Evaluating Government Policies Research Articles

A comprehensive analysis of India’s electric vehicle battery supply chain: barriers and solutions

This study investigates challenges and solutions for India’s battery supply chain in the growing electric vehicle (EV) market. Key obstacles include raw material dependency, supply chain complexity, production costs, environmental impacts, rapid technological changes, and skilled workforce shortages. Methods involve reviewing current supply chains, evaluating government policies like the FAME and PLI schemes, and analyzing strategic partnerships with countries rich in lithium, cobalt, and nickel. Results show heavy reliance on imports exposes India to geopolitical risks and price volatility, while a fragmented supply chain hinders coordination and quality control. Establishing gigafactories is crucial but requires substantial investment. The study recommends enhancing domestic production, securing raw materials through exploration and international partnerships, investing in R&D for advanced technologies and alternative chemistries, and developing a skilled workforce through specialized training. Implementing these strategies will ensure a robust and sustainable battery supply chain, supporting EV market growth and positioning India as a leader in electric mobility. Further research should focus on long-term environmental impacts and the economic implications of a localized supply chain.

Migration and Economic Development: The Role of Migrant Flows in Shaping Turkey’s Emerging Economy and Uncovering Hidden Conflicts and Challenges

This research examines the economic impact of migration on Turkey's emerging economy, with a particular focus on the contributions of migrant remittances, labor market dynamics, and the socio-political challenges associated with large-scale migrant flows. By employing econometric models and field research, the study explores the relationship between remittance inflows and key economic indicators such as GDP growth, employment rates, and poverty reduction. Additionally, the research uncovers hidden conflicts and social tensions that arise from migration, including labor market inequalities and integration challenges faced by both migrants and Turkish workers. The project evaluates government policies, such as the EU-Turkey refugee agreement, and their effects on economic development and social stability. Field research in migrant-receiving communities reveals the complexities of labor competition and the social dynamics created by migrant dependency in sectors such as agriculture and construction. Findings highlight the need for inclusive migration policies that balance the economic benefits of remittances with the social integration challenges faced by migrant populations. This study also advocates for stronger labor protections and regulatory reforms to mitigate tensions and reduce exploitation in low-wage sectors. The research contributes to the broader understanding of migration’s role in shaping Turkey’s economy and provides insights for policymakers seeking to address both the economic and social dimensions of migration.

IRodd (intelligent-road damage detection) for real-time infrastructure preservation in detection, classification, calculation, and visualization

Preserving roads involves regularly evaluating government policy through advanced assessments using vehicles with specialized capabilities and high-resolution scanning technology. However, the cost is often not affordable due to a limited budget. Road surface surveys are highly expected to use low-cost tools and methods capable of being carried out comprehensively. This research aims to create a road damage detection application system by identifying and qualifying precisely the type of damage that occurs using a single CNN to detect objects in real time. Especially for the type of pothole, further analysis is to measure the volume or dimensions of the hole with a LiDAR smartphone. The study area is 38 province’s representative area in Indonesia. This research resulted in the iRodd (intelligent-road damage detection) for detection and classification per type of road damage in real-time object detection. Especially for the type of pothole damage, further analysis is carried out to obtain a damage volume calculation model and 3D visualization. The resulting iRodd model contributes in terms of completion (analyzing the parameters needed to be related to the road damage detection process), accuracy (precision), reliability (the level of reliability has high precision and is still within the limits of cost-effective), correct prediction (four-fifths of all positive objects that should be identified), efficient (object detection models strike a good balance between being able to recognize objects with high precision and being able to capture most objects that would otherwise be detected-high sensitivity), meanwhile, in the calculation of pothole volume, where the precision level is established according to the volume error value, comparing the derived data to the reference data with an average error of 5.35% with an RMSE value of 6.47 mm. The advanced iRodd model with LiDAR smartphone devices can present visualization and precision in efficiently calculating the volume of asphalt damage (potholes).

Towards Sustainable Cloud Computing: Evaluating Government Policies and Environmental Impacts in India.

Towards Sustainable Cloud Computing: Evaluating Government Policies and Environmental Impacts in India.

