The basic econometric model for the suggested interaction effect of resource endowments and institutional quality on economic growth is borrowed from Boschini et al., 2007 and Brunnschweiler, 2007. The approximation for institutional quality must be carefully chosen. The standard proxy variables that are typically employed in the literature with respect to the resource curse are indices such as ICRG, BERI, BI ratings (pioneered by Knack and Keefer, 1995; Mauro, 1995), and the Worldwide Governance Indicators (WGI) suggested by Kaufmann et al. (2010). However, a potential bias in these indicators may arise from the fact that they are based on the subjective assessments of respondents. For instance, the evaluators may be more likely report that governance in a country is good during times of strong economic performance. The use of CIM also has potential risks if the measure is idiosyncratic and irrelevant to contract enforcement and property rights. Clague et al. (1999) reviewed case studies from several countries and found that CIM is a good measure of institutional quality, though some country examples demonstrate idiosyncratic cases. We also use the indicators of governance used by Kaufmann et al. (2010) such as Voice and Accountability (VA), Political Stability and the Absence of Violence (PA), Government Effectiveness (GE), Regulatory Quality (RQ), Rule of Law (RL), and Control of Corruption (CC)—with CIM, was illustrated to examine the suitability of CIM as an institutional quality variable. Purpose: The data obtained is employed for investigation of dissertation. My main objective in this analysis was to assess the impact of resource rent shares of income per capita through various resource curse channels. I hypothesized that natural resource abundance only encourages economic development in countries with high quality economic institutions.

working-age population (ages 15-64)growth rate was extracted from the World Bank Open Data databases .he real GDP (Y) ,the working-age population (L) and the depreciation rate δ were extracted from the Penn World Table 9.1 . The growth rate of technological progress g is assumed to be constant and equal to 1%.the average share of real investment (inclusive of government investment) was calculated based on PWT 9.1 data. The Regulator Quality Index, Corruption Index, Voice and Accountability Index, Political Stabili-ty/No Violence Index, Government Effectiveness Index, and Rule of Law Index were obtained from the Worldwide Governance Indicators (WGI) dataset.This dataset include 4 different samples of countries, with different economic and institutional environment.

Data sourced from the World Governance Indicators (WGI), World Development Indicators (WDI), Human Development Index (HDI), and Inequality measured by the Palma Ratio. This dataset includes six governance indicators from WGI, human development metrics from HDI, economic growth statistics, electricity supply data, CO2 emissions and inequality indicators. The comprehensive dataset spans from 2003 to 2018 and encompasses between 36 to 106 countries, depending on the specific variables.

Somalia SO: CPIA: Quality of Public Administration Rating: 1=Low To 6=High data was reported at 2.000 NA in 2017. Somalia SO: CPIA: Quality of Public Administration Rating: 1=Low To 6=High data is updated yearly, averaging 2.000 NA from Dec 2017 (Median) to 2017, with 1 observations. Somalia SO: CPIA: Quality of Public Administration Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Somalia – Table SO.World Bank: Policy and Institutions. Quality of public administration assesses the extent to which civilian central government staff is structured to design and implement government policy and deliver services effectively.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;

The purpose of this study was to arrive at an authoritative and nuanced assessment of the functioning and quality of Portuguese institutions through an intensive analysis of organizations and agencies deemed emblematic of the nation's institutional framework. The study selected a sample of organizations of national scope, public and private, that are both intrinsically important and capable of casting light on the character on the broader national institutional universe. Investigators were asked not only to provide historical background and detailed analysis of the internal structure and modes of operation of each organization, but to rank them in a series of strategic dimensions of institutional quality drawn from previous theoretical literature in Economics and Sociology. These topics included meritocracy, proactivity, immunity to corruption, technological flexibility, and fairness. The organizations included in this study are: the Energy Corporation (Energias de Portugal - EDP), the Food and Economic Security Authority (Autoridade de Segurança Alimentar e Económica - ASAE), the Postal System (Correios de Portugal - CTT), the Public Health System (Serviço Nacional de Saúde - SNS; Hospital de Santa Maria), and the Stock Exchange (New York Stock Exchange - Euronext Lisbon - LSE), and the Tax Authority (Autoridade Tributária - AT). Surveys were conducted with personnel of the selected organizations to gauge their general value orientations as well as their attitudes toward the organization itself. Questionnaires were answered anonymously and with full guarantees of confidentiality. Surveys were completed with personnel of five of the six institutions selected for the project; the Tax Authority did not participate. Demographic variables include age, sex, gender, education, occupation, and length of employment.

The dataset contains various institutional quality data and those related to market structure for ASEAN and the EU countries. Several other economic variables that serve as determinants of economic growth are also included.

