Binary Logit Analysis Research Articles

ANALISIS PROBABILITAS PEMILIHAN MODA PUBLIC BOAT DAN FAST BOAT RUTE PENYEBERANGAN BANGSAL – GILI INDAH

The most popular modes of transportation on the crossing from Bangsal Harbor to Gili Indah are public boats and fast boats. The respective advantages and disadvantages of these two modes are that fast boats excel in fast travel times, while public boats excel in cheaper travel costs. The aim of this research is to obtain factors that influence passengers' decisions in choosing a mode, to find out user characteristics and to obtain the probability that passengers choose public boats and fast boats.Data was obtained from the results of a questionnaire using the stated preference method which offers 7 change scenarios and related choices such as cost (X1), travel time (X2), and waiting time (X3) regarding the choice of public boat and fast boat modes (Y). The results of the choices of public boat and fast boat users will be known through the proportion of public interest in each scenario. Factors that influence mode choice can be identified using multiple linear regression analysis. Then a binary logit analysis of the difference is carried out to obtain the probability of mode choice. The research results show that the utility function equation is Y = -0.3864 – 0.04299X1 – 0.06177X2 – 0.02577X3. Factors that influence passengers' decisions in choosing public and fast boats are cost (X1), travel time (X2), and waiting time (X3). Using the binary logit difference method, the probability of choosing the mode for the Bangsal-Gili Indah crossing route is public boat 79% and fast boat 21%.

Adoption of sustainable farming practices in Vietnam: A discourse of the determining factors

To delve into the intricacies of sustainable agricultural practices, our study investigates both the behavioral and non-behavioral factors influencing farmers' decision-making processes. Employing the New Ecological Model (NEP) to capture social factors, our research framework integrates insights from the sustainable livelihood framework, which delineates five crucial types of livelihood capital: (1) human capital, (2) natural capital, (3) financial capital, (4) physical capital, and (5) social capital. This comprehensive approach enables us to incorporate additional non-behavioral factors and their impacts on farmers' decisions. We underscore the pivotal role of farmers' decisions in fostering sustainable agriculture, aligning with seven of the Sustainable Development Goals (SDGs). Leveraging survey data collected from 303 Vietnamese farmers, we validate our research framework using two analytical models: Structural Equation Model (SEM) and binary logit analysis. Our findings underscore the significant influence of farmers' risk propensity and concerns regarding food safety and environmental conservation on the adoption of organic farming practices. Notably, farmers' level of knowledge emerges as a critical determinant shaping their inclination towards sustainable agriculture. The study underscores the importance of targeted educational initiatives and awareness campaigns, identifying key determinants such as proximity to green spaces and farm size in shaping farmers' choices towards sustainable practices.

Farmer’s Perception and Efficacy of Adaptation Strategies to Climate Change in North Eastern Transition Zone of Karnataka State in India

A primary survey during the year 2021-22 was carried out among the 240 farmers of Bidar and Gulbarga districts of North Eastern Transition Zone in Karnataka to study the farmer’s perception on climate change for the period 1979 to 2019 and validate their opinions with the change in the meteorological indicators. About 74 percent of farmers expressed that there is a decline in crop yield while 83 percent of farmers opined that is a shift of employment from farm to non-farm activities during the period of forty years. Farmers practice various farm adaptation strategies activities to overcome the effect of climate change. Through Garatte ranking, it is revealed that most of the farmers prefer to practice alteration of sowing dates of crop (rank 1) as adaptation strategy followed by using of drought tolerant varieties (rank 2) and mixed cropping (rank3). Binary Logit analysis was used to identify the socio- economic attributes of households influencing the adoption of adaptation strategy to climate change. The results showed that, the variables like farm size, access to institutional credit, live stock ownership and climate information are the factors which positively shows significant influence on adoption. Economic incentives play an important role in the adoption of modern technologies. Access to institutional credit will support the farmers financially in adopting water conservation techniques like farm ponds, micro irrigation products.

