scholarly journals Sambalpuri Handloom Weavers’ Livelihood: An Analysis of Western Odisha Clusters, India

2021 ◽  
Vol 3 (3) ◽  
pp. 215-235
Author(s):  
Tushar Kanti Das
Keyword(s):  
Quantitative Data ◽  
Field Survey ◽  
Choice Model ◽  
Critical Role ◽  
Economic Conditions ◽  
Binary Choice ◽  
State Governments ◽  
Qualitative And Quantitative ◽  
Binary Choice Model ◽  
Almost All

The study aims to examine the livelihood of Sambalpuri handloom weavers of Western Odisha, India. By using the primary field survey data and analysing both the qualitative and quantitative data, it presents the socio-economic conditions of the weavers. A binary choice model is used to analyse the livelihood of weavers. The analysis shows that although the price of the product is quite high, almost all the weavers are not satisfied with the amount of the emoluments that they receive. The middleman plays a critical role in marketing. But the actual benefits from marketing the Sambalpuri handloom products are going to middleman rather than weavers. It recommends making necessary policies both by the central as well as the state governments to rescue these handloom weavers.

A binary choice model with partial observability for panel data

2020 ◽  
Vol 15 (4) ◽  
pp. 315-322
Author(s):  
Ekaterina Batalova ◽  
Kirill Furmanov ◽  
Ekaterina Shelkova
Keyword(s):  
Job Search ◽  
Latent Class ◽  
Choice Model ◽  
Maximum Likelihood Estimates ◽  
Binary Choice ◽  
Panel Model ◽  
Binary Response Variable ◽  
Monitoring Survey ◽  
Binary Choice Model ◽  
Time Invariant

We consider a panel model with a binary response variable that is a product of two unobservable factors, each determined by a separate binary choice equation. One of these factors is assumed to be time-invariant and may be interpreted as a latent class indicator. A simulation study shows that maximum likelihood estimates from even the shortest panel are much more reliable than those obtained from a cross-section. As an illustrative example, the model is applied to Russian Longitudinal Monitoring Survey data to estimate a proportion of the non-employed population who are participating in job search.

scholarly journals Factors influencing bicycle use: a binary choice model with panel data

2017 ◽  
Vol 27 ◽  
pp. 253-260 ◽  
Author(s):  
Ana Barberan ◽  
João de Abreu e Silva ◽  
Andres Monzon
Keyword(s):  
Panel Data ◽  
Choice Model ◽  
Binary Choice ◽  
Factors Influencing ◽  
Binary Choice Model

“Social temperature”—relation between binary choice model and Ising model

2007 ◽  
Author(s):  
Andrzej Radosz ◽  
Katarzyna Ostasiewicz ◽  
Paulina Hetman ◽  
Piotr Magnuszewski ◽  
Michał H. Tyc ◽  
...  
Keyword(s):  
Ising Model ◽  
Choice Model ◽  
Binary Choice ◽  
Temperature Relation ◽  
Binary Choice Model

scholarly journals Dampak Pengembangan Pariwisata Terhadap Perekonomian Masyarakat Sekitar Objek Wisata di Dieng Kabupaten Wonosobo

2018 ◽  
Vol 6 (3) ◽  
pp. 320-327
Author(s):  
Sani Alim Irhamna
Keyword(s):  
Quantitative Data ◽  
Secondary Data ◽  
Likert Scale ◽  
Economic Conditions ◽  
Qualitative And Quantitative ◽  
Descriptive Research ◽  
The Impact ◽  
The Village ◽  
Visitor Attractions ◽  
Tourism Revenue

Penelitian ini mengidentifikasi dampak yang ditimbulkan dari adanya pengembangan objek wisata terhadap kondisi perekonomian masyarakat sekitar. Penelitian ini dilakukan di Desa Dieng, Kecamatan Kejajar, Kabupaten Wonosobo. Penelitian ini dilakukan karena meningkatknya pengunjung objek wisata dan pendapatan sektor pariwisata yang berpengaruh terhadap perekonomian masyarakat sekitar objek wisata. Jenis penelitian ini menggunakan metode penelitian deskriptif yang dilengkapi data kualitatif dan kuantitatif baik data primer maupun sekunder. Penelitian ini menggunakan alat Skala Likert untuk menentukan hasil penelitian. Tujuan dari penelitian ini untuk mengetahui gambaran kondisi pariwisata, dan mengidentifikasi dampak yang ditimbulkan dari adanya pengembangan pariwisata terhadap kondisi perekonomian masyarakat sekitar. Hasil dari penelitian ini menunjukkan adanya peningkatan fasilitas, pelayanan objek wisata setelah adanya pengembangan, akan tetapi ada penurunan pada bidang kebersihan dan keamanan. Persentase pendapatan masyarakat mengalami peningkatan yang dihitung menggunakan Skala Likert dari 53,3% menjadi 68,5%, tingkat kesempatan kerja rendah dengan persentase hanya sebesar 29,5%. This study identifies the impact of the tourism development of economic conditions surrounding community. This research was conducted in the village of Dieng, District Kejajar, Wonosobo regency. This research was done because of the rise in visitor attractions and tourism revenue that affect the economy of the surrounding community attraction. This research uses descriptive research method qualitative and quantitative data include both primary and secondary data. This study uses a Likert Scale tool to determine the results. The purpose of this study to describe the condition of tourism, and to identify the impact of the development of tourism on the economy of surrounding communities. The results of this study showed an increase in facilities and services, attraction after their development, but there is a decrease in the field of hygiene and security. The percentage of people's income has increased which is calculated using a Likert Scale from 53.3% to 68.5%, the low employment rate with a percentage of only 29.5%.

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