scholarly journals The Impact of GAP-SOP on The Production and Technical Efficiency of Garlic in Temanggung Regency

Agro Ekonomi ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 299
Author(s):  
Aristiyana Nur Tri Wardani ◽  
Dwidjono Hadi Darwanto
Keyword(s):  
Technical Efficiency ◽  
Sample Selection ◽  
Participation Rate ◽  
Simple Random Sampling ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Average Value ◽  
Central Java ◽  
Efficient Level ◽  
The Impact

Temanggung regency is the largest garlic producer region in Central Java Province. However, its productivity is still low compared to the other regencies since garlic farmers have not achieved technical efficiency and limitary garlic farming technology.  Hence, it is necessary to investigate whether the input application in the process of garlic production has been at technically efficient level or not. This research aims to determine factors affecting garlic production, the level of technical efficiency and technical inefficiency of garlic farming in Temanggung Regency. The location of the research was determined by using purposive sampling. The sample selection used simple random sampling method with  60 garlic farmers as the respondent. The result shows that production factors such as land area, garlic seed, ZK fertilizer, pesticide and the level of application of garlic GAP-SOP have significant effect on garlic production. The average value of farmer’s technical efficiency is 0,811. It means that respondents in this study have been technically efficient. The socio-economic factors affecting technical inefficiency are the age, the number of worker in a family, the level of education and participation rate within farmer group. The improvement effort of technical efficiency of garlic farming can be done by optimizing the contribution of farmer group as a facility to access information. Therefore, it is able to improve the skills and knowledge of farmers to farm garlic.

scholarly journals Technical Efficency Of Soybean In Pandeglang Regency

Agro Ekonomi ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 1
Author(s):  
Nivo Ardiansyah ◽  
Slamet Hartono ◽  
Any Suryantini
Keyword(s):  
Technical Efficiency ◽  
Sample Selection ◽  
Simple Random Sampling ◽  
Research Area ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Soybean Production ◽  
Average Value ◽  
Production Factors ◽  
Efficient Level

Pandeglang district is the largest soybean producer region in Banten province. Since the last four years, Pandeglang Regency has decreased land area and production. However, the amount of soybean productivity has increased. The ability of farmers to manage and allocate various inputs used in soybean farming affects the production and productivity of soybean and can give an idea of the level of efficiency achieved by farmers. So it is necessary to research whether the application or use of inputs in the process of soybean production has been at technically efficient level or not. Based on these conditions, in this study aims to: know the level of technical efficiency in soybean farming in Pandeglang regency. The basic method used in this research is descriptive method and the location of research is determined intentionally or purposive sampling. Sample selection for soybean farmer respondents was done by simple random sampling method of 77 soybean farmers. The result of the research shows that production factors that significantly affecting soybean production in Pandeglang are wide, fertilizer and insecticide. The average value of farmers' technical efficiency is 0.864. This figure indicates that the average farmers of respondents have reached technical efficiency in soybean production in the research area. the technical efficiency value of the stochastic function with the lowest value 0.6314 and the highest value 0.9599. Factors affecting technical inefficiency are age and training. However, these factors have a positive effect, meaning that both increase the level of technical inefficiency of soybean farming.

scholarly journals Stochastic Frontier Analysis on Technical Efficiency of Strawberry Farming in Purbalingga Regency Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 105
Author(s):  
Irene Kartika Eka Wijayanti, ◽  
Jamhari Jamhari, ◽  
Dwidjono, Hadi Darwanto ◽  
Any Suryantini
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Central Java ◽  
Frontier Production Function ◽  
Central Java Province

