scholarly journals DEVELOPING A MEASURE OF LOCAL GOVERNMENT’S FINANCIAL CONDITION

2015 ◽  
Vol 29 (2) ◽  
Author(s):  
Irwan Taufiq Ritonga
Keyword(s):  
Local Governments ◽  
Composite Index ◽  
Warning System ◽  
Predictive Ability ◽  
Condition Index ◽  
Short Term ◽  
Financial Flexibility ◽  
Financial Independence ◽  
Financial Condition

This study develops an instrument to measure the financial condition of local governments(LG) in Indonesia. The instrument will serve as an early warning system for local governments’financial management. The instrument to measure their financial condition consists of sixdimensions, namely short-term solvency, long-term solvency, budgetary solvency, service-levelsolvency, financial flexibility, and financial independence. Each dimension has its own indicators.There are a total of eighteen indicators examined in this study. These indicators are combinedto form a composite index, called a Financial Condition Index (FCI). The reliability andvalidity of the composite index is analyzed and the results show that the measures developed inthis study are reliable and valid. In addition, the instrument possesses the criteria of a goodmeasure: it is theoretically sound, a comprehensive assessment, it has predictive ability, distinctiveability, it is practical, objective, and a resistant to manipulation and gaming.Keywords: financial condition, local government, short term solvency, long term solvency,budgetary solvency, service-level solvency, financial flexibility, financial independence

scholarly journals DEVELOPING A MEASURE OF LOCAL GOVERNMENT’S FINANCIAL CONDITION

2015 ◽  
Vol 29 (2) ◽  
Author(s):  
Irwan Taufiq Ritonga
Keyword(s):  
Local Governments ◽  
Composite Index ◽  
Warning System ◽  
Predictive Ability ◽  
Condition Index ◽  
Short Term ◽  
Financial Flexibility ◽  
Financial Independence ◽  
Financial Condition

This study develops an instrument to measure the financial condition of local governments(LG) in Indonesia. The instrument will serve as an early warning system for local governments’financial management. The instrument to measure their financial condition consists of sixdimensions, namely short-term solvency, long-term solvency, budgetary solvency, service-levelsolvency, financial flexibility, and financial independence. Each dimension has its own indicators.There are a total of eighteen indicators examined in this study. These indicators are combinedto form a composite index, called a Financial Condition Index (FCI). The reliability andvalidity of the composite index is analyzed and the results show that the measures developed inthis study are reliable and valid. In addition, the instrument possesses the criteria of a goodmeasure: it is theoretically sound, a comprehensive assessment, it has predictive ability, distinctiveability, it is practical, objective, and a resistant to manipulation and gaming.Keywords: financial condition, local government, short term solvency, long term solvency,budgetary solvency, service-level solvency, financial flexibility, financial independence

scholarly journals ANALISIS INDEKS KONDISI KEUANGAN PEMERINTAH DAERAH PROVINSI ACEH TAHUN 2015-2017

2020 ◽  
Vol 5 (2) ◽  
pp. 297-306
Author(s):  
Irna Mardi Yati ◽  
Jhon Andra Asmara
Keyword(s):  
Secondary Data ◽  
Short Term ◽  
Financial Flexibility ◽  
Financial Independence ◽  
Financial Condition ◽  
Financial Conditions ◽  
Qualitative Descriptive ◽  
Index Value ◽  
Banda Aceh

The study aims to analyze the region's financial state in aceh within 2015-2017. The financial condition is measured by using indexing measures developed by ritonga (2014), which are made up of six dimensions of short term solvability, long-term solvability, budget solvability, financial flexibility, financial independence, service solvability. In 2015, analysis was developed by augmenting the operational solvability dimension. This study is using qualitative descriptive methods and analysed a secondary data obtained through documentary techniques. The result of this study shows that within 3 years the financial district/city in aceh that got the best category of index value is Sabang (0.488), Banda Aceh (0.452), Aceh Tengah (0.444), Aceh Besar (0.389), and Gayo Lues (0.382). While the area government with the value of the financial conditions of the lowest financial level or ranked category is Aceh Tenggara (0,177), Aceh Singkil (0,148) Lhokseumawe (0,106).

