scholarly journals Stochastic Analysis of Ragi (Eleusine coracana) Production in Karnataka

2021 ◽  
Vol 10 (11) ◽  
pp. 67-72
Author(s):  
K. R. Naveen Kumar Dagam Sindhu ◽  
M. P. Sharath Kumar R. B. Singh
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Stochastic Analysis ◽  
Secondary Data ◽  
Eleusine Coracana ◽  
Diagnostic Study ◽  
Series Production ◽  
Production Factors ◽  
Support Price ◽  
Rate Study

The purpose of present study was to describe the growth rate study for some time series production factors of ragi and also making of diagnostic study for detecting some influential time series production factors governing total ragi production in Karnataka and also in India during the period 1993 -2017. The secondary data was collected for analysis from Directorate of economics and statistics and http://indiastat.com. The maximum compound growth rate of MSP of ragi was observed in India as well as in Karnataka. Whereas negative CGRs were recorded for ragi production in India as well as Karnataka. The productivity and area of ragi had positive and significant correlation with ragi production in India, whereas ragi production of India had negative and significant correlation with value of output and minimum support price. These factors were found important for total ragi production of India.

scholarly journals Aquaculture Production and Consumption of Fish in India

2021 ◽  
Vol 10 (1) ◽  
pp. 21-26
Author(s):  
Dhanya Sai Das ◽  
R Govindasamy
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Food Security ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Food Protein ◽  
Fish Production ◽  
Total Fish ◽  
The Government

Aquaculture and fisheries emerged as an important source of food, protein, nutrition, livelihood and employment for the majority of the rural population. The fisheries sector has registered a sustainable and astounding growth rate over the last decade. The sector offers an attractive and promising future for employment, livelihood and food security. The study is based on the available secondary data from different aspects of fishery statistics published in Handbook on Fisheries Statistics 2020 by the Government of India and other related articles. Data for the time series analysis was taken from 2001-02 to 2017-18. It is found that the world per capita apparent consumption of fish has been increased by 10.4 kg from the 1960s (i.e., 9.9 kg) to 2016 (i.e., 20.30 kg). By analysing the time-series data, it is evident that the total fish production, including both marines and inland, has shown an astounding growth with a Compound Growth Rate of 4.58. The regression equation was Y = 5.182X – 12267, R2 value was 0.9414 where Y is the total fish production (dependent variable) and X is the total fish seed production (independent variable). There exists a positive relationship between fish seed and fish production in the country. It can be concluded that aquaculture plays a significant role in the country’s GDP rate and food security.

Decomposition analysis and acreage response of pigeonpea in western Vidarbha

2016 ◽  
Author(s):  
M. Vikram Sandeep ◽  
S. S. Thakare ◽  
D. H. Ulemale
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Coefficient Of Variation ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Secondary Data ◽  
Pigeon Pea ◽  
Series Data ◽  
Response Analysis ◽  
Instability Index

In the present investigation, an attempt was made to study the decomposition and acreage response of pigeonpea in western Vidarbha. The study was based on time series secondary data on the rainfall, farm harvest prices and other data, which were obtained from various Government publications. Nerlovian lagged adjustment model (1958) was used in acreage response analysis based on time series data. The study revealed that the compound growth rate for area and production under pigeon pea was recorded high during period I in all the districts. During period II, the area, production and productivity of pigeonpea registered mostly negative growth rates in all the districts. During period III, the compound growth rate for area, production and productivity under pigeonpea has increased in all the districts of western Vidarbha region. At overall period, the coefficient of variation and Coppock's instability index for area, production and productivity were high for pigeonpea in Akola district compared to other districts and coefficient of variation and Coppock's instability index for production and productivity were lowest for pigeonpea in Amravati district. At overall period, in pigeonpea, the area effect (56.61%) was most responsible factor for increasing production in Amravati division with positive yield and interaction effect i.e. 18.91 per cent and 23.75 per cent respectively.

scholarly journals An economic analysis of cost, return and profitability of groundnut across leading states of India

2020 ◽  
Vol 11 (2) ◽  
pp. 278-284
Author(s):  
Prasanna Kolar ◽  
P.K. Awasthi ◽  
Ankita Sahu
Keyword(s):  
Growth Rate ◽  
Tamil Nadu ◽  
Secondary Data ◽  
Annual Growth Rate ◽  
Net Income ◽  
Minimum Support ◽  
Support Price ◽  
Cost Of Production ◽  
The Difference ◽  
The Cost

The current study was undertaken with the objectives to estimate the dynamics of cost, returns, profitability and break-even production of groundnut across the leading states of India. For that secondary data were collected from Directorate of Economics and Statistics for the period 1996-97 to 2015-16. For statistical analysis tools like relative change, compound growth rate and cuddy della valle index were used. The study found that Cost A1, cost A2, cost B1 and cost C1 of groundnut in Gujarat and cost B2, cost C2 and cost C2 revised in Andhra Pradesh were found to be increased at higher annual growth rate during the study period than any other states. These cost concepts showed high instability for almost all the leading states. Groundnut was more profitable in Gujarat due to higher net income and B:C ratio than other states. Differential yield and the difference between the cost of production and minimum support price were found better among Gujarat and Tamil Nadu states. In other states, the actual yield was lower than break-even and the cost of production was higher than minimum support price leading to the losses for the groundnut growers.

