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Recognizing that crowding in a restaurant waiting area forms a first impression of service and sets service expectations, the purpose of this study is to investigate the impact of crowding in the effective control of the waiting environment. The study seeks to examine the impact of crowding on customers' emotions and approach‐avoidance responses and to examine the mediating role of emotion and the moderating role of desired privacy in the relationship between crowding and approach‐avoidance responses.

Using real‐scale, interactive virtual reality (VR) technology that allows high‐fidelity representations of real environments, the authors created a navigable, photo‐realistic three‐dimensional model of a restaurant waiting area. Through an experimental study which manipulated crowding levels in the VR restaurant, they surveyed the subjects' responses toward crowding conditions.

The study found significant effects of crowding on emotions including arousal and dominance, but not pleasure, and on approach‐avoidance responses. The impact of crowding on approach‐avoidance responses was more direct than indirect, without having emotion as a mediator. It was also found that the desire for privacy as a psychological trait moderated the relationship between crowding and affiliation.

The findings of this study offer restaurant managers insights toward the effective management of the pre‐process service environment during the waiting state that minimizes the negative consequences of waiting/crowding. This study provides three courses of management actions that can make unavoidable crowding in the restaurant waiting situation more enjoyable and comfortable.

By using VR simulation, this study adds a new approach for crowding studies. Theoretically, this study broadened the scope of crowding studies by adding a potential mediating variable, emotions, and a moderating variable, desired privacy, in examining the relationship between crowding and approach‐avoidance responses. Also, by focusing on a restaurant waiting area, the authors were able to explore the pre‐process service expectations.

Our study aims to evaluate the impact of infrastructure and public investment on private investment in machinery and equipment in Brazil from 1947 to 2017. The contribution of our article to the existing literature lies in providing a more comprehensive understanding of the presence or absence of the crowding effect in the Brazilian economy by leveraging an extensive historical database. Our central argument posits that the recent decline in private capital accumulation over the last few decades can be attributed to shifts in economic policies – moving from a developmentalist orientation to nondevelopmental guidance since the early 1990s, which is reflected in the diminished levels of public investment and infrastructure since the 1980s.

We conducted a series of econometric regressions utilizing the autoregressive distributed lag (ARDL) model as our chosen econometric methodology.

Employing two different variables to measure public investment and infrastructure, our results – robust across various specifications – have substantiated the existence of a crowding-in effect in Brazil over the examined period. Thus, we have empirical evidence indicating that the state has influenced private capital accumulation in the Brazilian economy over the past decades.

Our article contributes to the existing literature by offering a more comprehensive understanding of the crowding effect in the Brazilian economy, utilizing an extensive historical database.

Residential crowding and underlying causes of crowding have been changing across the globe over time. The aim of this paper is to examine the dynamics of housing consumption and residential crowding in Hong Kong.

While the two‐step Engle‐Granger co‐integration approach based on an error correction model (ECM) is used to test for long‐run relation and short‐run dynamics of housing consumption, the study also uses a multivariate regression model to analyze the factors affecting residential crowding. Along with other variables in previous literature, the study introduces a new institutional factor, i.e. land supply, into the model that analyzes these two issues over a time span of 25 years.

The study's results suggest that many households in Hong Kong still have inadequate housing, and residential overcrowding is a serious issue. Coupled with market forces (e.g. income, housing price, household size), the new land supply factor noticeably has exerted significant influence on the two subject issues under investigation.

The paper provides policy implications that to address such deficiencies, the government should change its current land supply policy. A policy shift is recommended away from its “high‐land price” policy towards comprehensive developments in outer urban areas. This institutional change should help improve housing consumption in the territory overall.

This study adds knowledge to previous works in analyzing residential crowding and its underlying causes over the years, rather than in a particular point in time. It is also the first of its kind in Hong Kong.

This study aims to determine how and through what mechanisms the outward foreign direct investment (OFDI) promotion effect of the Belt and Road initiative (BRI-OFDI) affects domestic investment. It is motivated by the context that China is fostering a new development pattern, as well as by the impetus from the Belt and Road initiative for the new pattern.

