scholarly journals A Study on Sectorial Contribution of GDP in India from 2010 to 2019

2020 ◽  
pp. 18-31
Author(s):  
G. Sabitha
Keyword(s):  
Public Administration ◽  
Null Hypothesis ◽  
Secondary Data ◽  
Gdp Growth ◽  
Mining Sector ◽  
Indian Economy ◽  
Independent Variables ◽  
Agriculture Sector ◽  
Key Sectors ◽  
The Impact

Aims: The GDP growth of Indian Economy had touched the six year low in the first financial quarter of April-June 2020. It touched 5.8% growth in January-March, although in nominal terms India’s GDP grew by 7.99% which is also lowest. This paper amid at studying the impact on key sectors bearing the brunt of Indian Economy slowdown is Agriculture, Automobile, Real Estate, and FMCG among others.  Study Design: Secondary data is used for the present study. The dependent variable in the study is GDP components and sectors are considered independent variables. Place and Duration of Study: The data has been collected for the period 2015 to 2019. Data is related to contribution of sectors to Indian GDP is considered. Methodology: GDP is measured by a number of components but in this study only Agriculture, Manufacturing, Construction, Mining, Public Administration and Utilities sectors, were selected as major components for the period selected for the study. Correlation and Multiple regressions have been used to analyze the collected data. Results: Coefficient of agriculture parameter tells dependability of agriculture sector on GDP. Simultaneously manufacturing, public administration and utilities have positively dependability on GDP. Whereas mining sector that tells about no dependability of mining sector on GDP. Conclusion: There is a significant relationship between correlation values of agriculture, construction, manufacturing, mining, public administration and utilities with GDP. So, null hypothesis has been rejected.

scholarly journals Changes in Incisor Third-Order Inclination Resulting from Vertical Variation in Lingual Bracket Placement

2009 ◽  
Vol 79 (4) ◽  
pp. 747-754 ◽  
Author(s):  
Michael Knösel ◽  
Klaus Jung ◽  
Liliam Gripp-Rudolph ◽  
Thomas Attin ◽  
Rengin Attin ◽  
...  
Keyword(s):  
Null Hypothesis ◽  
Interindividual Variation ◽  
Occlusal Plane ◽  
Third Order ◽  
Vertical Variation ◽  
Independent Variables ◽  
The Third ◽  
Dependent Variables ◽  
Incisor Inclination ◽  
The Impact

Abstract Objective: To test the null hypothesis that third-order measurements are not correlated to lingual incisor features seen on radiographs. Material and Methods: The lateral headfilms of 38 untreated, norm-occlusion subjects without incisor abrasions or restorations were used for third-order measurements of upper and lower central incisors and assessment of the inclination of four sites suitable for lingual bracket placement with reference to the occlusal plane perpendicular. Lingual sections were determined by the tangents at the incisal fossa (S1), at the transition plateau between incisal fossa and the cingulum (S2), by a constructed line reaching from the incisal tip to the cingulum (S3), and by a tangent at the cingulum convexity (S4). Third-order angles were also assessed on corresponding dental casts using an incisor inclination gauge. Regression analysis was performed using the third-order measurements of both methods as the dependent variables and the inclination of the lingual enamel sections (S1, S2, S3, S4) as the independent variables. Results: The null hypothesis was rejected. For the most common bracket application sites located on the lingual shovel (S1 and S2), third-order inclination changes of 0.4–0.7 degrees are expected for each degree of change in the inclination of the lingual surface. The impact of bracket placement errors on third-order angulation is similar between sections S1 and S2 and the cingulum convexity (S4). Section S3 proved to be least affected by interindividual variation. Conclusion: The third-order measurements are correlated to lingual incisor features. Accordingly, third-order changes resulting from variation in lingual bracket placement can be individually predicted from radiographic assessments.

scholarly journals Impact of Digitalization on the Farmers in India: Evidence using Panel Data Analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 5-12
Author(s):  
Rahul Singh Gautam ◽  
◽  
Venkata Mrudula Bhimavarapu ◽  
Dr. Shailesh Rastogi ◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Development Model ◽  
Agriculture Sector ◽  
Economic Progress ◽  
New Development ◽  
The Impact ◽  
Financial Technology

