scholarly journals Can a Weather-Based Crop Insurance Scheme Increase the Technical Efficiency of Smallholders? A Case Study of Groundnut Farmers in India

2021 ◽  
Vol 13 (16) ◽  
pp. 9327
Author(s):  
K. Nirmal Ravi Kumar ◽  
Suresh Chandra Babu
Keyword(s):  
Climate Change ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Smallholder Farmers ◽  
Crop Insurance ◽  
Data Envelopment ◽  
Insurance Scheme ◽  
Vulnerability To Climate Change ◽  
The Impact

This paper analyzes the impact of a Weather-Based Crop Insurance Scheme (WBCIS) on the Technical Efficiency (TE) of smallholder groundnut farmers in the context of climate change in India. We use Data Envelopment Analysis (DEA) to study the TE of smallholder farmers, which range between 0.58 and 1, with a mean of 0.79. Using the Propensity Score Matching (PSM) technique, we find that the TE of smallholder farmers improves when they participate in a WBCIS using three matching methods. Increasing the coverage of farmers under a WBCIS can help in reducing smallholder farmers vulnerability to climate change.

Does the Financial Self-sufficiency of Municipalities Affect Efficiency of the Museums which they Founded? (A Case Study from the Czech Republic)

2017 ◽  
Vol 15 (3) ◽  
pp. 479-494 ◽  
Author(s):  
Michal Plaček ◽  
František Ochrana ◽  
Milan Půček ◽  
Milan Křápek ◽  
David Špaček
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Fiscal Decentralization ◽  
Financial Data ◽  
Data Envelopment ◽  
The Czech Republic ◽  
Self Sufficiency ◽  
Using Data ◽  
The Impact

This paper analyzes and discusses the impact of fiscal decentralization on the efficiency of museums run by municipalities. It tests the hypothesis that municipalities with higher levels of income self-sufficiency can more efficiently manage museums than municipalities with lower levels of financial self-sufficiency. For our analysis, we used financial data for the years 2015 to analyze the efficiency of museums using data envelopment analysis (DEA). To test the hypothesis about the impact of financial self-sufficiency, we use regression analysis. The results obtained did not confirmed the hypothesis.

scholarly journals ANALISIS EFISIENSI DAN FAKTOR-FAKTOR PRODUKSI KOMODITAS SEKTOR BASIS KABUPATEN PATI (Studi Kasus Budidaya Ikan Bandeng Kabupaten Pati, Jawa Tengah)

2019 ◽  
Vol 14 (1) ◽  
pp. 59
Author(s):  
Triana Dwi Wahyuni ◽  
Sasongko Sasongko ◽  
Sri Muljaningsih
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Large Scale ◽  
Ordinary Least Squares ◽  
Data Envelopment ◽  
Central Java ◽  
Factors Analysis ◽  
Production Factors ◽  
Factors Influencing

Penelitian ini bertujuan untuk mengukur tingkat efisiensi teknik pada pembudidaya ikan bandeng dan faktor-faktor yang mempengaruhi produksi ikan bandeng sebagai komoditas sektor basis di Kabupaten Pati. Metode penelitian yang digunakan adalah dengan analisis DEA (Data Envelopment Analysis) dengan asumsi output oriented dan pendekatan Variable Return to Scale (VRS) untuk mengukur tingkat efisiensi teknik pembudidaya bandeng. Selanjutnya dengan analisis regresi linear berganda, untuk mengetahui faktor-faktor yang mempengaruhi produksi bandeng di Kabupaten Pati. Hasil penelitian menunjukkan bahwa tingkat efisiensi teknis pembudidaya bandeng di Kabupaten Pati masih sangat rendah, rata-rata efisiensi teknis adalah 7,41. Adapun sebanyak 55% atau sebanyak 44 pembudidaya dari 80 sampel pembudidaya masih berada di bawah rata-rata. Hasil analisis regresi diperoleh bahwa penggunaan benih, luas lahan, dan jarak lokasi tambak dengan laut mempunyai pengaruh yang sangat signifikan; Sedangkan penggunaan tenaga kerja tidak berpengaruh secara signifikan terhadap produksi bandeng.Efficiency and Production Factors Analysis of Base Sector  Commodity in the Pati Regency (Case Study: Milkfish Farming  in Pati Regency, Central Java)This study aims to measure the level of technical efficiency in milkfish farmers and factors influencing milkfish production as a base sector commodity in Pati Regency. The research applied DEA (Data Envelopment Analysis) with output oriented assumption and Variable Return to Scale (VRS) approaches to measure the efficiency level of milkfish farmers. It is then analysed by Ordinary Least Squares (OLS) to determine factors influencing milkfish production in Pati Regency. Results showed that the level of technical efficiency of milkfish farmers in Pati Regency was in low level with average number of 7.41. There are 55% of 80 farmers are below average. Furthermore, this research described the efficiency level of milkfish farmers in low, medium and large scale. OLS analysis found that the use of seeds, land area, and distance between ponds and sea have significant effect on milkfish production instead of the use of labour. 