The objective of this study is to determine technical efficiency and factors affecting technical inefficiency of strawberry farming in Purbalingga Regency. This study was conducted in Karangreja Subdistrict, Purbalingga Regency, Central Java Province. Purposive sampling method was utilized to select 100 farmers as the respondents. All of whom have been running their farm business for at least three years consecutively from 2015 to 2017. Stochastic frontier production function was applied to measure technical efficiency and factors affecting technical inefficiency. The findings show that strawberry farming in Purbalingga Regency, Central Java Province, is technically efficient with efficiency number varies between 26.50-99.40% and the average efficiency number of 77.80%. Furthermore, the results indicate that the farmers’ formal education and the number of household members significantly affect the technical efficiency of strawberry farming.

scholarly journals Production Efficiency of Seaweed Farming in Tarakan North Borneo

Agro Ekonomi ◽  
2017 ◽  
Vol 28 (1) ◽  
pp. 80 ◽  
Author(s):  
Banyu Riatiga ◽  
Dwidjono Hadi Darwanto ◽  
Lestari Rahayu Waluyati
Keyword(s):  
Production Efficiency ◽  
Sample Selection ◽  
Simple Random Sampling ◽  
Seaweed Farming ◽  
Factors Affecting ◽  
Average Value ◽  
Effi Ciency ◽  
North Borneo ◽  
Coeffi Cients ◽  
Socio Economic Factors

This study aims to determine: (1) the factors that infl uence the production of seaweed and (2)  the level of technical effi ciency obtained by seaweed farmers in Tarakan. Since 2009, most of the fi shermen on the coast of Amal turned into seaweed farming as it is more profi table and easier to cultivate. The basic method used in this research is descriptive method while the location of the research was determined by intentional or purposive sampling. The sample selection for seaweed farmer respondents used simple random sampling of 100 seaweed farmers. The results showed that the factors of production which have positive and signifi cant impact on seaweed production in Tarakan are farm area, seeds, labor and dummy for location. The technical effi ciency in a secure or unsecured locations are 0,93 and 0,82, respectively, with the average value of the technical effi ciency of seaweed farmers in general is 0,92. Socio-economic factors affecting technical ineffi ciency are farmers’age, farming experience, number of family members, education and dummy for location. However, the experience of farming and dummy for location have negative coeffi cients which means that both are able to increase the level of technical effi ciency of seaweed farming.

Evaluating the effect of subsidies for rural development on agri-food and forestry firms

2019 ◽  
Vol 27 (80) ◽  
pp. 150-167
Author(s):  
José A. Pérez-Méndez ◽  
María Pérez-Urdiales ◽  
David Roibas
Keyword(s):  
Rural Development ◽  
Technical Efficiency ◽  
Technical Progress ◽  
Stochastic Frontier ◽  
Content Type ◽  
Factors Affecting ◽  
Forestry Industry ◽  
The One ◽  
The Impact ◽  
Positive Effect

Purpose This paper aims to evaluate the impact of the subsidies established by Measure 123 of the Rural Development Policy on the productivity of a sample of agri-food and forestry companies in the region of Asturias over the period 2006-2009. Design/methodology/approach The authors estimate a stochastic frontier function which allows subsidies to be considered as affecting both the level of technical efficiency and technical progress. Findings The results show that while subsidies have a positive effect on the technical progress of companies in the agri-food industry, for the forestry industry, the effect materializes as an improvement in technical efficiency. Additionally, other factors affecting either, technical progress and technical efficiency were identified. Originality/value This study adopts a model that allows the separate identification of the effect of subsidies on the level of efficiency, on the one hand, and on the technical progress, on the other.

scholarly journals ANALISIS EFISIENSI TEKNIS KARET PERKEBUNAN RAKYAT KABUPATEN BANYUASIN PROVINSI SUMATERA SELATAN

2020 ◽  
Vol 9 (2) ◽  
pp. 69
Author(s):  
Ario Pratama ◽  
Rahmat Syahni ◽  
Mahdi Mahdi
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Plant Age ◽  
Average Level ◽  
Rubber Plantation ◽  
Potential Productivity ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Average Productivity

