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Preprint ARTICLE | doi:10.20944/preprints202403.0800.v1

The Driving Effect of Marine Industry on Marine Pollution: An Empirical Study from China

Cong Yu, Shuguang Dou, Xu Chen, Linhao Zhang, Xianghui Kong

Subject: Social Sciences, Government Keywords: marine industry; marine environment; human activities; pollution; China

Online: 14 March 2024 (10:48:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0871.v1

The Role and Impact of European Supranational Public Governance in Supporting Innovation Ecosystems: An Innovation-Driven SME Perspective

ALBERTO BETTANTI, Paolo Travagli

Subject: Social Sciences, Government Keywords: innovation ecosystem; public policies; public governance; European public initiatives; innovation-driven SME; sustainable economic development

Online: 16 February 2024 (11:34:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0556.v1

Angling for Causality behind Security: Natural Causes of Armed Conflict in Iraq

Ninoslav Malekovic, Maarten Vonk, Laura Birkman, Tim Sweijs, Anna Kononova, Thomas Baeck

Subject: Social Sciences, Government Keywords: Causality; Methodology; Conflict modeling; Non-experimental observations

Online: 9 February 2024 (07:25:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0344.v1

Institutionalizing projectification – the case of Kyrgyzstan

Reinhard Friedrich Wagner, Mladen Radujkovic

Subject: Social Sciences, Government Keywords: Projectification; Institutionalization; Institutional Strategy; Kyrgyzstan

Online: 6 February 2024 (09:29:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0116.v1

Balancing Environmental Sustainability and Economic Development: Perspectives from New Structural Economics

Jiayao Cai, Qiong Chen, Zirun Zhang

Subject: Social Sciences, Government Keywords: Congruence; Environmental Sustainability; Economic Development; pollutant emissions; comparative advantage

Online: 3 January 2024 (10:05:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2082.v1

The Criteria of Chinese Regulatory Framework on Artificial Intelligence: Reflections Based on Cost-Benefit Analysis

Dong Zheng

Subject: Social Sciences, Government Keywords: artificial intelligence; regulation framework; legal risks; cost-benefit analysis; evolutionary game theory

Online: 27 December 2023 (10:17:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1841.v3

The Impact of Electric Vehicle Charging Stations on Light Duty Electric Vehicle Adoption and Rebates in California

Makuochukwu Okoma

Subject: Social Sciences, Government Keywords: Electric Vehicle (EV); Electric Vehicle Charging Stations; California; Rebates; Adoption

Online: 4 December 2023 (11:38:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1841.v2

The Impact of Electric Vehicle Charging Stations on Light Duty Electric Vehicle Adoption and Rebates in California

Makuochukwu Okoma

Subject: Social Sciences, Government Keywords: Electric Vehicle (EV); Electric Vehicle Charging Stations; California; Rebates; Adoption

Online: 27 November 2023 (11:30:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0335.v2

Can Machine Learning Change the Future of Basic Income Model by Predicting Future Vulnerability to Poverty?

Hamed Khalili

Subject: Social Sciences, Government Keywords: Basic income; Poverty; Machine learning; Bayesian beliefs

Online: 27 November 2023 (09:49:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1841.v1

The Impact of Electric Vehicle Charging Stations on Light Duty Electric Vehicle Adoption and Rebates in California.

Makuochukwu Okoma

Subject: Social Sciences, Government Keywords: Electric Vehicle (EV); Electric Vehicle Charging Stations; California; Rebates; Adoption

Online: 30 October 2023 (06:20:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1844.v1

Analyzing EU’s Agricultural Sector and Public Spending Under Climate Change

Gheorghița Dincă, Ioana Cătălina Netcu, Asmaa El-Naser

Subject: Social Sciences, Government Keywords: climate change; public spending; agriculture sector; GMM

Online: 30 October 2023 (06:06:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0335.v1

A Bayesian Approach to Examine the Feasibility of Integrating Machine Learning to Recognize Households’ Eligibility in a Basic Income System

Hamed Khalili

Subject: Social Sciences, Government Keywords: Basic income, Poverty, Machine learning, Bayesian beliefs

Online: 11 September 2023 (13:49:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0541.v1

