The Risks in Agriculture, Farmers' Responses and Support Solutions in Nghe An

This study focuses on analyzing the risks that affect in agricultural production and response of farmers. Research data was collected in Nghe An, Vietnam with 200 samples, audited by Binary Logistic Model. The research results show that the main risks affecting agriculture in Nghe An are mainly weather risks, pest risks and economic risks. And to cope with those risks, farmers have chosen a number of response measures, based on the support of the government, that have yielded clear results. The study provides empirical evidence on the current situation of risk identification and how to choose to respond to risks in agriculture, offering solutions to help improve the agricultural risk management framework in Nghe An, Vietnam.

Does economic policy in Nigeria enhance sustainable water and sanitation facilities?

Over the years, economic policy in Nigeria has been a subject of concern for policymakers. The effectiveness of this policy in providing basic necessities for Nigerians has also been in question. There have been several controversies in terms of its implementation and sustainability over the years. In this paper, we investigate the impact of economic policies on providing sustainable water and sanitation facilities in Nigeria. In our analysis, the binary logistic model is adopted to understand how effective these policies are in providing these facilities. The results show that expenditure on social and community service leads to an increase in the use of unsafe sanitation facilities in the country. Furthermore, our study also shows that expenditure in the health services sector helps in reducing the use of such unsafe facilities. From the results, we recommend that policies aimed toward providing sustainable water and sanitation facilities need proper checks, improvement, and effective implementation so as to achieve viable results. These can be done by implementing supervised community projects on sanitation facilities and also by educating local communities through organized symposiums and workshops in rural and certain urban areas in the country.

Logistics Regression Modelling on Student Career Path Choices at the Statistics Department, FMIPA UNM Makassar

Survey of career path that students plan after completing their undergraduate in statistics department was carried out through questionnaire on google form from May 6 to May 24, 2021. There were 114 students who filled out the questionnaire, consisting of 20 students from class 2018, 23 students from class 2019, and 71 students from class 2020. Dependent variable is career path plan (Y), while independent variables are tendency to choose career paradigm (CPC), gender (GDR), Grade Point Average (GPA), parental occupation (POC), number of siblings (NOS), place of birth (POB) and year of university entrance (YOE). The data are analysed by binary logistic model with logit transformation and the result is g ( Y ) = ln [ π ( Y ) 1 − π ( Y ) ] = − 13 , 525 + 2 , 332 ( CPC ) − 1 , 036 ( GDR ) + 4 , 466 ( GPA ) + 2 , 421 ( POC 1 ) − 0 , 405 ( POC 2 ) + 2 , 390 ( POC 3 ) + 0 , 236 ( NOS ) − 1 , 817 ( POB ) + 0 , 448 ( YOE 1 ) − 2 , 660 ( YOE 2 ) Results of the analysis show that predictive power of the model to explain tendency of students to choose career according to statistics is around 34% to 56% based on variables in the model. Beside that tendency of career paradigm choice (CPC), Grade Point Average (GPA), parental occupation (POC1 civil servant), place of birth (POB), and year of entry (YOE2 2019) significantly affect chosen career goals by student.

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

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.

Vulnerability Assessment and Household Preparedness Level to Flood in Ogunpa-Oni Sub River Basin

Flood is a natural event that cause varying degree of losses despite initiatives to mitigate its impact. As the drive to retore normalcy in flood riddle areas increases, concerns about the vulnerability of areas in relation to households’ responses to flood has emerged. This study therefore, identified areas vulnerable to flood; elicit households’ sociodemographic attributes and examine their level of preparedness to flood in Ogunpa and Oni River Basin. A GIS-based approach was adopted along with 121 well-structured questionnaires administered to the respondents. A multi-criteria analysis (that considers slope, rainfall, soil type, DEM and NDVI was adopted), descriptive statistic and binary logistic model was used to achieve the objectives. The results from the vulnerability map revealed varying vulnerability status across Ogunpa and Oni River Basin. In addition, the sociodemographic statistics revealed important variables that influences household decision to prepare for flood. It was also known that factors that drive households to prepare for flood vary across households in Ogunpa and Oni River Basin. The study recommends enlightenment campaign on proper refuse disposal, strengthening of environmental regulatory agency, adoption of participatory approach in the buildup of environmental policy and increasing the level of awareness on the need for insurance policy that covers household against disaster such as flood.

Impact of social, geographic and economic variables on formal financial inclusion for households in Peru and Piura 2019