Analyzing the Role of Social Media Analytics in Evaluating Government Policies: A Case of “Make in India”

Analyzing the Role of Social Media Analytics in Evaluating Government Policies: A Case of “Make in India”

DYNAMICS OF THE RURAL INDIAN ECONOMY: A COMPREHENSIVE STUDY

This research article presents a comprehensive study on the dynamics of the rural Indian economy. With a focus on understanding the key sectors, evaluating government policies, exploring technology's role, and analyzing challenges and opportunities, this study aims to provide insights into the intricacies of rural economic development. Through an in-depth examination of the primary sectors driving the rural economy, including agriculture, livestock, forestry, handicrafts, and rural industries, the research uncovers their economic significance, interdependencies, and growth potential. The assessment of government policies and initiatives sheds light on their impact on income generation, employment opportunities, infrastructure development, and market access in rural areas. the study explores the transformative power of technology and innovation in rural economic development. It investigates successful models and interventions that leverage technology to enhance productivity, value chain integration, and market access in rural sectors. The research also addresses the challenges faced by the rural Indian economy, such as agrarian distress, limited access to finance, inadequate infrastructure, and climate change impacts. By identifying opportunities for sustainable development, such as diversification of rural livelihoods, promotion of entrepreneurship, and strengthening of rural-urban linkages, this study aims to contribute to the advancement of rural economic growth and prosperity.

The economics of the COVID-19 pandemic: economic evaluation of government mitigation and suppression policies, health system innovations, and models of care.

The COVID-19 pandemic has impacted the scope of health economics literature, which will increasingly examine value beyond health care interventions such as government policy and broad health system innovations. The study analyzes economic evaluations and methodologies evaluating government policies suppressing or mitigating transmission and reducing COVID-19, broad health system innovations, and models of care. This can facilitate future economic evaluations and assist government and public health policy decisions during pandemics. The Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) was used. Methodological quality was quantified using the scoring criteria in European Journal of Health Economics, Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 Checklist and the National Institute for Health and Care Excellence's (NICE) Cost Benefit Analysis Checklist. PUBMED, Medline, and Google Scholar were searched from 2020-2021. Cost utility analysis (CUA) and cost benefit analysis (CBA) analyzing mortality, morbidity, quality adjusted life year (QALY) gained, national income loss, and value of production effectively evaluate government policies suppressing or mitigating COVID-19 transmission, disease, and impacting national income loss. The WHO's pandemic economic framework facilitates economic evaluations of social and movement restrictions. Social return on investment (SROI) links benefits to health and broader social improvements. Multi-criteria decision analysis (MCDA) can facilitate vaccine prioritization, equitable health access, and technology evaluation. Social welfare function (SWF) can account for social inequalities and population-wide policy impact. It is a generalization of CBA, and operationally, it is equal to an equity-weighted CBA. It can provide governments with a guideline for achieving the optimal distribution of income, which is vital during pandemics. Economic evaluations of broad health system innovations and care models addressing COVID-19 effectively use cost effectiveness analysis (CEA) that utilize decision trees and Monte Carlo models, and CUAs that effectively utilize decision trees and Markov models, respectively. These methodologies are very instructive for governments, in addition to their current use of CBA and the value of a statistical life analytical tool. CUA and CBA effectively evaluate government policies suppressing or mitigating COVID-19 transmission, disease, and impacts on national income loss. CEA and CUA effectively evaluate broad health system innovations and care models addressing COVID-19. The WHO's framework, SROI, MCDA, and SWF can also facilitate government decision-making during pandemics. The online version contains supplementary material available at 10.1007/s10389-023-01919-z.