Recent Reforms and Improvement Efforts in Management in Government: Field Observation and Analysis

Moslehuddin Chowdhury Khaled

Subject: Social Sciences, Government Keywords: management in government; public sector reforms; improvements in government; field research; qualitative research

Online: 8 August 2023 (03:28:31 CEST)

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Purpose: When it comes to improving citizen service delivery standard and processes, or broadly, management in government (MIG), many reform programs and improvement efforts are ongoing across different ministries, departments, and agencies. This paper is part of a larger empirical research where we are interested to know what those programs and projects are, and how they are doing, and what the gaps are. Design/methodology/approach: Analyzing the publicly available data on the government portal and donors’ website, this article provides an overall idea of current reforms in various places of government. In parallel, field research was conducted through visiting agency offices, observing office environment and mechanisms, and interviewing public managers who are working at district and sub-district level offices of directorates or agencies.Findings: As a trend, state-led development process and the traditional mode of administration have moved to New Public Management based quality and performance approach. All donors have their own strategy framework document like ‘Country Assistance strategy’, ‘Country Operations and Business Plan’, Logical Framework Document, Focus or Priority Streams, etc. Many of the projects are sectoral and agency or ministry specific and have an inherent limitations, due to ‘cadre’ based organizational structural arrangement. So, it is common ‘not to own the projects’, rather ‘using the fund as much as possible anyway within the given project duration’. When the fund ends, implementing units, either government or NGOs, abandon the projects. That is why many projects are actually half done without significant and sustained direction.Originality/value: We can conclude that the typical ‘top-down’ or ‘trickle down’ conception is still dominant in design and implementation of reforms programs and service quality efforts. So, how to reach systemically at the bottom where public managers provide services to citizens, needs even more deliberation.

Preprint ARTICLE | doi:10.20944/preprints202306.0105.v1

Analysis of Judiciary Expenditure Due to Productivity Using Machine Learning Techniques

Fernando Freire Vasconcelos, Renato Máximo Sátiro, Luiz Paulo Lopes Fávero, Gabriela Troyano Bortoloto, Hamilton Corrêa Lima

Subject: Social Sciences, Government Keywords: Productivity; Judiciary; Machine Learning

Online: 1 June 2023 (15:31:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2162.v1

Corporate Social Responsibility and Return: Social Impact a Case Study of an Emerging Market Oil Industry in Stock Exchange.

Edmundo Lizarzaburu, Kurt Burneo, Conrado Diego García-Gómez

Subject: Social Sciences, Government Keywords: oil industry; corporate social responsibility; emerging market; social impact; case study

Online: 31 May 2023 (03:13:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1413.v1

Smart Local Governments Facing Turbulence: Robust Governance and Institutional Capacities

Miquel Salvador, David Sancho

Subject: Social Sciences, Government Keywords: Smart Government Strategies; Crisis Environments; Governance Robustness; Institutional Capacities; Effective Local Governance; Evaluation; Indicators Analytical Model.

Online: 19 May 2023 (08:40:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1377.v1

A Study on the Inner Logic of Local Government Emergency Capacity Indicators Based on the G-Dematel-Aism Model

Xianbao Ye, Haonan Wang

Subject: Social Sciences, Government Keywords: Local government emergency management; emergency response capacity; Gray-Dematel; AISM

Online: 19 May 2023 (04:36:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0512.v1

Application Regarding E-Government Use in Local Government of Nigeria

Oluwafemi Victor Oludu, Damla Karagozlu, Tugberk Kaya

Subject: Social Sciences, Government Keywords: E-participation; social media; E-government; Twitter; local government

Online: 8 May 2023 (10:23:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0584.v1

Reviving Bandung’s Economic Engine: COVID-19 Pandemic Impact and the Private Sector’s Engagement

Ahmad Zaini Miftah, Ida Widianingsih, Entang Adhy Muhtar, Ridwan Sutriadi

Subject: Social Sciences, Government Keywords: Economic activity; Computable General Equilibrium (CGE); Sustainable Development Goals (SDG’s); COVID-19

Online: 19 April 2023 (10:25:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0468.v1

The Effects of Tourism on Local Development in Protected Nature Areas: The Case of Three Nature Parks of Sierra Morena (Andalusia, Spain)

