scholarly journals Growth in Vegetable Production and its Decomposition in Karnataka

2021 ◽  
Vol 66 (1) ◽  
Author(s):  
Afrin Zainab Bi
Keyword(s):  
Time Series Data ◽  
Leafy Vegetables ◽  
Series Data ◽  
Vegetable Production ◽  
Annual Growth Rate ◽  
Total Production ◽  
Great Opportunity ◽  
Nutritional Security ◽  
Cole Crops ◽  
Indian Agriculture

Vegetables are important constituents of Indian agriculture and nutritional security. Along with health benefits, vegetables help in flourishing countries economy, as it provides a great opportunity for income and employment generation for the farming sector. The study has an objective to understand the extent of growth each vegetable experiencing and to derive the major factor for the growth in Karnataka, utilizing time-series data. The total area showed an increasing trend over the period with about 40 % increase in a span of two decades. However, figures for increased production were more appealing than its area, as it has shown 60 % increase. Total production of vegetables in Karnataka has increased from 42 lakh tonnes in 1998-99 to 68 lakh tonnes in 2018-19, with an annual growth rate of 3.9 %. The highest growth in production was observed in onion (7.5% annually) followed by tomato and cole crops. The area effect was the most responsible factor for increasing production of tomato, onion, guards, cole crops and other vegetables group. Thus, in effect for overall vegetables, it is 66 % of the total increased production effect. However, for potato and leafy vegetables, only yield effect was found to be positively contributing to the production.

Municipal changes in Slovakia. The evidence from spatial data.

2020 ◽  
Vol 11 (1) ◽  
pp. 58-72
Author(s):  
Martin MARIS
Keyword(s):  
Spatial Data ◽  
Time Series Data ◽  
Population Sample ◽  
Series Data ◽  
Annual Growth Rate ◽  
The West ◽  
Compound Annual Growth Rate ◽  
Fast Growing ◽  
The North ◽  
Statistical Criteria

The main objective of the paper is to examine the evolution of spatial patterns of settlement network in Slovakia as a result of population rearrangement among municipalities based on time series data of 1993 - 2017. The objects of the research are municipalities, which during the searched period recorded unusual fast population growth or decline, far exceeding the chosen parameter of the population sample. The primary population sample consists of 2919 municipalities. The experimental samples consist of 563 of fast-growing municipalities and 413 of fast-declining municipalities, based on the chosen statistical criteria, what is the compound annual growth rate. The results have shown that fast-growing municipalities are predominantly situated on the West, surrounding the Bratislava agglomeration, on the North and the East surrounding the Kosice metropolis. Generally, they tend to cluster around the cities on the district and regional levels. Fast-declining municipalities predominantly situated in the Middle, along the Hungarian, Polish, and Ukrainian border on the South and the East of the country, respectively.

scholarly journals TREND, GROWTH RATE AND INSTABILITY ANALYSIS OF PRODUCTION, PRODUCTIVITY, AREA AND SUPPLY OF POTATO IN KAVREPALANCHOK DISTRICT, NEPAL

2021 ◽  
Vol 1 (2) ◽  
pp. 88-87
Author(s):  
Mahesh Rijal ◽  
Rabin Thapa ◽  
Arvind Srivastava ◽  
Gunakeshari Lamsal
Keyword(s):  
Growth Rate ◽  
Time Series Data ◽  
Annual Growth ◽  
Series Data ◽  
Annual Growth Rate ◽  
Wholesale Market ◽  
White Potato ◽  
Instability Analysis ◽  
Compound Annual Growth Rate ◽  
Future Production

A study was carried out to assess the trend of area, production, productivity and supply of potato in Kavre district, Nepal. The time-series data (1999/00 to 2017/18) were collected from the “Statistical Information on Nepalese Agriculture” published yearly by the Ministry of Agriculture and Livestock Development, Nepal and the data of potato (red and white) supply from Kavre to Kalimati wholesale market from 2000/01 to 2019/20 was collected from the official website of Kalimati market. The data were entered and analyzed using Microsoft Excel and XLSTAT. Mann-Kendall test (M-K) and Sen’s slope method were used for trend analysis. The results showed that the potato cultivation area increased by 341.786 ha/year, production increased by 8323.933 Mt/year and productivity increased by 0.231 Mt/ha/year from 1999/00 to 2017/18. Similarly, the red potato supply from Kavre to the Kalimati market increased by 13.412 Mt/year and the white potato supply decreased by 234.174 Mt/year during the period from 2000/01 to 2019/20. The instability analysis showed 34.41%, 41.36% and 11.16%. coefficient of variation for area, production and productivity while red potato and white potato supply showed 11.64% and 107.86% variation. The average annual growth rates for area, production and productivity of potato were 6.02%, 8.83% and 2.43%, respectively. Similarly, growth rate of red potato supply was 3.91% per annum while white potato supply decreased at the compound annual growth rate of 19.61%. Thus, an increasing trend of area, production and productivity and supply of potato along with a positive growth rate for the potato can be seen in the Kavre district. Findings from this study could be used to suggest necessary policy guidelines for future production and marketing strategies of potato in Kavre.

