Impact Assessment of the Cotton YIELD Programme in Zambia

ABSTRACT This paper sought to evaluate the economic impact of the Cotton YIELD Programme on crop income of smallholder cotton farmers in Zambia. Specifically, the study sought to (a) identify factors that influence smallholder cotton farmer’ participation in the programme and (b) determine whether the Cotton YIELD Programme has increased the income of smallholder cotton farmers in Zambia. The study utilized pooled cross-section data of 300 cotton farmers, collected from two households survey (2005 and 2015) in Mumbwa district of Zambia. The Double Difference model combined with Propensity Score Matching methods were employed in the analysis. Results show that participation in the programme is positively driven by education, farm size, membership, access to credit, ownership of animal traction and media. However, distance to extension agents and market outlets negatively influence participation. Furthermore, the study found that the Cotton YIELD Programme has significantly increased crop income of smallholder cotton farmers by 38.1 percent.

Download Full-text

Factors influencing improved Maize Farming Technologies adoption in Yendi Municipality of Northern Region of Ghana

International Journal of Irrigation and Agricultural Development (IJIRAD) ◽

10.47762/2019.964x.58 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

G. B. Mohammed ◽

H. Adam ◽

K. Duniya

Keyword(s):

Poisson Regression ◽

Northern Region ◽

Farm Size ◽

Extension Agents ◽

Poisson Regression Model ◽

Access To Credit ◽

Poisson Regression Analysis ◽

Food And Agriculture ◽

Factors Influencing ◽

Depth Interviews

Low technology adoption continues to affect the production of maize in Ghana, including the Yendi municipality, which is one of the high maize producing areas. The study examined the factors influencing the adoption of improved maize farming technologies in the Yendi municipality. Data was collected from 154 randomly selected maize farmers using questionnaires and in-depth interviews. Descriptive statistics and Poisson Regression Model were used to analyze the demographic characteristics of maize farmers as well as the socioeconomic factors influencing the adoption of improved maize farming technologies. The study revealed that 59% of the maize farmers had no contact with agricultural extension agents, which could negatively affect adoption of improved maize farming technologies. The Poisson regression analysis showed that education, farm size, credit and extension contact significantly influenced the adoption of improved maize farming technologies in the area. Maize farmers therefore need to be adequately trained on the technologies to understand their full benefits to enable them adopt them fully. The study recommends that Ministry of Food and Agriculture (MoFA) together with Development Partners (DPs) should facilitate farmers’ access to credit and provide more logistics to facilitate access to extension services.

Download Full-text

Food insecurity transitions among rural households in Nigeria

Studies of Applied Economics ◽

10.25115/eea.v39i1.3505 ◽

2020 ◽

Vol 39 (1) ◽

Author(s):

Oluwakemi Adeola Obayelu ◽

Emem Ime Akpan

Keyword(s):

Food Security ◽

Secondary Education ◽

Food Insecurity ◽

Primary Education ◽

Rural Households ◽

Farm Size ◽

Dependency Ratio ◽

Male Adult ◽

Access To Credit ◽

Food Expenditure

Food insecurity dynamics of rural households in Nigeria was assessed using a panel data. Results showed that 44.4% of households that were food secure in the first panel transited into food insecurity in the second panel, while 32.5% that were mildly food insecure transited into food security. Furthermore, 25.7% transited from moderate food insecurity to food security, while 38.2% transited from severe food insecurity to food security. About 35.1% of households were never food insecure; 11.4% exited food insecurity 28.0% entered food insecurity; while 25.48% remained always food insecure. Having primary education, secondary education, dependency ratio, household size, share of non-food expenditure and farm size explained food insecurity transition. However, the likelihood of a household being always food insecure was explained by gender, female-to-male-adult ratio, marital status, primary education, secondary education, dependency ratio, share of non-food expenditure, farm size, access to credit and access to remittance.

