scholarly journals Adoption and Profitability of the Purdue Improved Crop Storage Technology for Grain Storage in the South-Central Regions of Niger

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2470
Author(s):  
Mahamane Moctar Rabé ◽  
Ibrahim B. Baoua ◽  
Dieudonne Baributsa
Keyword(s):  
Information Source ◽  
Insect Pest ◽  
Health Expenditures ◽  
Family Farms ◽  
Storage Losses ◽  
Storage Technology ◽  
Logit Regression ◽  
South Central ◽  
Central Regions ◽  
Logit Regression Model

Cowpea is a food security crop and a main source of income for farmers in Niger. However, postharvest storage remains a major challenge due to insect pest attacks. Since 2008, the Purdue Improved Crop Storage (PICS) bags were disseminated in Niger to reduce storage losses. This study was conducted to assess the adoption of the PICS technology in the Dosso, Maradi, and Zinder regions of Niger. We interviewed 600 households selected from villages that did and did not benefit from PICS extension activities. A logit regression model was used to assess the decision of farmers to adopt the PICS technology. The overall adoption of the PICS bags among farmers was 48.4%. PICS adoption was 69.7% in Dosso, 41.3% in Zinder, and 31.2% in Maradi. Farmers who attended PICS training were 5 times more likely to adopt the technology than those who did not. Variables that affected the adoption of the PICS technology included the region, participation in PICS training, and information source. Beyond cowpea, PICS bags were used to store a variety of crops including Bambara nuts, hibiscus seeds, peanuts, millet, and sorghum. Storing 100 kg of cowpea in a PICS bag generated a cash flow of $70.38 per respondent and a net return of $21.50. Revenues generated from sales of cowpea stored in PICS bags were mostly used for health expenditures and to purchase agricultural inputs. Results of this study demonstrate that pest management technologies such as PICS bags can also contribute to improving the livelihood of family farms.

scholarly journals Exposure of Domestic Cats to Three Zoonotic Bartonella Species in the United States

Pathogens ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 354
Author(s):  
Lynn M. Osikowicz ◽  
Kalanthe Horiuchi ◽  
Irina Goodrich ◽  
Edward B. Breitschwerdt ◽  
Bruno Chomel ◽  
...  
Keyword(s):  
New England ◽  
The United States ◽  
Severe Illness ◽  
Domestic Cats ◽  
Bartonella Species ◽  
Serum Samples ◽  
North Central ◽  
Middle Atlantic ◽  
South Central ◽  
Central Regions

Cat-associated Bartonella species, which include B. henselae, B. koehlerae, and B. clarridgeiae, can cause mild to severe illness in humans. In the present study, we evaluated 1362 serum samples obtained from domestic cats across the U.S. for seroreactivity against three species and two strain types of Bartonella associated with cats (B. henselae type 1, B. henselae type 2, B. koehlerae, and B. clarridgeiae) using an indirect immunofluorescent assay (IFA). Overall, the seroprevalence at the cutoff titer level of ≥1:64 was 23.1%. Seroreactivity was 11.1% and 3.7% at the titer level cutoff of ≥1:128 and at the cutoff of ≥1:256, respectively. The highest observation of seroreactivity occurred in the East South-Central, South Atlantic, West North-Central, and West South-Central regions. The lowest seroreactivity was detected in the East North-Central, Middle Atlantic, Mountain, New England, and Pacific regions. We observed reactivity against all four Bartonella spp. antigens in samples from eight out of the nine U.S. geographic regions.

The Determinants of Poverty: Case of Indonesia

2017 ◽  
Vol 5 (3) ◽  
pp. 58-68
Author(s):  
Lilik Sugiharti ◽  
Martha Ranggi Primanthi
Keyword(s):  
Rural Area ◽  
Poverty Reduction ◽  
Jel Classification ◽  
Policy Implications ◽  
Education Attainment ◽  
Education Access ◽  
Logit Regression ◽  
Rural And Urban ◽  
Poor Households ◽  
Logit Regression Model

Objective - The objectives of the study were to analyze the general picture of poverty, and determinants of poverty in Indonesia. Understanding poverty characteristic is a main point for designing an effective poverty reduction strategy. During the last five years Indonesia has experienced a slowing down growth and the poverty rates has declined slightly. Some provinces or regions have managed to reduce the poverty well, while others have been slower, and also the distribution of the poor is uneven across both rural and urban, generally the rural is more than urban area. Methodology/Technique - Factors determining poverty of households were estimated and anayzed using a logit regression model, and it is found that such demographic factors as gender and age of households head, size of households, factors of production included accessibility to the technology and credit, working status, and education attainment, and also geographic characteristics significantly explain reasons for being poor. Moreover, increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention. Findings - The results of the determinants of poverty in Indonesia shows that poor households are those with large number of dependents and equipped with limited education access, and the majority of these households live in rural area. Novelty - Study suggests that increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention or policy implications. Type of Paper: Empirical Keywords: Logit Regression; Poverty Reduction, Indonesia. JEL Classification: I21, I22, I24.

