Dataset Information

Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia.

ABSTRACT: Indonesia is the fifth largest cocoa-producing country in the world, and an increase in cocoa farming efficiency can help farmers to increase their per capita income and reduce poverty in rural areas of this country. This research evaluated the efficiency of Indonesian cocoa farms using a non-parametric approach. The results revealed that the majority of cocoa farms are operated relatively inefficiently. The average technical and allocative efficiencies (0.82 and 0.46, respectively) of these cocoa farms demonstrated that there is potential for improvement. The potential cost reductions range from 36 to 76%, with an average of 60%, if farmers practice efficiently. The technical and allocative efficiencies and cocoa farm economies are affected by the use of quality seeds, organic fertilizers, frequency of extension and training of farm managers, access to bank credit and the market, the participation of women, and the farm manager's gender. An increase in the output would increase farmers' income and reduce poverty in rural areas. This research suggests that the availability of extension and training provided to farmers as well as support for women farmer groups should be increased. Credit programs are also important for cocoa farmers, so policymakers should develop programs that make production credit more accessible for farmers, especially through cooperatives and banks.

SUBMITTER: Effendy

PROVIDER: S-EPMC6448898 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia.

Effendy Pratama M Fardhal MF Rauf Rustam Abdul RA Antara Made M Basir-Cyio Muhammad M Mahfudz Muhardi

PloS one 20190404 4

Indonesia is the fifth largest cocoa-producing country in the world, and an increase in cocoa farming efficiency can help farmers to increase their per capita income and reduce poverty in rural areas of this country. This research evaluated the efficiency of Indonesian cocoa farms using a non-parametric approach. The results revealed that the majority of cocoa farms are operated relatively inefficiently. The average technical and allocative efficiencies (0.82 and 0.46, respectively) of these coc ...[more]

PMID: 30947276

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Project description:A model that can elaborate the interaction between research variables influencing digital transformation, especially on the performance of sales organizations in Fast-Moving Consumer Goods companies, is fundamental. It allows the decision-makers to take proper action for their companies' optimization. By using Partial Least Squares Structural Equation Modeling (PLS-SEM) to build a model that can describe the interaction between Leadership Model, Organizational Citizenship Behavior, and Sales Management in 346 respondents working in various Fast-moving Consumer Goods companies in Indonesia, the present study found the most respondents were from the Special Capital Region of Jakarta (40.7%). It was found that the Sales Director (50.0%) was the most responsible for digital transformation implementation within the sales organization. Most respondents answered that effectiveness in the company's Internal Business Processes was the primary goal of digital transformation (28.1%). Concerning the success parameters of the digital transformation, Business Processes were the prominent expression of successful implementation (19.4%), with Sales Automation (37.4%) as the main activity in their digital transformation. Three hypotheses with the variables of leadership models, organizational citizenship behavior (OCB), and sales management control, had proven to affect digital transformation positively. Later, in four hypotheses where sales organization performance was set as the dependent variable, it was found that the leadership model influenced organization performance with digital transformation as a mediator. Finally, the last three hypotheses, with variables of sales management control, organizational citizenship behavior, and leadership model, positively influenced organization performance through digital transformation as a mediating variable. Leaders in organizations who carry out digital transformation must ensure that their organizations can respond to disruptions related to the use of digital technology in order for an organization to achieve proper performance.

Project description:BackgroundThe Global Code of Practice on the International Recruitment of Health Personnel focuses particularly on migration of doctors from low- and middle-income countries. Less is understood about migration from high-income countries. Recession has impacted several European countries in recent years, and in some cases emigration has reached unprecedented levels. This study measures and explores the predictors of trainee doctor emigration from Ireland.MethodsUsing a partially mixed sequential dominant (quantitative) study design, a nationally representative sample of 893 trainee doctors was invited to complete an online survey. Of the 523 who responded (58.6% response rate), 423 were still in Ireland and responded to questions on factors influencing intention to practice medicine abroad and are the subjects of this study. Explanatory factors for intention to practice medicine in Ireland in the foreseeable future, the primary outcome, included demographic variables and experiences of working within the Irish health system. Associations were examined using univariable and multivariable logistic regression to estimate odds ratios for factors influencing the primary outcome. Qualitative interviews were conducted with 50 trainee doctors and analysed thematically, exploring issues associated with intention to practice medicine abroad.ResultsThere were high levels of dissatisfaction among trainee doctors around working conditions, training and career progression opportunities in Ireland. However, most factors did not discriminate between intention to leave or stay. Factors that did predict intention to leave included dissatisfaction with one's work-life balance (odds ratio (OR) 2.51; 95% confidence interval (CI) 1.53-4.10; P?<?0.001); feeling that the quality of training in Ireland was poor (OR 1.82; 95% CI 1.09-3.05; P?=?0.002) and leaving for family or personal reasons (OR 1.85; 95% CI 1.08-3.17; P?=?0.027). Qualitative findings illustrated the stress of doing postgraduate training with inadequate supervision, lack of ring-fenced training time and pressures on personal and family life.ConclusionsLarge-scale dissatisfaction with working, training and career opportunities point to systemic factors that need to be addressed by health workforce planners if Ireland is to retain and benefit from a motivated medical workforce, given trainees' perceptions that there are better opportunities abroad.

Project description:OBJECTIVE:The aims of this study were to describe distributions of the prevalence of osteopenia and osteoporosis and identify the potential risk factors by gender in a Chinese rural population. DESIGN:A cross-sectional survey. SETTING AND PARTICIPANTS:A total of 8475 participants (18-79 years) were obtained from the Henan Rural Cohort Study. Bone mineral density (BMD) of the calcaneus for each individual was measured by ultrasonic bone density apparatus. Logistic regression models were used to evaluate associations of potential risk factors with prevalence of osteopenia and osteoporosis. Furthermore, a meta-analysis of prevalence of osteoporosis which included eight studies was conducted to confirm this study results. RESULTS:The mean of BMD were 0.42?and 0.32?g/cm2 for men with osteopenia and osteoporosis (p<0.001), as well as 0.40 and 0.30?g/cm2 (p<0.001) for women with osteopenia and osteoporosis, respectively. The overall age-standardised prevalence of osteopenia and osteoporosis were 42.09% and 11.76% in all participants. The age-standardised prevalence of osteopenia in men (45.98%) was significantly higher than that in women (39.73%), whereas the age-standardised prevalence of osteoporosis in men (7.82%) was lower than that in women (14.38%). Meta-analysis results displayed pooled prevalence of osteoporosis of 18.0% (10.1%-25.8%) in total sample, 7.7% (5.7%-9.7%) in men and 22.4% (17.1%-27.6%) in women. Multivariable logistic regression models showed that ageing, women, low education level or income, drinking or underweight was related to increased risk for osteopenia or osteoporosis. CONCLUSIONS:About one-sixth of the participants suffered osteoporosis in rural China, and the prevalence in women was higher than men. Although the results were lower than that of meta-analysis, osteoporosis still accounts for huge burden of disease in rural population due to limited medical service and lack of health risk awareness rather than urban area. TRIAL REGISTRATION NUMBER:Chinese Clinical Trial Registry (ChiCTR-OOC-15006699; Pre-results).

Dataset Information

Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia.

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Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia.

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