scholarly journals Willingness to Pay for Conservation of the Rong Por’s Community Forest in Phayao Province

2021 ◽  
Vol 2 (2) ◽  
pp. 70-76
Author(s):  
Anupong Wongchai ◽  
Lin Yi-Chia
Keyword(s):  
Logistic Regression ◽  
Willingness To Pay ◽  
National Park ◽  
Likelihood Estimation ◽  
Local Area ◽  
Primary Data ◽  
Community Forest ◽  
Factors Affecting ◽  
Park Area ◽  
Forest Lands

Rong Por community forest was declared to be included in the Doi Luang National Park since 1981, according to the Parliament, Act of 1961. It is the cause of conflict of interest related to government projects and possessory right of land ownership because the houses were in the Doi Luang National Park area. Moreover, the local people were accused of the invasion of forest lands from government officials cause people locals to express themselves as precedent residents the announcement of a national park clearly expressed was not invading.  Therefore, the purposes of this research aimed to study on willingness to pay for conservation of the Rong Por’s community forest and to analyze the factors affecting the willingness to pay for conservation of Rong Por’s community forest located in Dongjen Sub-District, Phukamyao District, Phayao Province, Thailand. The primary data were collected by a questionnaire, a total of 400 sample sizes. The logistic regression with Maximum Likelihood Estimation (MLE) was theoretically employed to analyze what factors affecting the values of willingness to pay. The empirical results showed that the respondents are unwilling to pay for conservation because they were confirmed that they were not intruders. Moreover, the analysis from Logistic Regression depicted that the factors affecting the willingness to pay for forest conservation are more benefits to this research and can be used as the guidelines for the policy-maker in the local area to conserve the Rong Por’s community forest.

scholarly journals Farmers' Willingness to Pay for Bio-slurry Fertilizer in Central Java

Agro Ekonomi ◽  
2020 ◽  
Vol 31 (1) ◽  
Author(s):  
Malinda Aptika Rachmah ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Willingness To Pay ◽  
Agricultural Land ◽  
Organic Fertilizer ◽  
Market Price ◽  
Primary Data ◽  
Farm Income ◽  
Factors Affecting ◽  
Determinant Factors ◽  
Central Java ◽  
Residual Product

Bio-slurry is the residual product of biogas processing waste through the decomposition process without oxygen (anaerobic). Bio-slurry can be used as organic fertilizer for agricultural land. This study aims to: 1) assess the value of willingness to pay (WTP) for bio-slurry fertilizer, 2) find factors affecting farmer’s willingness to pay (WTP) of bio-slurry fertilizer. The research was carried out from January to February 2020 in Central Java. Determination of the location is purposive based on the farmers in Magelang and Demak Regency that have utilized biogas waste to be organic fertilizer and had been commercialized. Primary data were obtained from 80 farmers using purposive sampling, with the aid of questionnaire. Data analysis using contingent value method (CVM) to evaluate the farmer’s willingness to pay and logistic regression to analyze its determinant factors. The result showed that farmer’s willingness to pay (WTP) rate of bio-slurry fertilizer was IDR. 937,5/kg, which was above the market price. The determinant factors are farm income, education, price, and experience using organic fertilizer positively related to farmers’ willingness to pay bio-slurry fertilizer whereas land area negatively related to farmers’ willingness to pay bio-slurry fertilizer. The value of willingness to pay show the opportunity for bio-slurry fertilizer to survive in market by taking into account continuity of production and quality.

scholarly journals Consumer Willingness to Pay for The Purchase of Spicy Acid Catfish at Pondok Gurih Restaurant, Pekanbaru

2020 ◽  
Vol 008 (01) ◽  
pp. 82-96
Author(s):  
Fitri Yuliasma ◽  
◽  
Trisla Warningsih ◽  
Darwis AN ◽  
Keyword(s):  
Logistic Regression ◽  
Data Analysis ◽  
Willingness To Pay ◽  
Product Quality ◽  
Research Method ◽  
Secondary Data ◽  
Primary Data ◽  
Survey Method ◽  
Improve Product Quality ◽  
Analysis Method

