Sources and Determinants of Agricultural Growth in Uttar Pradesh (India): Agro-Climatic Zone Level Analysis

2021 ◽  
Keyword(s):  
Rainfall Variability ◽  
Uttar Pradesh ◽  
Climatic Zone ◽  
Climatic Zones ◽  
Agricultural Growth ◽  
Panel Data Regression ◽  
Data Regression ◽  
Growth Prospects ◽  
Area Expansion ◽  
Level Analysis

The present paper inspects the sources and determinants of agricultural growth for the crop sector in Uttar Pradesh (India) from 2004-05 to 2015-16. The decomposition and panel data regression was used to derive the results at the agro-climatic zone (ACZ) level in Uttar Pradesh.The results revealed that: First,growth prospects via area expansion were limited due to land constraints in all agro-climatic Zones exceptZone-2 and 7. Second, agricultural growth decomposing to output prices was the highest in Zone-1 and 5 while lowest in Zone-7 and 8. Third, agricultural growth had the highest stake in yields in agro-climatic Zone-8 and 4, while lowest in Zone-2 and 1. Fourth, it was witnessed that diversification wasan important source of agricultural growth across all ACZ in Uttar Pradesh. It was also observed that the contribution of various sources to agricultural growth by the crop sector across the various zone level had widespread fluctuations. Moreover, the panel dataregression results showed that the rural infrastructure along with mechanization had a positive and significant impact on per ha value of the output ofthe crop sectorwhileclimatic factors viz., temperature difference and rainfall variability agricultural markets per hectare had influenced negatively of per hectare value of output by crop sector.The findings suggested a need to improve the rural infrastructural, institutional, technological, and climatic strengthening through new programmes and policies, directly or indirectly affecting agricultural growth, food security, and farmers' income.

scholarly journals Impacts of China’s Minimum Grain Procurement Price Program on Agrochemical Use: A Household-Level Analysis

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 910
Author(s):  
Min Su ◽  
Nico Heerink ◽  
Peter Oosterveer ◽  
Tao Tan ◽  
Shuyi Feng
Keyword(s):  
Chemical Fertilizer ◽  
Data Set ◽  
Household Level ◽  
Self Sufficiency ◽  
Panel Data Regression ◽  
Level Data ◽  
Data Regression ◽  
Procurement Price ◽  
Regression Techniques ◽  
Area Expansion

China’s minimum grain procurement price program aims to boost grain production and ensure food self-sufficiency. It may also affect the already very high levels of chemical fertilizer and pesticides consumption, but little is known about these potential side-effects. In this paper, we apply panel data regression techniques to a large rural household-level data set for the period 1997–2010 to examine whether and how the minimum grain procurement price program affected households’ agrochemical use. We find that the minimum grain procurement price program negatively affected both chemical fertilizer and pesticides use, with pesticides use being more responsive than the use of fertilizer. The higher wheat and rice prices that resulted from the program stimulated the use of agrochemicals, but they also stimulated area expansion which contributed to lower agrochemical use per unit of land. These counteracting indirect effects were overshadowed by the large negative direct effect of the minimum procurement price of rice on the use of fertilizer and pesticides.

A mechanism to improve the allocation of public investment funds

2020 ◽  
Vol 26 (7) ◽  
pp. 1522-1533
Author(s):  
A.V. Larionov
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Public Investment ◽  
Allocative Efficiency ◽  
Investment Funds ◽  
The Public ◽  
Panel Data Regression ◽  
Data Regression ◽  
Efficiency And Effectiveness ◽  
Effective System

Subject. This article deals with the issue of improving the public investment allocative efficiency. Objectives. The article aims to develop an approach to improve the efficiency and effectiveness of public investment in the economy. Methods. The study is based on a panel data regression with random effects. Conclusions and Relevance. All sectors of the economy have different demand for investment resources attracted, determined by operational and technological aspects. The results of the study can be used to develop an effective system of public investment.

