An Automated Geometric Appraisal Model

The idea of the circular economy is gaining steam in academia through the green economics of human resources policies in Asia. A high performance model delivers superior outcomes but does not deter praiseworthy professors from biased human interference. Using the computerized-based geometric performance base incentive model (CGPBI) is particularly beneficial in encouraging faculty who have achieved superior outcomes in all areas of science, academia, and other contributions. To fill this gap, the author proposed a geometric hybrid reward policy model that includes a number of fictitious variables such as topic tolerance, the effects of subject matter, and the average outcome across all subjects. This model uses Python to construct a standardized framework to gather data on the success of faculty. It provides a robust indication of comparative success and motivates workers to achieve more transparent performance outcomes. The author proposes the use of a multi-source assessment (MSA) to evaluate the faculty's annual results.

Model Uncertainty and Financial Frictions: Implications for Optimal Monetary Policy

The last decades proved that policymaking without considering uncertainty is impracticable. In an environment of uncertainty, policymakers have doubts about the policy models they routinely use. This paper focuses specifically on the situation where uncertainty on the financial side of the economy leads to misspecification in the policy model. We describe a coherent strategy for policymakers who are averse to model misspecification and analyze optimal policy design in the face of Knightian uncertainty. To do so, we augment a financial dynamic stochastic general equilibrium model with model misspecification in a simple minimax framework where the central bank plays a zero-sum game versus a hypothetical evil agent. The policy is tailored to insure against the worst-case outcomes. We show that model ambiguity on the financial side requires a passive monetary policy stance. However, if the uncertainty originates from the supply side of the economy, an aggressive response of interest rate is required. We also show the impact of an additional macroprudential tool on the dynamics of the economy.

THE POLICY MODEL OF DIGITAL-BASED MICRO-BUSINESS ASSISTANCE FOR ECONOMIC RECOVERY DURING THE PANDEMIC

Micro-businesses have an essential role in driving an economic revival in Indonesia. However, they are particularly vulnerable during the pandemic. The COVID-19 pandemic has significantly impacted the long-term viability of micro, small, and medium-sized enterprises (MSMEs) in the financing, production, distribution, and market demand. This paper argues that an assistance policy model for micro-businesses accelerating the economy during a pandemic is needed. It also raises the question of how government policies in developing micro-businesses. The library method, which relied on secondary data, was used to conduct the research. The result suggests that the ideal assistance model policy for MSMEs in accelerating the regional economy is by using platform-based digital technology so that the flexibility of purchasing raw materials to sales can be integrated into one and reach all consumers around the world. Government policies in developing MSMEs in the new normal era include launching the National Economic Recovery Program, as mandated by Government Regulation Number 23 of 2020, implementing stimulus programs for MSMEs such as interest subsidies and restructuring.

Implementation of Data Collection Policy and Tax Information on Directorate General of Taxes

The Directorate General of Taxation has the authority to collect data and information related to taxation from agencies, institutions, associations, and other parties (ILAP) through Government Regulation No. 31 of 2012. Data and information collected from the ILAP, including transaction, identity, licensing, and non-transactional data, are used to build tax databases and explore potential taxation. This study aims to analyze the implementation of data and information collected in the context of taxation and investigate the factors that support and inhibit the implementation by using the variable implementation of the hybrid policy model. This work is qualitative research with a post-positivist approach. Data collection was done by conducting in-depth interviews and literature reviews. Data analysis was carried out through data reduction, presentation, conclusions, and verification. The study showed that the implementation of data collection and information related to taxation has helped the Directorate General of Taxation build a tax database and taxpayer profile. However, there are still obstacles, such as the unavailability of an information system to monitor data use and barriers in incomplete data received. The inhibiting factors affecting implementation are the non-target setting of policy objectives and standards, lack of resources, and inadequate communication and coordination. The factors that support the implementation of this policy are the high motivation of policy implementers, the active role of policy implementers, and the adaptability of implementers.

