Inclusiveness and the Progress of Indian States: Evidence from Inclusive Development Index Between 2011 and 2018

2021 ◽  
pp. 097370302110086
Author(s):  
Suresh Chand Aggarwal
Keyword(s):  
Principal Component Analysis ◽  
Tamil Nadu ◽  
Uttar Pradesh ◽  
Principal Component ◽  
Inclusive Development ◽  
Indian States ◽  
Development Index ◽  
Policy Initiatives ◽  
Low Performance ◽  
Simple Average

This article examines the progress of the Indian states in inclusiveness between 2011 and 2018, based on the “Inclusive Development Index” (IDI), which includes many important aspects of the economy and people. The study has followed the broad guidelines of the Organisation for Economic Co-operation and Development—OECD (2008) to construct IDI, and it is based on two pillars of growth—the process and the outcome. The index includes 26 sub-pillars represented by 104 indicators. The weights of the indicators are obtained separately for 2011 and 2018 by applying the principal component analysis at the indicator level, and then a simple average has been computed at the sub-pillar and pillar levels to obtain the composite IDI for the 19 major Indian states. The composite IDI shows that in 2018, while the most inclusive states are Himachal Pradesh, Tamil Nadu, Maharashtra, Karnataka, Gujarat, Chhattisgarh and Kerala, the least inclusive are the states of Rajasthan, Uttar Pradesh (UP), Madhya Pradesh (MP), Assam, Jharkhand and Bihar. The performance of the states, however, varies among pillars, sub-pillars and indicators in both 2011 and 2018. The study may help the states to identify their spheres of “low” performance and learn from their “front-runner” peers, so as to take the necessary policy initiatives.

How Inclusive Are Indian States: Evidence from Inclusive Development Index

2021 ◽  
pp. 097674792098545
Author(s):  
Suresh Chand Aggarwal
Keyword(s):  
Composite Index ◽  
Principal Component ◽  
Inclusive Development ◽  
Inclusive Growth ◽  
Indian States ◽  
Policy Objective ◽  
Development Index ◽  
The People ◽  
The World ◽  
Low Performance

The current study aims to find an ‘Inclusive Development Index’ (IDI) for the selected Indian states for the year 2017–2018 and has tried to incorporate indicators encompassing different aspects of the economy and life of the people. The index has tried to be more comprehensive and contemporary and attempts to keep the interest alive in the all-important policy objective of an inclusive growth in India as well as in many other countries around the world. The study has followed the guidelines given by Organisation for Economic Co-operation and Development ( OECD, 2008 , Handbook on constructing composite indicators: Methodology and user guide) to construct a composite index and has included two pillars of growth with a total of 14 dimensions (sub-pillars) represented by 62 indicators. Principal component analysis (PCA) has been applied at the indicators level and simple averaging at the dimension and pillar levels to obtain the composite IDI for 20 Indian states. The states are ranked based on their inclusiveness score on IDI and divided into the ‘front-runners’, the ‘achievers’ and the ‘aspirants’. IDI may help the states to identify their spheres of ‘low’ performance and learn from their ‘front-runner’ peers.

scholarly journals Incidence of treatment for postabortion complications in India, 2015

2020 ◽  
Vol 5 (7) ◽  
pp. e002372
Author(s):  
Susheela Singh ◽  
Rubina Hussain ◽  
Chander Shekhar ◽  
Rajib Acharya ◽  
Melissa Stillman ◽  
...  
Keyword(s):  
Tamil Nadu ◽  
Large Scale ◽  
National Level ◽  
Uttar Pradesh ◽  
Primary Source ◽  
Reproductive Age ◽  
Legal Abortion ◽  
Indian States ◽  
Medication Abortion ◽  
Postabortion Care

Abortion has been legal under broad criteria in India since 1971. However, access to legal abortion services remains poor. In the past decade, medication abortion (MA) has become widely available in India and use of this method outside of health facilities accounts for over 70% of all abortions. Morbidity from unsafe abortion remains an important health issue. The informal providers who are the primary source of MA may have poor knowledge of the method and may offer inadequate or inaccurate advice on use of the method. Misuse of the method can result in women seeking treatment for true complications as well as during the normal processes of MA. An estimated 5% of all abortions are done using highly unsafe methods and performed by unskilled providers, also contributing to abortion morbidity. This paper provides new representative abortion-related morbidity measures at the national and subnational levels from a large-scale 2015 study of six Indian states—Assam, Bihar, Gujarat, Madhya Pradesh, Tamil Nadu and Uttar Pradesh. The outcomes include the number and treatment rates of women with complications resulting from induced abortion and the type of complications. The total number of women treated for abortion complications at the national level is 5.2 million, and the rate is 15.7 per 1000 women of reproductive age per year. In all six study states, a high proportion of all women receiving postabortion care were admitted with incomplete abortion from use of MA—ranging from 33% in Tamil Nadu to 65% in Assam. The paper fills an important gap by providing new evidence that can inform policy-makers and health planners at all levels and lead to improvements in the provision of postabortion care and legal abortion services—improvements that would greatly reduce abortion-related morbidity and its costs to Indian women, their families and the healthcare system.

scholarly journals Does Causation hold for Panel Data in between SDP and NTR among Indian States?