Determinants Of Capital Structure For Multinational And Domestic Companies In India: Panel Data Regression Model

2019 ◽  
Vol 118 (7) ◽  
pp. 147-154
Author(s):  
K. Maheswari ◽  
Dr. J. Gayathri ◽  
Dr. M. Babu ◽  
Dr.G. Indhumathi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Regression Model ◽  
Business Risk ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Data Regression ◽  
Return On Capital ◽  
Domestic Companies ◽  
The Capital Structure

The capital structure refers to the components of capital needed to establish and expand its business activities. The study was made with an objective to examine the determinants of capital structure of multinational and domestic companies listed in S&P BSE automobile sector. The study concluded that there is significant impact on capital structure determinants such as size, business risk, non debt shield tax, return on assets, tangibility, profit, return on capital employed and liquidity on the capital structure of multinational and domestic companies of Indian Automobile Sector.  

FAKTOR DETERMINAN PEMBENTUK STRUKTUR MODAL PADA PERUSAHAAN SEKTOR FARMASI PERIODE 2012 - 2016

2017 ◽  
Vol 2 ◽  
pp. 241-250
Author(s):  
Neng Ria Kanita ◽  
Hendryadi Hendryadi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Firm Size ◽  
Stock Exchange ◽  
Pharmaceutical Manufacturing ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Data Regression ◽  
Partial Effects

This study aims to examine the simultaneous and partial effects of profitability, liquidity, and firm size on capital structure. The sample is 10 pharmaceutical manufacturing companies listed in Indonesia Stock Exchange period 2012-2016, using purposive sampling. The technique of analysis used is panel data regression (pooled regression). The results showed that the selected model is the fixed effect. Simultaneously NPM, CR, and Firm Size have a significant effect on capital structure. Partially NPM has a negative and significant effect on capital structure. CR partially have a negative and not significant effect on capital structure. Partially Firm Size have a positive and significant effect on capital structure. Variables that have a significant effect on capital structure are NPM and Firm Size. While CR does not significantly affect the capital structure. Keywords: Capital Structure, Profitability, Liquidity, Firm Size

Capital Structure and Earnings per Share: An Empirical Analysis of Indian Corporate Sector

2015 ◽  
Vol 5 (3) ◽  
Author(s):  
Harvinder Singh Mand ◽  
Manjit Singh
Keyword(s):  
Capital Structure ◽  
Empirical Analysis ◽  
Corporate Sector ◽  
Independent Variables ◽  
Earnings Per Share ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

This paper intends to measure the impact of capital structure on EPS (earnings per share) in Indian corporate sector. Fifteen control variables along with capital structure have been selected to know their impact on EPS. Panel data regression has been applied to establish the relationship among dependent and independent variables. It is found from the empirical analysis that the relation of capital structure with EPS has been statistically insignificant in Indian corporate sector among all specific industries except telecommunication industry. The results are consistent with Modigliani-Miller approach.

A Study of Multilayered Profitability Analysis by Using DuPont Model: Evidence from Indian Pharmaceutical Industry

2021 ◽  
pp. 097215092199305
Author(s):  
Pinku Paul
Keyword(s):  
Panel Data ◽  
Pharmaceutical Industry ◽  
Profit Margin ◽  
Pharmaceutical Firms ◽  
Sustainable Performance ◽  
Profitability Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

Profitability is used as a prime indicator to measure the sustainable performance of an organization. The current study made an attempt to apply the DuPont model to investigate the multilevel profitability determinants for the pharmaceutical industry of India. The study also estimates an empirical model to predict the association of profitability with factors such as profit margin, asset utilization, leverage, interest load and tax load of firms in the pharmaceutical industry of India. For this purpose, a dataset for 170 companies from 2010–2011 to 2018–2019 was analysed initially by using panel data regression followed by stepwise panel data regression. The study successfully applied and tested the DuPont model with respect to the firms of the pharmaceutical industry in India. It was found that the factors such as profit margin, asset utilization and leverage had a significant positive effect on the firms’ profitability and the factor interest load had a significant negative effect on the firms’ profitability. The tax load does not have an impact on the profitability of the pharmaceutical firms in India. These findings are expected to provide a guide for understanding the profitability of the firms in a better way.