Learning Policy Model for Vocational Higher Education after the Covid-19 Pandemic

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis model kebijakan pembelajaran pada pendidikan tinggi vokasi pasca pandemi Covid-19. Tantangan atas kebijakan pembelajaran ke depan harus mampu mengadaptasi kebiasaan baru dalam proses pembelajaran pendidikan tinggi vokasi yang khas dengan teknologi terapan yang berbasis skill dan kompetensi dengan memprioritaskan kesehatan dan keselamatan, khususnya bagi sivitas akademika. Desain penelitian ini menggunakan pendekatan kualitatif melalui metode analisis konten kebijakan (content policy analysis). Hasil penelitian ini menunjukkan bahwa analisis kebijakan existing pembelajaran pada Program Pendidikan Vokasi Universitas Brawijaya pada masa pandemi dan transisi (penyiapan) pasca pandemi dapat dikategorikan dengan pendekatan model kebijakan inkremental. Model kebijakan pembelajaran di Program Pendidikan Vokasi Universitas Brawijaya dalam bentuk pembelajaran teori, praktik dan magang didapati bahwa dinamika produk kebijakan baik tataran makro, messo dan mikro yang dibuat secara incremental. Hal ini menunjukkan hasil yang acapkali memadai dalam konteks keterbatasan sumberdaya namun akan terjadi perubahan yang cepat pula manakala didadapati situasi dan kondisi yang menutut perubahan. Sebagai konsekuensi bahwa pembelajaran dihadapkan pada kualitas yang yang kurang optimal. Dalam perspektif inkremental, perubahan dalam rangka adaptasi masa pandemi menghadapi ketidaksiapan dalam peralihan pembelajaran digital dan jarak jauh. Penelitian ini merekomendasikan adanya model kebijakan pembelajaran pendidikan tinggi vokasi berdimensi holistik dan demokratis, yang salah satunya dengan menggunakan pendekatan model kebijakan deliberatif (kolaboratif).

Beyond the Duality of Normativity and Pragmatism

One of the EU’s key foreign policy objectives is to promote the values enshrined in its treaties, such as democracy, the rule of law and human rights. The EU’s self-conception of being a “rule maker” rather than a “rule taker” in international relations, however, is increasingly contested both by internal (e.g., democratic backsliding or a general tendency towards nationalist politics) as well as external challenges (e.g., the return of bilateralism or the rise of new actors). China’s Belt and Road Initiative (bri) is often understood as the most serious opposition on the external side to the EU’s model of international cooperation and global governance, in that it promotes a pragmatic instead of a norm-based approach, at least at first glance. The Chinese foreign policy model that the bri reflects, explicitly favours open membership, flexibility and economic gains over multilateral institutions and norm-based action. By drawing on original interviews and analysing central policy documents, this article shows how the juxtaposition of normativity and pragmatism has shaped the political and academic discourse on the EU’s foreign policy and idea of global governance. It argues that this duality of normativity versus pragmatism is misleading because it overlooks the fact that the EU and China both (a) constitute the framework for a certain practice and (b) are rooted in practice. Drawing on Kagan’s cultural thesis of foreign policy, it questions the real meaning of this juxtaposition and applies a practice-based reading to the EU’s and China’s modes of foreign policy making. The article further shows that scrutinising foreign policy through the prism of practice can provide a more context-sensitive and encompassing understanding of how the EU and China construct their foreign policies as well as of possible conflicts that arise from them.

Does the use of a big data variable improve monetary policy estimates? Evidence from Mexico

We analyse the performance improvement on a monetary policy model of introducing non-conventional market attention (NCMA) indices generated using big data. To address this aim, we extracted top keywords by text mining Banco de Mexico’s minutes. Then, we used Google search information according to the top keywords and related queries to generate NCMA indices. Finally, we introduce as covariates the NCMA indices into a bivariate probit model of monetary policy and contrast several specifications to examine the improvement in the model estimates. Our results show evidence of the statistical significance of the NCMA indices where the expanded model performed better than models only including conventional economic and financial variables.