The composition of digitalization and financial technology has brought about a new development model for the agriculture sector. What is the impact of digitization on India’s farmers? To answer this issue, this article examines the effects of digitalization on farmers in India using secondary data from 2018 to 2020, based on the idea of digitalization. It analyses the transmission of digitalization among Indian farmers using panel data analysis. The conclusions are as follows: Farmers' income can be significantly increased by digitalization, and farmers' digitization has resulted in agriculture sector development and contributed to economic progress.

scholarly journals Impact of FDI in Agriculture Sector in India: Opportunities and Challenges

2019 ◽  
Vol 8 (3S) ◽  
pp. 380-383
Keyword(s):  
Direct Investment ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Fdi Inflows ◽  
Indian Economy ◽  
Agriculture Sector ◽  
Course Of Action ◽  
The People ◽  
The Impact ◽  
Agrarian Development

Foreign Direct Investment has a vital errand to do in the rustic part for the Indian financial system. FDI is empowered in the cultivating section to improve the idea of yields. In the Indian Economy the FDI inflows to the cultivating portion since 2010 – 2018 there is an important perfection in the Agriculture section. Agriculture is said to be the establishment of the nation and it encompasses of 65% of the Indian people. Along these lines, the methodologies are limited in gathering to the agriculture influences a people. In order to forgo the poverty, government has upheld the FDI in Agricultural part and it is most acclaimed way to deal with discard the dejection and longing for. There is an emergency in agrarian part because of the colossal advances and advances which are paid by the banks to the ranchers. The ongoing patterns in the horticultural part have delineated a deceleration in the agrarian development. FDI in Agricultural Sector is one of the copious walks in improving bothers of Indian Farmers. For propelling cultivating improvement, reducing poverty and hunger, and progressing environmental supportability, country theory is crucial. FDI enthusiasm for agriculture requires a logically point by point ask about. Both positive and negative impact should be eagerly examination, with respect to Indian economy. In order to grow the lifestyle for the people and to engage those to use for sound and reflex improvements it is pivotal principal that, capital course of action ought to occur at a higher rate. This paper attempts to consider the impact of FDI in India expressly in green part and to examine the likelihood and confusions looked by the fragment in pulling in the black out budgetary masters adjacent to the various exercises taken by the administrationBased on the results and findings, suitable suggestions and conclusions will be made for the further research.

scholarly journals Analysis of GDP using the n-variable Regression Model

2021 ◽  
pp. 170-175
Author(s):  
Krishna Kumar Chaudhary ◽  
Anjay Kumar Mishra
Keyword(s):  
Regression Model ◽  
Informal Economy ◽  
Service Sector ◽  
Initial Conditions ◽  
Policy Research ◽  
Secondary Data ◽  
Policy Formulation ◽  
Initial Condition ◽  
Independent Variables ◽  
The Impact

Purpose: Gross Domestic Product(GDP) depends on Agriculture, Service, and industry performance. The main aim of the study is to assess the relationship between dependent variable GDP and Independent variables agriculture, industry, and service sector by using the n-variable Regression Model at initial condition. Design/Methodology/Approach: The study is an application of the n-variable Regression Model at the initial condition to analyze the situation of GDP along with reasons not becoming zero GDP even after using the initial condition. The secondary data of the GDP of Nepal from the Central Bureau of Statistics of 10 years till 2019/20 has been analyzed. By finding cofactors of correlation coefficient matrix, Mean and standard deviation of the individual data to establish the linear relationship between dependent and independent variable. Findings/Result: Under initial conditions, if all the independent variables zero, the GDP is −751028.431 billion, negative sign shows that GDP decreases highly if the entire major factor has no role in GDP. It is non-zero GDP. It means in the 11th year the stated amount will be expended from the previous year saving for forex to import which will not be possible in a sustainable economy. It will not be possible in real conditions however it may be hypothetical possible either because of the impact of informal economy or disinvestment or negative net exports. It is significant for forecasting the future GDP of a country effectively assuming different conditions for policy formulation. Originality/Value: It is the first empirical research using the n-variable Regression Model for GDP Analysis. Paper Type: Analytical Policy Research

scholarly journals The Impact of Climate Change on Pakistan's Agriculture sector: Evidence from OLS Regression & Co-integration

2019 ◽  
Vol 6 (4) ◽  
pp. 1-4
Author(s):  
Ikram Uddin ◽  
Jawad Raza Khoso
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Unit Root Test ◽  
Secondary Data ◽  
Economic Indicator ◽  
Ols Regression ◽  
Agriculture Sector ◽  
Short Run ◽  
Year 2000 ◽  
The Impact

