scholarly journals Analysis Factors Affecting the Demand and Supply of Free-range Chicken Meat in Pakpak Bharat Regency

2021 ◽  
Vol 4 (1) ◽  
pp. 986-998
Author(s):  
Mizanul Akbar
Keyword(s):  
Chicken Meat ◽  
Least Square ◽  
Positive Trend ◽  
Demand Model ◽  
Demand And Supply ◽  
Factors Affecting ◽  
Human Needs ◽  
Local Chicken ◽  
Food Needs ◽  
Local Chickens

Food needs are basic human needs that must be met. One of the food needs comes from animal sources, the source of meat most consumed in Pakpak Bharat is local chicken. From the consumer side, the factors that affect the demand for local chicken include: the price of local chickens, the price of tilapia, population and income, and factors that affect the demand for local chicken include: the price of local chicken, the price of local chicken feed and the price of local chicken seeds. The purpose of this study is to analyze the factors that affect the demand and supply of local chickens in Pakpak Bharat Regency in 2010 - 2019, to forecast the production of local chicken in Pakpak Bharat Regency in 2020-2029. Data analysis was performed using the Ordinary Least Square (OLS) method with multiple linear regression estimation models using the help of the SPSS 20 program. The estimation results of the demand model are variables of tilapia meat prices (X2), population (X3), and per capita income (X4) has a positive and significant effect on the demand for local chicken (Y), while the price variable for local chicken meat (X1) has a negative and significant effect on the demand for local chicken meat (Y). The estimation results of the model offer variable price for local chicken meat (X1) have a positive and significant effect on the supply of local chickens (Y), while for the variable price of local chicken feed (X2) and the price of local chicken seeds (X3) have a negative and significant effect on offering local chicken meat (Y). Simultaneously, all variables of the demand and supply of local chicken meat have a positive effect. Resultthe projection trend of local chicken production in Pakpak Bharat Regency in 2020-2029 is a positive trend or has increased every year.

scholarly journals PERMINTAAN DAGING SAPI DI PROVINSI RIAU

2021 ◽  
Vol 35 (1) ◽  
pp. 33-40
Author(s):  
Fadhlan Syihabuddin ◽  
Elinur ◽  
Sisca Vaulina
Keyword(s):  
Income Elasticity ◽  
Chicken Meat ◽  
Literature Study ◽  
Factors Affecting ◽  
Meat Demand ◽  
Human Needs ◽  
Rice Prices ◽  
Beef Demand ◽  
Beef Prices ◽  
Food Commodity

The husbandry sub-sector is a source of supporting energy for human needs, especially beef. Beef is a food commodity that has had an impact on improving public nutrition, especially animal protein. This study aims to analyze the development of beef demand and variables that influence it in Riau, the factors that influence beef demand in Riau Province, and the price elasticity, income elasticity, and cross elasticity of factors affecting meat demand beef in Riau Province. This research used the literature study. The data used in this research was data time series from 1999 to 2015. Data were analyzed using descriptive statistics, multiple linear regression, and elasticity. The results showed that the overall average development of beef demand, beef prices, chicken meat prices, rice prices, population income, and the population increased during the period. The factors that significantly influence the demand for beef were the price of beef and the price of rice. Meanwhile, the price of chicken meat, the income of the population, and the population had no significant to the demand for beef. The results of the elasticity calculation of demand showed that beef prices, rice prices, and population income were responsive to beef demand. This indicates that changes in beef prices, rice prices, and population income had a major impact on changes in demand for beef.

scholarly journals Self-Regulating Demand and Supply Equilibrium in Joint Simulation of Travel Demand and a Ride-Pooling Service

2021 ◽  
pp. 036119812199714
Author(s):  
Gabriel Wilkes ◽  
Roman Engelhardt ◽  
Lars Briem ◽  
Florian Dandl ◽  
Peter Vortisch ◽  
...  
Keyword(s):  
Real Time ◽  
Travel Demand ◽  
State Of The Art ◽  
Choice Model ◽  
Mode Choice ◽  
Attractive Alternative ◽  
Full Potential ◽  
Demand Model ◽  
Modeling Framework ◽  
Demand And Supply