2014 ◽  
Vol 10 (1) ◽  
pp. 3-15
Author(s):  
Alok Kumar Pandey
Keyword(s):  
Growth Rate ◽  
Panel Data ◽  
Tamil Nadu ◽  
Panel Cointegration ◽  
Uttar Pradesh ◽  
Domestic Product ◽  
Tax Revenue ◽  
Federal System ◽  
Indian States ◽  
Indian Economy

Inadequate revenue sources, uncontrolled growth of current expenditures and failure of central transfers to grow as fast as the states ‘own revenues’ have been the major sources of fiscal imbalance at states level. The existence of nexus in between NTR and SDP can be examined in several ways like growth rates relating to SDP and NTR, proportion of NTR to SDP, several policies relating to accelerate SDP and NTR, etc. So far as inter-state non-tax revenue and state domestic product in India is concerned, limited studies have been done. Present study tries to explore the stationarity and cointigration between Non Tax Revenue and State Domestic Product of twenty major states of Indian federal system in panel data structure for the period 1980-81 to 2011-12.The objectives of the study are: to test the panel stationary of Domestic Production and Non Tax Revenue of the major states of the Indian federal system for the period 1980-81 to 2011-12 in terms of total and growth rate and to test the panel cointegration in between SDP and NTR for the Indian federal system of twenty major states state for the period 1980-81 to 2011-12 in terms of total and growth rate. In the present study data has been taken from Handbook of Statistics on Indian Economy and State Finance for twenty major states; Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Nagaland, Orissa, Punjab, Rajasthan, Tamil Nadu, Tripura and Uttar Pradesh (Handbook of Statistics on Indian Economy 2011-12).In the present study, LLC (2002) and IPS (2003) tests of stationarity have been used. Kao (1999) test of panel cointegration shows that the SDP and NTR and NTR and SDP for the twenty states for the period under study are cointegrable. The results of the study suggest that state domestic product of the states are causing the non tax revenue of the states  and  the non tax revenue of the states  are also causing state domestic product of the states for Indian federal system.

scholarly journals Temporal evolution of COVID-19 in the states of India using SIQR Model

2020 ◽  
Author(s):  
Alok Tiwari
Keyword(s):  
Tamil Nadu ◽  
Temporal Evolution ◽  
Reproduction Number ◽  
Uttar Pradesh ◽  
National Average ◽  
Indian Government ◽  
Indian States ◽  
Steady Rate ◽  
Entire Nation ◽  
Second Wave

ABSTRACTCOVID 19 entered during the last week of April 2020 in India has caused 3,546 deaths with 1,13,321 number of reported cases. Indian government has taken many proactive steps, including strict lockdown of the entire nation for more than 50 days, identification of hotspots, app-based tracking of citizens to track infected. This paper investigated the evolution of COVID 19 in five states of India (Maharashtra, UP, Gujrat, Tamil Nadu, and Delhi) from 1st April 2020 to 20th May 2020. Variation of doubling rate and reproduction number (from SIQR) with time is used to analyse the performance of the majorly affected Indian states. It has been determined that Uttar Pradesh is one of the best performers among five states with the doubling rate crossing 18 days as of 20th May. Tamil Nadu has witnessed the second wave of infections during the second week of May. Maharashtra is continuously improving at a steady rate with its doubling rate reaching to 12.67 days. Also these two states are performing below the national average in terms of infection doubling rate. Gujrat and Delhi have reported the doubling rate of 16.42 days and 15.49 days respectively. Comparison of these states has also been performed based on time-dependent reproduction number. Recovery rate of India has reached to 40 % as the day paper is written.

Open and Distance Education in India

2018 ◽  
Vol 9 (2) ◽  
pp. 1-13
Author(s):  
Sovik Mukherjee
Keyword(s):  
Distance Education ◽  
Tamil Nadu ◽  
Andhra Pradesh ◽  
Uttar Pradesh ◽  
Principal Component ◽  
Simple Regression Model ◽  
Education In India ◽  
Level Of Economic Development ◽  
Effectiveness Index ◽  
High Degree

The goal of this article is to look into the effectiveness of ODL on the level of economic development across fifteen major states in India, viz., Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Odisha, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh and West Bengal by constructing an ODL Effectiveness Index (ODLEI). The variables considered here are — 1) number of ODL institutes in the state concerned, 2) number of students enrolled in such institutes, 3) logarithmic value of per-capita GSDP and 4) state-wise literacy rates. The index construction method employs Principal Component Analysis (PCA) given the high-degree of multicollinearity among the variables. Comparison of the value of ODLEI in 2015 with the value of ODLEI in 2010 is also something that this article talks about. Also, using a simple regression model, this article attempts to underline the nexus between growth, measured by means of change in the GDP growth with the level of enrolment in distance education in India.

