Financial shocks and inflation dynamics

We assess the effects of financial shocks on inflation, and to what extent financial shocks can account for the “missing disinflation” during the Great Recession. We apply a Bayesian vector autoregressive model to US data and identify financial shocks through a combination of narrative and short-run sign restrictions. Our main finding is that contractionary financial shocks temporarily increase inflation. This result withstands a large battery of robustness checks. Negative financial shocks help therefore to explain why inflation did not drop more sharply in the aftermath of the financial crisis. Our analysis suggests that higher borrowing costs after negative financial shocks can account for the modest decrease in inflation after the financial crisis. A policy implication is that financial shocks act as supply-type shocks, moving output and inflation in opposite directions, thereby worsening the trade-off for a central bank with a dual mandate.

An analysis of to deliver cheap nutritious products: National Fish Barn Program

There is a program called the national fish barn (Lumbung Ikan Nasional), which aims at delivering fish to consumers from the the country’s most productive fishing areas, namely Maluku. The program has focused on the preparation of integrated ports and concerns aspects of the readiness of the participating districts and cities. This paper was based on a research conducted in January – March 2021, with an objective to assess their readiness indexes, covering five related dimensions: ecological, economic, social, institutional, technological. Analytical tools used in this study were multi dimentional scaling and prospective analysis. The multidimensional scaling (MDS) data was obtained through mail surveys involving fisheries service officials in 11 districts and cities. Applyng the same technique, data collection for prospective analysis involving local university scientests. The results of MDS analysis showed that 11 districts and cities demonstrated readiness indexes categorized as ‘fairly prepared to very prepared’ for the ecological, economic and social dimensions. Challenges are found in the institutional and infrastructure dimensions, where there are a number of districts and cities indexed ‘less prepared’ or even ‘unprepared’. The research concluded with the result of prospective analysis, which then become policy implication of this research; in this case, it is recommended that a number of attributes should receive attention to improve the readiness indexes of participating districts and cities. These attributes are: ‘market opportunity’, ‘business competitiveness’, ‘participation of entrepreneurs’, ‘financial institutions’, ‘information infrastructure’

An Analysis of the Scope Variations in Intellectual Capital Disclosure: Perspectives of Indonesian State Universities

Research aims: This study aims to examine and analyze the differences in intellectual capital disclosure between Indonesian state universities.Design/Methodology/Approach: The data comprises all state universities listed in 4ICU (4 International Colleges University) in 2020. To analyze the data, the researchers used content analysis and the independent sample t-test. This study used three indicators (location, number of applicants, and number of study programs) to analyze the differences in intellectual capital disclosure between state universities in Indonesia.Research findings: The study results show scope variation in intellectual capital disclosure based on location and number of applicants. However, based on the number of study programs, no variation was found.Theoretical contribution/Originality: The scope variation in intellectual capital disclosure between Indonesian state universities, especially regarding the indicators such as study programs and locations, is a rare topic of study. It is compelling and requires further study.Practitioner/Policy implication: This study is potentially relevant to academicians, researchers, and stakeholders. By analyzing the scope variation in intellectual capital disclosure between Indonesian state universities using three indicators, this study provides insight on the importance of delivering information about universities to the public to improve credibility and attract more applicants.

The practice and determining factors of voluntary graphics disclosure in Local Government Financial Statements in Indonesia

Research aim: This study aims to measure the extent and the determinants of voluntary graphics disclosure in Laporan Keuangan Pemerintah Daerah (LKPD) or Local Government Financial Statements in Indonesia. Design/ Methodology/ Approach: This study used 197 audited LKPD in Indonesia, comprising 155 regency governments and 32 district governments. The financial statements of these 197 local governments were examined to measure the extent of voluntary graphics disclosure and investigate the potential determinants of voluntary graphics disclosure. This study used multiple regression analysis to examine the determinants (performance, level of dependency, location, education background, and competency) of voluntary graphics disclosures. Research findings: The results indicate a low extent of voluntary graphics disclosure in the LKPD in Indonesia. The average voluntary graphics disclosure rate is 44.88%, demonstrating a lack of usage of voluntary graphics disclosure. The results also indicate that only performance has an insignificant effect on the extent of voluntary graphics disclosure. Practitioner/ Policy implication: The findings regarding voluntary graphics disclosure in LKPD should be of concern to regulatory authorities and standard setters in Indonesia. Research limitation: This study focuses on measuring the extent and the determinants of voluntary graphics disclosure practices among 197 local governments in Indonesia. Hence, the sample of this study is limited to the local governments employing graphics in providing information in their financial statements for the year 2015.

Women Attribute and Household Level Factor on Women's Empowerment

<p>Empowerment is an important strategy in increasing the role and opportunities of women in improving their economy and is an effort to increase and actualize their potential so that they are more able to be independent and work, and are more appreciated. This study aims to analyze the probability of empowering women in the songket craft business, testing and analyzing the variable women attribute and household level factor on women's empowerment . Tests are carried out using binary logistic regression . The results showed that the variables of age, education, and work experience had a significant effect on women's empowerment. The policy implication of the results of this study is that there needs to be more serious attention and involvement from the government and other institutions in coaching women songket craftsmen, and improving the quality of women through various activities to empower them through songket business activities.</p>

HOW HAS THE CORONAVIRUS OUTBREAK AFFECTED ECONOMIC POVERTY IN DIFFERENT ASIAN REGIONS?

It is widely believed that the global economy is experiencing unprecedented challenges by the Covid-19. The main purpose of this research is to explore how the Covid-19 outbreak affected poverty in different Asian regions classified by the United Nations geoscheme, namely South Asia, Southeastern Asia, Central Asia, East Asia and Western Asia. To estimate the coefficients of variables, the panel data framework based on quarterly data over 2010Q1–2020Q2 is employed. Results revealed that the Covid-19 pandemic is a serious challenge for poverty in these regions. The impacts of the pandemic on poverty are smaller for larger or developed economies in Asia than smaller or less-developed economies. Regulating and making a timeline for managing post-coronavirus period is a major policy implication. Another policy implication is that due to the similar findings for Asian countries, they can exchange experiences in controlling the pandemic impacts.