana 2019/20 africa-rising
Presented by Abdul Rahman Nurudeen(IITA), Bekele Kotu(IITA), Gundula Fischer(IITA), Kipo Jimah(IITA), Francis Muthoni(IITA), Williams Attakora(CSIR-SARI), Addah Wesseh(UDS) at Africa RISING Ghana Country Planning Meeting, Tamale, Ghana, and Virtual, 24 - 25 June 2020.
3rd Africa Rice Congress
Theme 4: Rice policy for food security through smallholder and agribusiness development
Mini symposium 4: Evidence of impact and adoption of rice technologies
Author: Agboola
Training on Participatory Integrated Climate Services for Agriculture (PICSA) and Local Technical Agroclimatic Comittees (MTA / LTAC) to the DeRISK project team.
February 11 -19 2020, CIAT Hanoi, Vietnam
This is a Key NOTE Presentation to COP21- EAC Side Event: 4th December 2015.The presentation looks at the changing climate in East Africa and the climate-smart tools available.
In the coming decades, world agriculture will need to under-go a major transformation to meet the future demands of a growing population. By 2050, the food industry will have to face the daunting challenge of feeding about 10 billion people by almost doubling its food supply in a sustainable way. Precision agriculture (PA) technology has proven effective in optimizing yield with minimum inputs and in reducing environmental pollution. The adoption of modern agricultural technologies remains to be a promising strategy to improve agricultural productivity, achieve food security and reduce poverty in Ethiopia. Despite the efforts to promote adoption in the country, the adoption rate has always been very low. So, it is essential to understand the determinants to the adoption of modern agricultural technologies. Thus, the main objective of this study is to determinants of adoption of PAT and to build a conceptual framework that consolidates the determinants of adoption of PAT by farmers. The level of adoption is variable in different countries as well as in different regions in a particular country. PA can be implemented in large and cluster farms as well as lowlands of Ethiopia particularly in irrigated fields. It can help to precisely level land, correct seeding, and application of the right amount of fertilizer, irrigation water, and pesticide based on the plant need. Despite its superior advantage, the high cost of machineries, software and skilled labor could scare the adoption of PA in Ethiopia. The adoption drivers of major influence are related to socio-economic, agro-ecological, institutional, technological and behavioural factors, in addition to the sources of information and perception of the farmer. At the individual level, factors promoting PA adoption included the technology’s relative advantages, observability, trialability, farmer experience in using technology, innovativeness, risk tolerance, education, and knowledge, whereas farmer age and technology complexity hindered PA adoption. Factors promoting PA adoption at the farm level included farm size, resource availability, and perceived need for technology characteristics, technology compatibility, social influence, competitive pressure, and government support. The study is based on an Ethiopian socio-economic survey of 2020/21 and a sample of 356 farm households is considered. The paper uses a multinomial Logit/Tobit model to assess the factors affecting the adoption decision of agricultural technology. The result shows that farmers with more educational level, family size, off-farm participation, extension service, credit access, advisory service, and farmers closer to plot, all-weather road, zonal town, and farmers with lower remittance income are more likely to adopt new or improved agricultural technology. Accordingly, the study provides crucial policy implications regarding the technology adoption in the agricultural sector for all regions of Ethiopia.
Presentation made by Hina Nazli, Amina Mehmood, and Asma Shahzad on October 2, 2014 in Islamabad, Pakistan at the policy seminar "Food Consumption Pattern and Nutritional Status in Pakistan."
Kimaru-Muchai - Communication Channels used in dissemination of soil fertilit...CIALCA
Presentation delivered at the CIALCA international conference 'Challenges and Opportunities to the agricultural intensification of the humid highland systems of sub-Saharan Africa'. Kigali, Rwanda, October 24-27 2011.
