Dataset for "E-Government for Corruption Control under the Moderating Role of Regulatory Quality: A Reagent–Flux Recrystallization Perspective"e
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2026
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| _version_ | 1866902137083002880 |
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| author | Banerjee |
| author_facet | Banerjee |
| contents | <div class="otQkpb">Dataset Description: E-Government, Regulatory Quality, and Corruption Control (2012–2024)</div> <div class="n6owBd awi2gc"><strong class="Yjhzub">Overview</strong><br>This dataset supports the empirical analysis of the relationship between <span class="Yjhzub">e-government development (EGOV)</span> and <span class="Yjhzub">Corruption Control (CC)</span>, specifically examining the moderating influence of <span class="Yjhzub">Regulatory Quality (RQ)</span>. The data is organized as a balanced panel of <span class="Yjhzub">133 countries</span> spanning <span class="Yjhzub">2012–2024</span>.</div> <div class="n6owBd awi2gc"><strong class="Yjhzub">Variable Operationalization</strong></div> <ul class="KsbFXc U6u95"> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">EGOV:</span> Measured via the <span class="Yjhzub">E-Government Development Index (EGDI)</span> and its three pillars: Online Services (OS), Telecommunications Infrastructure (TI), and Human Capital (HC). <em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://publicadministration.un.org/egovkb/en-us/Data-Center" rel="noopener">United Nations E-Government Knowledgebase (UN DESA)</a></span></span><span class="T286Pc"><br></span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Regulatory Quality (RQ):</span> Sourced from the Worldwide Governance Indicators (WGI).</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Corruption Control (Outcome):</span> Operationalized through the <span class="Yjhzub">Corruption Perceptions Index (CPI)</span>.Source: Transparency International.<em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://www.transparency.org/en/cpi" rel="noopener">Transparency International - Corruption Perceptions Index</a></span></span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Controls:</span> Voice and Accountability (VA) <em class="eujQNb">Source:</em> <span class="T286Pc">World Bank Worldwide Governance Indicators (WGI)</span>, Trade Openness (TO), Economic Development (Log GDP per capita) These are sourced from <em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://databank.worldbank.org/source/world-development-indicators" rel="noopener">World Bank World Development Indicators (WDI)</a></span> and World Press Freedom Index (WPFI). Sourced from <span><a class="H23r4e" href="https://rsf.org/en/index" rel="noopener">Reporters Without Borders</a></span>.</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Controls:</span> Press Freedom Index (WPFI). <span><a class="H23r4e" href="https://rsf.org/en/index" rel="noopener">Reporters Without Borders</a></span>.</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Instruments:</span> Secure internet servers and mobile penetration (used for IV estimation). <em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://databank.worldbank.org/source/world-development-indicators" rel="noopener">World Bank World Development Indicators (WDI)</a></span></span></li> </ul> <div class="n6owBd awi2gc"><strong class="Yjhzub">File Structure and Model Mapping</strong><br>The dataset is provided in a single workbook with two distinct spreadsheets, structured to facilitate the sequential testing of five econometric models based on the temporal lag of the outcome variable (CPI):</div> <ul class="KsbFXc U6u95"> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Sheet 1 (Models 1, 2, & 3):</span> Contains the primary panel data including the contemporaneous outcome variable (<span class="Yjhzub">CPI</span>) and short-term lags (<span class="Yjhzub">CPI_t+1</span>, <span class="Yjhzub">CPI_t+2</span>).</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Sheet 2 (Models 4 & 5):</span> Contains the extended longitudinal data specifically for models requiring longer-term lags (<span class="Yjhzub">CPI_t+3</span> and <span class="Yjhzub">CPI_t+4</span>).</span></li> </ul> <div class="n6owBd awi2gc"><strong class="Yjhzub">Methodological Design</strong><br>The data is formatted for <span class="Yjhzub">Within–Between (Mundlak) decomposition</span>, including both group-mean centered variables (within-country effects) and country-level means (structural between-country effects). This dual-sheet structure ensures the balanced panel remains robust even as the time-horizon for the "corruption gestation" period increases across the five models.