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operation. On the one hand, this approach allows the application of detailed mode-choice models based on agent-level attributes coming from mobiTopp functionalities. On the other hand, existing state-of-the-art ride-pooling optimization can be applied to utilize the full potential of ride-pooling. The introduced interface allows mode choice based on real-time fleet information and thereby does not require multiple iterations per simulated day to achieve a balance of ride-pooling demand and supply. The introduced methodology is applied to a case study of an example model where in total approximately 70,000 trips are performed. Simulations with a simplified mode-choice model with varying fleet size (0–150 vehicles), fares, and further fleet operators’ settings show that (i) ride-pooling can be a very attractive alternative to existing modes and (ii) the fare model can affect the mode shifts to ride-pooling. Depending on the scenario, the mode share of ride-pooling is between 7.6% and 16.8% and the average distance-weighed occupancy of the ride-pooling fleet varies between 0.75 and 1.17.

scholarly journals Estimating a global demand model for soybean traffic through the Panama Canal

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Javier Ho ◽  
Paul Bernal
Keyword(s):  
Pacific Northwest ◽  
Least Square ◽  
Panama Canal ◽  
Demand Model ◽  
Department Of Agriculture ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Global Demand ◽  
Alternative Routes ◽  
The U.S

AbstractThis study attempts to fit a global demand model for soybean traffic through the Panama Canal using Ordinary Least Square. Most of the soybean cargo through the interoceanic waterway is loaded on the U.S. Gulf and East Coast ports -mainly destined to East Asia, especially China-, and represented about 34% of total Panama Canal grain traffic between fiscal years 2010–19. To estimate the global demand model for soybean traffic, we are considering explanatory variables such as effective toll rates through the Panama Canal, U.S. Gulf- Asia and U.S. Pacific Northwest- Asia freight rates, Baltic Dry Index, bunker costs, soybean export inspections from the U.S. Gulf and Pacific Northwest, U.S. Gulf soybean basis levels, Brazil’s soybean exports and average U.S. dollar index. As part of the research, we are pursuing the estimation of the toll rate elasticity of vessels transporting soybeans via the Panama Canal. Data come mostly from several U.S. Department of Agriculture sources, Brazil’s Secretariat of Foreign Trade (SECEX) and from Panama Canal transit information. Finally, after estimation of the global demand model for soybean traffic, we will discuss the implications for future soybean traffic through the waterway, evaluating alternative routes and sources for this trade.

Exploring sectoral diversity in the timing of organizational blockchain adoption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cigdem Turhan ◽  
Ibrahim Akman
Keyword(s):  
New Technology ◽  
Organizational Factors ◽  
Ease Of Use ◽  
Least Square ◽  
Management Support ◽  
Perceived Ease Of Use ◽  
Organizational Strategies ◽  
Content Type ◽  
Factors Affecting ◽  
Blockchain Technology

PurposeBlockchain is a relatively new technology. Although it has a high potential to influence organizational strategies for adoption into respective operations, it has not been widely explored yet. This study aims to assess the sectoral diversity in the timing of organizational adoption of blockchain through selected organizational factors.Design/methodology/approachA survey was conducted based on a sample of 208 IT professionals. The data was collected using an instrument containing 17 questions. The existence of sector diversity was statistically analyzed using the Least Square Regression method.FindingsThe results indicate that, except for management support and perceived ease of use, all the other factors in the analysis significantly influence sector diversity in terms of blockchain adoption timing.Originality/valueAlthough blockchain has received attention from researchers, to the best of the authors' knowledge, there is no published work in the literature that explores the organizational factors influencing sectoral differences in the timing of blockchain technology adoption. Therefore, our work is unique in the related literature since we present analyses for the diversity between public and private sectors by modeling the factors affecting the intentions for the timing of blockchain adoption as part of the organizations' IT infrastructure.

Patients’ Perceptions of Integrated Care Among Medicare Beneficiaries by Level of Need for Health Services

2022 ◽  
pp. 107755872110678
Author(s):  
Nancy Song ◽  
Molly Frean ◽  
Christian T. Covington ◽  
Maike Tietschert ◽  
Emilia Ling ◽  
...  
Keyword(s):  
Integrated Care ◽  
Health Care Providers ◽  
Chronic Conditions ◽  
Health Management ◽  
Least Square ◽  
Sensitivity Analyses ◽  
Medicare Beneficiaries ◽  
Care Providers ◽  
Factors Affecting ◽  
Ordinary Least Square Regression