Effect of populism on the internationalization of emerging market firms

PurposeThis paper aims to determine whether policy uncertainty caused by institutional decay in countries with populist rulers influences the internationalization decision of emerging market firms (EMFs).Design/methodology/approachThe study used binary logit analysis on firms from Latin American countries undertaking cross-border greenfield investment projects.FindingsThe results suggest that internationalization decision is demotivated by policy uncertainty generated by populist chief executives and promoted by that of political parties.Originality/valueThis study uses populist rhetoric to describe policy uncertainty due to chief executives and ruling parties, which influences internationalization decision by increasing anticipated transaction costs. This inquiry identifies populism as a variable that influences EMFs to internationalize, while empirically testing the claim of theoretical scholarship that populism reconfigured the sociopolitical and institutional forces that shape the world’s business. This study further advances institutional theory by offering a fresh perspective on the influence of home instead of host-country institutions on the internationalization motivation of firms due to institutional decay caused by populist regimes.

Parametric Study on the Influence of Pedestrians' Road Crossing Pattern on Safety

Objective: The present research concentrates on studying the road crossing time of pedestrians based on their pattern of the road crossing. The factors that influence the road occupancy time due to the irregular road crossing patterns of pedestrians have been studied. Methods: The research used a videographic survey of three midblock locations with different land-use types. The pedestrian variables from the video data are extracted to excel using a custom-made video player. The data set consists of 8718 pedestrian data, including all three sites, and the data is analysed using statistical methods. A binary logit analysis is performed to predict the variable influencing the crossing time High/Low. Results: According to the analysis, females making path changes and an increase in stage number show a higher road crossing time for pedestrians. Also, the absence of motor vehicles results in a higher road crossing time for pedestrians. The prediction accuracy of the model is 58.2%, and a variance of 6% shows a lesser degree of spread in the dataset. Conclusion: The inference from the study is that the crossing time of path-changing pedestrians is more than straight-moving pedestrians. Thus, an increase in road crossing time decreases the safety of pedestrians by increasing the exposure rate while crossing the road. So, the probability of safety risk is high when they practice irregular road crossing patterns.

Estimation of Cross Classified Value of Travel Time Using Binary Logit Model on Egyptian Roads

Objective: In this study, cross-classified categories of Value of Travel Time (VOT) are estimated using the binary logit model for the users of both public and private vehicles who have diverse income levels and go on different trips. The travelers’ income level has a large impact on their VOT and on their willingness to pay regarding other factors that impact the travelers’ choice of the most suitable means of transport for them. Methods: The research uses the combined stated and the revealed preference survey and applies the logistic regression analysis to estimate the categorized VOT on Egyptian roads. The data sets consist of 1123 respondents who were approached to collect information related to the socio-economic factors and the trips’ characteristics. Each respondent was requested to choose an alternative to each of the choice sets’ levels. All data sets were collected in light of the Binary Logit analysis and recorded concerning the socio-economic factors. A total of 33 models were developed to predict the VOT. Results: According to the given analysis, VOT for private car owners (32.5 LE/HR about 2.06 $/ HR) is higher than that for public transport users (18.3 LE/HR about 1.16 $/ HR) in Egypt. As for the diverse income level groups, a positive correlation is found between each traveler and his/her income. To clarify, the travelers’ VOT increases when their income levels improve. Conclusion: Concerning the purpose of the trip, the VOT reaches its peak for travelers who travel for the sake of work as their VOT is approximately 38.82 LE/HR, about 2.47$/HR compared to the other travelers who have different traveling purposes other than doing business.

ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI LADA DI KECAMATAN ABUNG BARAT KABUPATEN LAMPUNG UTARA

The purposes of this research are to find out the income of pepper farming, household income, level of household welfare, and factors that affect the welfare of pepper farmer households in Abung Barat Sub-District. The location was determined purposively with the consideration that Abung Barat Sub-District is the center of black pepper production. The number of respondents in this research is 63 respondents taken randomly. Data were collected from April to May 2019. The analytical methods used are farming analysis, the analysis of Sajogyo and Subyective welfare levels, and binary logit analysis. The results showed that average income of pepper farming is IDR8,356,590.51/year, average household income is IDR20,055,616.61/year, based on the criteria of Sajogyo 61.90 percent of the respondent pepper farmer households are included in the sufficient category, and based on the criteria subyektif that 68.25 percent of pepper farmer households are included in the sufficient category. The factors that influence the level of household welfare of pepper farmers are the number of family members and income.Key words: farmers income, pepper, welfare