scholarly journals An Evaluation of the Technical Efficiency of the Selected Commercial Banks with the Usage of the CCR-DEA Model under the Conditions of Acquisitions in the Banking Sector

2020 ◽  
Vol 54 (1) ◽  
pp. 77
Author(s):  
Anna Pyka
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Linear Form ◽  
Commercial Banks ◽  
Banking Sector ◽  
Data Envelopment ◽  
Dea Model ◽  
The Impact ◽  
Ccr Model

<p>The aim of this article is to evaluate the technical efficiency of the chosen commercial banks, which in the years 2014–2016 were participants in acquisitions in the banking sector, with the usage of the Data Envelopment Analysis (DEA) model. The DEA model was modified through reshaping the linear form using the Charnes, Cooper, and Rhodes (CCR) model, which is aimed at expenditures. Particular attention was paid to the impact of acquisitions in the banking sector on the improvement or deterioration of the technical efficiency of banks that act as acquiring banks.</p>

scholarly journals Vulnerability and Local Innovation in Adaptation to Climate Change among the Pastoralists: Harshin District, Somali Region, Ethiopia

2017 ◽  
Vol 6 (2) ◽  
pp. 65
Author(s):  
Yohannes Gebre Michael
Keyword(s):  
Climate Change ◽  
Social Institutions ◽  
Farming Systems ◽  
Adaptation To Climate Change ◽  
Somali Region ◽  
Vulnerability To Climate Change ◽  
Wide Range ◽  
The Impact ◽  
Point Of Departure

The case study was made with the overall aim of understanding of pastoralist vulnerability and adaptation to climate changes. As a methodology five kebeles have been purposely selected representing pastoral and agro-pastoral farming systems in Harshin district of Somali Region in Ethiopia. The survey was conducted through semi-structured checklists with individual households and groups accounting a total of 124 people.The major findings of the study indicated that the environmental and socio-economic dynamics are skewed to negative trends where the livelihood of the pastoral community is under a big threat. Moreover, the combinations of factors including access to resources and social institutions, livelihood practices, inappropriate technologies and policies have attributed to trigger the vulnerability to climate change among the pastoralists in general and agro-pastoralists in particular. In adapting to the impact of climate change, pastoralists and agro-pastoralists are using wide range of group and individual local innovations, some farming practices and establishment of multi-functional grassroots institutions. Finally creating enabling policy environment for local experimentation and innovations in the framework of pastoralism and sustainability have been suggested as a point of departure in developing resilience to climate change and other pressures. 

scholarly journals Gender dimension of vulnerability to climate change and variability

2019 ◽  
Vol 11 (2) ◽  
pp. 195-214 ◽  
Author(s):  
Suhiyini I. Alhassan ◽  
John K.M. Kuwornu ◽  
Yaw B. Osei-Asare
Keyword(s):  
Climate Change ◽  
Smallholder Farmers ◽  
Northern Region ◽  
Content Type ◽  
Climate Change And Variability ◽  
Vulnerability To Climate Change ◽  
Significant Difference ◽  
Female Headed Households ◽  
The Impact ◽  
Farming Households

PurposeThis paper aims to investigate farmers’ vulnerability to climate change and variability in the northern region of Ghana.Design/methodology/approachThe study assessed the vulnerability of male-headed and female-headed farming households to climate change and variability by using the livelihood vulnerability index (LVI) and tested for significant difference in their vulnerability levels by applying independent two-sample-student’st-test based on gender by using a sample of 210 smallholder farming households.FindingsThe results revealed a significant difference in the vulnerability levels of female-headed and male-headed farming households. Female–headed households were more vulnerable to livelihood strategies, socio-demographic profile, social networks, water and food major components of the LVI, whereas male-headed households were more vulnerable to health. The vulnerability indices revealed that female–headed households were more sensitive to the impact of climate change and variability. However, female-headed households have the least adaptive capacities. In all, female-headed farming households are more vulnerable to climate change and variability than male-headed farming households.Research limitations/implicationsThe study recommends that female-headed households should be given priority in both on-going and new intervention projects in climate change and agriculture by empowering them through financial resource support to venture into other income-generating activities. This would enable them to diversify their sources of livelihoods to boost their resilience to climate change and variability.Originality/valueThis is the first study that examined the gender dimension of vulnerability of smallholder farmers in Ghana by using the livelihood vulnerability framework. Female subordination in northern region of Ghana has been profound to warrant a study on gender dimension in relation to climate change and variability, especially as it is a semi-arid region with unpredictable climatic conditions. This research revealed the comparative vulnerability of male- and female-headed households to climate change and variability.

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