Reviewing economic theory, to maximize utility, the individual will have to decrease consumption, according to the income they receive and demand financial services to opt for savings, for which the objective was to determine the effect of economic and social variables and geographical areas that affect formal financial inclusion for the department of Piura in 2019. The best binary logistic model was chosen as a method through the lowest AIC and BIC, finding that the best model is the Probit, and the survey was also used as an instrument. national household (ENAHO), resulting in that the education and income variables have a greater direct relationship with the use of some type of financial services, the same happens with married marital status and age but to a lesser extent, in terms of location geographical area the rural area has an indirect relationship with the use of some type of financial services. Keywords: Financial inclusion, Economic Variables, categorical models, financial determinants. References [1]Instituto Nacional de Estadistica e Informatica, «Panorama de la Económia Peruana 1950-2018,» Lima, 2019. [2]A. Sanderson, L. Mutandwa y L. R. Pierre, «A Review of Determinants of Financial Inclusion,» International Journal of Economics and Financial, vol. 8, nº 3, pp. 1-8, 2018. [3]K. Dai Won, Y. Jung Suk y H. M. Kabir, «Financial inclusion and economic growth in OIC countries,» Research in International Business and Finance, vol. 43, pp. 1-14, 2018. [4]Superintendencia de Bancos e Instituciones Financieras Chile, «Informe de Inclusión Financiera en Chile 2019,» 2019. [5]C. Aparicio y M. Jaramillo, « Determinantes de la inclusión al sistema financiero: ¿cómo hacer para que el Perú alcance los mejores estándares a nivel internacional?,» Superintendencia de Banca, Seguros y Administradoras Privadas de Fondos de Pensiones., Lima , 2012. [6]N. Cámara Izquierdo y D. Tuesta, «Factors that matter for financial inclusion evidence from Peru,» Dialnet, vol. 10, pp. 10-31, 2015. [7]M. Jaramillo, C. Aparicio y B. Sevallos, «¿Qué factores explican las diferencias en el acceso al sistema financiero?: evidencia a nivel de hogares en el Per´u,» Superintendencia de Banca, Seguros y Administradoras Privadas de Fondos de Pensiones, Lima, 2013. [8]E. Anchapuri, principales determinantes del acceso al crédito financiero en economías rurales y urbanas del distrito de juli, año 2013, Puno , 2014. [9]Banco Mundial, Banco Mundial. [10]Ministerio de Economía y Finanzas , «Estrategia Nacional de Inclusión Financiera,» Lima , 2015. [11]Superintendencia de Banca, Seguros y AFP, «Reporte de Indicadores de Inclusión Financiera de los Sistemas Financieros, de Seguros y de Pensiones,» Lima, 2019. [12]Banco Central de Reserva del Perú Sucursal Piura , «Caracterización del departamento de Piura,» Piura, 2018. [13]J. Wooldridge, Introducción a la econometría un enfoque moderno, Mexico: Cengage Learning Editores, S.A., 2010, p. 575. [14]D. Gujarati y P. Dawn, Econometría, Mexico: McGRAW-HILL/INTERAMERICANA EDITORES.S.A, 2010, p. 563.

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

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.

FEASIBILITY STUDY OF ORGANIC VEGETABLE FARMING IN BAITADI DISTRICT

Our study was conducted to know the feasibility of organic vegetable farming in Baitadi district along with the current situation of farming. Accelerating use of agrochemicals,higher production cost and deteriorating ecosystem health have advocated the need to change external input use agriculture towards safe and sustainable organic production .Current research emphasize on the constraints and feasibility of organic vegetable production by selecting farmers of Baitadi District.This study adopted a random sampling technique to select the 60 respondent and the collected data were analyzed using descriptive statistics for mean, median, frequency, ranking and trend analysis; binary Logistic model to identify factors determining the decision to cultivate in separate plots for home consumption and market. The study revealed that years of schooling and production for both subsistence and commercial farming were statistically significant for the decision to cultivate in separate plots for home and market consumption. Majority of respondents were Chhetri (46.67%) followed by Brahmin (43.33%).The findings also reveals that majority of the households were male headed (78.33%) and literate (65%). Huge populations (68.33%) were found involved in agriculture followed by others in business, service and pension. Major problems of the study area were lack of knowledge about organic farming, and government intervention. Majority of the farmers are confident that use of chemicals and fertilizers is dangerous for human health and they are consenting to adopt organic farming if technical and credit supports are provided.

Socio-Economic Drivers for Farming Households’ Decision to Conserve Nature around Mount Uluguru, Tanzania

Nature conservation means preservation or restoration of the environment and wildlife. The activity is just beyond someone's will; it is highly influenced by socio-economic factors. This study examined the drivers for farming households to conserve the nature around Mount Uluguru in Morogoro, Tanzania. A survey was conducted in five villages around the Arc Uluguru Mountain, and only 106 respondents were randomly selected. To supplement the information, focus group discussions were held with village leaders and environmental committee members in each village who gave their precious information for analysis. Descriptive analysis was done using frequencies, percentage, and mean for examining characteristics of the sampled population, while the binary logistic model was used to analyze the factors that drive farmers to participate in nature conservation. It was found that farming experience, access to support services and awareness in bylaws and regulations increase the chances of participating in environmental conservation amongst the household members. Also, being a male individual and having old age decreases the chances of engagement to nature conservation activities. The study recommends that, in conservation activities, gender roles should be taken into consideration, as anyone can take charge and participate in nature conservation. Furthermore, more training, materials, and equipment are needed from governmental and NGO’s to help nature conservation in Mount Uluguru.

Rainfall Determines Shallow Soil Seepage in a Piedmont Summer Pasture of Alpine Meadow on the Northeastern Qinghai-Tibetan Plateau

The soil seepage is an important component for quantifying hydrological processes while remains unclear in high-altitude alpine meadows. The shallow soil seepage was continuously measured by an auto-logged micro-lysimeter (diameter = 30 cm, depth = 30 cm) from July 2018 to June 2019 in a piedmont summer pasture of alpine meadow on the Northeastern Qinghai-Tibetan Plateau. The results showed that all the shallow soil seepage events occurred during the non-frozen period from April to September and the accumulative amount was 106.8 mm, which consumed about 1/5 annual precipitation. The maximum and minimum monthly soil seepage was 30.7 mm in September and 1.0 mm in April, respectively. The binary Logistic model revealed that daily half-hour rainfall frequency (R2 = 0.37, individual explanatory power) and amount played significant roles in the daily soil seepage odds (R2 = 0.50). The best subsets regression analysis showed that the same-day rainfall amount (R2 = 0.59), the first 3-day rainfall frequency, and the first 4-day solar radiation accounted for 73% of variations in the daily soil seepage amount. Monthly soil seepage correlated with monthly rainfall frequency significantly (R2 = 0.74, p = 0.005). Our results highlighted that precipitation, including its amount and frequency, was the key determinant of the probability and amount of the shallow soil seepage in the piedmont summer pasture of alpine meadow. These findings would be helpful for improving predictions of the water budgets of piedmont alpine meadows.