Download Full-text

Pooling of Time Series and Cross Section Data

Econometrica ◽

10.2307/1912807 ◽

1969 ◽

Vol 37 (3) ◽

pp. 552

Author(s):

V. K. Chetty

Keyword(s):

Time Series ◽

Cross Section ◽

Cross Section Data ◽

Section Data

Download Full-text

Calculation of Electron Impact Single Ionization TDCS of Tungsten Atoms at 200, 500 and 1000 eV

Atoms ◽

10.3390/atoms9020031 ◽

2021 ◽

Vol 9 (2) ◽

pp. 31

Author(s):

Ghanshyam Purohit

Keyword(s):

Electron Impact ◽

Cross Sections ◽

Projectile Energy ◽

Cross Section Data ◽

Scattered Electron ◽

Fusion Plasma ◽

Magnetic Devices ◽

Single Ionization ◽

Section Data ◽

Sensitive Dependence

We report triple differential cross-sections (TDCSs) for the electron impact single ionization of tungsten atoms for the ionization taking place from the outer sub shells of tungsten atoms, viz. W (6s), W (5d), W (5p) and W (4f). The study of the electron-induced processes such as ionization, excitation, autoionization from tungsten and its charged states is strongly required to diagnose and model the fusion plasma in magnetic devices such as Tokamaks. Particularly, the cross-section data are important to understand the electron spectroscopy involved in the fusion plasma. In the present study, we report TDCS results for the ionization of W atoms at 200, 500 and 1000 eV projectile energy at different values of scattered electron angles. It was observed that the trends of TDCSs for W (5d) are significantly different from the trends of TDCSs for W (6s), W (5p) and W (4f). It was further observed that the TDCS for W atoms has sensitive dependence on value of momentum transfer and projectile energy.

Download Full-text

Adoption of Improved Mungbean Production Technologies in Selected East African Countries

Agriculture ◽

10.3390/agriculture11060528 ◽

2021 ◽

Vol 11 (6) ◽

pp. 528

Author(s):

Frank Mmbando ◽

Emmanuel Mbeyagala ◽

Papias Binagwa ◽

Rael Karimi ◽

Hellen Opie ◽

...

Keyword(s):

Information Dissemination ◽

Smallholder Farmers ◽

Women Farmers ◽

Farm Size ◽

East African ◽

African Countries ◽

Household Asset ◽

Access To Credit ◽

Household Assets ◽

Production Technologies

This study analyzes the factors that influence the probability and extent of the adoption of mungbean production technologies in Tanzania, Kenya and Uganda, using multivariate probit and Poisson regression models. The results show that the probability and extent of the adoption of mungbean production technologies are influenced by gender of the household, household size, farm size, livestock size, household assets, access to extension services and access to credit. The study suggests that policy interventions that aimed at targeting women farmers, increasing household asset and information dissemination, such as field demonstrations and training programs, are crucial in enhancing technology adoption among smallholder farmers.

Download Full-text

Applications of cross section data for nuclear geochemical well logging

Radiation Effects ◽

10.1080/00337578608208352 ◽

1986 ◽

Vol 94 (1-4) ◽

pp. 49-52 ◽

Cited By ~ 2

Author(s):

R. C. Hertzog ◽

P. D. Soran ◽

J. S. Schweitzer

Keyword(s):

Cross Section ◽

Well Logging ◽

Cross Section Data ◽

Section Data ◽

Geochemical Well Logging

Download Full-text

An Am/Be neutron source and its use in integral tests of differential neutron reaction cross-section data

Applied Radiation and Isotopes ◽

10.1016/j.apradiso.2010.02.006 ◽

2010 ◽

Vol 68 (9) ◽

pp. 1656-1661 ◽

Cited By ~ 2

Author(s):

M.S. Uddin ◽

M.R. Zaman ◽

S.M. Hossain ◽

I. Spahn ◽

S. Sudár ◽

...

Keyword(s):

Cross Section ◽

Neutron Source ◽

Reaction Cross Section ◽

Reaction Cross ◽

Cross Section Data ◽

Section Data ◽

Neutron Reaction

Download Full-text

Unions and Productivity in the Public Sector: A Study of Municipal Libraries

ILR Review ◽

10.1177/001979398303600203 ◽

1983 ◽

Vol 36 (2) ◽

pp. 199-213 ◽

Cited By ~ 15

Author(s):

Ronald G. Ehrenberg ◽

Daniel R. Sherman ◽

Joshua L. Schwarz

Keyword(s):

Public Sector ◽

Collective Bargaining ◽

Empirical Analysis ◽

Cross Section ◽

Cross Section Data ◽

The Public ◽

Section Data ◽

The Empirical Analysis

This paper develops and illustrates the use of two methodologies to analyze the effect of unions on productivity in the public sector. Although the methodologies are applicable to a wide variety of public sector functions, the focus of the paper is on municipal libraries because of the availability of relevant data. The empirical analysis, which uses 1977 cross-section data on 260 libraries, suggests that collective bargaining coverage has not significantly affected productivity in municipal libraries.

Download Full-text