scholarly journals VALUE-CHAIN ANALYSIS OF GINGER SUB-SECTOR IN SOLUKHUMBU DISTRICT, NEPAL

2021 ◽  
Vol 1 (2) ◽  
pp. 127-133
Author(s):  
Sovit Parajuli ◽  
Krishna Bahadur Thapa ◽  
Kusum Adhikari ◽  
Bishal Mahatara ◽  
Srijan Budhathoki
Keyword(s):  
Value Chain ◽  
Sampling Technique ◽  
Value Chain Analysis ◽  
White Grub ◽  
Rural Municipality ◽  
Household Level ◽  
Chain Analysis ◽  
Level Data ◽  
Simple Processing ◽  
Additional Income

Survey research was carried out on Value Chain Analysis of Ginger Sub-Sector in Solukhumbu district with an objective of finding the value chain of ginger in Solukhumbu district of Nepal. Household level data from 60 household from Necha-Salyan rural municipality and Thulung Dudhkoshi rural municipality were sampled using random sampling technique. Few Local traders, wholesaler and retailers were also interviewed. Average area under ginger cultivation was found 2.35 ropani. Average cost of production per ropani was Rs. 14450.38 and majority of production cost of the production was covered by seed. The productivity of ginger in study area was 8.22 Mt/ha which was lower than national average and higher than the district productivity. The average price of the fresh ginger was Rs. 85.63/kg and Rs.200/kg for the dried ginger. Price fluctuation, lack of proper market, white grub, rhizome rot, lack of road access were the major problems for ginger grower in Solukhumbu District. Despite many problems, ginger cultivation in the study area was profitable business with B/C ratio 2.37 and B/C ratio of dried ginger was 1.13. Most of the sampled farmers were involved in the farming for their livelihood. Improved cultivation practices with recommended variety, timely plantation and seed treatment, simple processing like cleaning, sorting and grading are of immediate need to generate additional income to the producer.

Value chain analysis of ginger in Panchthar District, Nepal

2019 ◽  
Vol 4 (02) ◽  
pp. 148-151
Author(s):  
Rupak Karn ◽  
Answiya Neupane ◽  
Suman Bhattarai ◽  
Saurav Neupane ◽  
Pankaj Raj Dhital
Keyword(s):  
Value Chain ◽  
Group Discussion ◽  
Market Price ◽  
Sampling Technique ◽  
Household Survey ◽  
Value Chain Analysis ◽  
Rural Municipality ◽  
Chain Analysis ◽  
Agriculture Modernization ◽  
Production Area

The study was conducted to assess the value chain of ginger sub-sector in Hiliyang Rural Municipality, Panchthar District, Nepal. The study was conducted in ward No 6 and 7 of Hiliyang Rural Municipality under the area of block of ginger under Prime Minister Agriculture Modernization Project. The methodological tools such as household survey with 60 ginger producers using interview schedule, key informants interview and rapid market appraisal with ginger producers and focus group discussion among local traders, local collectors, and district level traders were used to collect information. The ginger producers were sampled using random sampling technique and the data were collected in 2018, Feb-June. It was found that majority of the respondents had agriculture as their primary occupation with average land holding area 0.944 ha with average ginger production area 0.088 ha. The average yield of the ginger was 12.40 MT/ha with average cost of production of ginger Rs.17.68/kg. Majority of the respondents had known about the trending price of ginger via local collectors and traders. Fresh ginger was the only product exported from the district as value addition was very nominal. Only cleaning, sorting and packaging activities were performed by the farmers who sold their produce to local traders who in turn supplied to exporter of Birtamode. The trend of ginger cultivation was found to be decreasing. Low as well as fluctuating market price, lack of proper storage and processing facilities were regarded as major problems in ginger marketing. Rhizome rot and Khumle kira was found as the main hindrance in ginger production. This research explored the existing scenario of ginger value chain and its major constraints in the study area.

