Factors Affecting Shift from Paddy to Maize Cultivation in Punjab

2021 ◽  
pp. 170-175
Keyword(s):  
Decision Maker ◽  
Logistic Model ◽  
Primary Data ◽  
Wheat Crop ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Maize Cultivation ◽  
Block Level ◽  
Price Instability ◽  
Binary Logistic Model

Maize is one of the most suitable replacements of paddy in Punjab. The primary data for 2015-16 of paddy, maize, and wheat crop from five Punjab districts (Hoshiarpur, Jalandhar, Rupnagar, SAS Nagar and SBS Nagar) was collected from 300 sample farm households. The binary logistic model was constructed, and among the six most relevant explanatory variables availability of hired labour was found to be negative and significant statistically, whereas the educational level of decision maker was statistically nonsignificant. The participation in block-level camp/Kisan Mela/lecture attended by the decision maker was positive and significant statistically, and water availability on the diversified farm was negative and significant. Like the assured market and experience of the decision maker, the other variables were positive but non-significant. The farmers' non-diversification was found to be price instability, the menace of animals, lack of awareness regarding government programmes, non-availability of mechanisation for dehusking of the kernels.

scholarly journals Assess the Impact of the COVID-19 Pandemic and Propose Solutions for Sustainable Development for Textile Enterprises: An Integrated Data Envelopment Analysis-Binary Logistic Model Approach

2021 ◽  
Vol 14 (10) ◽  
pp. 465
Author(s):  
Han-Khanh Nguyen ◽  
Mai-Nam Vu
Keyword(s):  
Data Envelopment Analysis ◽  
Textile Industry ◽  
Logistic Model ◽  
Business Performance ◽  
Data Envelopment ◽  
Factors Affecting ◽  
Dea Models ◽  
Binary Logistic Model ◽  
The Impact ◽  
Model Approach

The COVID-19 pandemic impacted many socio-economic areas of countries around the world. It has made the production and business situations of enterprises face substantial difficulties. In this study, the authors used data envelopment analysis (DEA) models to assess the impact of the COVID-19 pandemic on Vietnam’s textile and garment enterprises. The authors have used the binary logistic model to determine the factors affecting employees’ decision to change jobs in the textile industry. The research results showed that the COVID-19 pandemic greatly affected the business performance of the textile and garment enterprises in Vietnam. Moreover, the results helped identify the factors affecting employee turnover and proposed solutions to help businesses stabilize their personnel situation and develop sustainable businesses in the post-COVID-19 era.

scholarly journals Factors affecting farmers’ willingness to adopt crop insurance to manage disaster risk: evidence from Bangladesh

2021 ◽  
Vol 24 (3) ◽  
pp. 463-479
Author(s):  
Din Il Islam ◽  
Airin Rahman ◽  
M. Sazzadur Rahman Sarker ◽  
Jianchao Luo ◽  
Hu Liang
Keyword(s):  
Agricultural Sector ◽  
Crop Insurance ◽  
Risk Attitude ◽  
Multinomial Logit Model ◽  
Primary Data ◽  
Management Tools ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Willingness To Adopt ◽  
Loan Size

Climate change and climate-related disasters have had a major impact on agriculture and agricultural livelihoods in Bangladesh, threatening the food security of the entire nation. Non-structural measures such as crop insurance have been recommended as risk management tools for farmers but have not been implemented because of a lack of supporting policies, expertise, and lack of information about farmers’ willingness to adopt such strategies. This study aims to fill that research gap by exploring the factors influencing agricultural producers to purchase crop insurance. Primary data were collected from three districts (Mymensingh, Barisal, and Comilla) that are prone to flooding. A multinomial logit model was adopted to investigate the relationships among dependent and explanatory variables. The results indicate that age, loan size, distance from the major river, farming experience, farming type, and risk attitude affect farmers’ willingness to pay for crop insurance. Government subsidies and increased awareness of the benefits of crop insurance could improve the outlook for the agricultural sector and help medium and subsistence farmers maintain their livelihoods. The results also provide valuable guidance for local, national, and international stakeholders.

scholarly journals Factors Affecting The Food Security of The Bajo Community Households In West Muna District During The Covid-19 Pandemic