scholarly journals Analysis of trend in area, production and yield of major vegetables of Nepal

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Deepak Ghimire ◽  
Gunakeshari Lamsal ◽  
Bindu Paudel ◽  
Sushila Khatri ◽  
Bandana Bhusal
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Recent Trend ◽  
Series Data ◽  
Cruciferous Vegetables ◽  
Vegetable Production ◽  
Microsoft Excel ◽  
Production Sector ◽  
Reliable Source ◽  
Increasing Trend

Vegetable production is an important sector of economy for farmers in Nepal. The analysis was carried out to explore the trends in vegetable production sector in Nepal along with the recent trend of some major vegetables in terms of area, production and yield. The time series data from 1977/78 to 2016/17 (40 years) of vegetables production and 5 years data (2011/12 - 2015/16) of major vegetables were collected from reliable source and analysis was done through Microsoft Excel. The results show that between 1977/78 and 2016/17 the area under vegetables cultivation has jumped by 222.8% while production is increased by 728.21% and productivity is increased by 156.6% during this course. The result also reveals that during the period of 5 years (2011/12 - 2015/16), solanaceous and cruciferous vegetables has an increasing trend in area, production and yield except for the area under cultivation for eggplant (declined by 5.2%) and for radish (declined by 6.0%) respectively while cucurbitaceous vegetables has increasing trend in area and production but an declining trend in yield except for the yield of cucumber (increased by 15.8%). However, the trend of other major vegetables is seen highly fluctuating over the years. 

scholarly journals Total Factor Productivity Growth in Indian Agriculture

2010 ◽  
Vol 6 (4) ◽  
pp. 286-298 ◽  
Author(s):  
Amarnath Tripathi
Keyword(s):  
Total Factor Productivity ◽  
Economies Of Scale ◽  
Time Series Data ◽  
Market Access ◽  
Output Growth ◽  
Series Data ◽  
Factor Productivity ◽  
Indian Agriculture ◽  
The People ◽  
Future Growth

n this study, time series data has been related to broad agricultural outputs which included farming, livestock, forestry, and fisheries and 3 conventional inputs: labour, land, and capital, to construct an index of total factor productivity (TFP) between 1969-70 to 2005-06. A TFP index is simply the ratio of an output index to an input index. Therefore, growth in TFP is the residual share of output growth after accounting for changes in land, labor, and other conventional agricultural inputs. Changes in TFP can be interpreted as a measure of the collective contribution of non-conventional inputs in agriculture, such as improvements in input quality, market access, economies of scale, and technology. What emerges from this exercise is a picture that raises concern about future growth in Indian agriculture, and the welfare of the people who depend on agriculture for their livelihood. Agricultural productivity in India appeared to stagnate in the late 1990s after enjoying two decades of rapid growth.

scholarly journals A Statistical Analysis on Production of Chili and Its' Prospect in Bangladesh

2015 ◽  
Vol 4 (1) ◽  
pp. 55-62
Author(s):  
Sayed Mohibul Hossen
Keyword(s):  
Time Series Data ◽  
Cultural Practices ◽  
Sweet Pepper ◽  
Vital Role ◽  
Data Availability ◽  
Series Data ◽  
Hot Pepper ◽  
Total Production ◽  
B Vitamin ◽  
Almost All