scholarly journals VALUE CHAIN ANALYSIS OF TEFF IN EAST WOLLEGA, ETHIOPIA

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Temesgen Kabeta ◽  
Jema Haji ◽  
Rijalu Negash Abarago
Keyword(s):  
Value Chain ◽  
Sampling Technique ◽  
Value Chain Analysis ◽  
Secondary Sources ◽  
Governance Systems ◽  
Chain Analysis ◽  
Predicted Probability ◽  
Coefficient Of Concordance ◽  
Multistage Sampling

This study attempted to analyze the teff value chain in the Jimma Arjo District of East Wollega Zone, WesternEthiopia. The multistage sampling technique was employed to draw a sample of 123 teff producers, purposively selected 55 traders and 15 consumers. Both quantitative and qualitative data were collected from primary and secondary sources using pre-tested structured questionnaires and checklists. Descriptive statistics and Kendall’s coefficient of concordance were applied to analyze data. Results showed that the main teff value chain actors in the study area included input suppliers, producers, local collectors, wholesalers, retailers, andconsumers. In the district, there were no proper upgrading practices and governance systems in the teff value chain. The predicted probability that teff producers choose local collectors, wholesalers, retailers, and consumer outlets amounted to 45%, 69.9%, 20.4%, and 74.6%, respectively. Kendall’s coefficient of concordance (W) analysis showed that 68.5% and 46.2% of farmers agreed with each other on the ranking of constraints hindering teff production and marketing, respectively. Recommendations drawn from the study findings include the need to improve the input supply system and governance, eliminate issues found in the chain, train farmers, enhance the quality of market information, boost teff productivity and volume sales, strengthen the links between teff value chain actors, and improve support institutions.

scholarly journals Factors Affecting and Marketing Chain of Ginger in Salyan District, Nepal

2018 ◽  
Vol 6 (2) ◽  
pp. 127-131
Author(s):  
Kapil Khanal
Keyword(s):  
Value Chain ◽  
Bargaining Power ◽  
Percent Level ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Primary Data ◽  
Small Scale ◽  
Value Chain Analysis ◽  
Cross Sectional ◽  
Chain Analysis

Ginger is the potential high value sub-sector in Nepal for small scale farmers’ livelihoods. In this context, this research was conducted in 2016 to analyze value chain of ginger sub-sector in Salyan district of Nepal. Dadagaun and Tharmare VDCs of Salyan were purposively selected for the study. Primary data were collected using semi-structured questionnaire for household survey as well as focus group discussion (FGD), key informant interview (KII) and rapid market appraisal (RMA) survey were used. Household level cross-sectional data from 140 households (70 from Dadagaun and 70 from Tharmare VDC) were sampled using simple random sampling technique. Descriptive statistics, and value chain analysis were used to analyse data. Average land under ginger cultivation was 1.62 ropani which was higher in Dadagaun (2.17 ropani) than Tharmare (1.07 ropani) and found statistically significance different at 1 percent level. The average marginal cost of fresh ginger was NRs. 12.15/kg. Local traders were the major market actor influencing the price of ginger and bargaining power as the major factor whereas farmers were seemed weaker in the value chain due to low bargaining power with lack of market information. Huge marketing margin (NRs. 94/kg) and low producers share (14.55%) showed that there was no strong linkage between the producers and traders. This study revealed that ginger value chain analysis in the study area found very unstructured and poor strengthening of business enabling environment, unorganized functional market chain and poor inputs and service provision.  Int. J. Appl. Sci. Biotechnol. Vol 6(2): 127-131

scholarly journals Value chain analysis of Large Cardamom (Amomum subulatum Roxburg) in Bhojpur, Nepal

2020 ◽  
Vol 3 (1) ◽  
pp. 95-116
Author(s):  
Dharmendra Kalauni ◽  
Arati Joshi
Keyword(s):  
Value Chain ◽  
Sampling Technique ◽  
International Markets ◽  
Cost Ratio ◽  
Value Chain Analysis ◽  
Benefit Cost Ratio ◽  
Chain Analysis ◽  
Amomum Subulatum ◽  
Benefit Cost ◽  
Large Cardamom