The average productivity of rubber smallholder in Banyuasin Regency is 0,89 ton/ha lower than its potential productivity 1,5 ton/ha. This study aims to analyze the factors affecting rubber productivity, the level of technical efficiency and factors affecting technical inefficiency in rubber plantation at several group of plant age. The research used purposive sampling which obtained 60 samples of farmers as respondent and was conducted in Banyuasin Regency, South Sumatera Province from April to June 2020. Data were analyzed using stochastic frontier Cobb Douglas analysis. The results showed that factors affecting rubber productivity were TSP, Fungicide, Herbicide, labour, numbers of plant (tree), plant age and clone. The level of rubber smallholder technical efficiency showed the various amount from 0.50 to 0.97 with average level 0.87. The highest average level of rubber smallholder technical efficiency was found at group of plant age 6-15 with TE 0.91. Factors affecting technical inefficiency were farmer’s education, training and farmers status. Keywords: Productivity, technical efficiency, rubber, stochastic frontier 

scholarly journals ANALISIS EFISIENSI TEKNIS, EFISIENSI EKONOMIS DAN DAYA SAING PADA USAHATANI BAWANG MERAH DI KABUPATEN NGANJUK-JAWA TIMUR: SUATU PENDEKATAN EKONOMETRIK DAN PAM

2016 ◽  
Vol 23 (2) ◽  
pp. 147 ◽  
Author(s):  
Budi Waryanto
Keyword(s):  
Technical Efficiency ◽  
Organic Fertilizer ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Final Analysis ◽  
Factors Affecting ◽  
Economical Efficiency ◽  
Average Value ◽  
Independent Variable ◽  
Frontier Production Function

Shallot is an important vegetable commodity for most Indonesian people. Shallots production is not yet able to supply the domestic consumption, and some is still met through imports. The challenge to produce shallots will be more complex, such as: the desire of consumers to high-quality products and environmentally friendly, as well as competition with similar products in the era of free trade. Based on these reasons, research has been done and the purpose of this study was to analyze the factors affecting shallots production, measuring the level of technical efficiency and economical efficiency. The study was conducted in Nganjuk District by taking 179 respondents from four sub districts. Interviews were conducted in October and November 2013, planting shallots April unti August 2013. Methods of analysis using the stochastic frontier production function to look at the effect of inputs on shallots production, followed by the analysis of technical efficiency (TE), allocative efficiency (AE) and economical efficiency (EE), and the final analysis of competitiveness using the Policy Analysis Matrix (PAM). The independent variable inputs consist of land (X1), seeds (X2), NPK fertilizer (X3), organic fertilizer (X4), labor (X5) and pesticides (X6). The analysis showed all independent variables significantly affected shallots production, where the value of the elasticity of the independent variable X2 is the highest, amounting to 0.2822. The analysis also obtained an average value of TE is equal to 0.808 means farmers are efficient, although there are farmers who are still not efficient. Although TE has been achieved, but is economically inefficient, because the average value of EE only 0.509. From PAM results it can be seen that farming shallots in this study has a competitive advantage but do not yet have a comparative advantage.

scholarly journals The Impact of SARS-CoV-2 Multiple Spike Protein Mutations on COVID-19 Outcomes

2021 ◽  
Author(s):  
Gunadi ◽  
Mohamad Saifudin Hakim ◽  
Hendra Wibawa ◽  
Marcellus ◽  
Ika Trisnawati ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Strong Association ◽  
Clinical Manifestations ◽  
Illumina Miseq ◽  
Hospitalized Patients ◽  
S Protein ◽  
Factors Affecting ◽  
Central Java ◽  
The Impact ◽  
Protein Variants

