Benchmarking performance of governance quality in Indian states using MCDM techniques

2018 ◽  
Vol 25 (8) ◽  
pp. 2850-2874
Author(s):  
Alok Raj ◽  
Rupika Khanna
Keyword(s):  
Service Delivery ◽  
State Level ◽  
Law And Order ◽  
Indian States ◽  
Policy Makers ◽  
Content Type ◽  
Promethee Ii ◽  
Social Service Delivery ◽  
Governance Quality ◽  
Key Indicators

Purpose The purpose of this paper is to benchmarking the governance performance of Indian states. Design/methodology/approach This paper provides a framework to measure governance performance at the state level. Using the data on 28 key indicators, the authors evaluate Indian states on seven broad dimensions of governance quality covering several aspects of public service delivery, regulatory quality and law and order. The empirical methodology involves the application of multi-criteria decision making techniques in two steps. The authors, first develop suitable weights of the identified dimensions and criteria under each dimension by applying the inputs of an expert-based decision-panel in a best-worst framework. Next, using these weights, the authors evaluate ranking of each state using TOPSIS and PROMETHEE-II methods. Findings The results indicate wide disparities in the governance performance of Indian states. Based on different indicators, the paper evaluates the rank of all the major Indian states. Results reveal that “Social Service Delivery(S)” is the most influencing dimension for the development of a state. Overall, the authors find Andra Pradesh, NCT of Delhi and Goa to be the leading states in terms of governance quality. Research limitations/implications The paper provides policy makers with easy to use operational indicators to analyse the governance performance of Indian states. These would help in better monitoring of these states through competitive goal-setting for continuous improvement. Originality/value To the best of the authors’ knowledge, this study is the first formal assessment of governance quality in the Indian states in a multi-criteria framework. To this end, the paper addresses the issue of wide regional disparities in the country. The findings of the paper provide powerful insights to policy makers in setting up appropriate strategies to eliminate these disparities.

Do infrastructure and quality of governance matter for manufacturing productivity? Empirical evidence from the Indian states

2018 ◽  
Vol 45 (4) ◽  
pp. 829-854 ◽  
Author(s):  
Rupika Khanna ◽  
Chandan Sharma
Keyword(s):  
State Level ◽  
Indian States ◽  
Content Type ◽  
Financial Infrastructure ◽  
Quality Of Governance ◽  
Governance Quality ◽  
Manufacturing Productivity ◽  
Indian Industries ◽  
The Impact

Purpose The purpose of this paper is to study the impact of infrastructure and governance quality on the state-level productivity of Indian manufacturing for the period 2008–2011. Design/methodology/approach The authors first rank Indian states on their quality of governance using benefit-of-the-doubt approach. Next, to explain state-level differences in total factor productivity (TFP), the authors assess the impact of a composite index of governance on industrial TFP of Indian states using alternate techniques and controlling for endogeneity. The authors also decompose the composite effect of governance in terms of economic, social and financial infrastructure and other key governance dimensions, which serves as another robustness check for the findings. Findings The authors find that TFP varies significantly across states, so does governance quality. Further, results suggest that TFP of Indian industries is sensitive toward public service deliveries of economic, social and financial infrastructure. However, the authors fail to find any impact of law and order indicators, for instance, rate of violent crimes, police strength and judicial service quality on the manufacturing productivity. The estimated coefficient of governance index is robust across alternate methodologies. Originality/value To the authors’ knowledge, this is the first study to assess the impact of regional governance factors on the manufacturing sector of India. The study has identified governance factors that impact manufacturing productivity in the Indian states. Findings suggest that an effective way to eliminate regional growth inequality in India is to ensure that the lagging states initiate reforms to improve the quality of institutions, regulation and governance. Findings of the study contribute to the limited literature on governance at the regional/sub-national level.

scholarly journals Managing the COVID-19 pandemic: does social infrastructure matter? Evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amarendu Nandy ◽  
Chhavi Tiwari ◽  
Sayantan Kundu
Keyword(s):  
Health Care ◽  
Secondary Data ◽  
State Level ◽  
Social Forces ◽  
Linear Regression Models ◽  
Social Infrastructure ◽  
Indian States ◽  
Content Type ◽  
Positive Externalities ◽  
Social Sectors