Requirements for integrating care across providers, settings, and over time increase with patients’ needs. Health care providers’ ability to offer care that patients experience as integrated may vary among patients with different levels of need. We explore the variation in patients’ perceptions of integrated care among Medicare beneficiaries based on the beneficiary’s level of need using ordinary least square regression for each of four high-need groups: beneficiaries (a) with complex chronic conditions, (b) with frailties, (c) below 65 with disability, and (d) with any (of the first three) high needs. We control for beneficiary demographics and other factors affecting integrated care, and we conduct sensitivity analyses controlling for multiple individual chronic conditions. We find significant positive associations with level of need for provider support for self-directed care and medication and home health management. Controlling for multiple individual chronic conditions reduces effect sizes and number of significant relationships.

scholarly journals Analisis Faktor Produksi Kalapa Sawit Rakyat Menurut Tipologi Lahan di Kabupaten Indragiri Hilir Provinsi Riau

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Heriyanto Heriyanto ◽  
Asrol Asrol ◽  
Detri Karya ◽  
Verry Yarda Ningsih
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Raw Materials ◽  
Least Square ◽  
Added Value ◽  
Dominant Factor ◽  
Factors Affecting ◽  
The Difference ◽  
Cultivation Techniques ◽  
Coastal Land

Heriyanto et al, 2018. Analysis of the Production Factors of the People's Palm Oil According to the Land Typology in Indragiri Hilir Regency, Riau Province. JLSO 7(1): Palm oil commodities are one of the plantation sub-sector commodities that increase the income of farmers and the community, provide processing industry raw materials that create added value. The land cultivated by independent oil palm farmers consists of land land, tidal peatlands, coastal peatlands and coastal land. The difference in typology of this land will contribute to different production. The research aimed to analyze the oil palm production and the dominant factor affecting oil palm production according to the typology of land in Indragiri Hilir Riau Province. The data were analyzed using descriptive statistics and built multiple regression models with the dummy variable method of Ordinary Least Square (OLS). The results of the study showed that the production of oil palm cultivation on land is the highest compared to the typology of tidal peatland, coastal peat and coastal land. The dominant factors affecting palm oil production in Indragiri Hilir Regency were the amount of fertilizer use, labor, age of plants, herbicides and dummy typology of land. In order to obtain optimal production, this study recommended doing oil palm farming in accordance with the correct cultivation techniques in accordance with the characteristics of land typology. Besides that the use of balanced fertilizer (elements of N, P, and K) in accordance with the recommended needed to be applied.

scholarly journals The Factors Affecting Land Prices In Housing Location In Sidoarjo Regency

2017 ◽  
Vol 1 (1) ◽  
pp. 37-47
Author(s):  
Partomi Simangunsong ◽  
Arasy Alimudin ◽  
Muh. Barid Nizaruddin Wajdi
Keyword(s):  
Residential Location ◽  
Least Square ◽  
City Center ◽  
Sale Price ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Road Width ◽  
Log Linear ◽  
Road Distance

The need for residential location is one of the basic needs of the community and the attractiveness of the residential location is a unique feature where this feature is not made by the respective occupants, but by external factors from the residential environment in the area. This study aims to analyze the factors that are considered as the basis that affect the price of land. This research uses quantitative approach with associative research method. Linear analysis with quadratic method. Ordinary Least Square (OLS). From the analysis of this research model obtained log-linear F-accounting 70,162 while the value of F-table (0,05; 5,48) is 2,45. because F-count> F-table, Ho means rejected and explanatory variables include Distance to city center, Distance to main road, Distance to toll gate, Road width, and security simultaneously can be explained significantly at land sale price.

scholarly journals THE INFLUENCE OF INFORMATION ON TRADING BEHAVIOR WITH PERSONALITY TRAITS AS MODERATION VARIABLE FOR STOCK TRADERS

2021 ◽  
Vol 2 (1) ◽  
pp. 34-41
Author(s):  
Ronaldo Susanto ◽  
Mariana Ing Malelak
Keyword(s):  
Data Analysis ◽  
Personality Traits ◽  
Partial Least Square ◽  
Least Square ◽  
Trading Behavior ◽  
Key Factors ◽  
Factors Affecting ◽  
The Past ◽  
Technological Developments ◽  
Stock Traders

The development of investment in Indonesia has increased rapidly over the past few years. One of the key factors affecting stock traders' trading behavior is information. Information that was previously difficult to obtain by investors became easily obtained due to technological developments. In addition to information, the characteristics of traders also influence their trading behavior. The population used in this study is the entire citizen of Surabaya, and the sample of this study is stock traders who have a minimum of 1-year trading experience. Data analysis is done by using Partial Least Square with Smart PLS 3.0. The result of this study is that information has a significant effect on trading behavior, while neuroticism, extraversion, openness, agreeableness, and conscientiousness do not moderate the effect of information on trading behavior significantly.