Findings from a survey in western kenya to determine the soil fertility reple...Innspub Net
A survey on adoption levels of the existing soil nitrogen replenishing technologies amongst farmers in three counties in western Kenya was carried out in June 2011. Three farmer associations were Angurai Farmers Development Project (AFDEP), Bungoma Small-Scale Farmers Forum (BUSSFFO) and Mwangaza Farmer Group (MFAGRO). During the survey 223 farmers were interviewed with roughly a half of the households surveyed being members of farmer associations (FAs) and the other half being non-members, who acted as the control. Stratified random sampling technique was used. A repeated measures Analysis of Variance (RM – ANOVA) showed that various soil nitrogen replenishment technologies were adopted to various degrees, F (4.39, 855.43) =23.36, p<.001). The findings of this study indicated that the available technologies most extensively used in the study area were the use of inorganic fertilisers (DAP), planting of improved legumes processing, Lab lab, Push Pull, and Super 2 Package. In second place, were technologies such as seed inoculation, foliar feed use, top dressing fertiliser (CAN) and use of improved legumes. The least used technologies were found to be Ua Kayongo (IR seed), MBILI intercropping, fortified compost, and use of Farm yard manure and liming. The results also indicated that generally, adoption of technologies was higher amongst farmer association members compared with non-members regardless of the county. Bungoma County had significantly highest level of technology adoption level compared to both Busia and Vihiga. Adoption of soil technologies was also found to be positively correlated with farmers’ educational level but inversely related with their age.
Agronomy and crop-livestock interaction activities in Ghana 2019/20 africa-rising
Presented by Abdul Rahman Nurudeen(IITA), Bekele Kotu(IITA), Gundula Fischer(IITA), Kipo Jimah(IITA), Francis Muthoni(IITA), Williams Attakora(CSIR-SARI), Addah Wesseh(UDS) at Africa RISING Ghana Country Planning Meeting, Tamale, Ghana, and Virtual, 24 - 25 June 2020.
3rd Africa Rice Congress
Theme 4: Rice policy for food security through smallholder and agribusiness development
Mini symposium 4: Evidence of impact and adoption of rice technologies
Author: Agboola
Training on Participatory Integrated Climate Services for Agriculture (PICSA) and Local Technical Agroclimatic Comittees (MTA / LTAC) to the DeRISK project team.
February 11 -19 2020, CIAT Hanoi, Vietnam
This is a Key NOTE Presentation to COP21- EAC Side Event: 4th December 2015.The presentation looks at the changing climate in East Africa and the climate-smart tools available.
In the coming decades, world agriculture will need to under-go a major transformation to meet the future demands of a growing population. By 2050, the food industry will have to face the daunting challenge of feeding about 10 billion people by almost doubling its food supply in a sustainable way. Precision agriculture (PA) technology has proven effective in optimizing yield with minimum inputs and in reducing environmental pollution. The adoption of modern agricultural technologies remains to be a promising strategy to improve agricultural productivity, achieve food security and reduce poverty in Ethiopia. Despite the efforts to promote adoption in the country, the adoption rate has always been very low. So, it is essential to understand the determinants to the adoption of modern agricultural technologies. Thus, the main objective of this study is to determinants of adoption of PAT and to build a conceptual framework that consolidates the determinants of adoption of PAT by farmers. The level of adoption is variable in different countries as well as in different regions in a particular country. PA can be implemented in large and cluster farms as well as lowlands of Ethiopia particularly in irrigated fields. It can help to precisely level land, correct seeding, and application of the right amount of fertilizer, irrigation water, and pesticide based on the plant need. Despite its superior advantage, the high cost of machineries, software and skilled labor could scare the adoption of PA in Ethiopia. The adoption drivers of major influence are related to socio-economic, agro-ecological, institutional, technological and behavioural factors, in addition to the sources of information and perception of the farmer. At the individual level, factors promoting PA adoption included the technology’s relative advantages, observability, trialability, farmer experience in using technology, innovativeness, risk tolerance, education, and knowledge, whereas farmer age and technology complexity hindered PA adoption. Factors promoting PA adoption at the farm level included farm size, resource availability, and perceived need for technology characteristics, technology compatibility, social influence, competitive pressure, and government support. The study is based on an Ethiopian socio-economic survey of 2020/21 and a sample of 356 farm households is considered. The paper uses a multinomial Logit/Tobit model to assess the factors affecting the adoption decision of agricultural technology. The result shows that farmers with more educational level, family size, off-farm participation, extension service, credit access, advisory service, and farmers closer to plot, all-weather road, zonal town, and farmers with lower remittance income are more likely to adopt new or improved agricultural technology. Accordingly, the study provides crucial policy implications regarding the technology adoption in the agricultural sector for all regions of Ethiopia.
Presentation made by Hina Nazli, Amina Mehmood, and Asma Shahzad on October 2, 2014 in Islamabad, Pakistan at the policy seminar "Food Consumption Pattern and Nutritional Status in Pakistan."
Political Economic Consequences of Pakistan's Linguistically Fractured Educat...
What Determines Farmers’ Response towards Adopting New Technology in KP? by Dr. Shahnaz Akhtar, KP Agricultural University, Peshawar
1. What Determines Farmers’ Response
Towards Adopting New Technology in
Khyber Pakhtun-khaw?
