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1

Kang, Dahyun, Sun Lee i Sung Jin Kang. "Financial Institution Development and Economic Growth: Dynamic Panel Evidence from the Developing Economies". Korean Development Economics Association 28, nr 2 (30.06.2022): 1–31. http://dx.doi.org/10.20464/kdea.2022.28.2.1.

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This study aims to explore the impact of financial institution development (FID) on economic growth for the world and 54 developing economies from 2000 to 2019 with dynamic panel system GMM estimation. With regard to FID, this study considers 4 different indicators: access, depth, efficiency, and stability. Estimation results are as follows. First, the FID indicators (access, depth, and efficiency) have positive impact on economic growth for the world group and developing economies with stronger effect of access in developing economies. Second, the stability as another FID indicator, liquid assets, is negative only for the developing economies. It means that the higher ratio of liquid assets, the more incentive for financial institution to take on risk. These results were also maintained in the robustness check. Overall, this study suggests that developing economies should enhance their access to financial institution and put in place the measures to manage liquid assets.
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Bryntsev, A. N. "ИНДИКАТОРЫ ГРУЗОПЕРЕВОЗОК И ЭКОНОМИЧЕСКАЯ БЕЗОПАСНОСТЬ". RISK: Resources, Information, Supply, Competition, nr 1 (2020): 63–66. http://dx.doi.org/10.33051/0130-3848-2020-1-63-66.

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The article discusses the issues of economic security, taking into account the congestion of the transport and logistics infrastructure. As an example, the indicator of freight transportation by rail is shown, which allows predicting the onset of crisis situations at an early stage of their development. A brief analysis of the development of the market of information and communication technologies in the light of the formation of a new concept for the formation of business is given.
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Cislaghi, Cesare. "Disuguaglianze a livello individuale e a livello di contesto: significati e indicazioni per l'uso". SALUTE E SOCIETÀ, nr 1 (marzec 2009): 90–104. http://dx.doi.org/10.3280/ses2009-001008.

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- Drugs consumption, both paid by the Health Service and bought by users themselves, is analysed on the basis of population's available assets using data from the 2005 National Survey on Population's Health held by the Italian National Institute of Statistics. Results show differences if the economic indicator is at family level or regional level: in the first case, more disadvantaged people's consumptions are higher; in the second case, people living in richer regions use more drugs. These data however change also according to consumers' age. The hypothetic explanation is that at individual level the economic indicator is very much connected to health conditions, while at regional level there can be a wider economic possibility to buy drugs autonomously. The conclusion a methodological one emphasizes the need to study similar situations through stratified analyses. Keywords: equity, contextual indicators, individual indicators, analysis methods, drugs consumption, epidemiology. Parole chiave: equitÀ, indicatori di contesto, indicatori individuali, metodi di analisi, consumo di farmaci, epidemiologia.
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Karadjova, Vera, i Snezhana Dichevska. "ECONOMIC GROWTH V.S. ECONOMIC DEVELOPMENT – COMPLEMENTARY INDICATORS". Balkans Journal of Emerging Trends in Social Sciences 2, nr 1 (2019): 28–38. http://dx.doi.org/10.31410/balkans.jetss.2019.2.1.28-38.

