scholarly journals Sustainable development: biofuels in agriculture

2017 ◽  
Vol 8 (2) ◽  
pp. 83-91 ◽  
Author(s):  
Priviledge Cheteni
Keyword(s):  
Smallholder Farmers ◽  
Probit Model ◽  
Eastern Cape Province ◽  
Eastern Cape ◽  
Negative Effects ◽  
Biofuel Crops ◽  
Land Grabs ◽  
Binary Probit Model ◽  
Binary Probit ◽  
Structured Questionnaire

Biofuels are socially and politically accepted as a form of sustainable energy in numerous countries. However, cases of environmental degradation and land grabs have highlighted the negative effects to their adoption. Smallholder farmers are vital in the development of a biofuel industry. The study sought to assess the implications in the adoption of biofuel crops by smallholder farmers. A semi-structured questionnaire was administered to 129 smallholder farmers who were sampled from the Eastern Cape Province in South Africa. A binary probit model was used to investigate the determinants of smallholder farmers adopting biofuel crops. The empirical results showed that the variables, such as membership in association, occupation and incentives were statistically significant in influencing farmers’ decision to adopt biofuel crops. Furthermore, it was discovered that the studied areas have a potential to grow biofuel crops.

scholarly journals Determinants of Participation Decision in Cassava Marketing by Smallholder Farmers in Taita-Taveta and Kilifi Counties, Kenya

2019 ◽  
Vol 11 (17) ◽  
pp. 98
Author(s):  
Amos Nyangira Tirra ◽  
Willis Oluoch-Kosura ◽  
Hillary Nyanganga ◽  
Agnes W. Mwang’ombe
Keyword(s):  
Significant Influence ◽  
Value Chain ◽  
Smallholder Farmers ◽  
Probit Model ◽  
Farm Size ◽  
Market Participation ◽  
Participation Decision ◽  
Drought Tolerant ◽  
Binary Probit Model ◽  
Binary Probit

Cassava is an important food crop with high production potential in different agroecological zones across the world. Cassava is also a drought tolerant crop performing well in arid and semi-arid areas. Cassava has a great potential as both a food security and industrial crop. In addition, as a drought tolerant crop, it is fits very well as a climate smart crop in the face of climate change. However, the cassava industry and value chain in Kenya is still underdeveloped and therefore there are many cassava marketing opportunities that are yet to be exploited. This study analyses factors that influence smallholder farmers’ decision to participate in cassava marketing in Taita-Taveta and Kilifi Counties in Kenya. Data was collected using semi-structured questionnaires from a sample of 250 smallholder cassava farmers. Descriptive statistics were used to analyse the socio-economic characteristics of respondents while a binary Probit model was used to analyse the socio-economic factors that influence farmers’ participation decision in cassava marketing. The results of the binary Probit model show that, sex of the head of a household, access to extension services, price of cassava products and quantity harvested had a positive and significant influence on market participation decision while years of schooling, household size and farm size had a negative and significant influence on the market participation decision. Therefore, based on the findings, the study recommended policy interventions targeting organization and coordination of the cassava marketing system and provision of appropriate incentives to farmers to enhance market participation.

scholarly journals Adoption Drivers of Improved Open-Pollinated (OPVs) Maize Varieties by Smallholder Farmers in the Eastern Cape Province of South Africa

2021 ◽  
Vol 13 (24) ◽  
pp. 13644
Author(s):  
Masithembe Sigigaba ◽  
Lelethu Mdoda ◽  
Asanda Mditshwa
Keyword(s):  
South Africa ◽  
Smallholder Farmers ◽  
Farm Size ◽  
Eastern Cape Province ◽  
Eastern Cape ◽  
Cross Sectional ◽  
Extension Services ◽  
Multi Stage ◽  
Maize Varieties ◽  
Structured Questionnaire

This study assesses the determinants of adoption drivers of improved open-pollinated (OPVs) maize varieties by smallholder farmers in the Eastern Cape Province of South Africa. Cross-sectional data of multi-stage random sampling was used to randomly select 150 smallholder farmers in the province. Data collection was conducted through a well-structured questionnaire administered to 150 smallholder farmers. Descriptive statistics and a logistic regression model were used for the analyses. The inferential results reveal that the majority of farmers in the study area were females (70%) with an average age of 45 years and had six people in the households. Smallholder maize farmers spent an average of 10 years in school. The results show that smallholder maize farmers had a farm size of 3 ha and a household income of R 3565.00, which contributes highly to household and farm operations. Farmers had access to extension services and were members of farm organizations. The results show that hybrid is the most used maize variety rather than OPVs. The main reason, among other things, for the poor use and adoption of OPVs is the lack of knowledge about the seeds. The results drawn from the estimations show that socio-economic and institutional factors influenced the adoption of OPVs by farmers in the study area. Therefore, the study recommends strengthening the existing extension services to highlight the benefits of OPVs through training and farmers’ information days.