Purpose The COVID-19 pandemic educed extraordinary policy responses globally, including in India, to flatten the infection-growth curve. The trajectories of infections, recovery, and deaths vastly differed across Indian states. The purpose of this study is to investigate whether persistent investments by states in critical social sectors, such as health and education, explain their preparedness and hence better management of the pandemic. Design/methodology/approach This study uses secondary data on the number of infected, recovered and deceased due to COVID-19, along with data on population and income across 302 districts in 11 major states in India. Data on health and education indices are collected at the state-level. Linear regression models that also control for heteroskedasticity are applied. Findings This study finds that higher investments in health care and education reduce the propensity of the infection spread. Further, states with persistent investments in health care and education exhibit a higher rate of recovery. This study also finds that death rates are significantly lower in states with higher investments in education. Research limitations/implications The findings support the conjecture that states that have consistently invested in social sectors benefited from the associated positive externalities during the crisis that helped them manage the pandemic better. Originality/value This study will help policymakers understand the underlying social forces critical to the success in the fight against pandemics. Apart from improving preparedness for future pandemics, the evidence provided in the paper may help give better direction and purpose to tax-financed public spending in states where social sector development has hitherto received low priority.

scholarly journals Board governance quality and risk disclosure compliance among financial institutions in Uganda

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Geofrey Nkuutu ◽  
Joseph Mpeera Ntayi ◽  
Isaac Nabeeta Nkote ◽  
John Munene ◽  
Will Kaberuka
Keyword(s):  
Financial Institutions ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Board Independence ◽  
Board Governance ◽  
Risk Disclosure ◽  
Policy Makers ◽  
Content Type ◽  
Governance Quality ◽  
The Impact

PurposeThis paper aims to examine the impact of board governance quality (BGQ) and its mechanisms, namely board activity, board independence, board communication and board expertise, on the level of risk disclosure compliance (RDC) among financial institutions (FIs) in Uganda.Design/methodology/approachThe study adopts a cross-sectional design where data are collected through a questionnaire survey and audited financial statements of 83 FIs. The authors employ partial least square structural equation modeling (SmartPLS32.7) to test hypotheses.FindingsThe authors find that the level of RDC in Ugandan FIs is low. Further, the study finds the positive relation between BGQ and RDC. Moreover, the authors find that RDC is positively and significantly related with board activity, board independence, board communication and board expertise. Furthermore, the authors find that the level of RDC is positively and significantly related to ownership type, firm size and board size, respectively. Nevertheless, industry type, number of branches and firm age are insignificantly related to RDC.Practical implicationsThe study provides relevant insights into regulators and policy makers with early symptoms of potential problems regarding weak board governance in FIs. Policy makers may also use these findings as a guideline tool for improving existing board governance frameworks in place and development of new disclosure policies. In addition, the study provides an input into the review and amendments of existing corporate governance codes for the regulators.Originality/valueThis study offers the empirical evidence on the nexus between BGQ and RDC of FIs in Uganda. Moreover, the study also offers evidence on how BGQ mechanisms impact RDC. The study also further adds theoretical foundations to the RDC literature.

Input resources indicators in use for accreditation purpose of higher education institutions

2018 ◽  
Vol 19 (3) ◽  
pp. 176-185 ◽  
Author(s):  
Yazid Mati
Keyword(s):  
Higher Education ◽  
Large Scale ◽  
Higher Education Institutions ◽  
Prospective Students ◽  
Policy Makers ◽  
Content Type ◽  
Accreditation Standards ◽  
Key Indicators ◽  
Students Satisfaction

PurposeHigher education is a complex system that involves multiple inputs and outputs, where various activities and processes are performed. The purpose of this paper is to monitor the input resources used for executing various activities of higher education institutions. These resources are classified into three types: human resources, physical resources and financial resources.Design/methodology/approachThe author examines various national and international accreditation standards to determine their requirements for key performance indicators (KPIs) to monitor input resources. Moreover, the author uses implications proposed by previous research and best practices.FindingsA set of appropriate and generic KPIs is developed for each type of these resources leading to a total of 72 key indicators. These indicators are easy to measure, which makes them practical to be adopted by a large scale of institutions.Practical implicationsThe proposed indicators provide adequate information to administrators and policy-makers, accrediting bodies and stakeholders to identify the progress and achievements. These indicators are also used for benchmarking purposes by comparing the institution’s performance against their comparable institutions counterparts. Moreover, they are used for marketing purposes to commercialize the institution by attracting prospective students and teaching faculty in addition to increasing current students’ satisfaction.Originality/valueThe paper gives special attention to developing a set of generic KPIs for assessing the availability and quality of input resources used for carrying out various activities of higher education institutions for the aim of improving their performance and hence helping them comply with the requirements of accreditation standards.