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The paper deals with a topic relating to the economic growth, development and general welfare of a national economy, a wider region, or even the entire world, through indicators that differentiate growth from development. It is a complex subject that contains numerous aspects of the life of a community in a certain space, which, because of its complexity, cannot be limited exclusively to economic aspects, so because of that cannot be limited exclusively to economic or monetary indicators. Life in a community besides the economic includes also legal, sociological, philosophical, psychological and other aspects, from which it logically results that measuring the development and welfare is a complex process that can hardly be limited to one indicator. In that sense, the paper addresses issues relating to production, distribution, fairness and equality, employment, unemployment, poverty, productivity, economic stability, sustainable development, human development, a sense of well-being and happiness, etc., in the direction of the thesis for the use of complementary development indicators. The complexity of the process of harmonizing the numerous indicators is further complicated by the need to calculate the degree of their mutual correlation, especially if it concerns divergent indicators or indicators that are mutually exclusive or have a negative correlation. The issue of welfare has been the subject of economic science interest since its very beginnings, even from the time of the first ancient thinkers when it was not singled out as an independent science, through the utopians, to contemporary economic thought. The economic operation and the rational use of limited resources in order to meet unlimited human needs is the heart of the economy. The basic indicator used to measure economic growth is undoubtedly the GDP and GDP per capita. But one has to take into account the distinction between quantitative growth and qualitative development, whereby GDP is an indicator of growth. Development is a broader concept that covers growth, but also technological and any other kind of advancement of the social community. Development as a qualitative feature means the advancement of the qualitative characteristics of society and the well-being of individuals, and the well-being is not only the increase of GDP, but the subjective sense of the people in the community that they live better, a sense of improving the quality of life. Growth and development together make the progress of the community. In this sense the paper elaborates just a few indicators of growth and development that are used parallel, such as GDP, Human Development Index, and the World Happiness index, that do not exclude each other and whose interwoven use gives a fuller picture of growth and development although the ranking of countries around the world according to one of these indicators may be quite different with respect to the ranking according to the other indicator. This only confirms the thesis of the need for a more comprehensive analysis of the analyzed issues and suggestions for a more comprehensive indicator that would be a complementary set of several alternative and complementary ones that would eliminate the shortcomings of its constituent parts, thereby obtaining a relevant indicator of economic development and welfare, without any intention to propose a concrete solution.
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5

Wardayati, Siti Maria. "ANALISIS PERSONALITY AUDITOR INTERN SERTA PENGSRUHNYA TERHADAP KINERJA BAITUL MAL WAT TAMWIL". Economica: Jurnal Ekonomi Islam 1, nr 2 (18.05.2016): 47. http://dx.doi.org/10.21580/economica.2010.1.2.841.

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<p>A classic problem faced by the management of sharia financial institutions, in this case Baitul Mal Wat Tamwil (BMT), has been being still the same from year to year, namely the limitation of human resources in term of quality, including their internal auditors. An internal auditor is able to influence<br />the performance of sharia financial institutions whether it is good or bad, because an internal auditor is responsible for providing analysis, information, financial evaluation services, even for giving recommendations to the management. The goals of this research are (1) to find out the characteristics of the variables of the research, namely: internal auditor’s personality, internal auditor’s professionalism, internal auditor’s work result, and sharia financial institution’s<br />performance. The result of the research demonstrates that (1) as regards the variable of internal auditor’s personality, formal education indicator could not explain internal auditor’s personality, as regards the variable of internal auditor’s professionalism, professional social responsibility<br />indicator was the strongest indicator in explaining internal auditor’s professionalism, as regards internal auditor’s work result, management’s commitment indicator is the strongest indicator in explaining internal auditor’s work result, and as regards sharia financial institution’s (BMT) performance variable, capital structure and efficiency is two strongest indicators in explaining sharia financial institution’s (BMT) performance, and (2) internal auditor’s personality, internal<br />auditor’s professionalism, internal auditor’s work result, and sharia financial institution’s performance has a positive and significant correlation, which mean that the better the auditor<br />internal’s personality the more professional the internal auditor, the more professional the internal auditor the better the work result, the better the work result the better sharia financial institution’s (BMT) performance.</p>
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6

Clink, Kellian. "Economic Indicators". Reference Reviews 31, nr 1 (16.01.2017): 16. http://dx.doi.org/10.1108/rr-08-2016-0212.

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Trung, Nguyen Ngoc. "Green Economy, Circular Economy And Sustainable Economic Development Index: Some Theoretical Analysis From Current Approaches". International Journal of Current Science Research and Review 05, nr 10 (11.10.2022). http://dx.doi.org/10.47191/ijcsrr/v5-i10-12.