Chili is one of the most significant marketable crops of Bangladesh. It is grown almost all over the country. There are more than 400 different varieties of Chili’s found all over the world. It is also called as hot pepper, sweet pepper, bell pepper, etc. Both chili and capsicum belong to same family as well as same genus that is Capsicum. C. frutescent is used for their small and very pungent fruits in hot sauces and as spices. It contains large amounts of vitamin C, small amounts of carotene (Provitamin A), vitamin B, vitamin B6, potassium, magnesium, and iron (USDA Nutrient Database). Bangladesh is one of the best producers, but there is no enough industry for preserving this fruit. So, all the production become indeed in consumption. The aim of the research is to know the cultural practices of chili in Bangladesh and how to make sweetened chili dishes that can play a vital role in our economy. This research considers the annual time series data for the period 2001-02 to 2010-11 and over seven divisions of Bangladesh. The data have been collected from various publications of BBS (Bangladesh Bureaus of Statistics) and BARC (Bangladesh Agriculture Research Council), the data of districts have been aggregated for seven divisions namely, Dhaka, Chittagong, Rajshahi, Khulna, Barisal, Sylhet, and Rangpur. Realizing the limitations of data availability, only nine variables are considered in the present research. Total production of Chili is taken as the dependent (endogenous) variable. The price of the Chili and seven divisions are considering as independent (exogenous) variables. The number of variables to be included in the model depends on the nature of the phenomenon under consideration and the purpose of the research.  

Mapping pond aquaculture for the entire coastal zone of Asia using high resolution Sentinel-1 and Sentinel-2 data 

2021 ◽  
Author(s):  
Marco Ottinger ◽  
Felix Bachofer ◽  
Juliane Huth
Keyword(s):  
Coastal Zone ◽  
Time Series Data ◽  
Earth Observation ◽  
Machine Learning Algorithms ◽  
Series Data ◽  
World Population ◽  
Total Production ◽  
Pond Aquaculture ◽  
Continental Scale ◽  
Sentinel 2

<p>Asia is the world’s most important region for aquaculture and generates almost 90 percent of the total production. The farming of fish and shrimp in land-based aquaculture systems expanded mainly along the shorelines of South Asia, Southeast Asia, and East Asia, and is a primary protein source for millions of people. The production of fish and shrimp in freshwater and brackish water ponds in coastal regions of Asia has increased rapidly since the 1990s due to the rising demand for protein-rich foods from a growing (world) population. The aquaculture sector generates income, employment and contributes to food security, has become a billion-dollar industry with high socio-economic value, but has also led to severe environmental degradation. In this regard, geospatial information on aquaculture can support the management of this growing food sector for the sustainable development of coastal ecosystems, resources and human health.</p><p>With free and open access to the rapidly growing volume of data from the European Sentinel satellites as well as using machine learning algorithms and cloud computing services, we extracted coastal aquaculture at a continental-scale. We present a multi-sensor approach which utilizes Earth Observation time series data for the mapping of pond aquaculture within the entire Asian coastal zone, defined as a buffer of 200km from the coastline. In this research, we developed an object-based framework to detect and extract aquaculture at single pond level based on temporal features derived from high spatial resolution SAR and optical satellite acquired from the Sentinel-1 and Sentinel-2 satellites. In a second step, we performed spatial and statistical data analyses of the Earth observation derived aquaculture dataset to investigate spatial distribution and to identify production hotspots in various administrative units at regional, national, and sub-national scale.</p>

scholarly journals AN IMPACT ASSESSMENT OF COVID-19 ON THE SOUTH AFRICAN AUTOMOTIVE INDUSTRY

2021 ◽  
Vol 9 (3) ◽  
pp. 208-216
Author(s):  
Ephrem Habtemichael Redda ◽  
◽  
Jhalukpreya Surujlal ◽  
Keyword(s):  
Impact Assessment ◽  
South African ◽  
Automotive Industry ◽  
Time Series Data ◽  
Series Data ◽  
Positive Trend ◽  
Annual Growth Rate ◽  
The South ◽  
Quantitative Analyses ◽  
The Government

The purpose of this article is to provide an impact assessment of Covid-19 on the South African automotive industry. The study is exploratory in nature and employs descriptive quantitative analyses. Monthly time series data (01/2000-01/2021) available from Statistics South Africa (StatsSA) were used for analysis and to achieve the objectives of the study. The results indicate that since the beginning of March 2020, all categories started to show significant contraction, and the worst negative growth was observed in April at the height of the Covid-19 pandemic regulations imposed by the government. Measured in nominal values at current prices and compared on a year-on-year (YOY) basis, the largest negative annual growth rate (contraction) was in used vehicle sales, followed by new vehicle sales, income from sales of accessories, workshop income, fuel sales, and convenient store sales. The overall YOY actual motor trade sales contracted by a massive 84%, and when seasonally adjusted, by 81%. Led by used vehicle sales, the automotive industry was able to recover rather quickly as the restrictions imposed by the government were eased from May 2020 onwards. However, the overall performance of the industry is still in a worse state when compared to the preceding year, 2019. Looking forward, the gradual increase in overall motor trade sales suggests a positive trend of growth.

