A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

<span>The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity. </span>

A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity.

scholarly journals Are male to female employment ratio and salary compensations in agricultural sector co-integrated?

2021 ◽  
Vol 258 ◽  
pp. 06041
Author(s):  
Evgenia Ezhak ◽  
Tatiana Podolskaya ◽  
Elizaveta Karagozova ◽  
Muhammad Imtiaz Subhani ◽  
Denis Ushakov
Keyword(s):  
Time Series ◽  
World Bank ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Female Employment ◽  
Series Data ◽  
Agriculture Sector ◽  
Yearly Period ◽  
Male To Female

This study has been conducted in order to identify whether there is the co-movements between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan. To analyze the possible co-movement between the Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan, the time series data for the yearly period of 1990 to 2020 for agriculture sector are taken from the publically available source i.e. website of World Bank. The result indicated that there is a long term relationship exists in between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan.

scholarly journals Decomposition of Economic Growth in Sri Lanka: Deep Look into the Service Sector

2018 ◽  
Vol 10 (3) ◽  
pp. 1416-1422
Author(s):  
Pivithuru Janak Kumarasinghe ◽  
M P M D Sandaruwan
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Sri Lanka ◽  
Service Sector ◽  
Time Series Data ◽  
Series Data ◽  
Specific Service ◽  
Policy Makers ◽  
Research Findings ◽  
Per Capita

The service sector gives the highest contribution to the economic growth of the country and it is about more than 50. Therefore service sector give the highest contribution for the economic growth in Srilanka. Through this research the service sector is decomposed. This empirical study was to measuring the contribution for the economic growth in Sri Lanka by service sector. Time series data is used to identify the decomposition of economic growth in Sri Lanka by Service. Annually data is collected from 2006 to 2014. This study mainly focused on growth decomposition methodology developed by Ivanov and Webster and this methodology used to decompose economic growth in Sri Lanka by service sector. This model presents an approach that is general and it can be applied to other countries. The methodology identifies the direct impacts of specific service sector components on the per capita growth of real gross domestic product. The study found that each service sector components in this analysis has a very different contribution to the growth rate in the economy. The research findings would provide guidance to the policy makers to develop policies, procedures, programs and standards.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI INVESTASI PEMERINTAH PADA SEKTOR PERTANIAN DI PROVINSI JAMBI

2017 ◽  
Vol 2 (2) ◽  
pp. 85
Author(s):  
Mulyani Mulyani
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Linear Regression ◽  
Real Interest Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Series Data ◽  
Government Investment ◽  
Agriculture Sector

This research was conducted to analyse government investment in agriculture sector at Jambi Province. This research was held  on June - September 2017 by collecting data from several agencies. It used a time series data for 10 years (2006-2015).  This research  applied   multiple linear regression to  analyse the data. The results show that 95.9% of government investment in agriculture sector could  be  explained by  domestic  income variable, export-import growth of agriculture sector, real interest rate, rupiah exchange rate, previous government investment, and growth of agriculture sector. In fact the factors that had a significant effect were domestic  income variable, , export-import growth of agricultural sector, previous government investment and the growth of agriculture sector.Keywords: government investment, agricultural sector, growthPenelitian ini dilakukan untuk menganalisis investasi pemerintah pada sektor pertanian di Provinsi Jambi. Penelitian dilaksanakan di Provinsi Jambi dengan mengumpulkan data dari beberapa instansi terkait, yang dilaksanakan pada bulan Juni 2017 sampai September 2017. Dimana penelitian ini menggunakan data time series, dengan rentang waktu 10 tahun (2006-2015). Analisis data pada penelitian ini menggunakan regresi linear berganda. Hasil penelitian menunjukkan 95,9% penyerapan investasi pemerintah pada sektor pertanian dapat dijelaskan oleh variabel pendapatan asli daerah,pertumbuhan ekspor-impor sektor pertanian, tingkat suku bunga riil, nilai tukar rupiah, investasi pemerintah pada tahun sebelumnya, dan pertumbuhan sektor pertanian. Dari faktor-faktor tersebut yang berpengaruh signifikan adalah Pendapatan asli daerah, pertumbuhan ekspor impor sektor pertanian, investasi pemrintah pada tahun sebelumnya dan pertumbuhan sektor pertanian.Kata Kunci : investasi pemerintah, sektor Pertanian, pertumbuhan

scholarly journals Tractorisation and Agricultural Development in India

2013 ◽  
Vol 8 (4) ◽  
pp. 285-292
Author(s):  
Komol Singha
Keyword(s):  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Green Revolution ◽  
Series Data ◽  
Correction Model ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Technological innovations have had profound effect on agricultural sector in the post-Green Revolution period in India. With the inception of Green Revolution, mechanisation process, especially the application of tractor in agriculture sector had intensified. However, in 2000s, the pattern of mechanization has diversified slightly from the intensive tractorisation to other implements like, irrigation, fertilizer, harvester, energy and others. Using a time series data on tractorisation and agriculture GDP for 43 years, co-integration regression method was employed to understand short run equilibrium between the variables. Further, the Error Correction Model (ECM) result showed that elasticities of mechanization were 10.4 percent and 0.52 percent for the long-run and the short-run respectively. It implies that a positive impact of mechanization on agriculture GDP was found both in the short run and long-run.