INDIKATOR KOLEKTIBILITAS KREDIT JOINT FINANCING MENGGUNAKAN OLS & LOGIT

This study aims to determine indicators that have a significant effect on debtor collectability. The number of sample data used is 102 joint financing debtors whose loans were realized in 2019, which consists of two groups of 51 debtors that have current and non-current collectability. The analytical method used is the ordinary least square method and the logit regression method, where the combination of the two analytical methods being used at once was not yet found in previous studies. The analysis result using ordinary least squares shows three (3) significant indicators that affect collectability, namely term of the loan, value of collateral and monthly liabilities, with a significance level of 0.05. Meanwhile, the binary logit analysis results in four (4) significant indicators, namely term of the loan, value of collateral and monthly liabilities with a significance level of 0.05 and level of job risk with a significance level of 0.10. The R-squared value in the ordinary least square is 41%, which means that the ten indicators in this study simultaneously affect the collectability variable, while 59% is influenced by other variables not included in this study. The analysis using the logit regression method shows an R-square value of 39% which can be said that the ten indicators altogether affect debtor collectability by 39%.

How Ostrom's design principles apply to large‐scale commons: Cooperation over international river basins

AbstractMany conventional studies on common‐pool resources (CPRs) have examined the governance of local resources such as fisheries, forests, grazing systems, irrigation systems, agriculture, water resources, and land tenure. However, a limited selection of recent studies has been interested in large‐scale commons such as climate change, air pollution, and transboundary disputes. Despite Ostrom's design principles (DPs) providing a robust framework for solving CPR problems, there have been relatively few empirical challenges examining the effect of DPs on CPRs, especially in the large‐scale commons. This paper examines how Ostrom's DPs are applied to international commons that may cause complicated disputes among states. The case being studied is international rivers as international commons. Based on binary logit analysis, this research found that four of Ostrom's DPs—clear boundary, operational rules, monitoring system, and multi‐level governance—are positively associated with success in managing the international river commons (IRCs) as a CPR. Additionally, the results from fuzzy‐set Qualitative Comparative Analysis (QCA) partially indicate that the co‐occurrence of monitoring, conflict mechanisms, and multi‐level governance would lead to more successful IRCs.

How perceptions and information about women’s descriptive representation affect support for positive action measures

Based on the German Longitudinal Election Study (2016), we explain citizens’ support for measures to increase women’s descriptive representation in parliament. Despite women’s underrepresentation, we find little support for positive action measures, and in particular for legal gender quotas. Binary logit analyses show that support for the introduction of positive action measures is not affected by citizens’ perceptions about the share of female members of parliament. However, experimental data reveal that receiving information about women’s actual proportion in parliament has an impact on citizens’ support for gender quotas, in particular among those who overestimate women’s representation. Once they learn that the actual share is lower than they thought, they are more likely to support the introduction of quotas. This indicates that support for positive action measures can be changed through providing the correct information.

Farmers’ Assessments of Their Cooperatives in Economic, Social, and Environmental Terms: An Investigation in Fujian, China

This study is the first to empirically investigate whether farmers’ assessment of their cooperatives’ environmental efforts is related to their satisfaction with the cooperatives, in addition to their assessment of the cooperatives in economic and social terms. A survey was conducted among a randomly selected sample of 211 members of 63 farmer cooperatives in Fujian Province, China. Binary logit analyses were conducted to test three theoretically derived hypotheses. There was a positive relationship between member satisfaction with the cooperatives and farmers’ assessment of the cooperatives’ environmental actions, although the cooperatives’ economic and social contributions were even more appreciated. Consequently, at least under the prevailing circumstances, member satisfaction with their cooperatives is positively associated with the farmers’ view of the environmental ambitions of their cooperatives.