This research was conducted at Pondok Gurih Restaurant, Pekanbaru which aims to calculate the value of the willingness to pay of consumers and to analyze the factors that affect the willingness to pay of consumers for the purchase of catfish spicy acid. This research can be used as information material for the restaurant to improve the quality and facilities for consumer demand. The research method used is a survey method that used primary data and secondary data. The data collection techniques through interviews. The sample in this study are consumers who eat at the restaurant and are willing to be interviewed. The number of respondents used in this study was 100 people. The data analysis method used in this research is logistic regression. The results showed that the average cost to be paid by consumers was IDR 87,410 with the lowest WTP value of IDR 40,000 and the highest was IDR 150,000. Then the variables that significantly affect the consumer's desire to pay are age, income, education, and product quality. The variables that did not have a significant effect were gender, service quality, and occupation. Suggestions for businesses are to continue to improve product quality.

scholarly journals Pemodelan Semiparametrik Geographical Weighted Logistic Regression pada Data Kemiskinan di Provinsi Sulawesi Selatan Tahun 2017

2021 ◽  
pp. 105-114
Author(s):  
Fitriatusakiah Fitriatusakiah ◽  
Andi Kresna Jaya ◽  
La Podje Talangko
Keyword(s):  
Logistic Regression ◽  
Likelihood Estimation ◽  
Semiparametric Model ◽  
Parameter Estimator ◽  
Location Factor ◽  
Factors Affecting ◽  
South Sulawesi ◽  
Weighted Logistic Regression ◽  
Poverty Status ◽  
Maximum Method

The level of poverty in a Regency/city in South Sulawesi in 2017 is different. The grouping of poverty status can be done based on the value of the HeadCount Index (HCI) of South Sulawesi. Factors affecting poverty will differ for each area being observed. The statistical modeling method developed for data analysis by taking into account the location factor is semiparametric Geographical Weighted Logistic Regression (GWLR). The GWLR semiparametric Model consists of parameters that are affected by the location and not affected by the location. The parameter estimator of the GWLR semiparametric model used in this research was obtained using the maximum method likelihood estimation. The result of a semiparametric model of GWLR each district/city in South Sulawesi in 2017 has the value Estimator parameter for global parameters is the same value for each location, namely, a3 = 0.1724, a4 = 0.0204, and a6 = 0.0261 whereas the parameter estimator for local parameters has different values so that GWLR semiparametric model of each district/city.

scholarly journals Analysis of Willingness to Pay Integrated Waste Management

2019 ◽  
Vol 2 (2) ◽  
pp. 461-468
Author(s):  
Tionarta Bakara ◽  
Prasetyo Ari Bowo
Keyword(s):  
Waste Management ◽  
Willingness To Pay ◽  
Contingent Valuation ◽  
Contingent Valuation Method ◽  
Education Level ◽  
Primary Data ◽  
Management Service ◽  
Factors Affecting ◽  
Valuation Method ◽  
The Family

Waste volume in Semarang City increases every year. Local Regulation Number 6 Year 2012 forces households to reduce waste through 3R. 83% pre-survey citizens in West Semarang District have not done it yet. It needs an improvement on waste management. The purpose of this research is to know the citizen’s willingness to pay rate of West Semarang District on waste management improvement and to analyze the factors affecting willingness to pay. The data used in this research is Primary Data. The population in this research is 100 households in West Semarang District. Data collection method is using interview. Data analysis method is using Contingent Valuation Method and multiple  linear regression. The result shows that 68 respondents are willing to pay and 32 respondents are not. The amount of willingness to pay is Rp16.838. Influencing factors of willingness to pay are education level and staying duration. The recommendation of this research is the higher willingness to pay should be followed by better management service. Citizens can improve willingness to pay by having higher education level so that they realize the importance of maintaining environment. To increase willingness to pay, the higher family members the more they should have a good knowledge so that their perception about the payment based on head of the family will decrease. Volume sampah di Kota Semarang meningkat setiap tahun. Peraturan Daerah Nomor 6 Tahun 2012 memaksa rumah tangga untuk mengurangi limbah melalui 3R. 83% warga pra-survei di Kabupaten Semarang Barat belum melakukannya. Perlu perbaikan dalam pengelolaan limbah. Tujuan dari penelitian ini adalah untuk mengetahui kesediaan warga untuk membayar tarif Kabupaten Semarang Barat pada peningkatan pengelolaan limbah dan untuk menganalisis faktor-faktor yang mempengaruhi kesediaan untuk membayar. Data yang digunakan dalam penelitian ini adalah Data Primer. Populasi dalam penelitian ini adalah 100 rumah tangga di Kabupaten Semarang Barat. Metode pengumpulan data menggunakan wawancara. Metode analisis data menggunakan Metode Contingent Valuation dan regresi linier berganda. Hasilnya menunjukkan bahwa 68 responden bersedia membayar dan 32 responden tidak. Jumlah kemauan untuk membayar adalah Rp16.838. Faktor-faktor yang mempengaruhi kemauan untuk membayar adalah tingkat pendidikan dan durasi tinggal. Rekomendasi dari penelitian ini adalah semakin tinggi kesediaan untuk membayar harus diikuti oleh layanan manajemen yang lebih baik. Warga dapat meningkatkan kemauan untuk membayar dengan memiliki tingkat pendidikan yang lebih tinggi sehingga mereka menyadari pentingnya menjaga lingkungan. Untuk meningkatkan kemauan membayar, semakin tinggi anggota keluarga semakin mereka harus memiliki pengetahuan yang baik sehingga persepsi mereka tentang pembayaran berdasarkan kepala keluarga akan berkurang.