Large Cardamom is a high value spice crop having substantial export potential. The study was conducted on Feb-May, 2019 in Arun rural municipality, Bhojpur municipality and Sadananda municipality with an objective to analyze existing value chain of Large Cardamom in Bhojpur district of Nepal.  In total, 150 Large Cardamom growers were selected using purposive sampling technique. In addition to that, 17 traders from the Bhojpur, Khadbari and Birtamod were also selected for the study. Findings showed that farmers were interested in Large Cardamom industry due to good return and high profit margin per unit of commodity. The benefit-cost ratio was found higher in Arun village municipality (1.735), followed by Sadananda municipality (1.467) and Bhojpur municipality (1.263). Increasing disease and pest attack and low seasonal price are the major problem in production and marketing of Large Cardamom respectively. Harvested capsules of Large Cardamom were dried using traditional drier (bhatti) that make the dried capsules prone to quality degradation. Value addition practices such as grading, tail cutting were found poor in farmer level. Producer’s share and marketing efficiency were found highest when farmers sell their product directly to exporter and lowest in domestic market channel. Demand and supply of Large Cardamom in Indian market was most determining factor for price fixation of Nepalese Large Cardamom. Thus from the study it is recommended to improve production process through appropriate mechanization, along with possible efforts in identification of potential international markets and possible ways for direct export to third countries which could help farmers to receive higher price.

scholarly journals ANALISIS RANTAI NILAI IKAN CAKALANG DI KOTA AMBON, MALUKU

2017 ◽  
Vol 12 (1) ◽  
pp. 93
Author(s):  
Estu Sri Luhur ◽  
Risna Yusuf
Keyword(s):  
Supply Chain ◽  
Cold Storage ◽  
Value Chain ◽  
Distribution System ◽  
Value Added ◽  
Sampling Technique ◽  
Marketing Channel ◽  
Value Chain Analysis ◽  
Snowball Sampling ◽  
Chain Analysis

Tulisan ini bertujuan untuk mengkaji rantai nilai komoditas ikan cakalang sehingga diperolehbesaran nilai tambah dan tingkat efisiensi pada setiap simpul rantai pasok. Data yang digunakan adalahdata primer dan sekunder dari instansi terkait dan pelaku usaha. Data dikumpulkan melalui wawancarakepada responden dengan teknik purposive dan snowball sampling. Data selanjutnya dianalisis dengananalisis nilai tambah, rantai pasok dan rantai nilai. Hasil penelitian menunjukkan bahwa pemasaranikan cakalang memiliki tiga saluran distribusi yaitu: (1) dari nelayan ke pedagang pengumpul danke pedagang pengecer; (2) dari nelayan ke pedagang pengumpul kemudian ke pengolah ikan asar,dan; (3) dari nelayan ke UPI/cold storage. Analisis rantai pasok menunjukkan bahwa ikan cakalangsebagian besar (50%) didistribusikan ke UPI/cold storage dan sisanya dengan porsi yang sama (25%)didistribusikan ke pedagang pengecer dan pengolah ikan asar. Analisis rantai nilai menunjukkan bahwanilai tambah terbesar dihasilkan pada saluran pemasaran kedua, yaitu sebesar Rp.23.062/kg. Simpulrantai pasok nelayan cenderung tidak efisien pada ketiga saluran pemasaran. Rekomendasi kebijakanyang diusulkan: (1) koordinasi dengan Bappeda dan Dinas Perindustrian dan Perdagangan sebagaiupaya pengembangan industrialisasi ikan cakalang; (2) melakukan introduksi dan penyebaran teknologipengolahan ikan cakalang dari Balitbang KP dan perguruan tinggi setempat untuk meningkatkan nilaitambah produk, dan; (3) memperluas akses pasar dengan mengefisienkan sistem distribusi, baik melaluijalur laut maupun udara.Title: Value Chain Analysis of Skipjack Tuna in Ambon, MalukuThe purpose of this research was to analyze value chain of skipjack to get a quantity valueand a level of efficiency on each node supply chain. Research was conducted by using the primaryand secondary data from various relevant agencies and businessmen. Data collection was conductedthrough interview to respondent with using purposive and snowball sampling technique. Data wereanalyzed with value-added, supply chain and value chain analysis. The result showed that there werethree distribution channels of skipjack: (1) fisher’s to broker and to retailers; (2) fisher’s to broker and tofish processors, and; (3) fisher’s to cold storage. Supply chain analysis showed that mostly of skipjack(50%) distributed to cold storage and the rest distributed to retailers (25%) and fish processors (25%).Value chain analysis showed in the second marketing channel has the the largest value added, that isas 23.062 IDR per kilograms. On the third marketing channel, fisherman tend has an ineffiencent supplychain. Therefore,there are some recommendations are: (1) doing coordination among Bappeda,industryand trade office as an effort of developing skipjack industrialization; (2) doing introduction and spread ofprocessing technology of agency’s research and development of marine affairs and fisheries and localuniversity to increase value added products, and; (3) expanding market access both of air and sea routesfor having efficient distribution system.