scholarly journals Farmers’ Satisfaction of Rural Facilities and Its Influencing Indicators: A Case Study of Sichuan, China

2017 ◽  
Vol 2017 ◽  
pp. 1-12
Author(s):  
Yibin Ao ◽  
Jiayue Li ◽  
Yan Wang ◽  
Changjiang Liu ◽  
Shuhong Xu
Keyword(s):  
Decision Making ◽  
Theoretical Basis ◽  
Top Down ◽  
Recreational Facilities ◽  
Logit Regression ◽  
Life Type ◽  
Logit Regression Model ◽  
Public Toilets ◽  
Significant Factors

The disparity between construction targets and the real needs of farmers in the construction of rural facilities is a problem that has led to a failure in meeting farmers’ demands. This paper investigates farmers’ satisfaction and the influencing factors of rural facilities through factor analysis and logit regression model. This research led to three key findings: (1) overall satisfaction of farmers of rural facilities is below average level; (2) farmers’ satisfaction is affected mainly by the horizontal comparison, road facilities, electricity and signal facilities, reconstruction of public toilets, irrigation facilities, cultural and recreational facilities, renovation of fuel and kitchen, healthy facilities, village planning and renovation, and income factor; (3) farmers’ needs are shifting from production to life type. This paper is the foundation of further analysis of the effects of significant factors on farmers’ satisfaction, providing a theoretical basis for the construction of “bottom-up” and “top-down” decision-making mechanism.

Multifamily farms and America's farm structure: A new perspective on an old issue

2001 ◽  
Vol 16 (4) ◽  
pp. 184-190 ◽  
Author(s):  
Jay M. Lillywhite ◽  
Michael Duffy
Keyword(s):  
Predictive Power ◽  
Family Farm ◽  
Family Farms ◽  
Single Family ◽  
Significant Percentage ◽  
Outreach Programs ◽  
Logit Regression ◽  
Phone Survey ◽  
Commercial Farms ◽  
New Perspective

AbstractThis study examined the extent and nature of multifamily farms in Iowa. Based on a random sample phone survey conducted in 1997, it was found that over one-fourth (26%) of Iowa's farms would be classified as multifamily farms. Multifamily farms showed significant differences from their single-family farm counterparts in several areas. They tended to have younger operators and larger operations, and the operators were more likely to consider farming as their principal occupation. In addition, they had more diverse operations and generated larger farm and family incomes. The farms were further classified based on their annual sales. As expected, non-commercial farms (sales less than $50,000) had the lowest percentage of multifamily farms (21%). Smallcommercial farms with sales from $50,000 to $250,000 were 30% multifamily, while large-commercial farms were 35% multifamily. The study also addressed whether or not policy restrictions based on age and income would discriminate against farms due to the multifamily farm phenomenon. A logit regression analysis was performed to determine if a multifamily structure was significant in predicting whether or not a farm was small. The results showed that multifamily relations were not a significant predictor. A growing phenomenon in U.S. agriculture, namely the multifamily farm, was examined. A significant percentage of Iowa farms was found to be multifamily. There were many differences between multifamily and single-family farms, but these differences did not display any predictive power. More research is needed in order to understand multifamily farms, a structure that will likely continue to grow and influence U.S. agriculture and outreach programs.

scholarly journals An analysis of women’s self-help groups’ involvement in microfinance program in India

2019 ◽  
Vol 13 (2) ◽  
pp. 2-11
Author(s):  
Gaurav Joshi
Keyword(s):  
Regression Model ◽  
Family Type ◽  
Content Type ◽  
Logit Regression ◽  
Self Help ◽  
Participation Of Women ◽  
Significant Difference ◽  
Self Help Groups ◽  
Logit Regression Model ◽  
The Impact

Purpose The purpose of this is to classify the social and economic factors which impact the involvement of women in self-help groups (SHGs) for their economic as well as social empowerment. Design/methodology/approach The research has been conducted in Nainital district of Uttarakhand (India) in 2018. Primary data have been gathered from women respondent only on factors relating to the ownership of asset, housing characteristics and other demographic details. Both SHG and non-SHG women members have been chosen as key informants during the survey. Multi-stage purposive and stratified random sampling has been used for the selection of respondents and SHGs. The logit regression model has been formulated to describe the causes that influence the participation of women in SHGs. Also, an empowerment index has been constructed to measure the effect of SHGs on women empowerment. Findings The results show that factors including age, education, family type and distance from the market have a significant impact on the participation of women in SHGs. Also, there is a significant difference in both these values which suggests that the value of the empowerment index gets significantly increased after joining the SHGs. Practical implications Analytically derived factors have been used to develop an empowerment index. Hence, the present research is valuable for marketing practitioners, entrepreneurs and professionals from the development sector who intend to work amongst SHGs, primarily with women. The paper is valuable for academic researchers in this area so that the limited body of knowledge, on the empowerment index, could be developed. Originality/value The present research is unique because the authors did not find work, especially in the context of rural India, in the said area. Factors impacting the participation of women in SHGs along with the impact of participation on empowerment have been explored using the logit regression model, leading to the development of an empowerment index.