Drawing on data of Chinese-listed companies, this study uses a difference-in-difference method to explore the effect of the BRI-OFDI on domestic investment and a mediation model to illustrate the mechanisms.

The BRI-OFDI has a significantly positive effect on domestic investment, meaning that the Belt and Road initiative's OFDI promotion effect crowds in domestic investment. The results are heterogeneous: the crowding-in effect mainly exists in non-state-owned and technology-intensive enterprises, while a crowding-out effect is seen in state-owned and labor-intensive enterprises. The easing of corporate financing constraints and the expansion of market demand are two important mechanisms.

This study uses the Belt and Road initiative as an exogenous shock to investigate the impact of the initiative-induced OFDI promotion effect on domestic investment. It addresses the potential endogeneity issue confronting the studies on the relationship between OFDI and domestic investment in the literature. The authors focus on the possible spillover effects of the Belt and Road initiative discussing the impact of the BRI-OFDI on domestic investment from the micro-firm perspective. It offers a new perspective to objectively assess the initiative's policy effect.

The crowding-out and crowding-in effects have been at the core of arguments among economists regarding the influence of government spending on private investment. This study aims to examine the crowding-out (or -in) effect of public spending on private investment in the transition economy of Kyrgyzstan.

The empirical model is an autoregressive distributed lag (ARDL) and the vector autoregression approach (VAR). Monthly data from 2005 to 2013 of the private investment, government expenditures, remittances from abroad and broad money data were used in the empirical analysis.

The authors found that an increase in government purchases leads to rise in private investment. More precisely, the public spending crowds-in private investment at the speed with 2.06 months. On the other hand, despite the fact that remittances to GDP ratio has reached to almost 30 per cent, there is no any statistically significant effect between these variables. On the contrary, it was revealed that the broad money has statistically significant, affirmative effect on private investment. Furthermore, findings of the VAR model support the results of ARDL. The variance decomposition demonstrates that private investment shock accounts for 58.16 per cent in government expenditures, 11 per cent in broad money and 5 per cent in remittances.

The results of the study allow policymakers to demonstrate that the growth of national economy of the Kyrgyz Republic may be encouraged by expanding public investment with external source assistance such as grants and international loans. Accordingly, efficient use of those external funds is one of the suggested ways for economic development. Nevertheless, expansionary monetary and fiscal policy may be beneficial for economic growth in Kyrgyzstan.

The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out or crowding-in effect of credit supply to government on credit supply to the private sector.

The study used data from 43 countries during the 1980–2019 period. The study employed the Pearson correlation methodology to analyze the data.

There is a significant positive correlation between credit supply to government and credit supply to the private sector. There is also a significant positive relationship between credit supply to government and credit supply to the private sector, implying a crowding-in effect of government borrowing on private sector borrowing. The positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the period before the Great Recession, while the positive correlation is weaker and less significant during the Great Recession, and the correlation further weakens after the Great Recession. The regional analyses show that the positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the African region than in the Asian region and the region of the Americas.

There is no evidence on the correlation between credit supply to government and credit supply to the private sector during the Great Recession.

The overall aim of this research is to propose a research incentive framework for academic staff members at the South African universities of technology (UoTs).

An exploratory case study methodology was applied, while a questionnaire was used to (1) identify the factors that stimulated staff members' research activities; (2) assess what was considered an appropriate way of measuring research productivity and (3) identify appropriate research awards, recognition and rewards. Working from the self-determination theory (SDT), the results of the data analysis were used to develop a framework for ensuring crowding-in of research incentives into intrinsic motivation. This framework is anchored on the three main components (competence, autonomy and social relatedness) of the cognitive evaluation theory (CET) that provides guidelines for the design of a research incentive system.

Intrinsically motivated researchers tend to conduct research for their inherent satisfaction because it meets their basic individual psychological need for competence. Existing research incentives and productivity systems fail to provide intrinsic motivation for researchers. Recommendation for a framework for designing research incentive systems is centred on the researchers themselves. This approach contributes to a research environment that provides space for autonomy, creativity, flexibility and innovation and consequently a successful research output that is hinged on the ability to keep researchers intrinsically motivated.

