scholarly journals Farmers’ Exposure to Climate Hazards and Reforestation in Selected African Villages: An Endogenous-Switching Regression Model

2019 ◽  
Author(s):  
Tolulope Olayemi Oyekale ◽  
Abayomi Oyekale
Keyword(s):  
Burkina Faso ◽  
Treatment Effect ◽  
Smallholder Farmers ◽  
Average Treatment Effect ◽  
Tree Planting ◽  
Switching Regression ◽  
Endogenous Switching Regression ◽  
Hazard Exposure ◽  
Endogenous Switching ◽  
Household Headship

Abstract Background: Deforestation remains a serious concern for Africa’s economic development and global climatic stability. Emphases are now placed on promoting some essential adaptive and mitigation strategies among smallholder farmers. This paper analyzed the effect of exposure to climate-related hazards on tree planting among smallholder farmers in nine selected African countries. The data were from baseline surveys which were conducted by the CGIAR’s research programme on Climate Change, Agriculture and Food Security (CCAFS). The included countries were Burkina Faso, Ethiopia, Ghana, Kenya, Mali, Niger, Senegal, Tanzania and Uganda. Data were analyzed with Endogenous Switching regression considering the endogeneity potentials of climate-hazard exposure. Results: The results showed that Uganda and Ethiopia had the highest average numbers of tree planting with 1.082 and 1.000 respectively, while Senegal (89.86%), Kenya (87.77%), Burkina Faso (82.86%) and Ethiopia (82.86%) had the highest exposure to climate-related hazards. Endogenous Switching regression results showed that climate hazard exposure was truly endogenous going by statistical significance of the Wald Chi Square test (p<0.05) and it was significantly influenced by female household headship, perception of more droughts, floods and low ground water. The number of tree that were planted increased significantly (p<0.05) with climate hazard exposure, degraded land areas, asset indices and residence in East Africa, while it reduced with female household headship. In addition, Average Treatment Effect (ATE) result indicated that an average household will plant 0.745 trees more when it had been previously exposed to climate shocks while Average Treatment Effect on the Treated (ATET) revealed that an average household that was exposed to climate hazards would plant 0.54 more trees than it would if it had not been exposed to hazards. Conclusion: The major implication of the findings is that without having previously experienced some climatic adversities, farmers may not see the need to engage in tree planting as a mitigating strategy. It was concluded that many farmers had been affected by climate-related shocks and efforts to safeguard future climate through tree planting should be gender sensitive and concentrated among previously affected farmers.

scholarly journals Dampak Program Raskin terhadap Konsumsi Gizi Rumah Tangga di Pulau Jawa

2020 ◽  
Vol 18 (1) ◽  
pp. 75
Author(s):  
Eka Rastiyanto Amrullah ◽  
NFN Kardiyono ◽  
Ismatul Hidayah ◽  
Aris Rusyiana
Keyword(s):  
Propensity Score ◽  
Food Insecurity ◽  
Propensity Score Matching ◽  
Low Income ◽  
Treatment Effect ◽  
Food Distribution ◽  
Switching Regression ◽  
Endogenous Switching Regression ◽  
The Poor ◽  
Endogenous Switching

<p>Distribution of subsidized rice for a low-income household has been one of the government policies to improve food insecurity and eradicate poverty.  From 1998 to 2015, this policy was implemented to distribute subsidized rice for the poor (Raskin) program. Impact evaluation of this program on household nutrition consumption is very important because the level of nutrition consumption is one of the instruments for welfare assessment in Indonesia. One of the problems in this program implementation was the inaccuracy of the target recipient, that was some small part of the poor and near-poor did not receive subsidized rice, and vice versa. Based on these findings, this study aimed to analyze Raskin's impact on household nutrition consumption for both target recipients and nonrecipient. In this study, the data used was Susenas 2015 from Statistics Indonesia, with the scope of analysis covering Java Island. Data were analyzed using the treatment effect method, with the Propensity Score Matching (PSM) and Endogenous Switching Regression approaches (ESR). Statistically and significantly, estimation results using PSM and ESR stated that the distribution of Raskin increased energy and protein consumption in each household recipient group, meaning that this program could reduce malnutrition and food insecurity of the poor. To increase the benefit of this subsidized food distribution, it is suggested that the target recipient's data should be improved, and the inaccuracy of household recipients should be minimized.</p><p> </p><p>Abstrak</p><p>Penyaluran subsidi beras untuk rumah tangga berpendapatan rendah menjadi salah satu kebijakan pemerintah dalam mengatasi kerawanan pangan dan pengentasan kemiskinan. Pada priode 1998 sampai 2015 kebijakan ini dilaksanakan melalui program penyaluran beras subsidi untuk rumah tangga miskin (Raskin). Evaluasi dampak Raskin terhadap tingkat konsumsi gizi rumah tangga sangat penting, karena kecukupan tingkat konsumsi gizi menjadi salah satu instrumen penilaian kesejahteraan di Indonesia. Salah satu permasalahan yang dihadapi dalam implementasi program ini adalah adanya ketidaktepatan penerima sasaran program, yaitu ada sebagian kecil rumah tangga miskin dan rentan miskin yang tidak menerima Raskin, dan sebaliknya.  Dengan latar belakang hasil penelitian tersebut, penelitian ini bertujuan untuk menganalisis dampak Raskin terhadap konsumsi gizi rumah tangga penerima dan bukan penerima. Data yang digunakan adalah data Susenas 2015 dari Badan Pusat Statistik, dengan cakupan analisis meliputi Pulau Jawa.  Data dianalisis dengan menggunakan metode efek perlakuan (<em>treatment effect)</em>, dengan pendekatan <em>Propensity Score Matching</em> (PSM) dan <em>Endogenous Switching Regression</em> (ESR). Secara statistik dan signifikan, hasil estimasi menggunakan PSM dan ESR menyatakan penyaluran Raskin dapat meningkatkan konsumsi energi dan protein pada setiap kelompok rumah tangga penerima Raskin, berarti program ini dapat mengurangi malnutrisi dan kerawanan pangan rumah tangga miskin. Untuk meningkatkan manfaat dari program penyaluran subsidi pangan, disarankan dilakukan perbaikan data rumah tangga penerima dan kesalahan target rumah tangga penerima ditekan sekecil mungkin.</p>