Principal Investigator
Dr. Shahnaz Akhtar
Professor, Institute of Development Studies
KPK Agricultural University, Peshawar
Email: drshahnazakhtar@aup.edu.pk
Contact: 0333-9108864
Co-Investigator
Sohail Khan
sohailpfi@yahoo.com
2. Acknowledgements
We are extremely grateful to USAID, IFPRI, PSSP and all
Partner organizations for the financial support, time,
effort and observation about the need to encourage
research environment in our country; especially
among the academia.
We are also thankful to 300 farmers who have willingly
shared the sacred information of their cropping
practices, cost of production and perceptions.
I am personally thankful to Dr. Noor Khan, Dr. Malik M.
Shafi, Mohammad Sohail (RA), M. Arif and Jawad (my
supervisees) for their contributions in this research.
3. Why New Technology…..
“…… it is envisaged that the next breakthrough in
agricultural productivity would be due to recent
developments in plant molecular biology, genetic
engineering, and rapid advancement in genomics.’
However the question remains if the farm would
show response to all such efforts that the dream of
the advancements in agriculture would
materialize.”
Iqbal and Muneer (2005)
4. Our task is to learn……
On the outbreak of a new technology;
Few Farmers respond positively;
What factors motivate them?
While Few other don’t respond;
What Factor stop them?
5. Earlier Studies have Identified the Determinants as;
S.N. The Determinants The References
Socio-economic conditions, Nelson 1993;
1 Renovated institutions and individual capacities Rosenberg 1994
Ajzen and Fishbein, 1990;
Leathers and Smale, 1992;
Risk factor,
Feder and Umali, 1993; Davis ,1996;
2 Nortan and Bass, 1997
Byerlee and Polanco, 1999;
3 Profitability
Guerra et al., 2007
Transport & Communication network,
4 Khan (1998)
extension services
Awareness about the existence and availability of new Smale and Heisa, 1999;
5 technology Marra et al., 2001
(Ruttan, 1996; Monu, 2000
Age, experience capital formation, & Farmers’ HRD
6 Malik (2005)
7 Characteristics of the innovation itself Pannell et al. 2006
8 Mass media and interpersonal communication Jan and Imran, 2009
9 Timely availability and credit facilities Ahmad (2007)
10 Ease in following (How to do of) technology Khan (2011)
11 Farm Size and Tenancy Status Khan (2011)
6. Our Research Explores even Further…..…..
S.N. The Determinants Remarks
1 Land Fragmentation
Distance Between Farm and main
2
linking road Currently under investigation by my Ph.D. &
Distance Between Farm and input- M. Phil students
3
output market
4 Farm Size and tenancy System
5 RIWAAJ=Standard Practice An experiment started by one is copied by all
Climate Change……
6 Farms are in process of changing enterprises
Innovators Beware of!!
KHAN JEE AVATAR ‘Khan Jee’ when earns extra money, eagerly
7 - measured by farmers’ investment spends to maintain his social status
choices forgetting to maintain the capital formation.
7. Data collection scheme
and the progress made!
Three Districts:
Peshawar, Charsadda, Mardan
Three Crops:
Wheat, Maize, Sugarcane
300 farmers almost equally divided among the districts and
crops
8. Data collection scheme
and the progress made
Data is being collected in Two Phases:
Phase I: Baseline Data
“What Questions”, e.g. farm size and no of fragments; tenancy status;
cost of production, yields and returns from the three crops; other
income sources, new technologies adopted lately; and preference for
investment etc.
data collection in Phase I is complete
9. Data collection scheme
and the progress made
Phase II: Focus Group Activity Inquiring the
“Why Questions”,
e.g. Perception, recent examples, reasons for adopting new
technology,
sources of information and extension,
expectations, experience in terms of changing
patterns trends
One Focus Group each in the three districts has
been conducted!!
10. Area Percent of the Yields Gap
Crop (000) Hec total Tons/hec In (%)
Wheat 658 1.6
Some
Basic Maize 386 1.8
Facts: Sugarcane 99 90 + of 1268 45.2 30 +
2008-2009 Rice 43 2.0
Gram
31 0.4
Agriculture
Tobacco 36 2.8
in
Barley 15 1.0
Khyber
Pakhtukhwa Under Main
Crops 1268
Current 509015 30 +
Fallow
Bureau of Statistics Khyber Pakhtunkhwa. KHYBER PAKHTUNKHWA IN FIGURES
at http://www.khyberpakhtunkhwa.gov.pk/Departments/BOS/KP-in-Fingures.php
13. Selected Literature
Nelson 1993; Rosenberg 1994
“Investments in S&T are known to pay off most strongly
for countries and regions with highly integrated
technical and economic systems able to diffuse and
apply results of new research.