STABILITAS HARGA IKAN DI KOTA AMBON MELALUI PERAN COLD STORAGE, OPTIMASI PRODUKSI DAN EFISIENSI TEKNIS

2018 ◽  
Vol 2 (2) ◽  
pp. 74-84
Author(s):  
Stevanus Marelly Siahainenia ◽  
Dionisius Bawole ◽  
Eygner Gerald Talakua
Keyword(s):  
Cold Storage ◽  
Secondary Data ◽  
Raw Material ◽  
Primary Data ◽  
Survey Method ◽  
Production Factors ◽  
Flying Fish ◽  
Qualitative Descriptive ◽  
Installed Capacity ◽  
Space Capacity

The purpose of this study was to find out the function of cold storage in stabilizing fish prices in Ambon City, analyzing optimal production levels of various types of dominant fish, and analyzing the level of efficiency of utilization of cold storage and auxiliary machinery. This study uses the survey method. Primary data collection through questionnaires is built empirically while secondary data is obtained from several agencies related to this study. The research sample was drawn by exhausting sampling, amounting to 6 cold storage units in Ambon City. The role of cold storage to stabilize fish prices was analyzed using a qualitative descriptive approach, while the quantitative techniques used included analysis of optimization of cold storage production with linear programming and analysis of the efficiency of utilization of cold storage. The results of the study show that cold storage has not played a role properly to stabilize fish prices in Ambon City. To achieve optimal use of production factors, the cold storage management needs to reduce the raw material by 24,915.9 kg / month; 7 HOK / month workforce; cold storage storage space capacity of 2.09 kg / month; and demand for flying fish 1,402.6 kg / month, while the use of production factors efficiently (fully utulized) is the capacity of the freezing machine, demand for tuna, skipjack, and cob. The level of technical efficiency of the utilization of cold storage facilities is reached, the total use of installed capacity must be proportional to the capacity used.

Construct Validity

2017 ◽  
Author(s):  
Richard McCleary ◽  
David McDowall ◽  
Bradley J. Bartos
Keyword(s):  
Time Series ◽  
Construct Validity ◽  
Hypothesis Test ◽  
Secondary Data ◽  
Time Frame ◽  
Primary Data ◽  
Optimal Time ◽  
Intervention Model ◽  
Right Hand ◽  
The Right

Chapter 8 focuses on threats to construct validity arising from the left-hand side time series and the right-hand side intervention model. Construct validity is limited to questions of whether an observed effect can be generalized to alternative cause and effect measures. The “talking out” self-injurious behavior time series, shown in Chapter 5, are examples of primary data. Researchers often have no choice but to use secondary data that were collected by third parties for purposes unrelated to any hypothesis test. Even in those less-than-ideal instances, however, an optimal time series can be constructed by limiting the time frame and otherwise paying attention to regime changes. Threats to construct validity that arise from the right-hand side intervention model, such as fuzzy or unclear onset and responses, are controlled by paying close attention to the underlying theory. Even a minimal theory should specify the onset and duration of an impact.

Effectiveness of Auctions in Securing Price Support for Farmers: The Case of a Grain Market in India

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Neha Gupta
Keyword(s):  
Lower Cost ◽  
Secondary Data ◽  
Price Support ◽  
Minimum Support ◽  
Minimum Price ◽  
Support Price ◽  
The Government ◽  
Nonparametric Estimates ◽  
The Impact ◽  
Analyze Data

Abstract This paper reviews rice procurement operations of Government of India from the standpoints of cost of procurement as well as effectiveness in supporting farmers’ incomes. The two channels in use for procuring rice till 2015, were custom milling of rice and levy. In the first, the government bought paddy directly from farmers at the minimum support price (MSP) and got it milled from private millers; while in the second, it purchased rice from private millers at a pre-announced levy price thus providing indirect price support to farmers. Secondary data reveal that levy, despite implying lower cost of procurement was discriminated against till about a decade back and eventually abolished in 2015 in favor of custom milling, better trusted to provide minimum price support. We analyze data from auctions of paddy from a year when levy was still important to investigate its impact on farmers’ revenues. We use semi-nonparametric estimates of millers’ values to simulate farmers’ expected revenues and find these to be rather close to the MSP; a closer analysis shows that bidder competition is critical to this result. Finally, we use our estimates to quantify the impact of change in levy price on farmers’ revenues and use this to discuss ways to revive the levy channel.