</div> <div class="n6owBd awi2gc"> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20057951 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dataset for "E-Government for Corruption Control under the Moderating Role of Regulatory Quality: A Reagent–Flux Recrystallization Perspective"e Banerjee <div class="otQkpb">Dataset Description: E-Government, Regulatory Quality, and Corruption Control (2012–2024)</div> <div class="n6owBd awi2gc"><strong class="Yjhzub">Overview</strong><br>This dataset supports the empirical analysis of the relationship between <span class="Yjhzub">e-government development (EGOV)</span> and <span class="Yjhzub">Corruption Control (CC)</span>, specifically examining the moderating influence of <span class="Yjhzub">Regulatory Quality (RQ)</span>. The data is organized as a balanced panel of <span class="Yjhzub">133 countries</span> spanning <span class="Yjhzub">2012–2024</span>.</div> <div class="n6owBd awi2gc"><strong class="Yjhzub">Variable Operationalization</strong></div> <ul class="KsbFXc U6u95"> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">EGOV:</span> Measured via the <span class="Yjhzub">E-Government Development Index (EGDI)</span> and its three pillars: Online Services (OS), Telecommunications Infrastructure (TI), and Human Capital (HC). <em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://publicadministration.un.org/egovkb/en-us/Data-Center" rel="noopener">United Nations E-Government Knowledgebase (UN DESA)</a></span></span><span class="T286Pc"><br></span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Regulatory Quality (RQ):</span> Sourced from the Worldwide Governance Indicators (WGI).</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Corruption Control (Outcome):</span> Operationalized through the <span class="Yjhzub">Corruption Perceptions Index (CPI)</span>.Source: Transparency International.<em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://www.transparency.org/en/cpi" rel="noopener">Transparency International - Corruption Perceptions Index</a></span></span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Controls:</span> Voice and Accountability (VA) <em class="eujQNb">Source:</em> <span class="T286Pc">World Bank Worldwide Governance Indicators (WGI)</span>, Trade Openness (TO), Economic Development (Log GDP per capita) These are sourced from <em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://databank.worldbank.org/source/world-development-indicators" rel="noopener">World Bank World Development Indicators (WDI)</a></span> and World Press Freedom Index (WPFI). Sourced from <span><a class="H23r4e" href="https://rsf.org/en/index" rel="noopener">Reporters Without Borders</a></span>.</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Controls:</span> Press Freedom Index (WPFI). <span><a class="H23r4e" href="https://rsf.org/en/index" rel="noopener">Reporters Without Borders</a></span>.</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Instruments:</span> Secure internet servers and mobile penetration (used for IV estimation). <em class="eujQNb">Source:</em> <span><a class="H23r4e" href="https://databank.worldbank.org/source/world-development-indicators" rel="noopener">World Bank World Development Indicators (WDI)</a></span></span></li> </ul> <div class="n6owBd awi2gc"><strong class="Yjhzub">File Structure and Model Mapping</strong><br>The dataset is provided in a single workbook with two distinct spreadsheets, structured to facilitate the sequential testing of five econometric models based on the temporal lag of the outcome variable (CPI):</div> <ul class="KsbFXc U6u95"> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Sheet 1 (Models 1, 2, & 3):</span> Contains the primary panel data including the contemporaneous outcome variable (<span class="Yjhzub">CPI</span>) and short-term lags (<span class="Yjhzub">CPI_t+1</span>, <span class="Yjhzub">CPI_t+2</span>).</span></li> <li class="Z1qcYe"><span class="T286Pc"><span class="Yjhzub">Sheet 2 (Models 4 & 5):</span> Contains the extended longitudinal data specifically for models requiring longer-term lags (<span class="Yjhzub">CPI_t+3</span> and <span class="Yjhzub">CPI_t+4</span>).</span></li> </ul> <div class="n6owBd awi2gc"><strong class="Yjhzub">Methodological Design</strong><br>The data is formatted for <span class="Yjhzub">Within–Between (Mundlak) decomposition</span>, including both group-mean centered variables (within-country effects) and country-level means (structural between-country effects). This dual-sheet structure ensures the balanced panel remains robust even as the time-horizon for the "corruption gestation" period increases across the five models.</div> <div class="n6owBd awi2gc"> </div> |
| title | Dataset for "E-Government for Corruption Control under the Moderating Role of Regulatory Quality: A Reagent–Flux Recrystallization Perspective"e |
| url | https://doi.org/10.5281/zenodo.20057951 |