Evaluation of the Implementation of the Family Hope Program (PKH) in Poverty Alleviation

Purpose: This research aims to determine the results of implementing PKH in 2023 through evaluating government policies. This research interviewed 12 informants with the criteria of sub-district secretaries, PKH assistants, and PKH recipients. Methodology: The method used is a qualitative method with a purposive sampling technique. Primary data was collected through interviews and face-to-face observations, while secondary data came from online sources, Social Service documents, and BPS. The analysis uses the Miles & Huberman model with data reduction, coding, and triangulation to ensure the reliability and validity of the information. Findings: The findings show that PKH in Lasiana Village has been running well and achieved its goals. The indicators include (1) effectiveness seen from participants maintaining their commitments and obligations; (2) the community receives the responsiveness of the program; (3) efficiency seen from the efficient disbursement process that is already running; (4) sufficiency has not been running well because the assistance received by the community sometimes runs out prematurely. (5) accuracy is appropriate because determining participants goes through many stages. Implication: This research discusses increasing access to quality health education services and improving economic conditions. The limitation of this research was that it was only carried out in one sub-district.

COVID-19, Government Policies and their effects on Latin American Capital Markets

The COVID-19 pandemic has led governments to implement policies that affect households and companies. In this study, we analyze the impacts of government policies and COVID contagion rates on stock market returns for the countries that belong to the Latin America Integrated Market through robust OLS regressions. We find evidence that the daily growth rate of confirmed COVID-19 cases and social distancing measures negatively influence the financial performance of stock indexes, while public awareness campaigns and contact tracking test policies are seen to have had positive effects. These findings are helpful for evaluating government policy impacts and portfolio performances.

Klasifikasi Penduduk Dengan Tingkat Ekonomi Rendah Menggunakan Metode Klasifikasi Naive Bayes

The effort to reduce poverty, it is hoped that the economic growth of a region can be spread evenly. To equalize the economic level of its citizens, local governments provide many opportunities for their citizens to get help or subsidies and even help open businesses so that the welfare of their citizens can be improved. The availability of accurate and sustainable citizens' economic status data is one of the important instruments for evaluating government policies in alleviating poverty by distributing targeted aid. Therefore, this study will conduct a classification based on data from citizens with low economic levels obtained from Pasar Babakan Sub-district, Bogor. The data used in this study is the data of underprivileged residents who are in Pasar Babakan Sub-district Bogor using data mining techniques. The training data are taken from 214 citizens that has a category of underprivileged citizens with attributes used in the classification of income per day, occupation and number of dependents. The test results using the Naive Bayes Classifier method produce 100% accuracy including the excellent category with 100% precision and 100% recall.

The role of government policy and entrepreneurship development programs in micro, small & medium sized enterprises in India: An overview

For the development and growth of the country, the government must actively promote the development of the organisation. Small and medium enterprises (MSMEs) among for-profit companies deserve special attention. SMEs are small investment companies with enormous stakes. The sector contributes over 28% of the GDP and almost 45% to the manufacturing output. The most common organisational model in many countries, the Ministry of Small and Medium Enterprises (MSMEs), is crucial to developing a market economy. It employs almost 111 million people. The sector acts as the instrument of inclusive growth, empowering the most vulnerable and marginalised groups. There are around 6.3 crore MSME units in the country, with over 99% categorised as small units (as per the original definition). The choice depends on many factors, including public attitudes toward entrepreneurs—human structure, Size and role of Current government, level of entrepreneurial activity and prevalence of existing MSMEs. The present study evaluates government policies for MSME and how these companies work under these policies and support. This paper aims to review government policies and SME development in India 2020-21 and measure performance and business engagement. The article used the approach of secondary data with an analytical approach. To fulfil the study’s objectives.

Evaluating Government Policy of Monitoring NGOs in Pakistan

Non profitable organizations have been contributing in the development of state and society for a long time. These are generally praised for their progressive agendas. However, occasionally these have also been blamed for having some hidden agenda. This requires strict monitoring and evaluation of this sector. Different policies have been introduced in the past for this purpose. However, some of them have been found to be working for foreign agendas. Therefore, it is extremely important to comprehend the effectiveness of the monitoring and evaluation policies in Pakistan. This paper is focused on different monitoring and evaluation policies and compared it with the policy of PML (N) government (2013-18) to bring to limelight the strengths and weakness of such policies. The research paper is primarily designed to find out comprehensive study that how the government presently monitored the working of NGOs. The analysis will help the policy makers to evaluate the working of NGOs in an effective way.
 
