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This paper aims to examine the impact of COVID-19 on inflation in Indonesia. There are two questions in this study: (1) Is there an impact of COVID-19 on inflation in Indonesia? and (2) whether there are differences in the impact of COVID-19 on regional inflation in Indonesia, considering the different intensities associated with COVID-19.

The estimation technique showing the impact of the COVID-19 pandemic on inflation uses the difference-in-differences (DID) method described by Pischke (2008). The core idea of the estimation above is continuous DID using panel data. No province was affected by COVID-19 before 2020:Q1. Once COVID-19 hits the economy, the effects vary from one district to the other.

The authors find that the severity of the COVID-19 pandemic negatively affects inflation – the more severe the pandemic, the lower the inflation. This finding conforms with several studies suggesting higher demand pressures than supply during the pandemic. Compared with supply-side indicators such as production index, demand-side indicators – such as consumer confidence index and real sales index – fell more sharply.

In the Introduction section, the authors have added a discussion that indeed the COVID-19 pandemic affects inflation through both the demand- and supply-side shocks. While factors driving regional differences in inflation rate are important research and policy questions, the analysis of these factors is outside the scope of this study. The study focuses on the COVID-19 impact on inflation and whether the pandemic disproportionately affects some regions than the others.

This research is important to provide an understanding of the nature of the pandemic on inflation in the context of the Indonesian economy, which is essential to policy formulation, especially for the Central Bank in carrying out the mandate to maintain rupiah stability. This issue is due to the implications of different policy responses between demand- and supply-side shocks.

As a novelty in this study and research gap, the authors use a continuous DID method to account for the varying intensity of COVID-19 across the provinces. In particular, the authors use the number of positive cases of COVID-19 per 1,000 population as opposed to just a binary indicator of before-and-during COVID-19 across provinces.

The purpose of the study is to investigate the impact of implementing anti-dumping duties on imported Australian wine to China in the short- and long-run, respectively.

First, the Difference-in-Differences (DID) method is used in this study to evaluate the short-run causal effect of implementing anti-dumping duties on imported Australian wine to China. Second, a Bayesian ensemble method is used to predict 2023–2025 wine exports from Australia to China. The disparity between the forecasts and counterfactual prediction which assumes no anti-dumping duties represents the accumulated impact of the anti-dumping duties in the long run.

The anti-dumping duties resulted in a significant decline in red and rose, white and sparkling wine exports to China by 92.59%, 99.06% and 90.06%, respectively, in 2021. In the long run, wine exports to China are projected to continue this downward trend, with an average annual growth rate of −21.92%, −38.90% and −9.54% for the three types of wine, respectively. In contrast, the counterfactual prediction indicates an increase of 3.20%, 20.37% and 4.55% for the respective categories. Consequently, the policy intervention is expected to result in a decrease of 96.11%, 93.15% and 84.11% in red and rose, white and sparkling wine exports to China from 2021 to 2025.

The originality of this study lies in the creation of an economic paradigm for assessing policy impacts within the realm of wine economics. Methodologically, it also represents the pioneering application of the DID and Bayesian ensemble forecasting methods within the field of wine economics.

This study aims to examine core professional competencies required by organizational learning (OL) field, using the main knowledge, skills and abilities (KSA) theoretical framework for job candidates in Israel.

An analysis was conducted on 100 job postings from two online platforms using content analysis techniques. The job offers were evaluated according to criteria established by prior research conducted in the USA.

The findings indicate that job announcements appear for three main professions in the field of learning in organizations in Israel: learning designer, learning developer and instructional designer. Most of the offers are for full-time jobs, without requiring a relevant academic degree or previous experience. In comparison to the US employment market, in Israel the demand for OL professionals necessitates communication abilities in English, macro development skills, knowing how to manage professional training and mastery of learning through innovative technology such as augmented reality/virtual reality. The findings also indicated which competencies are most recently required in the OL branch in Israel and the significant differences in KSA necessary for OL professionals in each of the three identified professions.

The study highlighted critical elements of the OL professional field and has implications for OL professionals seeking employment and human resources (HR) recruiters seeking them. Job seekers need to know the current job market requirements in the OL field, and HR recruiters need to know what is happening in the current job market. This can be done by following updated job offers in the OL field and responding quickly to changes. The findings also have implications for the educational/academic aspect of the OL teachers in various settings and inform them to refine the content of their syllabus and course content in accordance with the current requirements of the job market in the field of OL.

The study is based on the KSA theoretical framework and analysis of the OL US job market according to Wang et al.’s (2021) work. This study presents the Israel OL job market and discuss the authors’ critical view on Wang et al.’s work.

This paper aims to study the preferences of the supply chain (SC) members on various power structures under demand information asymmetry considering competing retailers.