Online versus offline: preferred retail choice for premium brand purchase

PurposeThis exploratory study aims to examine the prevalent triggers that motivate a premium brand purchase in an online vs offline retail format.Design/methodology/approachA binary logit analysis is used to build a predictive model to assess the likelihood of the premium brand consumer seeking an online or an offline platform. Demographic and usage-based profile of the two set of consumers is established through a chi-square analysis.FindingsThree hundred and forty six urban consumers of premium branded apparels residing in two Indian Metros were studied. A predictive model with 89.6% accuracy was validated for distinguishing premium brand buyers who shop at brick-and-mortar store or online platforms. Quality and finish were factors sought by the online buyer, whereas autotelic need, pleasurable shopping experience and social approval were important triggers for an in-store purchase.Research limitations/implicationsThe study posits divergent demographics and motivational drivers that led to an online vs offline purchase. Though interesting and directional, the study results need to be examined across geographies and categories for establishing the generalizability of the findings.Practical implicationsThe study findings indicate that premium brand manufacturers can devise an omni-channel strategy that is largely tilted toward the online platform, as the quality conscious and brand aware consumer is confident and thus open to an online purchase. The implication for the physical outlet on the other hand is to ensure exclusive store atmospherics and knowledgeable but non-intrusive sales personnel.Originality/valueThe study is unique as it successfully builds a predictive model to forecast online vs offline purchase decisions among urban millennials.

Effect of Individuals’ Green Purchasing Behavior, Consumption and Environmental Awareness (The Case of Manisa Province of Salihli District)

Amaç: Çevre bilincine sahip bireylerin satın alımlarında, doğal kaynakları tüketmeyen, insan sağlığına önem veren çevre dostu ürünleri tercih etmeleri, piyasada çevre dostu ürün olarak adlandırılan yeşil gıda ürünlerinin ön planda olmasını sağlayacaktır. Bu nedenle bireylerin satın alım tercihlerini belirleyen faktörlerin araştırılması, çevre bilinç düzeylerinin analiz edilmesi çalışmalarda önemli rol oynamaktadır. Materyal ve Yöntem: Bu araştırmada, Manisa İli Salihli merkez ilçesinde yaşayan 400 birey ile yapılan anketler sonucunda elde edilen veriler eşliğinde, bireylerin yeşil gıda satın alma davranışı, tüketimi ve çevre bilincine etkisi incelenmiştir. Araştırma Bulguları: Araştırma bulgularına göre, bireylerin %55.75’inin yeşil gıda ürünü hakkında bilgi sahibi olmadığı gözlenmiştir. Yeşil ürün kavramını “insan ve çevre dostu ürünler” olarak tanımlayan bireylerin %40.00’ının çevre dostu olan yeşil gıdalar için %1-5 aralığında fazladan ödeme yaparak almaya razı oldukları belirlenmiştir. Bireylerin yeşil ürün olmasına en fazla dikkat ettikleri ürün grupları gıda ve temizlik ürünleridir. Bireylerin çevreye duyarlılıklarının belirlenmesi için Faktör analizi, yeşil gıda ürünü tüketimini etkileyen faktörlerin belirlenmesi içinde Binary Logit Analizi uygulanmıştır. Sonuç: Araştırma sonucunda yeşil gıda ürününü tanıma durumu ile eğitim durumu, gelir grubu ve yaş grubu arasında istatistiki olarak anlamlı bir ilişki olduğu gözlenmiştir. Araştırma sonucu doğrultusunda Manisa İli Salihli İlçesinde bireylerin satın alım ve tüketimlerinde yeşil gıda ürünü ve çevre bilinci konusunda duyarlı oldukları ve çevreyi, doğayı ve sağlığı korumaya istekli oldukları görülmektedir.

Residents' attitudes towards tree care programs in cityscapes

Purpose: Examine residents’ attitude towards urban trees from the perspective of funding or voluntarily contributing time for tree care programs. Majority of global populace live in cities, hence, the rise in public expectations for liveable, sustainable and greener communities and urban areas all over the world, Nigeria inclusive. With proper planning and management, cities may become more liveable, but the rapid loss of large urban green areas cause havoc, and has ushered in several problems such as adverse climatic condition, reduced water and air quality, amongst others. Metodology: A questionnaire survey was conducted to understand how residents rank and rate the benefits of urban trees as well as individual willingness to support conservation initiatives, using Benin metropolis, Nigeria as a case study. Findings: Using binary logit analysis, the study identified that residents who are aware of ecosystem services, had a profession and have spent at least 20 years in the city, had a significant relationship with personal willingness to volunteer time and/or donate money toward urban tree care programs and activities. Contribution to knowledge: Provided quantitative information to demonstrate the importance of conserving trees in development projects towards Global SDGs.

ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI TEBU RAKYAT DI KECAMATAN BUNGAMAYANG KABUPATEN LAMPUNG UTARA

The objectives of this research were to find out the income of sugar cane farming, household income of sugar cane farmers, household welfare level, and factors that affect the welfare level of sugar cane farmer households in Bungamayang Sub-District. The location was determined purposively, considering that Bungamayang Sub-District has been the center of sugar cane production in North Lampung Regency. The number of respondents in this research were 54 farmers taken randomly. Data were collected in April -May 2019. The analytical method used for the first and second objectives was farm analysis, the third objective used Sajogyo welfare level analysis and the fourth objective used binary logit analysis. The study shows that average income of sugar cane farming is IDR23,161,313.80/hectare. Average annual household income is IDR44,295,593.33 and the contribution of sugar cane farming income to household income is 57.52 percent. Based on the criteria of Sajogyo, sugar cane farmer households are included in the sufficient category. Household income positively affects welfare level, while the number of family members negatively affects the welfare level of sugar cane farmers in Bungamayang Sub-District.Key words: farmer households, income, sugar cane, welfare level

Predicting the Financial Failures of Manufacturing Companies Trading in the Borsa Istanbul (2007-2019)

This study aims to develop financial failure prediction (FFP) models by utilizing the firm-specific financial ratios and variables related to the stock market and macroeconomic indicators for Turkish manufacturing corporations, which traded stocks on the Borsa Istanbul between 2007 and 2019. The statistical methodology utilizes binary logit analysis to construct FFP models for less restrictive assumptions and the most relevant independent variables every three years before the financial failure. Model scores are built for the sector groups: “Production and Manufacturing”, “Trade and Transportation”, and “IT and Administrative Services”. Companies data are further divided into two subsets for each sector: training (60% samples) and test models (40%). After the factor analysis exercise performed at the initial stage, liquidity, leverage, and profitability ratios are found to be the important financial factors in the model predictions. Besides, macroeconomic and stock market variables such as non-performing loans-to-total loans ratio, loan interest rates, and BIST industrial index are also observed to be critical factors in the financial failure prediction model. In the next stage and subsequent to the application of the stepwise logistic method, the reduced financial ratios regarding the leverage and profitability along with only the Borsa Istanbul industrial index are observed as the most effective contributive variables in predicting an accurate model before one, two, and three-year prior to the financial failure in across the three sub-sectors. The test sample’s predictive power strongly validates the high classification results obtained from the trained model within each sub-sector.

Üreticilerin Kimyasal Gübre Kullanım Bilinç Düzeylerinin İncelenmesi: Tokat Merkez İlçe Örneği

Verimlilik sadece tohum ile değil toprağında verimliliği ile gerçekleşebilir. Bunun için toprağın verimine etki eden olumsuz faktörler toprak analizi ile belirlenip uygun gübreler kullanılarak giderilebilir. Bu durumda kimyasal gübre kullanım bilinci ve zararlarının bilinmesi çok önemlidir. Buradan yola çıkılarak üreticilerin kimyasal gübre kullanım alışkanlıklarının incelenmesi bu araştırmanın temel amacını oluşturmaktadır. Üreticilerin bilinçli gübre kullanıp kullanmadıkları belirlemek, fazla kimyasal gübre kullanımının toprağa zararlı olup olmadığını üreticilerin bilip bilmediğini ortaya koymak ve bu bilgiyi etkileyebilecek sosyodemografik özellikleri binary logit analizi ile test etmek araştırmanın hedefleri içindedir. Oransal örnekleme yöntemi ile belirlenen 145 üreticiye anket uygulanmıştır. Araştırma kapsamında görüşülen üreticilerin yaş ortalaması 52 ve %59.31’u ortaokul mezunudur. Üreticilerin kimyasal gübre tecrübesi 23.8 yıldır. Üreticilerin %86.21’i kimyasal gübreyi verimi artırdığı için tercih etmektedir. Üreticilerin yarısından fazlası (%62.76) gübre miktarının sürekli artması halinde bu durumun verimi artırmayacağı görüşündedir. Binary logit analiz sonucunda; üreticilerin sosyo-demografik özelliklerinin istatistiki olarak etkili olmayıp, üreticinin kimyasal gübrenin toprağa verdiği zararları (tuzlulaşma, ağır metal riski, besin maddesi dengesizliği gibi) bilmesi (farkındalıkla) ile ilişkili olduğu ortaya koymuştur.