scholarly journals Microcredit Accessibility in Rural Households: Evidence from Indonesia

2019 ◽  
Vol 65 (1) ◽  
pp. 67
Author(s):  
Danang Budi Santoso ◽  
Christopher Gan
Keyword(s):  
Logistic Regression ◽  
Interest Rates ◽  
Marital Status ◽  
Household Income ◽  
Rural Households ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Economic Welfare ◽  
Education Attainment ◽  
Factors Affecting

Extant literature suggests that microcredit may improve borrowers’ social and economic welfare. This study aimed to investigate the microcredit accessibility of rural households in Indonesia. Binary Logistic regression was used to distinguish the characteristics of microcredit borrowers and non-borrowers, and the factors affecting the approval of microcredit application. Primary data was collected through a survey on 488 rural households in Bantul, Yogyakarta. The empirical results suggested that age, marital status and education attainment significantly affect the characteristics of clients and non-clients of microcredit. The results also revealed that age of borrowers, household income, interest rates, and loan duration are key determinants affecting microcredit accessibility. The implications of the findings were provided.

scholarly journals Willingness to Pay of Fishermen Insurance Using Logistic Regression with Parameter Estimated by Maximum Likelihood Estimation Based on Newton Raphson Iteration

2021 ◽  
Vol 17 (1) ◽  
pp. 15
Author(s):  
Yulianus - Brahmantyo ◽  
Riaman Riaman ◽  
F Sukono
Keyword(s):  
Genetic Algorithm ◽  
Logistic Regression ◽  
Willingness To Pay ◽  
Logistic Regression Model ◽  
Likelihood Estimation ◽  
Fishing Community ◽  
Community Membership ◽  
Newton Raphson ◽  
Main Factors ◽  
Raphson Iteration

The high risk of losing fishermen's life while at sea is inversely proportional to their low welfare. Fishermen are also unable to meet their daily needs when they are not going to sea. Fishermen welfare insurance can be a solution for them to meet their daily needs. Willingness to Pay (WTP) of fishermen to participate in fishermen welfare insurance can be analyzed using Logistic Regression with Newton Raphson and Genetic Algorithm approximations. Some of the main factors that can support their WTP to participate in fishermen welfare insurance, are fishermen education, membership in the fishing community, membership in fisherman business cards, and knowledge about the existence of fishermen insurance. From these four factors, Logistic Regression Model is generated which is expected to help the increase of fishermen’s WTP on fishermen insurance in Indonesia.

scholarly journals Proximity to Hibernacula and Road Type Influence Potential Road Mortality of Snakes in Southwestern Saskatchewan

2013 ◽  
Vol 126 (3) ◽  
pp. 194 ◽  
Author(s):  
Ashley N. Fortney ◽  
Ray G. Poulin ◽  
Jessica A. Martino ◽  
Dennilyn L. Parker ◽  
Christopher M. Somers
Keyword(s):  
National Park ◽  
Home Ranges ◽  
Road Mortality ◽  
Traffic Patterns ◽  
Factors Affecting ◽  
Conservation Implications ◽  
Multivariate Modelling ◽  
Radio Transmitters ◽  
Road Type ◽  
Park Area