scholarly journals Macroeconomic uncertainty, corporate governance and corporate capital structure

2018 ◽  
Vol 14 (3) ◽  
pp. 301-321 ◽  
Author(s):  
Yee Peng Chow ◽  
Junaina Muhammad ◽  
A.N. Bany-Ariffin ◽  
Fan Fah Cheng
Keyword(s):  
Corporate Governance ◽  
Capital Structure ◽  
Good Governance ◽  
Policy Makers ◽  
Content Type ◽  
Corporate Capital ◽  
Macroeconomic Uncertainty ◽  
Corporate Capital Structure ◽  
Governance Quality ◽  
The Relationship

PurposeThe purpose of this paper is to examine how corporate governance moderates the relationship between macroeconomic uncertainty and corporate capital structure.Design/methodology/approachThis paper employs the two-step system generalized method of moments regression, considering a sample of 907 listed non-financial firms from seven Asia Pacific countries during the period 2004-2014.FindingsThis study finds that macroeconomic uncertainty has a significant negative impact on the capital structure decisions of firms. The results also reveal that the overall effect of macroeconomic uncertainty on capital structure among firms with better governance quality is significantly negative. The evidence suggests that corporate governance acts as an effective mechanism to curb the usage of leverage during times of high volatility. Further analysis shows that board independence, the separation between the roles of CEO and chairman of the board and blockholders’ ownership are effective governance mechanisms, whereas similar observations do not hold for board size and institutional ownership.Research limitations/implicationsThe findings of this study may be useful to policy makers to formulate appropriate policies to mitigate the adverse effects caused by macroeconomic uncertainty. This is important because macroeconomic uncertainty may have potential destabilizing effects on a country’s or region’s development by jeopardizing the firms’ ability to formulate sound investment, production and financing decisions. Additionally, the results suggest that good governance quality can act as a check and balance to ensure that firms use less leverage when they are facing volatility in the macroeconomic environment. These findings could help to reinforce the importance of good governance among policy makers of a country as well as managers of firms.Originality/valueThe authors make the first attempt to examine the moderating effect of corporate governance on the relationship between macroeconomic uncertainty and corporate capital structure.

Determinants of tourism in Indian states: an empirical analysis

2017 ◽  
Vol 72 (3) ◽  
pp. 330-343 ◽  
Author(s):  
Yashobanta Parida ◽  
Parul Bhardwaj ◽  
Joyita Roy Chowdhury
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
State Level ◽  
Tobit Model ◽  
Indian States ◽  
Content Type ◽  
Prone Area ◽  
Flood Prone Area ◽  
The Impact ◽  
Domestic Tourist

Purpose The purpose of this study is to empirically examine the determinants of foreign and domestic tourist arrivals and revenue receipts from tourism using state-level panel data in 25 Indian states for the period 1995 to 2011. Design/methodology/approach The study uses IV-2SLS method to examine the determinants of foreign and domestic tourist arrivals in Indian states. Economic development (proxied by per capita income, PCI) is an endogenous variable. We have used the state-wise “liable to flood prone area” as an instrument for PCI to control for endogeneity. An inverse relationship exists between state-wise “liable to flood prone area” and real PCI, in a sense that states with greater proportion of area marked as liable to flood experience lower economic development. For robust analysis, the study has also used IV-Tobit model to examine the effects of economic development and crime on revenue receipts from tourism. Findings The empirical results based on IV-2SLS method suggest that, in addition to economic development, other factors such as the presence of world-class monuments, natural landscapes and cultural heritage also encourage both international and domestic visitors in Indian states. While crime activities adversely affect the inflow of foreign and domestic tourist arrivals, terror activities do not significantly impact tourist arrivals and tourism receipts. Finally, the estimates of IV-Tobit model show that economic development and government expenditure on tourism sector leads to a significant increase in tourism receipts. Originality/value To the best of our knowledge, this is the first study done in Indian context in which state-level panel data have been used to examine the impact of economic, social and cultural factors on tourist arrivals and revenue earnings from tourism. Hence, the present study not only contributes to existing tourism literature, but also makes an important contribution to structuring suitable tourism management policies for the Indian states.