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In recent years, research approaches on green growth, green economy and circular economy have attracted both developed and developing countries. The study of how the world approaches in recent years has a practical significance in building indicators of sustainable economic development. Analyzing articles regarding the above issues recommend some lessons for nations, especially in building measuring tool. Firstly, in terms of green growth, increasing renewable products such as wind power, marine microalgae and other fuels may contribute to greening growth and green economy. Building a hierarchical material management system based on principles of circular economy is recommended.
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"Economic Indicators". Oil and Energy Trends 46, nr 1 (styczeń 2021): 50–52. http://dx.doi.org/10.1111/oet.13_12687.

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"Economic Indicators". Oil and Energy Trends 46, nr 4 (kwiecień 2021): 50–52. http://dx.doi.org/10.1111/oet.13_12693.

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"Economic Indicators". Oil and Energy Trends 46, nr 5 (maj 2021): 56–58. http://dx.doi.org/10.1111/oet.12_12695.

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"Economic Indicators". Oil and Energy Trends 46, nr 2 (luty 2021): 56–58. http://dx.doi.org/10.1111/oet.13_12689.

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"Economic Indicators". Oil and Energy Trends 46, nr 3 (marzec 2021): 48–50. http://dx.doi.org/10.1111/oet.13_12691.

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"Economic Indicators". Oil and Energy Trends 47, nr 6 (czerwiec 2022): 48–50. http://dx.doi.org/10.1111/oet.13_12785.

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"Economic Indicators". Oil and Energy Trends 47, nr 7 (lipiec 2022): 50–52. http://dx.doi.org/10.1111/oet.13_12787.

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"Economic Indicators". Oil and Energy Trends 47, nr 8 (sierpień 2022): 56–58. http://dx.doi.org/10.1111/oet.13_12789.

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"Economic Indicators". Oil and Energy Trends 47, nr 5 (maj 2022): 70–72. http://dx.doi.org/10.1111/oet.13_12783.

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"Economic Indicators". Oil and Energy Trends 47, nr 9 (wrzesień 2022): 48–50. http://dx.doi.org/10.1111/oet.13_12791.

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"Economic Indicators". Oil and Energy Trends 47, nr 10 (październik 2022): 50–52. http://dx.doi.org/10.1111/oet.13_12793.

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"Economic Indicators". Oil and Energy Trends 47, nr 4 (kwiecień 2022): 50–52. http://dx.doi.org/10.1111/oet.13_12781.

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"Economic Indicators". Oil and Energy Trends 46, nr 12 (grudzień 2021): 48–50. http://dx.doi.org/10.1111/oet.13_12709.

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"Economic indicators". Choice Reviews Online 42, nr 04 (1.12.2004): 42–1949. http://dx.doi.org/10.5860/choice.42-1949.

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"Economic Indicators". Oil and Energy Trends 46, nr 10 (październik 2021): 50–52. http://dx.doi.org/10.1111/oet.13_12705.

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"Economic Indicators". Oil and Energy Trends 46, nr 6 (czerwiec 2021): 48–50. http://dx.doi.org/10.1111/oet.13_12697.

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"Economic Indicators". Oil and Energy Trends 46, nr 8 (sierpień 2021): 56–58. http://dx.doi.org/10.1111/oet.13_12701.

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"Economic Indicators". Oil and Energy Trends 47, nr 1 (styczeń 2022): 50–52. http://dx.doi.org/10.1111/oet.13_12775.

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"Economic Indicators". Oil and Energy Trends 47, nr 3 (marzec 2022): 48–50. http://dx.doi.org/10.1111/oet.13_12779.

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"Economic Indicators". Oil and Energy Trends 47, nr 2 (luty 2022): 54–56. http://dx.doi.org/10.1111/oet.13_12777.