 Received: 28 October 2020 / Accepted: 5 December 2020 / Published: 17 January 2021

ГЛОБАЛЬНОЕ УПРАВЛЕНИЕ ПАНДЕМИЕЙ COVID-19: УСПЕХ ИЛИ НЕУДАЧА?

The paper summarises the extent and incidence of the Covid-19 pandemic and evaluates government policies in different countries. The consequences of lock-down policy are discussed. The most negatively affected groups of the population are the low-skilled workers and self-employed. Psychological welfare has seriously declined and provision of health services have deteriorated. Population density, age structure and state management strongly influence the spread and containment of the disease. State coordinated economies and social-democratic countries have managed the effects of the disease better than market coordinated economies, though there are important exceptions. A failure of some governments to provide sufficient reserve capacity of healthcare facilities indicates government policy failure. The paper suggests that a more focused policy of social isolation of people susceptible to coronavirus with less stringent lockdown measures would have significantly reduced social costs and increased public health benefits.

The influence of institutional and conductive aspects on entrepreneurial innovation

PurposeThe purpose of this paper is to improve understanding of how different aspects of the national institutional environment may influence the extent of innovative entrepreneurial activities across countries. Several institutional and conductive factors affecting a country’s capacity to support innovative entrepreneurship are explored.Design/methodology/approachInstitutional theory is used to examine the national regulatory, normative, cognitive and conducive aspects that measure a country’s ability to support innovative entrepreneurship. A cross-national institutional profile is constructed to validate an entrepreneurial innovation model. The impacts of country-level national institutions on innovative entrepreneurial activity as measured by Global Entrepreneurship Monitor data are assessed through structural equation modeling.FindingsKnowledge about the influence of specific institutional aspects on innovative entrepreneurship, and hence of institutional structures within and across countries, is enhanced. For new innovative enterprises, conductive and regulatory aspects seem to matter most. All conductive factors have a significant and positive impact on entrepreneurial activity rates.Research limitations/implicationsResults could support policy makers and practitioners in evaluating government policies’ effects on innovative entrepreneurship. Interventions should target both individual attributes and context. Future research could include longitudinal designs to measure the direction of causality.Practical implicationsAspects such as regulatory institutions, and conductive factors such as information communication technology use and technology adoption, are important for innovation entrepreneurship development.Originality/valueThe literature on institutional theory and innovative entrepreneurship is highly limited. This study complements growing interest in empirical analysis of the effects of national institutions on innovative entrepreneurial activities and substantiates previous empirical work.

Barriers and facilitators to evaluation of health policies and programs: Policymaker and researcher perspectives

Our research sought to identify the barriers and facilitators experienced by policymakers and evaluation researchers in the critical early stages of establishing an evaluation of a policy or program. We sought to determine the immediate barriers experienced at the point of initiating or commissioning evaluations and how these relate to broader system factors previously identified in the literature.We undertook 17 semi-structured interviews with a purposive sample of senior policymakers (n=9) and senior evaluation researchers (n=8) in Australia.Six themes were consistently raised by participants: political influence, funding, timeframes, a ‘culture of evaluation’, caution over anticipated results, and skills of policy agency staff. Participants also reflected on the dynamics of policy-researcher relationships including different motivations, physical and conceptual separation of the policy and researcher worlds, intellectual property concerns, and trust.We found that political and system factors act as macro level barriers to good evaluation practice that are manifested as time and funding constraints and contribute to organisational cultures that can come to fear evaluation. These factors then fed into meso and micro level factors. The dynamics of policy-researcher relationship provide a further challenge to evaluating government policies and programs.

The Strategic Use of Human Rights Treaties in Hong Kong’s Cage-Home Crisis: No Way Out?

AbstractUsing a socioeconomic rights framework, this article will evaluate government policy relating to housing welfare in Hong Kong. In particular, it will explore the alarming plight of cage tenants in Hong Kong, a highly marginalized group estimated to be as many as 200,000 in number, who live day to day in cramped, dank dwellings averaging 15 square feet in size. It will argue that current government policies are incompatible with the International Covenant on Economic, Social and Cultural Rights (ICESCR) and the International Covenant on Civil and Political Rights (ICCPR). It will further look at strategies for domesticating these international human rights treaties. In doing so, this article will contribute to the ongoing debate concerning the legal nature of socioeconomic rights.