HABITAT ◽  
2021 ◽  
Vol 32 (2) ◽  
pp. 74-81
Author(s):  
Muhammad Limi ◽  
Munirwan Zani ◽  
Selvi Selvi
Keyword(s):  
Food Security ◽  
Sample Size ◽  
Logistic Model ◽  
Total Sample ◽  
Household Food Security ◽  
Factors Affecting ◽  
Household Food ◽  
Binary Logistic Model ◽  
The Village ◽  
Selection Of

This study aims to determine the factors that affect the household food security of the Bajo community in Napano Kusambi Sub District. The research was conducted in Napano Kusambi Sub District, West Muna District, the selection of the research location was carried out deliberately (Purposive), with the consideration that the village is a coastal village with many Bajo community settlements, most of whom work as fishermen. The population in this study were all the Bajo people in Napano Kusambi Sub District, namely 180 families, with a total sample size of 64 respondents using the Slovin formula. To answer the objective, a binary logistic model is used. The results showed that based on the binary logistic test, the factors that significantly influenced household food security of the Bajo community in Napano Kusambi Sub District, West Muna District were income, age of the head of the household, and the age of the housewife.

scholarly journals Logistic Regression to Evaluate the Marketability of Pepper Cultivars

Agronomy ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 125 ◽  
Author(s):  
Manuel Díaz-Pérez ◽  
Ángel Carreño-Ortega ◽  
José-Antonio Salinas-Andújar ◽  
Ángel-Jesús Callejón-Ferre
Keyword(s):  
Logistic Regression ◽  
Relative Humidity ◽  
Fruit Quality ◽  
Logistic Model ◽  
Sweet Pepper ◽  
Continuous Variables ◽  
Statistical Tool ◽  
Explanatory Variables ◽  
Fruit Samples ◽  
Binary Logistic Model

The goal of this paper is to show that logistic regression is an analytical method of interest to evaluate the marketability of different pepper (Capsicum annuum L.) cultivars. Two studies were conducted on “Italian sweet” pepper cultivars. Fruit samples were introduced in storage chambers and kept at 9 °C and 85–95% relative humidity during the study period. The fruits were evaluated individually and periodically by measuring the deterioration of fruit quality (rot, ageing, etc.). In this study, categorical explanatory variables (rot, etc.) and continuous explanatory variables (days of storage) were integrated and combined to determine the probability of marketability of the fruit. The results show that the binary logistic model is a useful statistical tool to analyse together both categorical and continuous variables in the study of the marketability of pepper cultivars.

Analisis Partisipasi Petani dalam Asuransi Pertanian

2019 ◽  
Vol 2 (6) ◽  
pp. 793
Author(s):  
Mega Nabilla Ardiana ◽  
Ivanovich Agusta
Keyword(s):  
Program Implementation ◽  
Education Level ◽  
External Factors ◽  
Primary Data ◽  
Agricultural Insurance ◽  
Factors Affecting ◽  
Participation Level ◽  
Regression Test ◽  
Internal And External Factors ◽  
Program Data

Farmers participation is crucial for succeeding in the implementation of agricultural insurance in Indonesia. The purposes of this research are analyzing farmers' form and level of participation and also identifying some factors affecting farmer’s participation in agricultural insurance. The research was conducted in Curug Bitung Village, District of Nanggung, Bogor Regency involving 40 respondents. Primary data includes farmers characteristics, farmers participation form and farmers participation level as program beneficiaries. The data were processed using multivariable linear regression test. The results showed that the intensity of communication, age, education level, income level and length of stay did not significantly affect the participation level of farmers whose majority were at the level of no participation. Non-compliance occurs during program implementation. The form of participation shown by farmers in the program is varied.Keywords:  agricultural insurance, internal and external factors, farmers' participation ABSTRAK Partisipasi petani menjadi hal yang penting dalam rangka menyukseskan penerapan asuransi pertanian di Indonesia. Tujuan penelitian ini adalah menganalisis bentuk dan tingkat partisipasi petani dalam asuransi pertanian serta mengidentifikasi faktor-faktor yang memengaruhi partisipasi petani dalam program asuransi pertanian. Penelitian dilakukan di Desa Curug Bitung, Kecamatan Nanggung, Kabupaten Bogor dengan melibatkan 40 responden. Data primer meliputi karakteristik petani, bentuk partisipasi petani dan tingkat partisipasi petani penerima program. Data diolah menggunakan uji regresi linier multivariable. Hasil penelitian menunjukkan intensitas komunikasi, usia, tingkat pendidikan, tingkat pendapatan dan lama tinggal tidak berpengaruh secara signifikan terhadap tingkat partisipasi petani yang  mayoritas berada pada tingkatan tidak ada partisipasi. Ketidaksesuaian banyak terjadi selama penyelenggaraan program. Adapun bentuk partisipasi yang ditunjukkan petani dalam program bervariasi.Kata kunci: asuransi pertanian, faktor internal-eksternal, partisipasi petani