scholarly journals Was There a National Labor Market at the End of the Nineteenth Century? New Evidence on Earnings in Manufacturing

1996 ◽  
Vol 56 (3) ◽  
pp. 626-656 ◽  
Author(s):  
Joshua L. Rosenbloom
Keyword(s):  
Labor Market ◽  
World War I ◽  
Market Integration ◽  
The United States ◽  
Wage Rates ◽  
South Central ◽  
Central Regions ◽  
Annual Earnings ◽  
New Evidence ◽  
National Labor Market

Average annual earnings calculated from the census of manufactures are used to extend previous research on labor market integration in the United States. In contrast to earlier research examining occupational wage rates, census average earnings indicate that a well-integrated labor market had emerged in the Northeast and North Central regions as early as 1879. They also reveal substantial convergence within the South Atlantic and South Central regions, suggesting the emergence of a unified southern labor market. Large and persistent North-South differentials indicate, however, that a unified national labor market did not develop before World War I.

ANTECEDENTS TO THE IMPLEMENTATION OF HYBRID STRATEGY IN A DYNAMIC BUSINESS ENVIRONMENT — AN ECONOMETRIC ANALYSIS OF BUSINESS DECISIONS IN GHANA

2016 ◽  
Vol 21 (04) ◽  
pp. 1650025
Author(s):  
AHMED AGYAPONG ◽  
KOFI AMANOR ◽  
KOFI POKU
Keyword(s):  
Competitive Advantage ◽  
High Growth ◽  
Business Environment ◽  
Manufacturing Firms ◽  
Organizational Capabilities ◽  
Business Decisions ◽  
Hybrid Strategy ◽  
Logit Regression ◽  
Specific Factors ◽  
Logit Regression Model

This study examines conditions that necessitate the adoption of a hybrid strategy in a dynamic market. The analysis is operationalized on a multisectorial sample of 610 firms in Ghana. The binomial logit regression model was estimated to examine the probability of the sampled firms to adopt hybrid strategy based on an array of competitive-based and firm-specific variables. The results show that generally, firms with superior firm performance, high organizational capabilities in marketing and innovation, strong positions in the implementation of single strategies, low industrial competitiveness and high growth in firm size are more likely to adopt a hybrid strategy to increase competitive advantage. However, we also observed that conditions are not homogenous across industries. We conclude that manufacturing firms apply competitive-based criteria rather than firm-specific factors in their decision to adopt hybrid strategies.

Functional PLS logit regression model

2007 ◽  
Vol 51 (10) ◽  
pp. 4891-4902 ◽  
Author(s):  
M. Escabias ◽  
A.M. Aguilera ◽  
M.J. Valderrama
Keyword(s):  
Regression Model ◽  
Logit Regression ◽  
Logit Regression Model

scholarly journals Evaluation of some effectiveness elements of the pig breeding industry in Bulgaria, through cluster analysis

2019 ◽  
Vol 35 (1) ◽  
pp. 25-33
Author(s):  
Ivelina Zapryanova
Keyword(s):  
Cluster Analysis ◽  
Central Region ◽  
Western Region ◽  
North Central Region ◽  
North Central ◽  
The North ◽  
South Central ◽  
North Eastern ◽  
Central Regions ◽  
North Western

An evaluation was made of the effectiveness elements of the pig breeding industry in Bulgaria in the period 2001-2016, through cluster analysis. The studied period was divided in 3 subperiods, each one with three similar groups (clusters). Through application of cluster analysis, the proximity of the different administration regions in the country was defined in accordance with certain indicators of the pig breeding effectiveness. It was found that in the first cluster for the period 2001-2006 fall North-Western and South-Western region. The North-Eastern and North-Central region form the second cluster. The South-Eastern and South-Central region fall mainly into the third cluster. In the first cluster for the period 2007-2011, the North-Western, South-Western and South-Central regions have a priority with the lowest number of sold animals. The North-Eastern and the North-Central region, forming a third cluster, remain with the highest effectiveness of the pig farming. After the end of 2013 an aggregation of the sector began. For the period 2012-2016, the second cluster is formed from three regions - North-Western, South-Western, and South-Central in 2013.

Sign in / Sign up

Export Citation Format

Share Document