Socioeconomic Factors Influencing Adoption of Improved
Maize Varieties in Nepal
S. Paudel*
Department of Agricultural
Economics
Institute of Agriculture and
Animal Science, Tribhuvan University
Kirtipur, Kathmandu
*samitapaudel2050@gmail.com
ABSTRACT:
This
article provides a review of different papers on adoption of improved maize
varieties in Nepal specifically on the factors that have the most significant
influence in adoption. The information was collected from the secondary data
available and analyzed. Several studies have pointed out a
number of socio-economic factors influencing the farmers’ adoption of improved
maize varieties. Among these factors, extension contact, education of household
head, farm size and off farm income are found to be major factors having strong
influences. Our study recommends the future studies on adoption of improved varieties
including perception of farmers.
Key words: Adoption,
Factors, Improved variety, Maize,
INTRODUCTION:
Maize
is the second most important crop after rice in terms of area (891,583 ha) and
production (2231517 t) in Nepal (MOAD, 2017). It is a main food crop of hill
farmers and main source of animal feed for feed industries in Terai region of
Nepal (KC et al., 2015). The annual demand of maize in the country is about
2.43 million mt. while its annual domestic supply is 2.15 million mt. (MOAD,
2015). During the year 2015 the average yield of maize was 2.4 t/ha, while
attainable yield for maize with available recommended varieties is about 5.7
t/ha (KC et al., 2015), this shows a huge yield gap. This high yield gap is due
to the unavailability of basic inputs like quality seed, fertilizer, irrigation
and technology augmented with the traditional production practices and poor
infrastructures. Nepal Agriculture Research Council has developed 30 varieties
of maize (NARC, 2016) and in addition, 34 imported hybrids of maize were
registered in Nepal (NMRP, 2013).The seed replacement rate for maize is 14.48%
which far below than recommended rate of 33 % for cross pollinated crops (SQCC,
2016).Improving the production of maize can be one of the important strategy
for maintaining food security and decreasing import situation in Nepal. It
would be a wise decision by farmers to adopt improved variety of maize, as
improved variety responds better to the inputs used and yields higher compared
to local. The adoption of high yielding crop varieties has been solution to the
lower production and lower income to the farmers in developing countries over
the years (Besley and Case, 1993).Kassie et al. (2012) reported that
agricultural technologies like improved seeds and inorganic fertilizers can
directly contribute in alleviation of food insecurity by improving crops
productivity for self-consumption and also for household income. However,
farmer’s decision on adoption of improved varieties is influenced by several factors
(Iqbal et al., 1999, Rogers, 2003). The main constraints hindering the maize
industry in Nepal are limited numbers of input suppliers, lack of proper
knowledge about improved varieties and technology, timely unavailability of
demanded inputs and inadequate education (Khatri-Chhetri, 2015).This research
is designed to determine the socioeconomic factors influencing the farmers’
decision to adopt improved maize varieties in Nepal. We expect this study will
help to identify the determinants of adoption of improved maize varieties by
farmers in developing countries. The study also aims to help policymakers to
introduce policies accordingly that would help to enhance adoption rates of
improve maize varieties and increase production and productivity.
OBJECTIVES:
Broad Objective:
Ć The
main objective of this study is to perform a systematic literature review about
the socioeconomic factors influencing adoption of improved maize varieties in
Nepal
Specific
Objective
Ć To
establish the extent to which age, gender and educational status of farmers
influences adoption of improved maize varieties
Ć To
determine the role of group membership influencing adoption of improved maize
varieties.
Ć To
determine how economic status of farmers influence adoption of improved maize
varieties
RESEARCH QUESTIONS:
This
study sought to answer the following questions:
1.
To what extent does age, gender and
educational status of farmers influence adoption of improved maize varieties?
2.
To what extent does the farmers’
involvement in cooperatives or group membership influence adoption of improved
maize varieties?
3.
How
does economic status of farmers’ influence adoption of improved maize
varieties?