Profitability and Firm Size–Growth Relationship in Construction Companies in Malaysia From 2003 to 2010

2014 ◽  
Vol 17 (03) ◽  
pp. 1450014 ◽  
Author(s):  
Devinaga Rasiah ◽  
David Yoon Kin Tong ◽  
Peong Kwee Kim
Keyword(s):  
Growth Rate ◽  
Firm Size ◽  
Growth Process ◽  
Secondary Data ◽  
Annual Reports ◽  
Basic Study ◽  
Gibrat’S Law ◽  
Construction Companies ◽  
Gibrat's Law ◽  
Size Growth

In this study, we intended to examine empirically how a firm's profitability performance would impact its growth process and the inference for Gibrat's Law. The basic study looks at small, medium and large firms' tendency to grow when their internally generated profits are high. The sample is 124 construction companies listed from years 2003 to 2010 at BURSA Malaysia. Data used is secondary data collected from BURSA Malaysia and annual reports. The result indicated that "growth" contributed significantly to profitability in both small and medium-sized construction companies, but was not significant in large companies. Thus, hypothesis two was supported. This study supports Gibrat's Law, showing that size and growth rate are independent.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI KONSUMSI GAS DI INDONESIA

2021 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Rohim Rohim ◽  
Mike Triani
Keyword(s):  
Time Series ◽  
World Bank ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Industrial Growth ◽  
A Value ◽  
The World Bank ◽  
The World ◽  
Gas Consumption

The purpose of this research is to determine (1) the effect of income on gas consumption in Indonesia (2) the effect of population on gas consumption in Indonesia (3) the effect of industrial growth on gas consumption in Indonesia. This type of research is descriptive and associative. The data used in this research is secondary data from Indonesia in the form of time series data from 1970 to 2019 and this data was obtained from official institutions of the World Bank and BP Statistic World. The data were processed using multiple linear regression. The results showed that the income had a negative and significant effect on gas consumption with a probability value of 0.0005 <0.05, the population had a positive and significant effect on gas consumption with a value of prob t-count of 0.0010 <0.05 and industrial growth had a positive and significant effect on gas consumption.  The significant to gas consumption in Indonesia with a value of prob t-count value of 0.5219 <0.05 and suggestions for further researchers to be able to analyze other factors that affecting gas consumption in Indonesia.  Because from the gas sectors, there are still many factors that affected gas consumption until the research results will be better

scholarly journals Pengaruh Pengeluaran Pemerintah Dan Tingkat Pengangguran Terbuka (TPT) Terhadap Pertumbuhan Ekonomi Inklusif Indonesia

2021 ◽  
Vol 4 (1) ◽  
pp. 32-44
Author(s):  
Silvi Dewi Purwanti ◽  
Farida Rahmawati
Keyword(s):  
Growth Rate ◽  
Time Series

Penelitian ini dilatarbelakangi oleh adanya peningkatan pertumbuhan ekonomi merupakan tujuan bagi suatu Negara, yang didukung dengan pembangunan ekonomi. Namun pertumbuhan ekonomi di Indonesia selama tahun 2010-2019 belum menunjukkan hasil yang terus meningkat pada level nasional disamping itu kemiskinan dan ketimpangan yang belum dapat menurun. Kondisi tersebut bertolakbelakang dengan tujuan tercapainya pertumbuhan ekonomi inklusif. Penelitian ini bertujuan untuk mengukur dan menganalisis Pertumbuhan Ekonomi Inklusif dan faktor-faktor yang mempengaruhinya. Terdapat dua metode analisis yang digunakan dalam penelitian ini, yaitu analisis model Poverty-Equivalent Growth Rate (PEGR) dan analisis regresi linier berganda dengan data time series. Hasil penelitian menunjukan bahwa pada satu dekade terakhir pertumbuhan ekonomi inklusif di Indonesia belum konsisten tercapai setiap tahun. Hasil analisis regresi data time series menunjukkan bahwa variabel pengeluaran pemerintah bidang pendidikan dan pengeluaran pemerintah bidang kesehatan berpengaruh signifikan terhadap pertumbuhan ekonomi inklusif. Variabel pengeluaran pemerintah bidang pendidikan memiliki pengaruh yang berbanding terbalik terhadap pertumbuhan ekonomi inklusif, Sedangkan variabel tingkat pengangguran terbuka (TPT) berpengaruh tidak signifikan tehadap pertumbuhan ekonomi inklusif. Adapun upaya yang dapat dilakukan melalui  impikasi kebijakan pemerintah yaitu penguatan Program Indonesia Pintar (PIP), hingga pendidikan vokasi, penguatan program kesehatan melalui penambahan fasilitas kesehatan, perekrutan tenaga medis, hingga memaksimalkan kartu Indonesia sehat dan BPJS.

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