A conceptual framework is proposed specifically for technically focused UoT suggesting that crowding-in the motivation of researcher incentives results in improved intrinsic-based motivation. The autonomy of researchers in particular is regarded as the most important driver of such motivation, with the availability of resources, collegiality and research skills and development ranking as the most important aspects specifically driving intrinsic motivation. The framework not only provides a tool for institutions of higher education focused on developing the technical skills, but also offers management at any type of university challenged with low research outputs and a poor research ethos with an alternative method to improve both the quantity and quality of research outputs.

Much of the research on crowding in a service context has focused on customer reaction to crowding in a retail setting. This paper seeks to examine the effect of consumer goals on consumers' reactions to crowding for extended service encounters.

The authors used a 2 (Crowding: crowded or not crowded) × 2 (Goal: utilitarian or hedonic) × 2 (Service level: bad or good) factorial, between‐subjects design to test hypotheses. Service level and tolerance for crowding were entered as control variables. A service encounter in a casual restaurant was used as the service setting in the study. Subjects were randomly assigned to a written scenario describing an experience in a restaurant. They were then shown a photograph depicting the interior of the restaurant.

Consumption goal moderates the effect of perceived crowding on satisfaction. Significantly lower satisfaction ratings are associated with a crowded service environment when the primary consumption goal for the service experience is utilitarian, rather than hedonic, in nature. Furthermore, regardless of the consumption goal, crowding negatively impacts positive in‐store behaviors (i.e. desire to spend more money and time at the restaurant).

The study was limited to one extended service setting. Future research across other extended service settings is needed establish the generalizability of the findings.

The study has implications for the design of the service facility and the application of demand‐shifting revenue management strategies.

The paper extends the literature on shopping motivations to extended service settings by examining the effect of consumer goals on consumers' reactions to crowding, specifically consumer satisfaction with, and consumer behaviors within, the extended service encounter.

The aim of this paper is to analyse the relationship between public debt, corporate debt service costs and private capital formation in South Africa.

To capture the long-run characteristic of investment, the study adopts the Fully Modified Ordinary Least Squares approach and tests for cointegration using Hansen (1992)'s Parameter Instability test.

We find that private capital formation increases in domestic debt and decreases in external debt during the pre-crisis period. However, during the period post the Global Financial Crisis, we find evidence of domestic public debt crowding out private capital formation, whereas external debt crowds-in capital formation. Debt service costs are found to reduce investment due to the effect of the debt overhang throughout the period under analysis.

The paper has important implications for macroeconomic policy. In particular, there is need for deleveraging and allocation of a higher proportion of debt to public infrastructure expenditure which has complementary effects on private investment.

Debt overhang signal that South African firms could be over-leveraged, which hinders future growth prospects. Firms that face high levels of debt should consider debt restructuring.

Empirical studies undertaken to explore this relationship have yielded contradicting results suggesting that the relationship between public debt and private investment is heterogeneous depending on a given economy or prevailing macroeconomic environment. In particular, existing research does not provide evidence on whether recent increases in public debt in South Africa have led to crowding-in or crowding-out of private investment. This paper therefore contributes to empirical literature on the impact of public debt on private investment within a small open economy.

Based on the construal level theory, the purpose of this study is to prove the effect of interaction between construal level and visual crowding on consumers' buying intention. The study tries to explain the reasons behind the different buying intention toward visual crowding among consumers with different construal level.

This study was conducted through two situational simulation experiments. The main data analysis methods are ANOVA and bootstrap analysis.

(1) the matching of construal level and visual crowding has a significant effect on consumers’ buying intention. (2) Perceptual fluency mediates the interaction between the construal level and visual crowding on buying intention.

This study measures consumers' buying intention through situational experiments but does not measure consumers' buying behavior through real scenarios.

According to the study conclusions, consumers prefer visually crowded packaging that matches their construal level. Enterprises should consider the impact of the construal level on the effect of packaging stimulation.

This study enriches the theory related to construal level and highlights the mediating role of perceptual fluency. The addition of perceptual fluency explains the mechanism by which visual crowding affects consumers' buying intention. This extends the research on the antecedents and effects of perceptual fluency.

This study innovatively introduces visual crowding into packaging and matches visual crowding to construal level, explaining why different consumers buy different visually crowded packaging.