Drivers for the financial condition of Local Government: a comparative study between Italy and Spain

2015 ◽  
Vol 13 (2) ◽  
pp. 161-184 ◽  
Author(s):  
Isabel Brusca ◽  
Francesca Manes Rossi ◽  
Natalia Aversano
Keyword(s):  
Local Government ◽  
Comparative Study ◽  
Local Governments ◽  
Comparative Approach ◽  
Financial Sustainability ◽  
Short Term ◽  
Financial Factors ◽  
Financial Condition ◽  
Multidimensional Concept

This paper aims to analyse the influence of socio-economic, political and financial factors on the financial condition of Italian and Spanish local governments in a comparative approach. The research is also aimed at understanding to what extent a model for the analysis of the financial condition can be generalized to different contexts. We assume that the financial condition is a multidimensional concept, with the results highlighting that while in Spain there is a high correlation between the long term financial and short term economic situations and an indicator can combine both dimensions, in Italy both dimensions are differentiated. There are also differences in the drivers of financial sustainability in both countries.

Determinants of Anthropometric Failure Among Tribal Children Younger than 5 Years of Age in Palghar, Maharashtra, India

2021 ◽  
Vol 42 (1) ◽  
pp. 55-64
Author(s):  
Angeline Jeyakumar ◽  
Swapnil Godbharle ◽  
Bibek Raj Giri
Keyword(s):  
Odds Ratio ◽  
Composite Index ◽  
Z Score ◽  
Short Term ◽  
Cross Sectional Survey ◽  
Crude Odds Ratio ◽  
Cross Sectional ◽  
Independent Variables ◽  
Child Undernutrition

Background: Measuring undernutrition using composite index of anthropometric failure (CIAF) and identifying its determinants in tribal regions is essential to recognize the true burden of undernutrition in these settings. Objective: To determine anthropometric failure and its determinants among tribal children younger than 5 years in Palghar, Maharashtra, India. Methods: A cross-sectional survey employing CIAF was performed in children <5 years to estimate undernutrition in the tribal district of Palghar in Maharashtra, India. Anthropometric measurements, maternal and child characteristics were recorded from 577 mother–child pairs in 9 villages. Results: As per Z score, prevalence of stunting, wasting, and underweight were 48%, 13%, and 43%, respectively. According to CIAF, 66% of children had at least one manifestation of undernutrition and 40% had more than one manifestation of undernutrition. Odds of anthropometric failure were 1.5 times higher among children of mothers who were illiterate (adjusted odds ratio [AOR] =1.57, 95% CI: 1.0-2.3), children who had birth weight >2.5 kg had lesser odds (AOR: 0.63, 95% CI: 0.4-0.9) of anthropometric failure, and children who had initiated early breastfeeding had 1.5 times higher odds of anthropometric failure (crude odds ratio: 1.5, 95% CI: 1.0-2.1). However, when adjusted for other independent variables, the results were not significant. Conclusion: The alarming proportion of anthropometric failure among tribal children calls for urgent short-term interventions to correct undernutrition and long-term interventions to improve maternal literacy and awareness to prevent and manage child undernutrition.

Predictive value of short-term migration in determining long-term stable fixation in cemented and cementless total knee arthroplasties

2019 ◽  
Vol 101-B (7_Supple_C) ◽  
pp. 55-60 ◽  
Author(s):  
E. K. Laende ◽  
C. G. Richardson ◽  
M. J. Dunbar
Keyword(s):  
Predictive Value ◽  
Predictive Ability ◽  
Porous Metal ◽  
Short Term ◽  
Long Term Follow Up ◽  
Total Knee ◽  
Total Point ◽  
Cementless Components