A Time Series Analysis on the Effects of Deregulation on Online Games: A Case of Social Casino in Korea

Online games including web board games have been known to contribute to fostering entrepreneurship in information technology; a number of big online corporations such as portal sites and mobile messengers have roots in game startups. A lot of tactics and format used to play games is also used to teach entrepreneurship and more. In 2013, the Korean government imposed strict rules to web board games and to the genuine online games framing it with a highly negative social perception. The regulation brought the fall of industry and in early 2016, the Korean government has relieved some of its regulations in attempt to revitalize the industry. The objective of this research is to investigate the outcomes of deregulation on a specific online game field, the web board game industry. According to previous research, government regulation is proven to have high relationship to how the industry and individual consumers form a consumption pattern. Literature shows that the regulations may result in devaluating the industry, followed by a sharp decrease in the market itself. This research provides empirical and quantifiable evidence of the deregulation results using VAR (Vector Auto Regression) and Granger causality test. The results show that the deregulation had no impact in reviving the industry. Using the framework of gambling theory, TAM (Technology Acceptance Model) and consumer perception, the study tries to explain the reasons for such results. More and more policy review research is concentrating in using quantifying methods. By providing an comparison of industry before and after the regulation/deregulation, this research also aligns to provide further evidence and guidance in evaluating government policies using quantifiable measurements.

The United States’ Strategic Interests: The Centrality of East Asia, the Importance of the Pivot and the Risk of Distraction

The article examines the strategic dilemma faced by the United States (U.S.) concerning the conflicting interests in the Middle East and East Asia. The article focuses on analysing U.S. policy towards East Asia within the context of Obama’s Pivot to Asia and the possibility of militarised counter-terrorism in the context of primarily the Islamic State. The article argues that East Asia represents immense strategic value for the U.S., while the Middle East comparatively offers only limited strategic concerns. Thus the article concludes that the U.S. should devote its attention to East Asia, focusing on the successful execution of the pivot, while remaining restrained in its engagement with the Middle East. The methodology used is based on evaluating government policy along two main avenues: is the goal significant enough to be pursued, and is the policy adopted effective in achieving said goal? In the case of East Asia, both the goals are crucial to pursuing and the method adopted, the pivot is effective. In the case of the Middle East, the goals fail to demonstrate the same importance and the method employed demonstrates a highly ineffective approach.

ICT Policies in Developing Countries: An Evaluation with the Extended Design‐Actuality Gaps Framework

AbstractInformation and communication technologies (ICT) are often represented as a factor in global economic growth and social development. Consequently, countries and governments invest large amounts of resources in the ICT sector. However, it is not certain whether the results of these investments necessarily match expectations. In order to investigate this conundrum, this study evaluates government policies for Information Communication Technologies (ICT) growth in a developing country by extending and utilizing the design‐actuality gaps framework. A qualitative analysis of government's ICT policy documents (i.e., design) and interviews with 35 citizens and 54 government officials (i.e., actuality) shows significant design‐actuality gaps. Additional insights are derived from two focus groups involving 11 citizens. The analysis shows that not only there are gaps between policy design and actuality but also the dimensions of design and actuality are different. The causes of these gaps are discussed along with implications for practitioners and a theoretical extension of the design‐actuality gaps framework. This research contributes to the literature on design‐actuality gaps, ICT in developing countries, and government policy evaluation.

Evaluasi Penetapan Kawasan Andalan: Studi Empiris di Kalimantan Selatan 1993-1999

This paper attempts to evaluate government policy to classify a region as a key region (kawasan andalan) with special reference to South Kalimantan province. Using location quotient and logistic regression, we showed that the policy designed and based merely on regional income per capita and key subsector. The policy seems, to ignore the growth of regional income and regional specialisation. Our analysis also suggests that regional classification based on Klassen Typology is a better alternative than that of the ad-hoc “key region”. Key words: kawasan andalan, LQ, logistic regression, Klassen Typology