A two-level SC with one manufacturer and two retailers is designed. The retailers are in Bertrand competition. The manufacturer who holds the confidential demand information chooses the appropriate information sharing (IS) format. Three IS formats are provided, i.e. no IS (the manufacturer never shares with the retailers), partial IS (the manufacturer shares with one retailer), full IS (the manufacturer shares with all retailers). In addition, the authors model two power structures based on the decision sequences in the SC, i.e. retailers or manufacturer-dominant SC. The authors characterize the equilibrium solutions and payoffs and then investigate the members’ preferences for IS formats.

It is shown that in retailers (manufacturer)-dominant SC, the retailers prefer full (no) IS, but the manufacturer prefers no (full) IS. Moreover, the authors analyze the members’ preferences on power structures under demand information asymmetry, which has a relationship with the degrees of demand uncertainty and competition intensity.

The analysis regarding the preferences of the SC members on power structure under demand information asymmetry provides valuable managerial insights to enhance cooperation and achieve a win-win result.

The residential buildings sector has a high priority in the climate change adaptation process due to significant CO₂ emissions, high energy consumption and negative environmental impacts. The article investigates how, conversely speaking, the residential buildings will be affected by climate change, and how to improve existing structures and support long-term decisions.

The climate dataset was created using the scenarios determined by the Intergovernmental Panel on Climate Change (IPCC), and this was used in the study. Different building envelope and Heating, Ventilating and Air Conditioning (HVAC) systems scenarios have been developed and simulated. Then, the best scenario was determined with comparative results, and recommendations were developed.

The findings reveal that future temperature-increase will significantly impact buildings' cooling and heating energy use. As the outdoor air temperatures increase due to climate change, the heating loads of the buildings decrease, and the cooling loads increase significantly. While the heating energy consumption of the house was calculated at 170.85 kWh/m² in 2020, this value shall decrease significantly to 115.01 kWh/m² in 2080. On the other hand, the cooling energy doubled between 2020 and 2080 and reached 106.95 kWh/m² from 53.14 kWh/m² measured in 2020.

Single-family houses constitute a significant proportion of the building stock. An in-depth analysis of such a building type is necessary to cope with the devastating consequences of climate change. The study developed and scrutinised energy performance improvement scenarios to define the climate change adaptation process' impact and proper procedure. The study is trying to create a strategy to increase the climate resistance capabilities of buildings and fill the gaps in this regard.

We investigate the extended service strategy choices of competing manufacturers and examine their impact on the retail platform.

We construct a supply chain model with a retail platform as the leader and manufacturers as the followers. Manufacturers face differential consumer preferences on the same agency retail platform, and they can sell a bundled extended service product and sell a separate product without any extended service.

The sale of extended warranty services on the retail platform leads to lower pricing of the manufacturers' products and changes in the product market structure in response to differences in consumer preferences. The retailing platform tends to provide an extended warranty conditionally. The sale of extended warranty services on a retail platform would be detrimental to the interests of the manufacturer who sells products with extended warranty services and in favor of the manufacturer who sells products without them.

The equilibrium results of the retail platform’s non-sales and sales of extended warranty services for the no-extended warranty product under the same commission rate and differential commission rate models are discussed, and the product structure of the market is investigated, respectively.

Indonesia subscribes to rights-based principles of family planning. However, a chasm between principles and practice has long been noted on a global basis, and progress has not been well-documented. This paper aims to assess the extent to which the Indonesian national family planning program has evolved in a manner that is consistent with rights-based principles.

The primary source of data was five Indonesian Demographic Health Surveys undertaken from 1997 to 2017. The analyses were organized around three major categories of family planning-related human rights. Trend analysis and logistic regression were used in analyzing the data.

Indonesian women have considerable autonomy in family planning decision, reporting that family planning decisions were mainly made by themselves or jointly with their spouse. Although contraceptive method awareness and demand for family planning are high, Indonesia fares poorly with regard to informed choice in contraceptive method selection. Access to family planning services is comparatively high as judged by contraceptive prevalence, family planning demand satisfaction and unmet need for family planning. However, significant geographic and socioeconomic inequity were observed on many indicators, with eastern Indonesian provinces consistently lagging behind.

This paper focuses on married couple, as Indonesia has a restrictive policy to limiting access and information of family planning for other groups, unmarried youth in particular.

This paper makes an important contribution to document how effectively the prohuman rights policy orientation toward family planning has been translated into services.

Omnichannel sales have provided new impetus for the development of catering merchants. The authors thus focus on how catering merchants should manage capacities at the ordering, production and delivery stages to meet customers’ needs in different channels under third-party platform delivery and merchant self-delivery. This is of great significance for the development of the omnichannel catering industry.