Abstract: According to Ministry of Finance of Pakistanin the year 2016-17, agriculture sector contributed to GDP 19.8% and employees about 42.3% a labor force in country. Pakistan has been ranked 7th  in climate change by theGlobal climate rise index in 2017, this rank indicates a great challenge for the Pakistan in agriculture sector due to further climate change in future.There are few gases such as greenhouse gases, CO2, carbon dioxide, methane and nitro oxide that mainly are responsible for changes to global climate. The climate change leads to change in rainfall, sea level and flow of water due to increase in temperature. There are many variables which may affect output of agriculture sector of Pakistan but in this study author mainly focused temperature and rainfall in terms of climate change.  This study is based on secondary data from year 2000 to 2015.The monthly data of temperature and rainfall has been collected from world economic indicator and 12 months’ data was divided for converting these variables into average. Agriculture GDP output collected from Economic Survey of Pakistan’s various annual issues.  Agriculture GDP output in terms of percentage, average rainfall mm andaverage temperature in centigradevariables have been used for the conclusion ofmain objective of this study.Data analyzed through various statistical techniques such as unit root test, OLS regression analysis and Johnson co-integration in E-view 7 version.The estimated results revealed that theaverage rainfall mm has negative and significant impact but average temperature has positive and insignificant impact on agriculture GDP output in terms of percentage in short run.

scholarly journals Peran Sektor Pertanian dalam Mengurangi Ketimpangan Pendapatan di Wilayah Papua Sebelum dan Sesudah Otonomi Khusus

Agro Ekonomi ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 1
Author(s):  
Siti Halimatus Sa'diyah ◽  
Irham Irham
Keyword(s):  
Income Inequality ◽  
Regional Development ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Development Aid ◽  
Gdp Growth ◽  
Agriculture Sector ◽  
Before And After ◽  
Per Capita

This study aims to determine: (i) the contribution of agriculture sector to GDP growth in the region before and after the Papua special autonomy, (ii) the level of income inequality per capita in the region before and after the Papua special autonomy, (iii) the role of agriculture in reducing income inequality in the community before and after the region Papua special autonomy, and (iv) the effect of investment, labor force, the allocation of funds for regional development, agglomeration in the region Papua, and policy implementation of special autonomy to Papua region against income inequality.Data used in this research is secondary data from the years 1993-2013 and analyzed using analysis of contribution, growth, income inequality (Williamson index, and multiple linear regression with OLS method. The analysis showed that the agricultural sectors contribution to GDP growth before special autonomy greater than after the special autonomy. Furthermore, per capita income inequality between regions in Papua special autonomy after the bigger (more unequal). The agricultural sector play a greater role in reducing income inequality communities in Papua after special autonomy than before the special autonomy. Investment in Papua per capita, regional development aid funds allocated per capita, and agglomeration in Papua positive effect on income inequality between regions in Papua. Index of income inequality between regions in Papua after special autonomy (the period 2002-2013) is greater than before the special autonomy (the period 1993-2001)

scholarly journals THE ROLE OF ISLAMIC BANKING IN AGRICULTURE FINANCING (CASE STUDY OF INDONESIAN AGRICULTURE SECTOR)

2019 ◽  
Vol 7 (2) ◽  
pp. 261-269
Author(s):  
Satria Utama ◽  
Aqidah Asri Suwarsi ◽  
Listiono .
Keyword(s):  
Agricultural Sector ◽  
Low Cost ◽  
Secondary Data ◽  
Islamic Banking ◽  
Agricultural Finance ◽  
Agriculture Sector ◽  
Payment Schemes ◽  
Swot Matrix ◽  
The Impact

Purpose: This paper aims to analyze the role of Islamic banking in improving the agricultural sector as well as providing alternative solutions such as financing scheme for agricultural financing. Methodology: The research method is qualitative. A review of the extant literature was carried out for collecting primary and secondary data. In-depth interviews with key informants such the farmer and Islamic bank financing manager were also conducted. Data analysis was performed by adopting data reduction, data display with SWOT matrix, verification, and conclusion. Main findings: This paper finds that Islamic banking allocates financing for agricultural sector which is less than 10 percent of total financing. The finding is in line with the problem faced by the farmer. Based on the interview, it is known that the main problem of agriculture industry is limited access to the source of capital. The second finding pertains to the lack of Islamic banking’s role in agricultural financing caused by high risk perception and minimum competence of human resources to maintain the agricultural financing. Applications: This paper suggests the implementation of Ba'I As Salam scheme as an alternative for agricultural financing. Salam Financing Scheme is more suitable for agricultural financing than the murabaha financing that are commonly used today. Because the salam financing scheme intends to finance the sale and purchase of new commodities that are to be processed or produced and the delivery of their goods in the future, as well as allow for irregular payment schemes made in the harvest. Some of these advantages can be agricultural financing solution that is more in line with the characteristics of agricultural sector cash flow. Novelty/Originality of this study: Previous Studies related to the agricultural sector only deals with the impact of agricultural finance without offering low cost financing models as the solution to the main problem in the agricultural sector. This study provides solutions to these problems.