scholarly journals Live weight performance of three different breed of indonesian local chickens in starter phase

2021 ◽  
Vol 888 (1) ◽  
pp. 012009
Author(s):  
F Mustofa ◽  
A P Z N L Sari ◽  
A Agus ◽  
H Sasongko ◽  
E Suryanto ◽  
...  
Keyword(s):  
Analysis Of Variance ◽  
Live Weight ◽  
Performance Data ◽  
High Quality ◽  
Phase 0 ◽  
Significant Difference ◽  
Chicken Farm ◽  
Local Chicken ◽  
Weight Data ◽  
Local Chickens

Abstract The production of local chickens in Indonesia is determined by the availability of high-quality local chicken stocks. However, information on local chicken performance is limited, therefore, this study aims to determine the live weight performance of three local Indonesian chicken namely Merawang, Murung Panggang, and KUB in the starter phase. The study was conducted at chicken farm located in Semanu Gunung Kidul, Yogyakarta. Meanwhile, the live weight data were collected at the starter phase (0, 2, and 4 weeks. The samples consisted of 196 Merawang, 157 Murung Panggang, and 416 KUB chickens reared in a battery cage in a closed house under similar conditions. Furthermore, the live weight performance data were analyzed using analysis of variance (ANOVA). As a result, the Merawang chicken had the highest live weight (P<0.05) at the day-old chick (DOC) age. At the same age, no significant difference was detected between the KUB and Murung Panggang chicken (P>0.05). However, the live weight of Murung Panggang was significantly higher at 2 and 4 weeks compared to others (P< 0.05). Therefore, it was concluded that there are variations in the live weight of the three local chickens during the starter phase.

scholarly journals High Genetic Diversity but Absence of Population Structure in Local Chickens of Sri Lanka Inferred by Microsatellite Markers

2021 ◽  
Vol 12 ◽  
Author(s):  
Amali Malshani Samaraweera ◽  
Ranga Liyanage ◽  
Mohamed Nawaz Ibrahim ◽  
Ally Mwai Okeyo ◽  
Jianlin Han ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Sri Lanka ◽  
Microsatellite Markers ◽  
Allelic Diversity ◽  
Genetic Distances ◽  
Population Substructure ◽  
High Genetic Diversity ◽  
Naked Neck ◽  
Local Chicken ◽  
Local Chickens

Local chicken populations belonging to five villages in two geographically separated provinces of Sri Lanka were analyzed using 20 microsatellite markers to determine the genetic diversity of local chickens. Population genetic parameters were estimated separately for five populations based on geographic locations and for eight populations based on phenotypes, such as naked neck, long legged, crested or crown, frizzle feathered, Giriraj, commercial layer, crossbreds, and non-descript chicken. The analysis revealed that there was a high genetic diversity among local chickens with high number of unique alleles, mean number of alleles per locus (MNA), and total number of alleles per locus per population. A total of 185 microsatellite alleles were detected in 192 samples, indicating a high allelic diversity. The MNA ranged from 8.10 (non-descript village chicken) to 3.50 (Giriraj) among phenotypes and from 7.30 (Tabbowa) to 6.50 (Labunoruwa) among village populations. In phenotypic groups, positive inbreeding coefficient (FIS) values indicated the existence of population substructure with evidence of inbreeding. In commercial layers, a high expected heterozygosity He = 0.640 ± 0.042) and a negative FIS were observed. The positive FIS and high He estimates observed in village populations were due to the heterogeneity of samples, owing to free mating facilitated by communal feeding patterns. Highly admixed nature of phenotypes was explained as a result of rearing many phenotypes by households (58%) and interactions of chickens among neighboring households (53%). A weak substructure was evident due to the mating system, which disregarded the phenotypes. Based on genetic distances, crown chickens had the highest distance to other phenotypes, while the highest similarity was observed between non-descript village chickens and naked neck birds. The finding confirms the genetic wealth conserved within the populations as a result of the breeding system commonly practiced by chicken owners. Thus, the existing local chicken populations should be considered as a harbor of gene pool, which can be readily utilized in developing locally adapted and improved chicken breeds in the future.

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