scholarly journals An Analysis of Religious Tourist Growth in Nepal

2016 ◽  
Vol 11 ◽  
pp. 20 ◽  
Author(s):  
Deo Narayan Sutihar
Keyword(s):  
Growth Rate ◽  
Time Series Data ◽  
Original Data ◽  
Annual Growth ◽  
Series Data ◽  
Annual Growth Rate ◽  
Economic Literature ◽  
Auto Correlation ◽  
Straight Line ◽  
Error Terms

<p>This article attempts to estimate annual growth rate of religious tourist to total tourist arrival ratio in Nepal, test the significance of annual growth rate of this ratio and evaluate the presence of auto-correlation among error terms using time series data of the ratio of religious tourist to total tourist arrival in Nepal from 1992 to 2010. The calculation of t-statistic exhibits that the growth rate of religious tourist to total tourist arrival ratio is significant. The D-W test shows that there is existence of positive auto- correlation among error terms. To remove the auto-correlation, the transformed variables have been used to estimate transformed equation of straight line and then it is found that there is no existence of auto-correlation among error terms after transforming the original data. </p><p><strong>Economic Literature,</strong> Vol. XI (20-25), June 2013 </p>

scholarly journals Production, yield and area growth of major winter vegetables of Bangladesh

2018 ◽  
Vol 16 (3) ◽  
pp. 492-502
Author(s):  
Sajia Sharmin ◽  
Sandip Mitra ◽  
M. Harun-Ar Rashid
Keyword(s):  
Time Series Data ◽  
Market Price ◽  
Economic Loss ◽  
Analysis Data ◽  
Production Yield ◽  
Series Data ◽  
Vegetable Production ◽  
Study Results ◽  
Area Growth ◽  
Winter Vegetables

Winter vegetable production has increased tremendously in Bangladesh. Excessive supply of vegetables reduces the market price that leads to economic loss at farm level. This study  assesses the growth and trend of winter vegetables production, yield and area in Bangladesh. Semi-log regression model was used to assess the growth and trend of winter vegetables while Winston Prais transformation was utilized to solve the autocorrelation problem. Yearly time series data of collected from secondary sources was used for this analysis. Data were collected from 1986–87 to 2015–16 years. Data of some major winter vegetables like tomato, rabi brinjal, rabi pumpkin, water gourd, cauliflower, cabbage, radish, bean, green spinach were collected for this study. Results found that growth of tomato, cauliflower and cabbage production was about 5% which was much higher than other winter vegetables. Growth of cultivated area is about 3% per annum for most of the vegetables. Production of winter vegetables increases because of yield and area growth. Government can attempt to increase export of tomato, cauliflower and cabbage. Moreover, yield growth of green spinach and radish is necessary to increase both production and export. J. Bangladesh Agril. Univ. 16(3): 492–502, December 2018

scholarly journals Infrastructures Development, Environmental Quality And Economic Growth In Nigeria

2021 ◽  
Author(s):  
Ademola Ojo ◽  
Ditimi J. Amassoma
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Population Growth ◽  
Environmental Quality ◽  
Time Series Data ◽  
Human Life ◽  
Jel Classification ◽  
Series Data ◽  
Annual Growth Rate ◽  
Bound Test

Abstract The earth as a planet supports human life, living and activities that attract extensive and intensive socioeconomic influences on the environment and the economy. Such activities like Infrastructures development exert increasing and divers environmental quality concerns and hence on economic growth. While these variables appear interrelated due to many factors including population growth, urbanization, industrialization etc., however, the nature of the interrelationship is not largely known especially in Nigeria. This study therefore investigated and examine their relationship using time series data between 1990-2019 by adopting Co-Integration estimation technique through the Bound Test approach of Auto Regressive Distributive Lag (ARDL) method, using percentage share of Building and Construction Sector (BCS) of GDP, Carbon dioxide percentage of fuel combustion (CTE), annual growth rate of Agriculture (AFF), population growth, GDP growth rate etc. as variables. The study revealed that infrastructures development, environmental quality explains economic growth and they all have both short and long run relationship while specifically population growth and AFF variables are positively significant to economic growth. The finding evidences the significance of the relationship and consequently recommended new roles for infrastructure sets and production processes that consider environmental quality mindsets to achieve positive green economic growth outcomes in Nigeria.JEL Classification: Q5, O18, O44

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