Impact of the Pandemic on the Indian Economy and Wellbeing

2022 ◽  
pp. 133-145
Author(s):  
Chitra Krishnan ◽  
Richa Goel ◽  
Jasmine Mariappan
Keyword(s):  
Migrant Workers ◽  
Social Insurance ◽  
Secondary Data ◽  
Educational Institutions ◽  
Migrant Population ◽  
Indian Economy ◽  
Secondary Sources ◽  
Wellness Education ◽  
The Government ◽  
The Impact

The goal of the study is to look at the impact of COVID-19 on major industries including automobiles, wellness, education, tourism, and many others, as well as migrant workers' status. COVID-19, a sudden epidemic, has had a devastating impact on the Indian economy. The migrant population was also affected by this situation. They were concerned about labor shortages, monthly rationing, and social insurance shortages. In this investigation, secondary data was gathered. The study focuses on the influence of COVID-19 on important industries such as automotive, wellness, education, tourism, and so on, as well as the position of migrant workers. Secondary data was acquired for this inquiry. Blogs, magazines, newspapers, news from foreign agencies, written academic papers, government materials, and websites are examples of secondary sources. Educational institutions, customers, legislators, the government, and the community will all profit from this research.

scholarly journals Public Administration at A Crossroad: Policy on Agricultural Extension within Digital Society

2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Wahyu Riawanti ◽  
Kurnia Cahyaningrum Effendi
Keyword(s):  
Public Administration ◽  
Research Result ◽  
Agricultural Extension ◽  
Extension Agents ◽  
Agriculture Policy ◽  
Technology Application ◽  
Digital Society ◽  
Agriculture Sector ◽  
Study Results ◽  
The Impact

The study is aimed to reveal the public administration process in a challenging digital society. Facing the globalization, agriculture sector in Indonesia cope with the same challenge. In term of modernization, the role of agricultural extension is considered as one of the main factors in transferring technology and knowledge to the farmers. The case study was taken on Indonesian agriculture policy in Yogyakarta Province to reveal two different aspects namely (a) the dynamic and relevance of agriculture policy to deal with nowadays digital society challenge and (b) how the extension agents respond the policy in terms of digitalized society and globalization. The qualitative data was taken from in-depth interview and FGD with extension agents in Yogyakarta province were used for the research main data. The research result has shown that the impact varied from different extension groups/districts. The characters of extension agents and mostly Indonesian agriculture sectors are mostly the aging agriculture labors and lower technology application. This study results on how the agriculture policy was historically put the entity of extension agents as merely “object of development”. This phenomena fnally has to cope with recently global agriculture problem. The study

scholarly journals A Study on Impact of COVID-19 Pandemic on Primary, Secondary and Tertiary Sectors of Indian Economy

2021 ◽  
Vol 12 (3) ◽  
pp. 0-0
Keyword(s):  
Migrant Workers ◽  
Secondary Data ◽  
World Health ◽  
Indian Economy ◽  
The Social ◽  
Political Dimensions ◽  
The Government ◽  
Novel Coronavirus ◽  
Health Organization ◽  
The Impact

COVID-19 emerged in China in December. The World Health Organization declares this virus as Global Disaster in March. The coronavirus has affected the social, economic, political dimensions of the nations globally. In this study, the authors consider the impact of novel coronavirus (COVID-19) on the different activities of primary, secondary, and tertiary sectors of the Indian Economy and various policies and reforms have been taken by the government. The secondary data is collected to put down this literature. Each sector of the economy faces chaos due to coronavirus. Migrant workers or laborers go to their state in the lockdown, a ban on materials, electronics imported from china, supply chain disruption, disturbance in the cash flow are some of the majors' reasons that lead to the uncertainty in different sectors. A fund issued by the Government can be utilized effectively to give benefits to employees, workers, farmers, organizations, and industries.

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