scholarly journals VALUE CHAIN ANALYSIS OF FISH IN KARAIYAMAI RURAL MUNICIPALITY, BARA DISTRICT OF NEPAL

2021 ◽  
Vol 1 (1) ◽  
pp. 01-13
Author(s):  
Anish Paudel ◽  
Amrita Paudel ◽  
Bikash Gurung ◽  
Sushil Shrestha ◽  
Uttam Poudel ◽  
...  
Keyword(s):  
Value Chain ◽  
Marketing Channel ◽  
Simple Random Sampling ◽  
Primary Data ◽  
Value Chain Analysis ◽  
Gross Margin ◽  
Rural Municipality ◽  
Average Productivity ◽  
Chain Analysis ◽  
Chain Map

The research entitled “Value chain analysis of fish in Karaiyamai Rural Municipality, Bara district of Nepal” was conducted in 2020 focusing on the chain of actors involved in supplying inputs to the farmers and thereby supplying finished product to the ultimate consumers through various market intermediaries. The survey research design was used for the study where respondents (60 farmers of Karaiyamai Rural Municipality and 15 traders of Jeetpursimara Sub-Metropolitan City) were selected using simple random sampling techniques. Primary data was collected using pre-tested semi-structured questionnaire and secondary data were obtained from various articles and related documents. Descriptive statistics and indexing techniques were used for the analysis of data for which MS-Excel and SPSS-23 were used. Average cost of production was NRs. 996516.92/ha. The average productivity of fish in the study area was highest (7024.42 Kg/ha) than the national average productivity (4920 Kg/ha), and district average (5298 Kg/ha). Various production and marketing problems were faced by respondents as untimely availability of inputs, poor water supply units, and poor storage facilities. Despite these problems, the fish production was a profitable business (B: C ratio: 2.01) with high gross margin value. The marketing channel of input suppliers – producers – wholesalers – retailers – consumers was found effective. There was a low marketing margin and higher producer share on the retail price that indicates an efficient market system. Hereby, the study of value chain actors and construction of value chain map symbolizes; there are good prospects of fisheries business with commercialization and risky but profitable enterprise.

scholarly journals Value Chain Analysis of Sesame the Case of Bench Maji Zone, Southwest Ethiopia

2019 ◽  
pp. 226-236
Author(s):  
Engida Gebre ◽  
Kusse Haile ◽  
Agegnehu Workye
Keyword(s):  
Value Chain ◽  
Secondary Data ◽  
Sampling Technique ◽  
Probit Model ◽  
Value Chain Analysis ◽  
Factors Affecting ◽  
Southwestern Ethiopia ◽  
Transport Services ◽  
Chain Analysis ◽  
Major Factors

This study was analyzed value chain analysis of sesame in Bench Maji Zone of Southwestern, Ethiopia. It was specifically aimed to address the research gaps by, identifying the major value chain actors and mapping the value chain, and identifying major factors affecting market outlet choices of sesame producers in Meinit Goldya and Guraferda Districts. For addressing these objectives the study used both primary and secondary data obtained from field survey and desk review. Multistage random sampling technique was used to draw 270 sesame producers. Descriptive statistics and econometric method of data analysis were used to analyze the data. The major value chain actors for sesame marketing in the districts were producers, wholesalers, rural collector, cooperatives, broker/commission agents, retailers, local consumers, ECX, exporters and non-governmental organizations. The multivariate probit model results indicated that Years of experiences, Coop membership, household size, Education level, Land under sesame, Quantity supply, participating in training and distance to nearest market significantly influenced sesame producer’s choice of market outlet. Depending on results of this study recommend that strengthening farmers sesame cooperative and enhancing the financial capacity of cooperative, improving accessibility of Transport services and developing infrastructure, improving farmers’ knowledge through adult education as well as their experience sharing with other sesame producing farmers, improving productivity through strengthening supportive institutions(extension service provider) motivating sesame producing farm household to participate different training. Therefore, those important socioeconomic and institutional factors which are mentioned above must take into account to improve the productivity of sesame in the study area.