This paper formulates the capacity decisions of omnichannel catering merchants under the third-party platform delivery and merchant self-delivery mode. The authors mainly use queuing theory to analyze the queuing behavior of online and offline customers, and the impact of waiting time on customer shopping behavior. In addition, the authors also characterize the merchant’s capacity by the rate in queuing model.

The authors find that capacities at ordering stage and food production stage are composed of base capacities and safety capacities, but the delivery capacities only have the latter. And in the self-delivery mode, merchants can develop higher safety capacities by charging delivery fees. The authors prove that regardless of the delivery mode, omnichannel sales can bring higher profits to merchants by integrating demand.

The authors focus on analyzing the capacity management of omnichannel catering merchants at the ordering, production and delivery stages. And the authors also add the delivery process into the omnichannel for analysis, so as to solve the problem of capacity decision-making under different delivery modes. The management of delivery capacity and its impact on other stages’ capacities are not covered in other literature studies, which is one of the main innovations of this paper.

This study aims to introduce a dynamic perspective of tourism resilience by analyzing tourism demand in Spain during the 2020 and 2021 summers in the context of the COVID-19 pandemic.

This study uses regression and Lasso-type methods to demonstrate a great explanatory capacity of past determinants to explain the tourism demand of the Spanish provinces.

Results show how the previous specialization of the domestic market, the density and the geographic location related to the type of product are behind the bulk of the territorial differences in demand resilience, although in 2021 there has been a process of adaptation to the new context.

This study contributes to the theoretical understanding of tourist behavior and tourism destination management by introducing the concept of resilience dynamics of destinations.

The results are useful, on the one hand, for tourist destinations to understand the different stages of recovery from a shock, and on the other hand, to go in deep in consumer behavior after a shock.

These findings represent a paradigm shift in the static conception of resilience in tourism.

本文通过分析 2020 年和 2021 年夏季 COVID-19 大流行背景下西班牙的旅游需求, 介绍了旅游业复原力的动态视角。

我们使用回归和套索型方法来证明过去的决定因素解释西班牙各省旅游需求的能力。

我们的结果表明, 尽管 2021 年出现了一个适应新环境的过程, 但之前国内市场的专业化、密度以及提供的产品的位置相关类型是造成需求弹性的大部分地域差异的原因。

这些发现代表了旅游业复原力静态概念的范式转变。

本研究通过引入目的地特定弹性动态的概念, 有助于对游客行为和旅游目的地管理的理论理解。

一方面, 研究结果有助于旅游目的地了解从冲击中恢复的不同阶段, 另一方面有助于探索冲击后的消费者行为。

Este artículo presenta una perspectiva dinámica sobre la resiliencia del turismo mediante el análisis de la demanda turística en España durante los veranos de 2020 y 2021 en el contexto de la pandemia de COVID-19.

Utilizamos métodos de regresión y tipo Lasso para demostrar la capacidad de los determinantes pasados para explicar la demanda turística en las provincias españolas.

Nuestros resultados muestran cómo la especialización previa del mercado interno, la densidad y el tipo de producto ofrecido relacionado con la ubicación están detrás del grueso de las diferencias territoriales en la resiliencia de la demanda, aunque en 2021 hubo un proceso de adaptación al nuevo contexto.

Estos hallazgos representan un cambio de paradigma en la concepción estática de la resiliencia en el turismo.

Este estudio contribuye a la comprensión teórica de los comportamientos turísticos y la gestión de los destinos turísticos al introducir el concepto de dinámica de resiliencia específica del destino.

Por un lado, los resultados son útiles para que los destinos turísticos comprendan las diferentes etapas de recuperación de un shock y, por otro lado, para explorar el comportamiento del consumidor después de un shock.

Graphical abstract: The evaluation of the vulnerability of tourism.

The present study aimed to examine the effect of received remittance inflows on the price level ratio of the purchasing power parity conversion factor to the market exchange rate in 36 developed and developing countries from 2004 to 2020.

The panel data conducted a comparative analysis and used panel least squares, regression with Driscoll-Kraay standard errors of fixed effect, random effect, feasible generalised least squares and maximum likelihood robust least squares to overcome the heterogeneity issue. Furthermore, the two-step difference generalised method of moments to overcome the endogeneity issue. Diagnostic tests were used to increase robustness.

In the studied countries, there was a statistically significant negative relationship between received remittance inflows and the price-level ratio of the purchasing power parity conversion factor to the market exchange rate. This relationship explains why remittance flows depreciate the real exchange rate. The study’s results also indicated that attracting investments can improve the quality of institutions despite high tax rates, leading to low tax revenue.

The current study findings enrich the understanding of policies of how governments should minimise tariff rates on capital imports and introduce export-oriented incentive programmes. The study also revealed that Dutch disease can occur due to differences in the demand structure and manufacturing development policy.