scholarly journals KAJIAN BASIS DAN PRIORITAS DALAM SEKTOR PERTANIAN BAGI PEMBANGUNAN WILAYAH PESISIR BENGKULU

2014 ◽  
Vol 13 (1) ◽  
pp. 44-50
Author(s):  
Melli Suryanty ◽  
. Sriyoto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Development Planning ◽  
Series Data ◽  
Location Quotient ◽  
Agriculture Sector ◽  
Year 2000 ◽  
Agriculture Development ◽  
Share Value

The objectives of this research were to identify agriculture subsectors that can be the sector basis for the region development, and give information about priority scale of agriculture subsectors development in Bengkulu region development planning. This research used the secondary data gained from time series data from year 2000-2011. Analysis methods used in this research were sector contribution, location quotient, and shift share analysis. The results of the research showed that fishery subsector gave significant contribution for Bengkulu City PDRB. Fishery subsector became the basis and main priority of the agriculture development in year 2000-2011. This was shown from the biggest contribution value, location quotient value was greater than 1, and positive shift share value. The main priority of agriculture sector development is fishery, livestock, food plant, and estate subsector.    Keywords: Basic sector, agricultural sector, regional development.

scholarly journals Variability and Sources of Output Growth in Major Oilseeds of Rajasthan

2021 ◽  
Vol 66 (1) ◽  
Author(s):  
Kailash Chand Bairwa
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Time Series Data ◽  
Output Growth ◽  
The State ◽  
Series Data ◽  
Oilseed Crops ◽  
Significant Growth ◽  
Area Effect ◽  
Relative Contribution

Rajasthan state is the second largest oilseeds producer and land coverage in the country. The share of oilseed crops is scheduled the significant growth in area and output in latest 20 years. Nevertheless, compare to wheat and gram, the growth rate of area and production of several oilseeds is less significant and there exist wide instability in their productivity in scattered part of the state. This study investigates to growth, its contributors and variability in area, production and productivity of major oilseed crops. The study period from 1990-91 to 2019-20 was divided into three sub-periods viz., period-I (1990-91 to 2004-05); period-II (2005-06 to 2019-20) and Overall study Period (1990-91 to 2018-19). Time series data were collected from various public E-sources to compute the growth, instability and decomposition in oilseeds production. It was revealed from the analysis that growth of kharif oilseeds was higher than rabi oilseeds. The highest instability (31.78) in production and productivity was reported in period-I for kharif oilseeds. In case of relative contribution, the area effect (416.85) and yield effects (211.10) were more effective in production of taramira and sesame crops, respectively. This analysis suggested that during period –I and II area effect was dominant in changing output of taramira and rapeseed-mustard.

scholarly journals Transitional dynamics of the saving rate and economic growth

2021 ◽  
pp. 1-24
Author(s):  
Markus Brueckner ◽  
Tomoo Kikuchi ◽  
George Vachadze
Keyword(s):  
Growth Rate ◽  
Time Series Data ◽  
Income Elasticity ◽  
Gdp Per Capita ◽  
Series Data ◽  
Supporting Evidence ◽  
Saving Rate ◽  
Poor Countries ◽  
Per Capita ◽  
Rich Countries

Abstract We estimate the relationship between GDP per capita growth and the growth rate of the national saving rate using a panel of 130 countries over the period 1960–2017. We find that GDP per capita growth increases (decreases) the growth rate of the national saving rate in poor countries (rich countries), and a higher credit-to-GDP ratio decreases the national saving rate as well as the income elasticity of the national saving rate. We develop a model with a credit constraint to explain the growth-saving relationship by the saving behavior of entrepreneurs at both the intensive and extensive margins. We further present supporting evidence for our theoretical findings by utilizing cross-country time series data of the number of new businesses registered and the corporate saving rate.

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 Sectoral analysis of foreign direct investment and growth in Nigeria

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
David Orogwu ◽  
Segun Fakoyode ◽  
Mohammed Itopa ◽  
Ahmed Abdulbasit
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Indirect Effect ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Agriculture Sector ◽  
Sectoral Analysis ◽  
Distributed Lag ◽  
Aggregate Growth

The study conducted a sectoral analysis of the contribution of foreign direct investment on Nigeria economy between 1980-2019. Time series data from Central Bank of Nigeria and World Bank Development Indicators was used to estimate the relationship using Auto Distributed Lag Model (ARDL). It was revealed that foreign direct investment not only exert a direct positive effect on the aggregate growth rate of Nigeria economy but also exert a positive indirect effect through labour. It was also discovered that agriculture sector is the only sector that does not enjoy significant contribution of foreign direct investment in Nigeria while petroleum and Gas experience the greatest growth attributable to foreign direct investment in Nigeria. The study contributed to literature by not only examining the indirect effect of foreign direct investment on Nigeria aggregate growth rate through labour but also the effect of foreign direct investment on the sector-by-sector growth rate.

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