This paper examines the impact of different dimensions of institutional quality indices on economic growth of Sub-Saharan Africa (SSA) countries for the period 1991-2015. Unlike previous studies that either use composite measure of institutions or a single intuitional indicator in isolation, the present study has employed Principal Component Analysis (PCA) to extract fewer institutional indicators from multivariate institutional indices. Accordingly, three institutional indicators, namely, investment-promoting, democratic & regulatory, and conflict-preventing institutions have been identified and their impact on economic growth is analyzed using two-step system-GMM estimation method. The empirical results indicate that investment-promoting and democratic & regulatory institutions have a significant positive effect on economic growth; however, once these institutions accounted for, conflict-preventing institutions do not have a significant impact on growth. Thus, our findings suggest that countries in the region should continue the institutional reform in order to enhance the economic growth of the region. Specifically, institutions promoting investment and democracy & regulatory quality are crucial.

Panel data for 58 developing countries for my paper on investigating how the determinants of institutional quality have a mitigating effect on the natural resource curse in resource-dependent countries.

Connections among selected sub-indicators of institutional quality and the catalogue of transparent lobbying environment

Electoral accountability is widely considered an essential component for maintaining the quality of a polity’s institutions. Nevertheless, a growing body of research has found weak or limited support for the notion that voters punish political corruption, a central but partial aspect of institutional quality. In order to capture the full range of institutional dysfunction an electorate should be incentivized to punish, I further the concept of institutional performance voting, that is, voting on institutional quality as a whole. Using a novel dataset on performance audit reports in Swedish municipalities between 2003 and 2014, I find that audit critique is associated with a statistically significant but substantively moderate electoral loss of about a percentage point for mayoral parties, while simultaneously associated with a 14 percentage point decrease in their probability of reelection.

Governance consists of the traditions and institutions by which authority in a country is exercised. This includes the process by which governments are selected, monitored and replaced; the capacity of the government to effectively formulate and implement sound policies; and the respect of citizens and the state for the institutions that govern economic and social interactions among them. The Worldwide Governance Indicators (WGI) report on six broad dimensions of governance for more than 200 economies since 1996: (I) Voice and Accountability; (II) Political Stability and Absence of Violence; (III) Government Effectiveness; (IV) Regulatory Quality; (V) Rule of Law; and (VI) Control of Corruption. The WGI are composite governance indicators based on over 30 underlying data sources. These data sources are rescaled and combined to create the six aggregate indicators using a statistical methodology known as an unobserved components model. A key feature of the methodology is that it generates margins of error for each governance estimate. These margins of error need to be taken into account when making comparisons across countries and over time. The WGI aggregate indicators and underlying source data are available at http://www.govindicators.org.

For further details, please refer to http://info.worldbank.org/governance/wgi/Home/Documents

Generalised trust is essential for collective action, which is at the heart of many societal problems. Institutional quality has been proposed as a determinant of generalised trust, though while the correlation between the two is strong and robust, the evidence on the causal link is scant. We show that this relationship is causal. We first experimentally expose individuals to institutions of different quality, operationalised as their ability to prevent corrupt behaviour. We then measure generalised trust using a trust game. The results show that institutional quality drives generalised trust and that this effect is generated by the mere doubt that corrupt behaviours might succeed, even without knowledge of occurrence or success of such behaviours. Cross-country comparisons with novel data support our results. Our contributions are the first causal experimental evidence on the link between institutional quality and trust and a novel experimental design for modelling institutional quality in laboratory settings.

This dataset was developed as part of a research project investigating the roles of government spending and institutional quality in shaping inclusive development outcomes in Sub-Saharan Africa. It includes two composite indices: the Inclusive Development Index (IDI) and the Institutional Quality Index (INSTQ) for 43 Sub-Saharan African countries covering the period from 2000 to 2023. The Inclusive Development Index (IDI) was constructed using five normalized and equally weighted indicators: Human Development Index (HDI), employment rate, inverted Gini coefficient (to reflect income equality), access to electricity and clean fuels, and GDP per capita. The Institutional Quality Index (INSTQ) was computed from four governance dimensions sourced from the Worldwide Governance Indicators—government effectiveness, rule of law, regulatory quality, and control of corruption. Each component was normalized and equally weighted to ensure comparability across countries and years. These indices were used in panel econometric analyses, including Panel ARDL and System GMM, to explore both short-run and long-run dynamics of inclusive development in the region. The dataset supports empirical research on equity, governance, and sustainable development policy in low- and middle-income contexts.

Strengthening Governance for Export Competitiveness: A Study of Institutional Quality in Selected Asian Developing EconomiesBy Achinthya Koswattahmkos@ou.ac.lkData file and the Do file (STATA)