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"Economic Indicators". Oil and Energy Trends 46, nr 11 (listopad 2021): 56–58. http://dx.doi.org/10.1111/oet.13_12707.

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"Economic Indicators". Oil and Energy Trends 46, nr 9 (wrzesień 2021): 48–50. http://dx.doi.org/10.1111/oet.13_12703.

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"Economic Indicators". Oil and Energy Trends 46, nr 7 (lipiec 2021): 50–52. http://dx.doi.org/10.1111/oet.13_12699.

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"Economic Indicators". Economic & Labour Market Review 4, nr 10 (październik 2010): 13–14. http://dx.doi.org/10.1057/elmr.2010.140.

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"Economic Indicators". Economic & Labour Market Review 4, nr 11 (16.10.2010): 13–14. http://dx.doi.org/10.1057/elmr.2010.153.

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"Economic Indicators". Economic & Labour Market Review 4, nr 12 (grudzień 2010): 20–21. http://dx.doi.org/10.1057/elmr.2010.163.

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"Economic indicators". Economic & Labour Market Review 5, nr 12 (grudzień 2011): 1–2. http://dx.doi.org/10.1057/elmr.2011.100.

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"Economic Indicators". Economic & Labour Market Review 5, nr 2 (luty 2011): 18–19. http://dx.doi.org/10.1057/elmr.2011.14.

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"Economic Indicators". Economic & Labour Market Review 5, nr 3 (marzec 2011): 12–13. http://dx.doi.org/10.1057/elmr.2011.28.

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"Economic indicators". Economic & Labour Market Review 5, nr 1 (styczeń 2011): 8–9. http://dx.doi.org/10.1057/elmr.2011.3.

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"Economic Indicators". Economic & Labour Market Review 5, nr 4 (kwiecień 2011): 13–14. http://dx.doi.org/10.1057/elmr.2011.38.

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"Economic Indicators". Economic & Labour Market Review 5, nr 6 (czerwiec 2011): 1–3. http://dx.doi.org/10.1057/elmr.2011.57.

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"Economic Indicators". Economic & Labour Market Review 5, nr 7 (lipiec 2011): 1–3. http://dx.doi.org/10.1057/elmr.2011.61.

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"Economic Indicators". Economic & Labour Market Review 5, nr 8 (sierpień 2011): 1–3. http://dx.doi.org/10.1057/elmr.2011.67.

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"Economic Indicators". Economic & Labour Market Review 5, nr 9 (wrzesień 2011): 1–2. http://dx.doi.org/10.1057/elmr.2011.73.

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"Economic indicators". Economic & Labour Market Review 5, nr 10 (październik 2011): 1–2. http://dx.doi.org/10.1057/elmr.2011.81.

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"Economic indicators". Economic & Labour Market Review 5, nr 11 (listopad 2011): 1–2. http://dx.doi.org/10.1057/elmr.2011.91.

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"Economic Indicators". Oil and Energy Trends 40, nr 7 (lipiec 2015): 54–56. http://dx.doi.org/10.1111/oet.13_12260.

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"Economic Indicators". Oil and Energy Trends 40, nr 8 (sierpień 2015): 60–62. http://dx.doi.org/10.1111/oet.13_12268.

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"Economic Indicators". Oil and Energy Trends 40, nr 9 (wrzesień 2015): 52–54. http://dx.doi.org/10.1111/oet.13_12276.

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"Economic Indicators". Oil and Energy Trends 41, nr 1 (styczeń 2016): 56–58. http://dx.doi.org/10.1111/oet.13_12277.

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"Economic Indicators". Oil and Energy Trends 41, nr 2 (luty 2016): 62–64. http://dx.doi.org/10.1111/oet.13_12280.

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"Economic Indicators". Oil and Energy Trends 41, nr 3 (marzec 2016): 52–54. http://dx.doi.org/10.1111/oet.13_12283.

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