The behaviour of snakes makes them vulnerable to road mortality, which may have conservation implications for some species. We examined factors affecting road mortality of snakes around Grasslands National Park of Canada (GNP), Saskatchewan, an area inhabited by a unique snake community within Canada, including the threatened Eastern Yellow-bellied Racer (Coluber constrictor flaviventris). Systematic surveys (n = 45) of roads in the Grasslands National Park area in 2009 yielded 36 dead and 18 live snakes. Multivariate modelling revealed that proximity to hibernacula was positively correlated with presence of snakes on roads. Paved roads had disproportionately higher numbers of snake mortalities, suggesting that traffic patterns are a bigger risk factor than road use per se. Some radio-tracked Eastern Yellow-bellied Racers (2 of 17; 12%) and Bullsnakes (Pituophis catenifer sayi) (4 of 5; 80%) captured at emergence from hibernacula had road areas in their home ranges. These individuals equipped with radio-transmitters used roads and immediately adjacent areas significantly more than expected, based on their availability, suggesting possible selection for roads. Strategies to reduce road mortality of snakes should focus on key stretches of roads, such as those near winter hibernacula or riparian zones. The placement of paved roads in sensitive areas like those in and around Grasslands National Park should be carefully considered to minimize snake mortality.

THE DAILY ACTIVITY OF BREECH MARTES (MARTES FOINA ERXLEBEN, 1777) IN DIFFERENT PARTS OF THE «KACHAGHAKABERD» NATIONAL PARK

2021 ◽  
pp. 19-25
Author(s):  
V.T. Hayrapetyan ◽  
Keyword(s):  
National Park ◽  
Anthropogenic Factors ◽  
Economic Activities ◽  
Martes Foina ◽  
Population Activity ◽  
Factors Affecting ◽  
Different Seasons ◽  
Park Area ◽  
Large Predators ◽  
Low Activity

The work presents the peculiarities of the activity of the beech martens of «Kachaghakaberd» National Park in the territories of Martakert, Askeran, Shahumyan and Kashatagh regions of Artsakh in 2002-2020. The observations carried out by us showed that there are no marked deviations within the area. However, deviations are recorded at different times of the day and in different seasons of the year. Studies show that the breech martens are mostly active during dusk and night; however they may also be active during the mornings and throughout the day. Higher activity is observed during daylight hours in spring, which is due to the spring mating of animals and in winter, which, in our opinion, is due to the compensation of low activity because of the night frosts. Changes in the nature of the activity of these beasts are conditioned by large predators, climatic and anthropogenic factors. As a result of the observations we found out that in summer at the temperature of +33 - +35°C and in winter at the temperature of -15 - -22°C their activity is lost. In summer they are more frequently encountered when the temperature is +23 - +25°C, meanwhile in winter, they are encountered if the temperature is not below -8 - -13°C. One of the factors affecting the activity of Breech martens is the stress, resulted from the economic activities, that sometimes causes extinction. Keywords: «Kachaghakaberd» National Park, area, beech martens, population, activity, climat

scholarly journals The Impact of the COVID-19 Pandemic on Tourists’ WTP: Using the Contingent Valuation Method

2021 ◽  
Vol 18 (16) ◽  
pp. 8605
Author(s):  
Chang-Young Jeon ◽  
Hee-Won Yang
Keyword(s):  
Infectious Disease ◽  
Logistic Regression ◽  
Willingness To Pay ◽  
Contingent Valuation ◽  
Perceived Risk ◽  
Contingent Valuation Method ◽  
Dichotomous Choice ◽  
Factors Affecting ◽  
Valuation Method ◽  
The Impact

This study estimated tourists’ willingness to pay (WTP) for tourist sites or facilities in the prolonged COVID-19 pandemic by applying the dichotomous choice-contingent valuation method to two different tourism destination types. A survey was conducted among domestic tourists in South Korea who had visited destinations within the last six months. We conducted a logistic regression with 1283 effective samples. The results showed differences in tourists’ WTP, depending on type, and the factors affecting WTP differed. Tourists with higher tourism attitude and knowledge of tourism risk exhibited a higher WTP. Tourists with higher perceived risk of infectious disease exhibited less WTP.

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