Using information from singletons in fixed-effects estimation: xtfesing

2020 ◽  
Vol 20 (4) ◽  
pp. 965-975
Author(s):  
Laura Magazzini ◽  
Randolph Luca Bruno ◽  
Marco Stampini
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Panel Data Regression ◽  
Data Regression ◽  
Method Of Moments Estimator ◽  
Fixed Effects Estimation

In this article, we describe the xtfesing command. The command implements a generalized method of moments estimator that allows exploiting singleton information in fixed-effects panel-data regression as in Bruno, Magazzini, and Stampini (2020, Economics Letters 186: Article 108519).

Board Characteristics and Firm Performance: Indian Textiles Sector Panorama

2021 ◽  
pp. 0258042X2110261
Author(s):  
Mukesh Nepal ◽  
Rajat Deb
Keyword(s):  
Firm Performance ◽  
Positive Association ◽  
Policy Implications ◽  
Board Independence ◽  
Board Size ◽  
Significant Positive Association ◽  
Jel Codes ◽  
Financial Measures ◽  
Panel Data Regression ◽  
Data Regression

The study has attempted to examine whether the board size and board independence have any impact on the financial performances of the Indian textile firms. Accessing the data of the 40 sample firms representing the top 100 BSE-listed textile firms during the timeline 2015–2019 and applying the panel data regression model, it has assessed the impacts. Accounting- and market-based financial measures have been proxied, and a significant positive association between the board size and firm performance has been established. Interestingly, a significant inverse relationship between the board independence and financial performance has also been indicated. It has concurred policy implications as the inclusion of more number of board members would likely to increase the firm performance. Moreover, for improving the sound decision-making, firms may chalk out a policy with capping on the engagement of independent directors in other firms. It has acknowledged a few limitations and has sketched a roadmap for posterior studies as well. JEL Codes: G28, G30, M40

Do Higher Land Costs for New Single-Family Housing Inhibit Economic Activity in U.S. Metropolitan Areas?

2021 ◽  
pp. 089124242110061
Author(s):  
Robert W. Wassmer
Keyword(s):  
Land Use ◽  
Economic Activity ◽  
Metropolitan Areas ◽  
Single Family ◽  
Best Interest ◽  
Residential Land ◽  
Land Use Regulations ◽  
Panel Data Regression ◽  
Data Regression ◽  
Residential Land Use

The price of a new home is greater if the land to put it on costs more. In many U.S. metropolitan areas, this generates the widely acknowledged equity concern that low- to moderate-income households spend disproportionately on housing. But high residential land prices translating into high single-family home prices may also generate the efficiency concern of discouraging new workers’ entry into such areas or encouraging existing workers’ exit. The result could be a decrease in economic activity. This research offers panel-data regression evidence in support of the existence of this adverse outcome. Perhaps these findings can raise the saliency of the needed state or federal government intervention to curtail the stringency of local residential land-use regulations. NIMBYs see these land-use regulations as in their jurisdiction’s best interest, but as demonstrated here, such restrictions impose additional metro-wide economic concerns.

Factors Influencing Capital Structure of Shariah-Compliant Malaysian Telecommunications and Media Companies

2021 ◽  
Vol 12 (3) ◽  
pp. 582-591
Author(s):  
Mohd Faizal Basri Et.al
Keyword(s):  
Capital Structure ◽  
Firm Size ◽  
Least Square ◽  
Sales Growth ◽  
Pecking Order ◽  
Ordinary Least Square ◽  
Media Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
Equity Ratio

This paper explores the firm-specific factors,which are assets tangibility, sales growth, profitability, and firm size in ascertaining the capital structure of Shariah-compliant telecommunications and media companies in Malaysia. Panel data regression model based on ordinary least square (OLS) method was employed in the research. The sample of research comprisesof nine Shariah-compliant companies listed in telecommunications and media sector in the Main Market and Ace Market ofBursa Malaysiafrom 2009to 2018, with a 90firms-years of total number of observations. The dependent variable selected was debt to equity ratio. Meanwhile, the independent variables chosen were assets tangibility, sales growth, profitability, and firm size. Thefindings revealed thatassets tangibilityhas a positive relationship, while profitability is negatively related to the dependent variable. Conversely, sales growth and firm size were insignificant to debt to equity ratio.The pecking order and trade-off theories of capital structure is very much applicable to the Shariah-compliant telecommunications and media in Malaysia sinceassets tangibility and profitability have significant relationship with leverage.

Sign in / Sign up

Export Citation Format

Share Document