scholarly journals Does smallholder farmers’ awareness of Sustainable Development Goal 2 improve household food security in the Northern Region of Ghana?

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Franklin Nantui Mabe ◽  
Eliasu Mumuni ◽  
Nashiru Sulemana
Keyword(s):  
Sustainable Development ◽  
Food Security ◽  
Smallholder Farmers ◽  
Northern Region ◽  
Household Food Security ◽  
Switching Regression ◽  
Sustainable Development Goal ◽  
Endogenous Switching Regression ◽  
Development Goal ◽  
Household Food

Abstract Background Sustainable Development Goal 2 aims at ending hunger, achieving food security, improving nutrition and promoting sustainable agriculture. Whilst some smallholder farmers are aware of this goal, others are not. The question that arises is whether or not awareness translates into food security. Therefore, this study assessed whether or not smallholder farmers’ awareness of Sustainable Development Goal 2 improves household food security in the Northern Region of Ghana. Methods The study used cross-sectional primary data collected from two districts and two municipalities in the region. An endogenous switching regression treatment effects model with ordered outcome was used to estimate the effects of smallholder farmers’ awareness of Sustainable Development Goal 2 on household food insecurity level. Results The age of household head, distance of households to the regional capital, membership of farmer-based organizations, access to e-extension, education, and ownership of radio are the key drivers of farmers’ awareness of Sustainable Development Goal 2. The results from the endogenous switching regression treatment effects model with ordered outcome showed that households who are aware of the second goal are more food secure than their counterparts. Conclusions It is therefore prudent for stakeholders promoting and championing Sustainable Development Goals to educate farmers on goal 2 as their awareness of the goal is critical to achieving food security.

scholarly journals Adoption of Conservation Practices: Its Impact on Input Use and Performance in the Northern Region of Ghana

2018 ◽  
Vol 11 (5) ◽  
pp. 149
Author(s):  
Mavis Boimah ◽  
Akwasi Mensah-Bonsu ◽  
Yaw Osei-Asare ◽  
Daniel B. Sarpong
Keyword(s):  
Treatment Effect ◽  
Environmental Sustainability ◽  
Technical Assistance ◽  
Negative Impact ◽  
Maize Yield ◽  
Average Treatment Effect ◽  
Inorganic Fertilizer ◽  
Switching Regression ◽  
Average Treatment ◽  
The Impact

Conservation Agriculture (CA) is promoted worldwide on the basis of its contribution to economic, social, and environmental sustainability of agricultural production. In Ghana, despite the increasing interest in the promotion of CA and its practices, its rate of adoption is still low, mainly due to the conflicting evidences regarding its effectiveness. This paper contributes to the numerous debates by examining the impact of CA practices on hired labour, rates of inorganic fertilizers applied by adopters, maize yield, and profit of adopters. Using a cross-sectional data, a multinomial endogenous switching regression (MESR) model was employed to compute the Average Treatment Effect (ATE) and Average Treatment Effect on Treated (ATET) for yield, hired labour, inorganic fertilizer rate, and profit of adopters of CA practices. The study reveals that CA practices impact positively on hired labour employed on the farm, but have a negative impact on profits of adopters. No impact whatsoever of adoption of CA practices is observed on maize yield and also inorganic fertilizer application rates. Technical assistance, and training of farmers on strategies that minimize costs of production must be intensified to raise profits of adopters.