Challenging socio-economic conditions in the
developing communities adversely affect any efforts of
adopting and diffusing new technologies.
In this situation the question is how any breakthrough is
possible?”
Earlier experiences advocate combinations of
technological improvement with
renovated institutions and
individual capacities of the technology recipients.
14. Selected Literature
• Ahmad (2007) examined adoption and constraints
in the use of HYVs by farmers in district Peshawar
and Charsadda during 2004. They assumed that
regardless of favoring climatic conditions the
farmers were not getting satisfactory profit from
their activity due to non-adoption of new
agricultural technologies. The constraints in
adoption of new varieties according to them were
mainly lack of awareness and of the know-how,
inadequate and untimely availability of seed, and
lack of credit facilities. They suggested a dynamic
role to be played by the extension services in order
to achieve the desired goal.
15. Selected Literature
• Khan, 2013
• KP’s share in countrywide maize production has
been on the decline. It accounted for 68 percent of
total maize produce in 1996 which decreased to 30
percent in 2006-2007 and was recorded below 20
percent in 2010-2011. While the maize yield has
been more than 5400 kg per hectare in Punjab it
was less than one third in KP during 2010-2011.
16. References
Arifullah, S. A. (2010). Pakistan’s Crop Sector: An Economic Evaluation. LAP Lambert Academic Publishing AG & Co. ISBN: 978-3-8383-4021-
0. Available at: http://www.amazon.com/ref=gno_logo.
Batz, F. J., K. Peters, and W. Janssen. 1999. The Influence of Technology Characteristics on the Rate and Speed of Adoption. American Journal
of Agricultural Economics, 21(2): 121-130
Iqbal, M. and M. Ahmad. 2005. Science and technology based agriculture vision ofPakistan and prospects of growth. Proc. PSDE 20th AGM.
10-12 January 2005,
Islamabad.
Khan, M. M. J., Janhua Z., M. S. Hashmi., M. S. Hashmi. (2011). Land Distribution, Technological Changes and Productivity in Pakistan’s
Agriculture: Some Explanations and Policy Options. International Journal of Economics and Management Sciences Vol. 1, No. 1, 2011, pp. 51-
74.
Nelson, R., ed.. 1993. National innovation systems: A comparative analysis. Oxford: Oxford University Press.
Rosenberg, N. 1994. Exploring the black box: Technology, economics, and history.
Cambridge: Cambridge University Press.
Statistical Book 2011 of the United Nations Food and Agriculture Organization (FAO)
UNSIAP (United Nations Statistical Institute for Asia and the Pacific). INTRODUCTION TO METHODS FOR RESEARCH IN OFFICIAL
STATISTICS. Manual for the Research-based Training Program (RbTP) Regional Course.
http://www.unsiap.or.jp/document/intro_methods_rtp.pdf
Govt. of Pakistan. (2010). Economic survey: Economic Advisor’s Wing, Finance Division, govt. of Pakistan Islamabad.
Khan, N. M. (1998). The Causes of Slow Diffusion of New Agriculture Technologies in Kurram Agency in KP.(An Unpublished MSc (Hons)
Thesis). NWFP Agricultural University Peshawar. 110 - 113.
Ahmad Mansoor, M. Akram,; R. Rauf and I. Ali Khan, (2007). Adoption of and Constraints In Use Of High Yielding Varieties: A Case Study Of
Four Villages Of District Peshawar And Charsad. Sarhad J. Agric. 23 (3)., 2007
Bureau of Statistics Khyber Pakhtunkhwa. KHYBER PAKHTUNKHWA IN FIGURES 2011. Available at
http://www.khyberpakhtunkhwa.gov.pk/Departments/BOS/KP-in-Fingures.php
http://tahirkatlang.wordpress.com/tag/kp-farmers/
Jan Mirza, Muhammad Imran (2009). MESSAGE CONSUMPTION AND ADOPTION OF AGRICULTURAL INNOVATIONS IN NWFP,
PAKISTAN. Global Media Journal. No. II (II), (Fall 2009)
at http://www.aiou.edu.pk/gmj/MESSAGE%20CONSUMPTIONEND.asp