Multi-dimensional public–private partnership readiness index: a sub-national analysis of India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sakshi Malik ◽  
Simrit Kaur
Keyword(s):  
Tamil Nadu ◽  
National Level ◽  
Composite Index ◽  
Secondary Data ◽  
Principal Component ◽  
State Level ◽  
Political Stability ◽  
Indian States ◽  
Content Type ◽  
National Analysis

Purpose Despite being a global public–private partnerships (PPPs) leader, India faces a vast PPP divide at a sub-national level, wherein a few states receive the majority of PPP projects, whereas other states face severe issues in attracting PPP investments. This necessitates the identification of factors that make some states attractive to PPP investors. The purpose of this study is to construct a “PPP readiness index” at the Indian state-level, which aims to assess the readiness of states for the diffusion of PPPs. Design/methodology/approach Using a quantitative method on secondary data, the study scores 17 Indian states on dimensions such as experience with PPPs, physical infrastructure, financial sector development, market conditions, institutional quality and political stability and fiscal constraints for each of the years during 2009–2018. Principal component analysis is used for assigning weights to the dimensions, thereby arriving at the composite index. Findings Results highlight that Tamil Nadu and Maharashtra offer the most favorable environment for PPPs to flourish. In contrast, Jharkhand and Bihar are laggards because they score the least and have limited PPP experience. Practical implications The index will assist the private sector in conducting a comparative analysis between state-specific PPP arrangements, thereby enabling them to make informed decisions prior to forging PPP arrangements. Further, the index will help the state governments in improving their PPP readiness by following the policies of the leading states. Social implications Improvement in PPP readiness of the states will enable higher PPP investments in infrastructure, thereby reducing infrastructure deficits. This, in turn, will lead to economic growth, development and an improvement in the quality of life. Originality/value To the best of the authors’ knowledge, this is the first study that comprehensively analyzes the PPP readiness at a sub-national level in India.

Multidimensional Human Deprivation in India: Does Club Convergence Exist?

2021 ◽  
pp. 097639962098100
Author(s):  
Sushil Kr. Haldar ◽  
Sulekha Hembram ◽  
Suraj Das
Keyword(s):  
Principal Component Analysis ◽  
Uttar Pradesh ◽  
Principal Component ◽  
Multidimensional Poverty ◽  
Capital Investments ◽  
Poverty Index ◽  
Club Convergence ◽  
Multidimensional Poverty Index ◽  
Time Points ◽  
Human Capital Investments

A new measure of multidimensional human deprivation index (MHDI) across 24 states (over 4 time points corresponding to NFHS 1, 2, 3 and 4) is suggested here using principal component analysis (PCA). We observe that our weighted MHDI is found to be consistent with the Human Poverty Index (HPI) and the Multidimensional Poverty Index (MPI) introduced by UNDP in 1997 and 2010, respectively. Though most of the states in India have been experiencing a decline of the incidence of MHDI, but club convergence clearly proves that five major states such as Rajasthan, Madhya Pradesh, Bihar, Uttar Pradesh and Odisha are found consistently to be stable in the higher group of MHDI. Lagged MHDI, human capital investments along with availability of infrastructure are the underlying factors of differential MHDI across states. Therefore, allocation of grants should consider these issues of chronic MHDI found in five major states in order to ensure regional balance, equity and social justice in our federal structure.

scholarly journals Evaluation of Water Quality of Kaveri River in Tiruchirappalli District, Tamil Nadu by Principal Component Analysis

2016 ◽  
Vol 11 (1) ◽  
pp. 89-95 ◽  
Author(s):  
Monikandon Sukumaran ◽  
Kesavan Devarayan
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Tamil Nadu ◽  
Oxygen Demand ◽  
Principal Component ◽  
Component Analysis ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Linear Relationships

Principal component analysis is a unique technique for reducing the dimensionality of the data. In this study, ten water quality parameters of the river Kaveri observed at five different stations of Tiruchirappalli for six years were collected and subjected to principal component analysis. A computational program was prepared in order to process and understand the data as a cluster. At first necessary data for compiling the program were listed and then fed to the program. Then the outputs were analyzed and possible linear and non-linear relationships between the water quality parameters and the timeline. It is understood that biological oxygen demand and fecal coli had a linear relationship. Further, the results suggested for group of factors that influence the water quality in a particular year.

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