REVIEW:
Adoption
of innovations refers to the decision to apply an innovation and to continue to
use it (Roger and shoemaker, 1971). The
adoption of new technologies, such as fertilizer, improved seed, etc. is
central to agricultural growth and increasing productivity. Although adoption
of new technology is an effective way to increase agriculture production and
productivity it is relatively complicate process. In the agricultural sector,
widening of adoption of new technology by all farmers is rare due to the
various deterrents to adoption imposed by various economic, social, physical,
and technical factors .There
are several socioeconomic factors influencing the rate of adoption, continuation
or discontinuation of new technologies in agriculture sector. Ghimire
and Huang (2015) found the positive influence between household wealth index
and adoption and intensity of adoption of improved maize varieties. The factors
most strongly related to adoption were farmers’ ages, with older farmers being less
likely to adopt, possibly because of risk aversion. Education and extension
services positively influenced adoption among poorly endowed households,
implying that increased awareness and information reduced risk aversion and
motivated farmers to adopt new technology. Similarly, Ransom et al. (2003)
found significant and positive relation between adoptions of improved maize
varieties with khet land area, ethnic group, years of fertilizer use, off-farm
income, and contact with extension. Extension services seem to have the biggest
impact on technology adoption as farmers who have
contacts with extension workers are more likely to hear about improved
varieties and thus adopt new agricultural technologies. Mishra et al. (2017)
reported household head, age of the household head, full time farm worker
Training Received or not, Farm Size, head Contact with extension agents, participation
in collective action, Source seed availability, Contact with processor were positively influencing adoption whereas, Distance
to market/road and off farm income were influencing negatively on adoption of
improved maize varieties. Similarly, Paudel and Matsuoka
(2008) found significant influences between winter maize cultivation, education
of the household head, lowland area, upland area as well as access to credit
and extension services with adoption of IMVs. Subedi et al. (2017) conducted a
survey on Socio-economic assessment on maize production and adoption of open
pollinated improved varieties in Dang, Nepal and reported that the adoption of
improved maize variety is determined by several factors like ethnicity, gender
of the household head, area under improved maize, number of visits by farmer to
agro vets and seed source. Among the variables ethnicity, area under IMVs and
extension service were found highly positively influencing compared to others.
METHODOLOGY:
The
study is based on the secondary information collected by reviewing different
published journal articles and proceedings. The papers were mainly based on
factors affecting adoption and continuation of improved maize varieties by
farmers of Nepal and developing countries. Several parameters were found
influencing the farmers’ adoption behaviour of improved maize varieties. The
research of social scientists have accumulated the various demographic and
socioeconomic factors behind the adoption behaviour of farmers like age,
gender, education, distance from market, availability of credit, information
sources, extension services, knowledge, awareness, attitude, and involvement in
cooperatives or group.
DISCUSSION:
In
this review we found eleven major socioeconomic
factors influencing significantly on the farmers’ adoption of improved maize
varieties. The list includes age, gender, and education, farm size, off farm
income, extension contact, and access to credit, group membership and marketing
distance.
Table 1. Factor estimates
of adoption of improved maize varieties.
S.N.
|
Variables
|
Studied
|
Positive
|
Negative
|
1
|
Age
|
2
|
|
*
|
2
|
Gender (Female)
|
3
|
*
|
*
|
3
|
Education (House hold
head)
|
4
|
*
|
|
4
|
Farm size (land size)
|
4
|
*
|
|
5
|
Off farm income
|
4
|
*
|
|
6
|
Extension contact
|
5
|
*
|
|
7
|
Access to credit
|
2
|
*
|
|
8
|
Group membership (Cooperatives)
|
2
|
*
|
|
9
|
Marketing distance
|
1
|
|
*
|
10
|
Ethnicity (Brahmin/Chettri)
|
2
|
*
|
|
11
|
Household wealth
|
1
|
*
|
|
The
age of household head happens to be one of the human characteristics that have
been frequently associated with non-adoption of IMV in many adoption studies (Ghimire and Huang, 2015), (Paudel and Matsuoka, 2008).
The older farmers are reluctant to adoption of IMVs than younger which is due
to the fact that the younger people have greater exposure to new technologies
and ideas and have more risk bearing capacity.
The
gender of household head being female was found to be positively influencing
the adoption of improved maize varieties in several studies (Subedi et al.,
2017), (Ghimire and Huang, 2015) while
this result contrasts with Kafle and Shah (2012) reported that the male headed
household positive influences on the adoption of hybrid maize varieties than
others. The reason behind the female household head adopting IMVs is also the
government encouragement of women participation and gender inclusion in various
programmes (Ghimire and Huang, 2015).