Distance Traveled in Times of Pandemic: An Endogenous Switching Regression Approach

2021 ◽  
pp. 135481662110594
Author(s):  
David Boto-García ◽  
Veronica Leoni
Keyword(s):  
Potential Change ◽  
Behavioral Adaptation ◽  
Selection Effects ◽  
Switching Regression ◽  
Population Composition ◽  
Endogenous Switching Regression ◽  
Endogenous Switching ◽  
Regression Approach

This paper studies the change in the distance traveled by domestic tourists considering the pre- and post-pandemic outbreak summer periods of 2019 and 2020. Using representative monthly microdata involving more than 31,000 trips conducted by Spanish residents, we examine the heterogeneity in behavioral adaptation to COVID-19 based on sociodemographic and trip-related characteristics. To account for selection effects and the potential change in the population composition of travelers between the two periods, we estimate an endogenous switching regression that conducts separate regressions for the pre- and post-pandemic periods in a unified econometric framework. Our results point to heterogeneous shifts in the distance traveled by domestic travelers after COVID-19 outbreak per sociodemographic group, with notable differences by travel purpose and lower relevance of traditional determinants like income.

scholarly journals Poverty Reduction Effect of New-Type Agricultural Cooperatives: An Empirical Analysis Using Propensity Score Matching and Endogenous Switching Regression Models

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zhineng Hu ◽  
Qiong Feng ◽  
Jing Ma ◽  
Shuangyi Zheng
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Agricultural Cooperatives ◽  
Switching Regression ◽  
Cross Sectional ◽  
Endogenous Switching Regression ◽  
Endogenous Switching ◽  
Poor Households ◽  
Esr Model ◽  
New Type

Agricultural cooperatives have been found to effectively alleviate poverty in developing countries because of their specific socioeconomic functions that allow poor households to overcome marketing and production constraints. However, cooperative evaluations are inevitably influenced by other poverty alleviation measures and rarely consider the characteristics of specific ethnic groups. Using cross-sectional surveys in Southwest China and employing propensity score matching (PSM) and endogenous switching regression (ESR) models, this paper analyzed the participation of poor households in New-type Agricultural Cooperatives (NACs) in ethnic areas and assessed the income impacts of NAC membership by eliminating unobserved biases and group heterogeneity. This study detected heterogeneous policy perceptions and behavioral differences between the member and nonmember groups, and the PSM and ESR model results indicated that, overall, participation in the NACs had a positive effect on household income. The ESR model was found to be more plausible as it was able to reveal the significant income gaps under a counterfactual inference framework. Local policymakers need to focus on the policy perception and behavioral and earning capability differences between groups and increase the balanced policy implementation.

scholarly journals Does credit utilization lead to increasing farm outcome? a micro-perspective of tea production from Rwanda

Agro-Science ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 92-100
Author(s):  
A. Kabayiza ◽  
G. Owuor ◽  
K.J. Langat ◽  
P. Mugenzi ◽  
F. Niyitanga
Keyword(s):  
Raw Materials ◽  
Causal Effect ◽  
Agricultural Practices ◽  
Potential Effect ◽  
Farm Income ◽  
Switching Regression ◽  
Endogenous Switching Regression ◽  
Endogenous Switching ◽  
Tea Production ◽  
Farm Inputs

Credit is a crucial factor for tea growers to pay for physical farm inputs mainly input fertilizers, research and development of high yielding tea clones and labour in order to improve the production of green tea leaf and to meet factories’ demand for raw materials. However, mismanagement of accessed credits by farmers has been reported among the snags affecting the sector development. The study analyzed the determinants and impact of credit utilization on farm income among smallholder tea growers in Nyaruguru District, Rwanda. Crosssectional tea household level data were collected from 358 farmers randomly selected from tea cooperatives. The credit utilization and causal effect were estimated using the Endogenous Switching Regression model. Results showed a positive and significant relationship between credit utilization and tea farm income. Precisely, the causal effect of credit is a 7% increase in tea income for farmers who utilised credit for tea production, while its potential effect is up to a 55% decrease in tea income for those who divert credit for out-off tea production uses. Furthermore, training on good agricultural practices and credit management, cost of farm inputs, labour and access to group credit significantly influence utilization of credit for tea production. However, the size of credit (cash) and off-farm businesses significantly increase the diversion of credit and level of tea farm income. Tea farmers are encouraged to use tea credits for planned projects. Sensitizing farmers to procure farm input fertilizers in bulk through cooperatives should be vigorously pursued to discourage credit diversion. Key words: tea credits, tea farming households, farm income, endogenous switching regression

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