Impact of high-speed rail on social equity in China: Evidence from a mode choice survey

This paper investigates two fundamental questions related to the social impact of high-speed rail (HSR): (1) does the development of HSR infrastructure lead to the exclusion of certain social groups? and (2) what factors exclude certain users from using HSR? Based on a comprehensive survey of 4,924 passengers who chose conventional rail services in China, both binary and multinomial logit analyses were conducted to examine to what extent the mode choice of passengers who departed from Chongqing was affected by various factors, including socioeconomic and train service conditions. The analyses reveal that factors such as fare, travel habits, trip distance, and onboard amenities play significant roles in whether passengers choose conventional rail over HSR. Conversely, the study shows that lower incomes and education levels are associated with higher odds of choosing conventional trains over HSR by 24.1% and 25.3%, respectively. Furthermore, the study shows that the preference of conventional rail to HSR varies among different regions in China. In particular, people were found to prefer less to choose conventional trains in the west and central regions than the east region when the HSR service becomes available. Such a pattern suggests that HSR as a new mode of intercity travel, has become a preferred mode for many people, even for those in the less developed regions in China. However, some passengers from less developed western provinces were also found to have a stronger sense of being excluded from using HSR, given the concerns of high fares and personal perception of cities that the system serves. Overall, this study provides important implications for planning and policy-making to achieve sustainable operations and the development of the passenger rail system.

Estimating the cost of two-wheeler road accident injuries in India using the willingness to pay method

ABSTRACTFinancial loss due to road traffic accidents is very huge in India; yet, remarkable studies were not done to quantify the loss. In this study, an effort is made through a Stated Preference (SP) survey to know how users value the safety. The amount of money that the road users are ready to contribute for a secured transportation facility is derived from these data. The SP data were collected from two-wheeler riders in Calicut, Kondotty and Manjeri. Attributes included in the SP experiment were time and cost of travel and number of traffic accidents in a year and the WTP values are calculated through binary logit analysis. It was observed that travel cost, accident rate of the route selected, age, occupation, personal income and number of household members have significant impact on the decision-making process. WTP value of a road accident for a two-wheeler user was found to be Rs 0.4232/person/trip.

Fındık Üreticilerinin Tarım Sigortası Yaptırmaya Yönelik Davranışları ve Bunu Etkileyen Faktörlerin Belirlenmesi: Giresun İli Bulancak İlçesi Örneği

Bu araştırmada amaç, Giresun İli Bulancak İlçesi fındık üreticilerinin tarım sigortası yaptırma durumları ve fındıkta sigorta yaptırmayı etkileyen bazı faktörlerin belirlenmesidir. 138 üretici ile çalışılmıştır. Bölgede fındık üretim alanlarında don, dolu ve rüzgârdan dolayı sık sık ürün kayıplarıyla karşılaşılmaktadır. Araştırmaya dâhil olan fındık üreticilerinin %97,83‘ü doğal afetle karşılaşmış ve kayba uğramıştır. Üreticilerinin %84,78‘i tarım sigortası hakkında bilgi sahibidir. Ancak çoğu (%60,87) tarım sigortası yaptırmamaktadır. Bu araştırmada tarım sigortası yaptırmada etkili olan faktörler Binary Logit analizi ile test edilmiştir. Üreticilerin sigorta yaptırmada istatistiki olarak olası etkili olan faktörler ise; üreticilerin sahip oldukları arazi büyüklüğü, yıllık tarımsal gelirleri, sürekli afet riski ve maliyetlerin yüksek olma durumu olarak belirlenmiştir.