Education
was found positive and significant in a large number of adoption studies. (Ghimire and Huang, 2015) reported that the one
additional increase in year of education of household head was found increasing
the probability of adopting IMVs by 2 %, the reason behind this is that educated
farmers have better information and risk bearing capacity than less educated
ones. This result is supported by previous literature (Paudel and Matsuoka,
2008) suggesting that adoption depends on the decision makers’ educational
level and access to information because education is thought to create a
favorable mental attitude for the acceptance of new practices. However (Mishra
et al., 2017) found no significant influence of education of house hold head in
adoption of improved maize variety.
Farm size had a positive and significant
influence on the probability of adopting IMVs in several studies. Ransom et al.
(2003) reported that every 1 ha increase in Khet land area would increase the
adoption of improved maize varieties by 13.5%.It was supported by (Ghimire and Huang, 2015) and (Subedi et al.,
2017). However Mishra et al. (2017) reported that the larger land holding size
has negative contribution in adoption of maize seed production as they have
other options to grow more profitable cash crops, and they are generally food
secure and look for off farm employment. The availability of extension services
plays important role in increasing likelihood of adopting IMVs (Ghimire and Huang, 2015).This result is supported
by Paudel and Matsuoka (2008) and Ransom et al. (2003) that farmers having
contacts with extension workers are more likely to hear about improved
varieties and thus have more incentive to adopt new agricultural technologies Ghimire and Huang (2015) found that the greater
the participation of farmers in groups/cooperatives, the more likely they were
to adopt IMVs. Similar findings were found by Sharma and Kumar (2000), this
result shows that farmers’
exposure
to various information sources is associated with the advantage of new
innovations and ability to take risk.
Ghimire and Huang (2015) reported that the distance
from market appeared to have a negative influence on the adoption of IMVs among
poorly endowed households. Similar result was reported by Mishra et al. (2017)
that higher the distance from nearest market center there is difficulty in
input and output transportation, and higher transportation cost limits the
adoption of improved variety maize seed production. However (Ransom et
al.,2003) found out that in remote villages adoption of fertilizer is higher
than the adoption improved seed though seed is relatively cheaper the poor
adoption of IMV seed cannot be blamed for longer distance from market (Ransom et al,.2003).
The
large changes in off-farm income has a positive influence on adoption of
improved open pollinated maize varieties. With the increase in every 1000 Rs.
increase in off-farm income would increase the adoption of improved open
pollinated maize varieties by 0.2% (Ransom et al., 2003).It is a fact that
farmers with large off-farm income have increased cash in the family and they
will be able to purchase required inputs. Similar findings were reported by (Ghimire and Huang, 2015).However, (Mishra et
al., 2017) found households with higher income from nonfarm business and off
farm employment are less likely to adopt improved variety maize seed
production. As agriculture is a labour intensive and less profitable business
compared to others, people with higher off farm income g are not interested in
adoption of improved maize varieties. Ransom et al. (2003) reported that credit
facility is one of the important factor influencing the adoption of improved
maize varieties by the farmers. This was supported by Paudel and Matsuoka (2008).The
house hold wealth is another important factor influencing the adoption of
improved maize varieties. Wealthier the households more willing to adopt
improved maize varieties as they have better ability to cope with production
and price risks (Ghimire and Huang, 2015).
The role of ethnicity also seems influencing on adoption of improved maize
varieties. Brahmin/Chettri ethnic group was found to be positively related to
the adoption of improved maize varieties as compared to other ethnic groups
(Subedi et al., 2017).
CONCLUSION:
The
main purpose of this review was to examine socio-economic factors influencing
adoption of improved maize varieties in Nepal. The socioeconomic characters
that were included were age, gender, education, farm size, offfarm income,
extension contact, access to credit, group membership and distance from market.
The adoption study needs location and technology specific study since the same
factor may be influencing the adoption of maize varieties in different way in
different places. However, from the result we can conclude that the extension
contact, education of household head, farm size and off farm income are the
major factors determining the adoption of improved maize varieties. The farmers’
perception of higher yield and profitability in IMV should be highlighted
through extension agents and information sources to enhance the adoption rate
of IMV. Researchers are also suggested to study the influences of communication
channels and farmers’ perception on adoption of agricultural innovation which
are equally important to the socio-economic variables.
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