Aims Early implant migration measured with radiostereometric analysis (RSA) has been proposed as a useful predictor of long-term fixation of tibial components in total knee arthroplasty. Evaluation of actual long-term fixation is of interest for cemented components, as well as for cementless fixation, which may offer long-term advantages once osseointegration has occurred. The objective of this study was to compare the long-term migration with one- and two-year migration to evaluate the predictive ability of short-term migration data and to compare migration and inducible displacement between cemented and cementless (porous metal monoblock) components at least ten years postoperatively. Patients and Methods Patients who had participated in RSA migration studies with two-year follow-up were recruited to return for a long-term follow-up, at least ten years from surgery. Two cemented tibial designs from two manufacturers and one porous metal monoblock cementless tibial design were studied. At the long-term follow-up, patients had supine RSA examinations to determine migration and loaded examinations (single leg stance) to determine inducible displacement. In total, 79 patients (54 female) returned, with mean time since surgery of 12 years (10 to 14). There were 58 cemented and 21 cementless tibial components. Results Migration at one year and two years was significantly correlated with long-term migration (p < 0.001). Median migration at the long-term follow-up was 0.6 mm (maximum total point motion; interquartile range (IQR) 0.4 to 0.9) for the cemented group and 0.6 mm (IQR 0.3 to 1.1) for the cementless group with no difference between groups (p = 0.99). Inducible displacement was significantly lower for the cementless components (p < 0.001). Conclusion Long-term migration was strongly correlated with two-year migration. Although long-term migration was not different for cemented or cementless tibial components, inducible displacement at the long-term visit was significantly lower for these cementless components, suggesting superior fixation. These findings support the predictive value of short-term migration in determining long-term fixation. Cite this article: Bone Joint J 2019;101-B(7 Supple C):55–60

scholarly journals Evaluation of the Policy Effect of China’s Environmental Interview System for Effective Air Quality Governance

2021 ◽  
Vol 18 (17) ◽  
pp. 9006
Author(s):  
Xue Jin ◽  
Ussif Rashid Sumaila ◽  
Kedong Yin ◽  
Zhichao Qi
Keyword(s):  
Air Quality ◽  
Environmental Protection ◽  
Environmental Sustainability ◽  
Local Governments ◽  
Local Governance ◽  
Assessment System ◽  
Control Group ◽  
Short Term ◽  
Interview System

The Ministry of Ecology and Environment of the People’s Republic of China formally proposed an environmental interview system in May 2014, which applies pressure on local governments to fulfill their responsibility toward environmental protection by conducting face-to-face public interviews with their officials. In this paper, 48 cities that were publicly interviewed from 2014–2020 were considered the experimental group and 48 cities surrounding them were the control group. First, the dynamic panel model is applied to initially determine the effect of the policy. Then, a regression discontinuity method (Sharp RD) is used to analyze the short-term and long-term effects and compare the reasons for the differences observed among the estimates of various types of samples. Finally, a series of robustness tests were also conducted. The results show that the environmental interview system can improve air quality. However, because an emergency short-term local governance system exists at present, the governance effect is not long-term and, therefore, not sustainable. Therefore, it suggests that the government should continue to improve the environmental interview system, establish an optimal environmental protection incentive mechanism, and encourage local governments to implement environmental protection policies effectively in the long term. The results of the research are of great significance to the environmental impact assessment system of the world, especially in countries with similar economic systems, which are facing a trade-off between economic growth and environmental sustainability.

scholarly journals A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index

2021 ◽  
Vol 9 (4) ◽  
pp. 399-420
Author(s):  
Weiguo Chen ◽  
Shufen Zhou ◽  
Yin Zhang ◽  
Yi Sun
Keyword(s):  
Stock Price ◽  
Composite Index ◽  
Investor Sentiment ◽  
Stock Index ◽  
Financial Industry ◽  
Medium Term ◽  
Short Term ◽  
Frequency Components ◽  
Original Scale

Abstract According to behavioral finance theory, investor sentiment generally exists in investors’ trading activities and influences financial market. In order to investigate the interaction between investor sentiment and stock market as well as financial industry, this study decomposed investor sentiment, stock price index and SWS index of financial industry into IMF components at different scales by using BEMD algorithm. Moreover, the fluctuation characteristics of time series at different time scales were extracted, and the IMF components were reconstructed into short-term high-frequency components, medium-term important event low-frequency components and long-term trend components. The short-term interaction between investor sentiment and Shanghai Composite Index, Shenzhen Component Index and financial industries represented by SWS index was investigated based on the spillover index. The time difference correlation coefficient was employed to determine the medium-term and long-term correlation among variables. Results demonstrate that investor sentiment has a strong correlation with Shanghai Composite Index, Shenzhen Component Index and different financial industries represented by SWS index at the original scale, and the change of investor sentiment is mainly influenced by external market information. The interaction between most markets at the short-term scale is weaker than that at the original scale. Investor sentiment is more significantly correlated with SWS Bond, SWS Diversified Finance and Shanghai Composite Index at the long-term scale than that at the medium-term scale.