Penetration of MFIs among Indian states: an understanding through macro variables

2016 ◽  
Vol 15 (3) ◽  
pp. 294-305 ◽  
Author(s):  
Sougata Ray ◽  
Sushanta Mahapatra
Keyword(s):  
Human Capital ◽  
Regression Models ◽  
Design Methodology ◽  
State Level ◽  
Regional Disparity ◽  
Microfinance Institutions ◽  
Indian States ◽  
Content Type ◽  
Rural Infrastructure ◽  
Macro Variables

Purpose The Indian microfinance industry witnessed one of the fastest growths in the recent times. However, the striking feature of this growth is that the Microfinance Institutions (MFIs) are concentrated only in some specific regions of the country. There is a huge geographical skew in the distribution of the MFIs. In this paper, an attempt has been made to explain these geographical skew by using the macro variables of the states. The objective of the study is to identify the causes for this regional disparity in the growth of MFIs. Design/methodology/approach We try to explain the level of penetration of microfinance in the states by using regression models. Findings Our analysis suggests that state-level macro factors are significant in explaining the geographical skew. MFIs in India have concentrated in states which are richer, have good rural infrastructure, but lack in adequate banking facility, and have low human capital. Originality/value The study provides an insight which would help in framing the necessary regulations to ensure that MFIs operate in all regions of the country.

scholarly journals Increasing autonomy in publically owned services

2015 ◽  
Vol 29 (6) ◽  
pp. 778-794
Author(s):  
Ailsa Cameron ◽  
Pauline Allen ◽  
Lorraine Williams ◽  
Mary Alison Durand ◽  
Will Bartlett ◽  
...  
Keyword(s):  
Health Services ◽  
Service Delivery ◽  
Community Health ◽  
Design Methodology ◽  
Community Health Services ◽  
Policy Makers ◽  
Content Type ◽  
Organisational Form ◽  
Foundation Trusts ◽  
Improve Service Delivery

Purpose – The purpose of this paper is to explore government efforts to enhance the autonomy of community health services (CHS) in England through the creation of Foundation Trusts status. It considers why some CHS elected to become nascent Community Foundation Trusts (CFTs) while others had not and what advantages they thought increased levels of autonomy offered. Design/methodology/approach – Data are drawn from the evaluation of the Department of Health’s CFT pilot programme. Participants were purposively selected from pilot sites, as well as from comparator non-pilot organisations. A total of 44 staff from 14 organisations were interviewed. Findings – The data reveals that regardless of the different pathways that organisations were on, they all shared the same goal, a desire for greater autonomy, but specifically within the NHS. Additionally, irrespective of their organisational form most organisations were considering an almost identical set of initiatives as a means to improve service delivery and productivity. Research limitations/implications – Despite the expectations of policy makers no CFTs were established during the course of the study, so it is not possible to find out what the effect of such changes were. Nevertheless, the authors were able to investigate the attitudes of all the providers of CHS to the plans to increase their managerial autonomy, whether simply by separating from PCTs or by becoming CFTs. Originality/value – As no CFTs have yet been formed, this study provides the only evidence to date about increasing autonomy for CHS in England.

Rethinking the effect of floods and financial development on economic growth

2019 ◽  
Vol 13 (3) ◽  
pp. 485-503 ◽  
Author(s):  
Yashobanta Parida ◽  
Devi Prasad Dash
Keyword(s):  
Financial Development ◽  
Capital Expenditure ◽  
State Level ◽  
Flood Management ◽  
Adverse Impact ◽  
Economic Losses ◽  
Indian States ◽  
Content Type ◽  
Long Run ◽  
Per Capita

Purpose The purpose of this paper is to evaluate the effect of floods and the role of financial development on per capita gross state domestic product (GSDP) growth, controlling for growth-enhancing factors across Indian states. Design/methodology/approach The paper uses the pooled mean group (PMG) method using state-level panel data for 19 Indian states over the period 1981-2011. Findings The PMG estimate shows that floods negatively affect the per capita GSDP growth in the long run. The results show that the mean of economic losses, the population affected and the area affected by floods increase by 10 per cent, leading to a decline in per capita GSDP growth by 0.0303, 0.0633 and 0.0232 per cent, respectively, in the long run. Furthermore, the population affected by floods exerts a higher adverse impact on the per capita GSDP growth compared to other flood measures. The results further show that states with better financial development experience a higher per capita GSDP growth, supported by additional capital expenditure, enrolment in higher education, better road infrastructure and higher urbanization. The crime rate is negatively correlated with per capita GSDP growth. Originality/value The results based on PMG estimates suggest that not only floods but also crime activities adversely affect the per capita GSDP growth across Indian states. Better financial market increases the per capita GSDP growth in the long run. This study not only contributes to empirical growth literature but also provides some useful policy suggestions. Moreover, the results lead to the conclusion that long-term flood management policies are essential to mitigate the adverse impact of floods on per capita GSDP growth across Indian states.

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.

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