Bantuan Hukum Cuma-Cuma Bagi Tersangka yang Tidak Mampu Pada Tingkat Penyidikan

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Rio Saputra ◽  
Mokhammad Najih
Keyword(s):  
Secondary Data ◽  
Primary Data ◽  
Legal Aid ◽  
Criminal Cases ◽  
Legal Research ◽  
Factors Affecting ◽  
Legal Structure ◽  
Procedure Code ◽  
Study Techniques ◽  
The Right

<p><em>Suspects have the right to obtain legal assistance, especially for suspects who are classified as economically disadvantaged in accordance with Article 56 of the Criminal Procedure Code (KUHAP). The facts show that there are many irregularities in the implementation of legal aid, therefore it is necessary to know about the implementation of free legal aid for suspects who are incapacitated at the level of investigation and the factors that become obstacles in the implementation of legal aid. This legal research is an empirical legal research and this research is descriptive in nature. The data used are primary data and secondary data. The techniques used to collect data were document study techniques and interview techniques. Inhibiting factors affecting the implementation of free legal aid for suspects who are unable at the level of investigation can be classified and differentiated into 3 factors, namely, legal substance, legal structure, and legal culture).</em></p><p><strong><em>Keywords: </em></strong><em>Legal Aid, Criminal Cases</em></p>

Role of Finance in Resource use Efficiency and Constraints in Banana Cultivation in Uttar Pradesh

2020 ◽  
pp. 437-441
Keyword(s):  
Resource Use ◽  
Uttar Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Resource Use Efficiency ◽  
Regular Source ◽  
Block Level ◽  
Use Efficiency ◽  
Secondary Information

The study was conducted using purposive cum random sampling technique and two hundred respondents comprised of 100 each borrowers and non-borrowers were selected from two block of district including marginal, small and medium categories of farm size. Primary data were collected through personal interview technique and required secondary information was taken from the record available at district and block level. Simple tabular and functional analysis and Garrett ranking were done to draw inferences. As per the result obtained from the study, no much difference was seen between the resource use efficiency of borrower and non-borrower farms and constraints faced by borrower. Since banana is a cash crop and it needs initial costs for its establishment, and after harvesting the crop regular source of income was generated by selling of suckers (seed) plant and its fruits. It’s by-product, leaves, etc. also used for various purposes. Minute inspection of the analysis showed that finance played important role for initiating the cultivation of banana crops showed the resource use efficiency that there is no considerable difference found on sample farms of borrower and non-borrower categories. Constraints faced by majority of the farmers were mainly delay in disbursement of loan and lack of the repayment period insufficient and improper management for withdraws on KCC.

Analysis of Single-Vehicle Crash Injury Severities in Urban River-Crossing Road Tunnels

2015 ◽  
Vol 743 ◽  
pp. 526-532 ◽  
Author(s):  
C.M. Jiang ◽  
J.J. Lu ◽  
L.J. Lu
Keyword(s):  
Heavy Vehicles ◽  
Probit Regression ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Urban Road ◽  
Road Tunnels ◽  
Negative Effect ◽  
Single Vehicle ◽  
Injury Severities ◽  
One Year

Based on the originally unprocessed data from the Official Platform of“110”Alarming Receiving Center (OP110ARC) of Shanghai Public Security Bureau (SPSB), 529 single-vehicle crashes reported during one year and a half which happened at the thirteen urban road tunnels going across the Huangpu River are used in this study. To investigate the factors affecting the crash influence severity levels, ordered probit regression is established. Several categories of factors are considered as explanatory variables in the models. The study finds that the entrance of the tunnels is the site where severe injury crashes trend to occur. Rainy and snowy days impose vehicles and motorists driving via the tunnel sections in danger. Tunnels with a low speed limit (40 km/h in this study) may be not as safe as we thought before. Two-wheel vehicles without sufficient physical protection for its drivers and heavy vehicles also show a negative effect on the operation safety of single-vehicle at these studied tunnels. Alcohol involved drivers are more likely to suffer from a severe crashes and gets badly hurt.

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