María Bahamonde-Rodríguez, Giedrė Šadeikaitė, Francisco Javier García-Delgado

Subject: Social Sciences, Government Keywords: local development; Nature Parks; Sierra Morena; stakeholders; tourism

Online: 28 March 2023 (02:43:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0138.v1

Exposure to Misinformation, Risk Perception and Confidence towards the Government as Factors Influencing Negative Attitudes on COVID-19 Vaccination in Malaysia

Emma Mohamad, Jen Sern Tham, Siti Zaiton Mohd Ajis, Mohammad Rezal Hamzah, Suffian Hadi Ayub, Andi Muhammad Tri Sakti, Arina Anis Azlan

Subject: Social Sciences, Government Keywords: COVID-19; vaccination; government; cross-sectional survey; perceived risk

Online: 11 October 2022 (04:21:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0283.v1

Exploring the Association between Misinformation Endorsement, Opinions on the Government Response, Risk Perception, and COVID-19 Vaccine Hesitancy in the US, Canada, and Italy

Elena Savoia, Nigel Walsh Harriman, Rachael Piltch-Loeb, Marco Bonetti, Veronica Toffolutti, Marcia A. Testa

Subject: Social Sciences, Government Keywords: COVID-19 Vaccine Hesitancy; Misinformation; Government Actions; Communication

Online: 21 March 2022 (10:29:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202106.0307.v1

Analysing Poverty during Covid-19 Pandemic in Indonesia Based on Historical Perspective

Reni Putri Nurhidayati, Moses Pandin

Subject: Social Sciences, Government Keywords: Policy; Poverty; Covid-19 Pandemic; Government

Online: 11 June 2021 (09:02:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0362.v1

Artificial Intelligence (AI) and Poverty Reduction in the Fourth Industrial Revolution (4IR)

David Mhlanga

Subject: Social Sciences, Government Keywords: Artificial intelligence; Fourth Industrial Revolution; Poverty

Online: 16 September 2020 (11:31:39 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0274.v1

A Review on the Novel Coronavirus pandemic (COVID-19) in Bangladesh; Challenges and Initiatives

Md. Riajul Islam Sardar, Md. Shamim Hasan, Md. Mahmud

Subject: Social Sciences, Government Keywords: COVID-19, Bangladesh, Challenges, Initiatives, Controversial issue

Online: 12 September 2020 (15:28:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0298.v1

Government Initiatives for Green Development in Bangladesh

Md. Anowar Hossain Bhuiyan, Shafiqul Hassan, Md. Abud Darda, Md. Wahidul Habib, Md. Belal Hossain

Subject: Social Sciences, Government Keywords: Bangladesh; Government; Green development

Online: 13 August 2020 (10:22:24 CEST)

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Preprint REVIEW | doi:10.20944/preprints202007.0681.v1

Asymptomatic COVID-19; We Don’t Know What We Don’t Know

Olen R. Brown

Subject: Social Sciences, Government Keywords: asymptomatic disease; communicability; COVID-19; death rate; Ro; SARS-CoV-2; social distancing; transmission rate; infection rate; quarantine

Online: 28 July 2020 (11:57:26 CEST)

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Decisions affecting the COVID-19 pandemic, by the individual and those with highest authority, are being made on the basis of unreliable data. Data about cases and deaths are collected daily but represent only a sample of reality. Statistics convert sample data into more reliable estimates. However, statistics have no magical powers; reliability requires dependable data. It is futile to rail against this darkness; COVID-19 is not a scientific experiment. However, we must do better both with data collection and data analysis. In this review, I focus on one element of the data, the asymptomatic case of COVID-19. Without reliable information about this number, decision makers are significantly blinded. By its nature, the asymptomatic case is hidden but contaminating to understanding COVID-19. The true case rate and death rate per case are unknowable without knowing the fraction of cases that are asymptomatic. The best estimate of asymptomatic cases is in the CDC document: COVID-19 Pandemic Planning Scenarios. For four different scenarios the estimates range from 10% to 70%, with the best estimate of 40% for asymptomatic cases. However, even the definition of the asymptomatic case is problematic. In simplest terms, two elements are required: an infection and no symptoms. How is “no symptoms” to be usefully defined? It appears to be analogous to pontificating about black swans from studying only white swans. It implies infection, but how is infection defined? Is it presence of the virus, replication of the virus, or presence of antibodies? Is asymptomatic disease an oxymoron? Without extensive, purposeful screening for specifically defined, essential symptoms and appropriate virus and antibody testing over time, the class of asymptomatic cases remains unknown. Current estimates range from <20% to ˃80%. If low, it can be ignored; if high, it dramatically and proportionately lowers the case rate and the death rate per case. Consequentially, the asymptomatic rate dramatically affects our societal and political responses. In this focused review, we assess the limitations of the published estimates, bring attention to the importance of obtaining accurate data, and exhort that high priority be given in the scientific community to understanding the issue, asymptomatic COVID-19 cases.