Abstract Background: Recent studies focusing on the association of SARS-CoV-2 variants of concern (VOC) on COVID-19 outcomes have been reported. However, studies of the impact of multiple mutations within the spike (S) protein of SARS-CoV-2 on COVID-19 illness are limited. This study determined the association between multiple mutations within the S protein, prognosis factors, and the disease outcomes of SARS-CoV-2 infection. Methods: We included 51 COVID-19 patients from Yogyakarta and Central Java, Indonesia. Whole genome sequences of SARS-CoV-2 were determined by the Illumina MiSeq next-generation sequencer, followed by the phylogenetic analysis of 170 full-genomes of SARS-CoV-2 from different regions. We analyzed characteristics of COVID-19 patients and multiple mutations in association with different outcomes.Results: Among 51 patients, the clinical manifestations of COVID-19 were as follows: without any symptoms (13.7%), mild (47%), moderate (19.6%), severe (4%), critical (2%), and died (13.7%). The age of hospitalized patients (53.4 ± 18 years) was higher than non-hospitalized patients (34.6 ± 19) (p=0.001). A significant association between diabetes, hypertension, and anticoagulant and the hospitalization of patients was noted with p-value of 0.039 (OR=4.47 [95% CI=1.07-18.58]), 0.001 (OR=17 [95% CI=2-144]), and 0.02 (OR=27.97 [95% CI=1.54-507.13]), respectively; whereas a strong association between patients’ age, diabetes, anticoagulant, and steroid with the mortality of patients was revealed with p-value of 0.016 (OR=8.44 [95% CI=1.5-47.49]), 0.019 (OR=8.5 [95% CI=1.43-50.66]), 0.001 (46.8 [95% CI=4.63-472.77]), and 0.009 (OR=15.75 [95% CI=2-123.86]), respectively. All viruses contained the D614G variant, except one case. Accordingly, the samples were classified as the following clade: L (2%), GH (84.3%), GR (11.7%), and O (2%). Besides the D614G, the most common variants in the S protein were L5F (18.8%), V213A (18.8%), and S689R (8.3%). There was no significant association between multiple S protein variants with either hospitalization or mortality of COVID-19 (p=0.11 and 0.69, respectively). Multivariate analysis showed that hypertension and anticoagulant were the strong factors affecting the hospitalization and mortality of patients with COVID-19 with a p-value of 0.009 (OR=17.06 [95% CI=2.02-144.36]) and 0.001 (OR=46.8 (95% CI=4.63-472.77), respectively. Interestingly, the multiple S protein variants almost reached a significant level affecting the hospitalization of patients (p=0.07). Phylogenetic analysis showed that although most of the viruses from this study belonged to clade GH, none were detected as the variant of concern (VOC) and the variant of interest (VOI) of SARS-CoV-2.Conclusions: Here, we show for the first time the association between SARS-CoV-2 mutations within the S protein besides the VOC with the COVID-19 outcomes. Our findings suggest that multiple mutations in the S protein might affect the severity of COVID-19. Our study further suggests the importance of genomic surveillance to monitor SARS-CoV-2 variants, particularly those that might influence the outcomes of COVID-19 patients.

scholarly journals Impact of Changing Consumer Lifestyles on Intention to Purchase towards Green and Halal Foods of the Chicken Meat Industry in Malaysia

2015 ◽  
Vol 7 (6) ◽  
pp. 155 ◽  
Author(s):  
Foo Weng Toong ◽  
Aye Aye Khin ◽  
Ali Khatibi
Keyword(s):  
Descriptive Analysis ◽  
Simple Random Sampling ◽  
Chicken Meat ◽  
Meat Industry ◽  
Consumer Market ◽  
Factors Affecting ◽  
Price Consciousness ◽  
Intention To Purchase ◽  
Consumer Lifestyles ◽  
The Impact