Measuring the Financial Crisis in Local Governments through Data Mining

2010 ◽  
pp. 21-46
Author(s):  
José Luis Zafra-Gómez ◽  
Antonio Manuel Cortés-Romero
Keyword(s):  
Data Mining ◽  
Local Governments ◽  
Financial Analysis ◽  
Capital Expenditure ◽  
Data Mining Technique ◽  
Predictive Capacity ◽  
Financial Independence ◽  
Four Dimensions ◽  
Financial Condition ◽  
Explanatory Factors

In local government, the financial analysis is focused on evaluating the financial condition of municipalities, and this is normally accomplished via an analytic process examining four dimensions: sustainability (or budgetary stability), solvency, flexibility and financial independence. Accordingly, the first goal the authors set out to achieve in this chapter is to determine the principal explanatory factors for each of the above dimensions. This is done by examining a wide range of ratios and indicators normally available in published public accounts, with the aim of extracting the most significant explanatory variables for sustainability, solvency, flexibility and financial independence. They use a rule induction algorithm called CHAID, which provides a highly efficient data mining technique for segmentation, or tree growing. The research sample includes 877 Spanish local authorities with a population of 1000 inhabitants or more. The developed model presents a high degree of explanatory and predictive capacity. For the levels of budgetary sustainability the most significant variables are those related to the current margin, together with the importance of capital expenditure in the budgetary structure. On the other hand, the short-term solvency depends on the liquid funds possessed by the entity. The flexibility, however, depends mainly on the financial load per inhabitant of the municipality, on the total sum of fixed charges. Finally, financial independence depends fundamentally on the transfers that the entity receives and on the fiscal pressure, among other elements.

scholarly journals Deficit, Decay and Deprioritization of Transport Infrastructure in Nigeria: Policy Options for Sustainability

2016 ◽  
Vol 8 (3) ◽  
pp. 55 ◽  
Author(s):  
Lionel Effiom ◽  
Peter Ubi
Keyword(s):  
Local Governments ◽  
Common Knowledge ◽  
Current Data ◽  
Transport Infrastructure ◽  
Sub Saharan Africa ◽  
Short Term ◽  
Road Infrastructure ◽  
The Public ◽  
Sub Saharan

<p>It is common knowledge that Nigeria’s road infrastructure, and indeed the general infrastructure of sub-Saharan Africa, is in a most despicable condition. This paper formalises this observation by providing current data to support the hypothesis. By deploying descriptive and theoretical methodological approaches, it demonstrates that road infrastructure is not only deteriorating but also suffers from a twin evil of deficit and deprioritisation in the public sector’s preferential scale–a state of indifference of sorts. Long and short term policy choices have to be made to urgently address the issue. In the short term, infrastructure concessions, public private partnerships (PPP), pension funds, sovereign wealth fund, savings from reduction in fuel subsidies, leveraging on the Africa Growth and Opportunity Act (AGOA) mechanism–are part of the portfolio of choices that government can readily choose from. In the long term however, the paper recommends increase in the statutory allocation to the states and local governments which would ensure that component units of the federation control more resources to deploy and develop infrastructure in their immediate domain.</p>

Research on Index Measurement Model of Early-Warning for Listed Companies in Shipbuilding Industry

2007 ◽  
Vol 10-12 ◽  
pp. 18-22
Author(s):  
X.Z. Wei ◽  
J.M. Wu ◽  
R. Wu
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Composite Index ◽  
Warning System ◽  
Listed Companies ◽  
Measurement Model ◽  
Shipbuilding Industry ◽  
Financial Condition ◽  
Index Measurement ◽  
Individual Index

It is extremely essential to establish financial early-warning system for listed companies in Chinese shipbuilding industry. Taking “Jiangnan Shipyard (Group) Co., Ltd” of shipbuilding industry as an example, this paper testifies the validity of index measurement model of financial early-warning, monitors its recent financial condition based on individual index and composite index, and then analyzes the financial alarm degree.

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