Following the approval of sustainable development goals at the global level, the link between fiscal policy, institutional quality, and economic growth has attracted special attention in economic literature. This study scrutinizes the effect of government revenue-institutional quality interaction on the economic growth of 43 Sub-Saharan Africa countries for the period of 2012–2022. Methodology-wise, the study employed the System Generalized Method of Moment (SGMM) to analyze the panel data gained from dependable data sources; the World Development Indicator and the Heritage Economic Freedom Index. The novelty of this study emanates from the estimation technique designated and the introduction of revenue-institutional quality into the economic growth model of SSA. The result of the study reveals that government revenue adversely affects economic growth while institutional quality positively enhances economic growth before interacting with each other. However, the interactive coefficient of government revenue and economic growth positively affected the real GDP growth rate of SSA countries over the study periods. Precisely, before interacting with institutional quality, a percentage change in government revenue, keeping all other things constant, leads to a 0.0866 percent decline in economic growth while it marks a 0.2329 percent upsurge in economic growth in the presence of institutional quality. The result of the study further shows that government revenue promotes the economic growth of the region when combined with institutional quality. On the other hand, foreign direct investment and openness to trade were the key sources of economic growth whereas the population growth rate adversely impacted economic growth in SSA countries. The policy implication of the study is that SSA needs to strengthen government revenue management. Further, the finding of the study implies that SSA countries need to improve institutional quality through promoting efficiency of the regulatory quality and the size of the SSA governments. In addition to this, the fast real GDP growth rate of SSA countries demands improved institutional quality indicators such as the rule of law and extended access to the open market.

[This study utilizes a balanced panel dataset covering 39 Sub-Saharan African countries over the period 2000 to 2022. The dataset includes key indicators across three thematic areas: climate finance, institutional quality, and development outcomes. Climate finance variables comprise mitigation-related finance (LNMRF) and climate-related finance (LNCRF), both measured in natural logarithmic form to normalize distribution and reflect elasticity. Institutional quality (INSTQI) is a composite index derived from six governance dimensions, standardized for cross-country comparability. Development outcomes are measured using three dependent variables: the Climate Resilience Index (CRI), the Inclusive Development Index (IDI), and a newly constructed Climate-Resilient Inclusive Development Index (CRIDI), which combines both resilience and inclusion metrics. Control variables include foreign direct investment (FDI, % of GDP), trade openness (log of trade as % of GDP), GDP growth (annual %), and population growth (annual %), sourced primarily from the World Bank’s World Development Indicators, OECD Climate Finance Database, and relevant institutional governance databases (e.g., Worldwide Governance Indicators). All variables are cleaned, transformed (e.g., log-linearized where appropriate), and harmonized to ensure temporal and spatial consistency. Missing data were treated using multiple imputation and interpolation techniques to preserve the panel structure. The final dataset is suitable for econometric estimation using dynamic panel models such as System GMM and EGLS (Period SUR), which correct for potential endogeneity, heteroskedasticity, and autocorrelation., This study utilizes a balanced panel dataset covering 39 Sub-Saharan African countries over the period 2000 to 2022. The dataset includes key indicators across three thematic areas: climate finance, institutional quality, and development outcomes. Climate finance variables comprise mitigation-related finance (LNMRF) and climate-related finance (LNCRF), both measured in natural logarithmic form to normalize distribution and reflect elasticity. Institutional quality (INSTQI) is a composite index derived from six governance dimensions, standardized for cross-country comparability. Development outcomes are measured using three dependent variables: the Climate Resilience Index (CRI), the Inclusive Development Index (IDI), and a newly constructed Climate-Resilient Inclusive Development Index (CRIDI), which combines both resilience and inclusion metrics. Control variables include foreign direct investment (FDI, % of GDP), trade openness (log of trade as % of GDP), GDP growth (annual %), and population growth (annual %), sourced primarily from the World Bank’s World Development Indicators, OECD Climate Finance Database, and relevant institutional governance databases (e.g., Worldwide Governance Indicators). All variables are cleaned, transformed (e.g., log-linearized where appropriate), and harmonized to ensure temporal and spatial consistency. Missing data were treated using multiple imputation and interpolation techniques to preserve the panel structure. The final dataset is suitable for econometric estimation using dynamic panel models such as System GMM and EGLS (Period SUR), which correct for potential endogeneity, heteroskedasticity, and autocorrelation.]

No description is available. Visit https://dataone.org/datasets/sha256%3Acf463391113745e6d3ecedf38b3ba580d739626ec7577059ee9a6cf114d7f013 for complete metadata about this dataset.

The data is used to assess whether regional financial integration and financial development have a stronger effect on the industrial growth of ECOWAS member countries with a high level of institutional quality than it does in countries with lower levels.

This article investigates institutional quality’s influence on energy poverty outcomes across 45 countries in the region over the period 2002–2022. Employing an Instrumental Variable Generalized Method of Moments (IV-GMM) approach with Driscoll-Kraay standard errors, energy poverty is measured through access to electricity and access to clean cooking fuels and technologies. Institutional quality is captured using the six Worldwide Governance Indicators and a corresponding composite index.

The World Bank's Country Policy and Institutional Assessment is done annually for all its borrowing countries. It has evolved into a set of criteria, which are grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The number of criteria, currently sixteen, reflect a balance between ensuring that all key factors that foster pro-poor growth and poverty alleviation are captured, without overly burdening the evaluation process. Ratings for each of the criteria reflect a variety of indicators, observations, and judgments. They focus on the quality of each country's current policies and institutions - which are the main determinant of present aid effectiveness prospects. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IDA Resource Allocation Index (IRAI).

For further details, please refer to https://thedocs.worldbank.org/en/doc/469321531149313421-0290022018/original/CPIAwebFAQ17.pdf