<p>The study is to present the impact of changing consumer lifestyle on intention to purchase towards green and <em>Halal</em> foods of the chicken meat industry in Malaysia. The objective of the study is to investigate the factors affecting on intention to purchase towards green and <em>Halal</em> foods of the chicken meat industry in Malaysia. Those factors are natural content, convenience, knowledge of <em>Halal</em> and green foods issue, familiarity, price consciousness, attitude towards purchasing and demographic profile. There are 377 respondents with using simple random sampling and questionnaires for interviewing. Descriptive analysis, correlation, ANOVA and factor analysis will be tested into this study. This study would be provided the benefits of consumers’ lifestyle towards the intention to purchase towards green and <em>Halal</em> foods as the selecting of the chicken meat in consumer market. Moreover, the implication of this study is to get the niche market (which is <em>Halal</em> and green marketing) knowledge and information towards the chicken meat industry in Malaysia.</p>

scholarly journals EFISIENSI PRODUKSI USAHATANI SAYURAN (CABAI, SAWI DAN KUBIS) DI KOTA PAGAR ALAM PROVINSI SUMATERA SELATAN

2020 ◽  
Vol 8 (2) ◽  
pp. 326
Author(s):  
Olpa Fuji Lestari ◽  
Ali Ibrahim Hasyim ◽  
Suriaty Situmorang
Keyword(s):  
Key Words ◽  
Technical Efficiency ◽  
Economic Efficiency ◽  
Nitrogen Fertilizer ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Potassium Fertilizer ◽  
Factors Affecting ◽  
Vegetable Farming ◽  
Frontier Production Function

This research aims to analyze the factors that affect production of vegetable (chili,mustard and cabbage)farming and the technical efficiency. The research was conducted in North Dempo and South Pagar Alam Subdistrict of Pagar Alam. Farmer respondents were chosen by using simple random sampling. Data were collected in May–Juny 2018 and analyzed using Cobb-Douglas production functionnamely frontier production function. The results showed that factors affecting the production of chili farming are area lands, seeds and nitrogen fertilizer. Factors affecting the production of mustard farming are landsize, seeds and potassium fertilizer, and pesticide. Factors affecting the production of cabbage farming are area landslandsizeand manure. Vegetable farming (chili, mustard and cabbage) is on an increasing return to scale (Ep>1) or in irrational area so that it does not meet the requirement for economic efficiency. Chili and mustard farming are technically efficient with an efficiency level greater than 70,00%. The level of technical efficiency of chili farming is 86,99% and mustard farming is 80,08%. Cabbage farming is not technically efficient because the efficiency level is below 70,00%, that is 68,72%.Key words: efficiency, farming, vegetable

scholarly journals Factors Affecting the Income of Rural Women: An Evidence from District Faisalabad, Pakistan

2020 ◽  
Vol 2 (3) ◽  
pp. 80-85
Author(s):  
Rubina Akhtar ◽  
Muhammad Amjed Iqbal ◽  
Allah Bakhsh
Keyword(s):  
Rural Women ◽  
Rural Areas ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Total Sample ◽  
Factors Affecting ◽  
The Government ◽  
One Year ◽  
The Impact

The fundamental point of the investigation was to assess the effect of various components on the pay of rural women in the region Faisalabad. For this, a stratified sampling procedure was utilized. At the first stage, the Faisalabad district was chosen purposively. In the second stage, five regions of each class were chosen through a simple random sampling technique. The total sample size was comprised of 150 respondents. A pre-tested questionnaire was used to gather the information from chosen respondents through the personal interview technique. Descriptive Statistics were used to explore the socio-economic characteristics of rural women. Multiple linear regression analysis was used to estimate the impact of different factors affecting the income of rural women. According to the estimated results, the age of the respondents has a positive and highly significant impact. This indicates that one year increase in the age of women would increase her income by 0.314 units. The estimated result of education described that for every one year in an increase in schooling year of women will increase the income by 0.191 unit. The variable of family sizes of the respondents has a significant and positive effect on the respondent’s income. Working hours of the respondents have a positive and significant effect on respondent’s income. The satisfaction of the respondents has a positive and significant effect on the respondent’s income. Female participation in the market increases with the growing levels of higher education. It is recommended that the government should provide education to the females especially in rural areas.

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