Preprint ARTICLE | doi:10.20944/preprints202007.0337.v1

Level of Knowledge, Attitude and Perception About COVID-19 Pandemic and Infection Control: A Cross-Sectional Study Among Veterinarians in Nigeria

Olubukola Adenubi, Oluwawemimo Adebowale, Abimbola Oloye, Noah Bankole, Hezekiah Adesokan, Oladotun Fadipe, Patience Ayo-Ajayi, Adebayo Akinloye

Subject: Social Sciences, Government Keywords: COVID-19; Risk; Knowledge; Attitude; Perception; Veterinarian; Nigeria

Online: 15 July 2020 (12:27:50 CEST)

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Preprint REVIEW | doi:10.20944/preprints202001.0070.v2

Haze, Hunger, Hesitation: Disaster Aid after the 1783 Lakagígar Eruption

Claudia Wieners

Subject: Social Sciences, Government Keywords: Iceland; volcanic eruption; famine; disaster aid

Online: 25 June 2020 (15:51:30 CEST)

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Preprint REVIEW | doi:10.20944/preprints202005.0261.v1

An Extensive Review of Health and Economy of Bangladesh Amid Covid-19 Pandemic

Abdul Kader Mohiuddin

Subject: Social Sciences, Government Keywords: domestic violence during lockdown; healthcare denial; poor adherence to self-quarantine; natural Disasters amid Covid-19; repatriation of migrant workers; supply chain crisis

Online: 15 May 2020 (18:09:10 CEST)

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Preprint REVIEW | doi:10.20944/preprints202001.0070.v1

Haze, Hunger, Hesitation: Disaster Aid after the 1783 Lakagígar Eruption

Claudia Wieners

Subject: Social Sciences, Government Keywords: Iceland; volcanic eruption; famine; disaster aid

Online: 9 January 2020 (05:14:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints201808.0420.v1

MODEL OF COMMUNICATION PLANNING FOR CONTINGENCY PLAN OF DISASTER RISK MANAGEMENT SINABUNG VOLCANO ERUPTION

Puji Lestari, Eko Teguh Paripurno, Sari Bahagiarti Kusumayudha, Arif Rianto Budi Nugroho

Subject: Social Sciences, Government Keywords: communication model, volcanic eruption, contingency planning, risk management, Sinabung

Online: 23 August 2018 (16:06:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201803.0073.v2

Theory of an Emerging-State Actor: the ISIS Case

Timothy Clancy

Subject: Social Sciences, Government Keywords: ISIS, ISIL, DAESH, insurgency, conflict, security, non-state actor, emerging-state actor, combat simulator, geospatial, national security.

Online: 13 March 2018 (14:37:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints201803.0074.v1

Application of Emerging-State Actor Theory: Analysis of Intervention & Containment Policies Using the ISIS Case

Timothy Clancy

Subject: Social Sciences, Government Keywords: ISIS; ISIL; DAESH; insurgency; conflict; security; non-state actor; emerging-state actor; intervention; policy analysis

Online: 12 March 2018 (03:38:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints201803.0073.v1

Theory of an Emerging-State Actor: the ISIS Case

Timothy Clancy

Subject: Social Sciences, Government Keywords: ISIS, ISIL, DAESH, insurgency, conflict, security, non-state actor, emerging-state actor, combat simulator, geospatial, national security.

Online: 9 March 2018 (15:28:27 CET)

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