scholarly journals PROBABILITAS TERJADINYA TINDAK KEKERASAN TERHADAP WANITA DALAM RUMAH TANGGA: STUDI PADA MASYARAKAT BERBASIS PERTANIAN DI KABUPATEN BENGKULU UTARA

2011 ◽  
Vol 13 (1) ◽  
pp. 58
Author(s):  
Agus Purwoko ◽  
Ketut Sukiyono ◽  
Basuki Sigit Priyono
Keyword(s):  
Random Sampling ◽  
Probit Model ◽  
Stratified Random Sampling ◽  
Binary Model ◽  
Binary Probit Model ◽  
Binary Probit

Penelitian ini ditujukan untuk mengkaji faktor-faktor yang mempengaruhi probabilitas terjadinya tindak kekerasan dalam rumah tangga (KDRT) pada wanita/istri petani, dalam periode 3 dan 6 bulan terakhir. Metode deskriptif dan probit binary model digunakan untuk menganalisa data yang telah terkumpul melalui wawancara terhadap 200 wanita dari 4 desa di Kecamatan Padang Jaya Kabupaten Bengkulu Utara yang dipilih secara stratified random sampling berdasarkan basis ekonomi rumah tangga (RT) mereka, yakni RT perkebunan, RT perikanan air tawar, dan RT pertanian tanaman pangan. Jumlah responden untuk masing-masing desa ditentukan secara proporsional berdasarkan sub-populasinya dan pemilihannya juga dilakukan secara acak. Hasil penelitian menunjukkan bahwa probabilitas wanita/istri petani mengalami KDRT dalam 3 dan 6 bulan terakhir adalah 37% dan 48%, dalam bentuk kekerasan fisik, psikologi, sosial-ekonomi, dan seksual. Penelitian ini juga menemukan bahwa perbedaan umur suami-istri, umur pernikahan, status ekonomi istri, dan perbedaan suku (etnik) suami-istri secara signifikan mempengaruhi probabilitas terjadinya KDRT pada wanita/istri petani, baik untuk periode 3 ataupun 6 bulan terakhir. Estimasi efek marjinal dari peubah bebasnya mengindikasikan bahwa persamaan etnik suami-istri dan status ekonomi istri memiliki kontribusi terbesar yang dapat mengurangi probabilitas wanita/istri petani mengalami tindak kekerasan dalam rumah tangganya. Kata kunci: kekerasan dalam rumah tangga, probalititas, binary probit model

scholarly journals Determinants of participation in highly paid markets among woolgrowers in the Eastern Cape province, South Africa

2018 ◽  
Author(s):  
Samuel O. Joseph ◽  
Michael A. Antwi ◽  
Clarietta Chagwiza
Keyword(s):  
South African ◽  
Skill Acquisition ◽  
Random Sampling ◽  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Market Value ◽  
Income Poverty ◽  
Eastern Cape Province ◽  
Eastern Cape ◽  
Rural Economic Development

Market participation is a very crucial element among smallholder farmers through its effects on income, poverty reduction and rural economic development. Woolgrowers seek to maximise profits by sourcing for avenues for higher market value for their products. The study identifies factors which determine participation of woolgrowers in high value markets. Using stratified random sampling, data was collected from 248 woolgrowers of the National Wool Growers Association (NWGA). A Logistic regression model was used to determine the factors that influence participation of woolgrowers in high value markets. The results reveals that wool growing experience (â =.033, Sig = .000), skill acquisition (â=.728, Sig=.000) and wool price have a positive (â= .071, Sig. = .000) and significant effect on woolgrowers’ participation in the highly paid markets, while gender (â =-.412, Sig=.006) has a negative and significant effect. The findings of this study would enhance future decision and policies that would improve market accessibility and competitiveness of South African woolgrowers, thereby improving their income, food security and livelihoods.

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