Strategic Planning Information Systems Enterprise Architecture Planning Method Case Study of Semarang City Public Works Department

2020 ◽  
Vol 2 (1) ◽  
pp. 114-122
Author(s):  
Agustinus Fritz Wijaya ◽  
Mahendra Wahyu Prasetyo
Keyword(s):  
Information Systems ◽  
Value Chain ◽  
Enterprise Architecture ◽  
Business Processes ◽  
Swot Analysis ◽  
Public Works ◽  
Value Chain Analysis ◽  
Application Architecture ◽  
Chain Analysis ◽  
The City

Semarang City Public Works Department is a state-owned enterprise that works in the area of public services in the city of Semarang. Most of the technological conditions in the Public Works Department are still in manual data management, which is hampering business processes from going well. Therefore this research was conducted to design an Information System at the Semarang City Public Works Department using the Enterprise Architecture Planning (EAP) method which includes a SWOT analysis and Value Chain analysis. The existing framework in the Enterprise Architecture Planning (EAP) method can help align the data architecture and application architecture to get the expected results, which is achieving the business objectives of the City of Semarang Public Works Department so that business functions can run by the desired business processes. This research resulted in several proposals for the development of Information Systems and Information Technology in organizations including the development of several applications in the next 5 years.

Value chain analysis of honey bee (Apis mellifera) products in Chitwan, Nepal

2020 ◽  
Vol 7 (1) ◽  
pp. 26-35
Author(s):  
Suman Bhattarai ◽  
Subodh Raj Pandey ◽  
Santosh Kumar Bhattarai ◽  
Rupak Karn ◽  
Suraj Gurung ◽  
...  
Keyword(s):  
Apis Mellifera ◽  
Honey Bee ◽  
Value Chain ◽  
Value Chain Analysis ◽  
Chain Analysis

PEMETAAN RANTAI NILAI IKAN PELAGIS KECIL DI KOTA AMBON

2018 ◽  
Vol 2 (1) ◽  
pp. 15-21
Author(s):  
Yolanda MTN Apituley ◽  
Dionisius Bawole ◽  
Imelda KE Savitri ◽  
Friesland Tuapettel
Keyword(s):  
Value Chain ◽  
Secondary Data ◽  
Pelagic Fish ◽  
Value Chain Analysis ◽  
Small Pelagic Fish ◽  
Fresh Fish ◽  
Chain Analysis ◽  
The Government ◽  
Market Distance ◽  
Role Of The Government

This research was taken in Ambon (Latuhalat and Laha) and in Central Maluku Regency (Waai) in May – July 2018. It was aimed at mapping the value chain of small pelagic fish in Ambon through: 1) mapping of product, financial and information flows and 2). analysis of percentage distribution of small pelagic fish caught. The data used in this study was primary and secondary data, and analyzed by using value chain analysis. The results show that small pelagic fish marketing chain in Ambon consisted of six models with five actors. Each chain is formed due to the conditions and situation of market, resulted by the influencing of catches of fishermen and traders' capital. The broker plays an important role in marketing small pelagic fish in the market and obtaining 10% of the fishermen's catch that can be distributed, both to retailers and cold storage. Fish caught by the fishermen is still fresh in general when arrives in the consumers, because the fishing area is not too far, the market distance with the production centers is also quite close and in general fishermen and traders have understood the importance of maintaining product quality. Even so, the role of the Government in providing marketing facilities and infrastructure is needed so that modern market conditions can be applied in marketing fresh fish in Ambon.

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