THE EFFECTS OF CLIMATE CHANGE ADAPTATION STRATEGIES ON FOOD CROP PRODUCTION EFFICIENCY
By
Author
Presented To
Department of Agriculture
THE EFFECTS OF CLIMATE CHANGE ADAPTATION STRATEGIES ON FOOD CROP PRODUCTION EFFICIENCY
ABSTRACT
This study examined the effects of climate change adaptation strategies on food crop
production efficiency in Southwestern Nigeria. The study used multistage sampling technique
and primary data were collected from 360 food crop farmers (i.e. 180 respondents were
randomly selected from each selected state from the savanna and the rainforest agroecological
zones that dominates the region). The analytical techniques involved descriptive
and inferential statistics. Results of the multinomial logit analysis showed that household size
negatively influenced the use of multiple crop varieties, land fragmentation (i.e. multiple farm
plots), multiple planting dates and crop diversification. Age of household head had an
inverse relationship with the choice and use of multiple crop varieties, land fragmentation
(multiple farm plots), multiple planting dates and off-farm employment. Education had a
negative effect on the choice and use of multiple crop varieties and multiple planting dates.
Sex had positive influence on the choice and use of multiple crop varieties, multiple planting
dates and off-farm employment but average distance had a positive relationship with the
choice and use of land fragmentation.
Tenure security positively influenced the choice and
use of crop diversification but access to credit negatively correlated with multiple crop
varieties, multiple planting dates and crop diversification. The stochastic frontier analysis
showed that labour, farm size and other agrochemicals are highly significant at 1% level of
probability in food crop production. The computed mean technical efficiency estimate was
0.84. The technical inefficiency model showed that land fragmentation (i.e. multiple farm
plots) and multiple planting dates had significant positive relationship with technical
inefficiency but years of climate change awareness and social capital had significant inverse
relationship with it. The stochastic frontier profit function showed that rent on farm land and
price of labour were highly significant at 1% level of probability. The computed average
profit efficiency of the respondents was 0.67. The profit inefficiency model revealed that offfarm
employment, multiple planting dates, crop diversification and education level had
significant positive relationship with profit inefficiency but land fragmentation (i.e. multiple
farm plots), years of climate change awareness and social capital had negative relationship
with it. The factor analysis revealed that the major constraints to climate change adaptation
among the food crop farmers were public, institutional and labour constraints; land,
neighbourhood norms and religious beliefs constraints; high cost of inputs, technological and
information constraints; farm distance, access to climate information, off-farm-job and credit
constraints; and poor agricultural programmes and service delivery constraints. The study,
therefore, recommends, inter alia, proactive regulatory land use systems that will make food
crop farmers to participate in a more secured land ownership system should be put in place
to enhance their investment in climate change adaptation strategies that has a long-term
effect. Morealso, Government and non-governmental organizations should help the farmers
in the area of provision and/ or facilitate the provision of input-based adaptation strategies in
the study area. Again, intensive use of already proven adaptation strategies at farm-level by
the farmers at their present resource technology will still make them to reduce technical and
profit inefficiencies by 16% and 33% respectively, in the study area.
use of crop diversification but access to credit negatively correlated with multiple crop
varieties, multiple planting dates and crop diversification. The stochastic frontier analysis
showed that labour, farm size and other agrochemicals are highly significant at 1% level of
probability in food crop production. The computed mean technical efficiency estimate was
0.84. The technical inefficiency model showed that land fragmentation (i.e. multiple farm
plots) and multiple planting dates had significant positive relationship with technical
inefficiency but years of climate change awareness and social capital had significant inverse
relationship with it. The stochastic frontier profit function showed that rent on farm land and
price of labour were highly significant at 1% level of probability. The computed average
profit efficiency of the respondents was 0.67. The profit inefficiency model revealed that offfarm
employment, multiple planting dates, crop diversification and education level had
significant positive relationship with profit inefficiency but land fragmentation (i.e. multiple
farm plots), years of climate change awareness and social capital had negative relationship
with it. The factor analysis revealed that the major constraints to climate change adaptation
among the food crop farmers were public, institutional and labour constraints; land,
neighbourhood norms and religious beliefs constraints; high cost of inputs, technological and
information constraints; farm distance, access to climate information, off-farm-job and credit
constraints; and poor agricultural programmes and service delivery constraints. The study,
therefore, recommends, inter alia, proactive regulatory land use systems that will make food
crop farmers to participate in a more secured land ownership system should be put in place
to enhance their investment in climate change adaptation strategies that has a long-term
effect. Morealso, Government and non-governmental organizations should help the farmers
in the area of provision and/ or facilitate the provision of input-based adaptation strategies in
the study area. Again, intensive use of already proven adaptation strategies at farm-level by
the farmers at their present resource technology will still make them to reduce technical and
profit inefficiencies by 16% and 33% respectively, in the study area.
- FOR ENQUIRY
- [email protected]
- 09019904113
About E-Project Material Centre
E-Project Material Centre is a web service aimed at successfully assisting final year students with quality, well researched, reliable and ready made project work. Our materials are recent, complete (chapter 1 to Minimum of Chapter 5, with references) and well written.INSTANT ACCESS! INSTANT DOWNLOAD. Simply select your department, choose from our list of topics available and explore your data
Why Students Love to Use E-Project Material ?
Guaranteed Delivery Getting your project delivered on time is essential. You cannot afford to turn in your project past the deadline. That is why you must get your project online from a company that guarantees to meet your deadline. e-Project Topics Material Centre is happy to offer instant delivery of projects listed on our website. We can handle just about any deadline you send our way. Satisfaction Guaranteed We always do whatever is necessary to ensure every customer's satisfaction
Disclaimer
E-Project Topics Material Centre will only provide projects as a reference for your research. The projects ordered and produced should be used as a guide or framework for your own project. The contents of the projects should be able to help you in generating new ideas and thoughts for your own project. It is the aim of e-Project Topics Centre to only provide guidance by which the projects should be pursued. We are neither encouraging any form of plagiarism nor are we advocating the use of the projects produced herein for cheating.
Terms and Condition
Using our service is LEGAL and IS NOT prohibited by any university/college policies You are allowed to use the original model papers you will receive in the following ways:
- As a source for additional understanding of the subject
- As a source for ideas for you own research (if properly referenced)
- For PROPER paraphrasing ( see your university definition of plagiarism and acceptable paraphrase) Direct citing ( if referenced properly)