Coherent Dialog Generation with Query Graph

Learning to generate coherent and informative dialogs is an enduring challenge for open-domain conversation generation. Previous work leverage knowledge graph or documents to facilitate informative dialog generation, with little attention on dialog coherence. In this article, to enhance multi-turn open-domain dialog coherence, we propose to leverage a new knowledge source, web search session data, to facilitate hierarchical knowledge sequence planning, which determines a sketch of a multi-turn dialog. Specifically, we formulate knowledge sequence planning or dialog policy learning as a graph grounded Reinforcement Learning (RL) problem. To this end, we first build a two-level query graph with queries as utterance-level vertices and their topics (entities in queries) as topic-level vertices. We then present a two-level dialog policy model that plans a high-level topic sequence and a low-level query sequence over the query graph to guide a knowledge aware response generator. In particular, to foster forward-looking knowledge planning decisions for better dialog coherence, we devise a heterogeneous graph neural network to incorporate neighbouring vertex information, or possible future RL action information, into each vertex (as an RL action) representation. Experiment results on two benchmark dialog datasets demonstrate that our framework can outperform strong baselines in terms of dialog coherence, informativeness, and engagingness.

Multipolicy Robot-Following Model Based on Reinforcement Learning

We propose in this paper a new approach to solve the decision problem of robot-following. Different from the existing single policy model, we propose a multipolicy model, which can change the following policy in time according to the scene. The value of this paper is to obtain a multipolicy robot-following model by the self-learning method, which is used to improve the safety, efficiency, and stability of robot-following in the complex environments. Empirical investigation on a number of datasets reveals that overall, the proposed approach tends to have superior out-of-sample performance when compared to alternative robot-following decision methods. The performance of the model has been improved by about 2 times in situations where there are few obstacles and about 6 times in situations where there are lots of obstacles.

THE INSTITUTIONAL POLICY MODEL OF WALI NANGGROE FOR COMMUNITY RESILIENCEPOST- CONFLICT IN ACEH

The Wali Nanggroe Institution, which functions as an adhesive media for the Acehnese people politically, is still considered unable to implement the Helsinky MoU. Although there have been several studies of political dynamics in Aceh after Helsinky, there have not been any studies that have explored the implementation of policies regarding the Wali Nanggroe Institution in Aceh. Although a memorandum of understanding was signed between the Government of the Republic of Indonesia and the Mardeka Aceh Movement (Independence of Aceh), the implementation of the MoU was not yet complete. The lack of attention of researchers about the implementation of the Wali Nanggroe policy because there are many parties who are unsure about the existence of the institution. This study is an academic response in order to find scientific answers to the presence of the Wali Nanggroe Institution which is formulated in the form of three research questions, namely How is the implementation of Qanun Number 9 of 2013 concerning the Wali Nanggroe Institution, what are obstacles and supportive factors of policy implementation - policy of the Wali Nanggroe Institution Qanun and What is the Wali Nanggroe Institution's Policy Implementation Model. The author combines qualitative data of 30 informants to find the cases as well as conflict resolution models in Aceh. The quantitative data support answers that are in accordance with the demands of research questions. The results of the study show that the Wali Nanggroe Institute was born after the Helsinki MoU to resolve the Aceh conflict that was legally recognized by the State to maintain the integrity of peace, it has the right to immunity. Qanun is influenced by aspects of policy content. It unites the Aceh political leaders who are conflicting in preparing budgets in the Aceh Parliament.Qanun alsohas the power to regulate upper house and functional assemblies. The implementation of qanun has been running since the issuance of Law Number 11 of 2006 concerning the Government of Aceh (UUPA). Legal basis for the birth of the Nanggroe UUPA institution Article 96 (1) The Wali Nanggroe Institution is an indigenous leadership as an independent unifying community, not a political and government institution in the Province of Nanggroe Aceh Darussalam. Therefore, the author concludes that the policy implementation of the WaliNanggroe Institution in Aceh is a new approach. The Government of Aceh, the Government of Indonesia and countries experiencing almost the same conflict model can use the results of this study to encourage conflict resolution through a permanent political settlement.