Credit constraints and the delay of homeownership by young households in Japan

2018 ◽  
Vol 13 (1) ◽  
pp. 56-76
Author(s):  
Norifumi Yukutake ◽  
Yoko Moriizumi

Purpose Japan has been suffering from a decline in the rate of young adults homeownership for a long time. The reduction of the homeownership rate for young adults suggests a delay of tenure transition from renting to owning a home. Such delays further imply that there is insufficient wealth accumulation and a low level of welfare. This paper examines these influences of the credit rationing and the credit rationing impact on the reduction in the young adults’ homeownership rate. Design/methodology/approach Credit rationing impacts the timing of house purchases and the value of the houses at the same time. This paper estimates these impacts jointly using a simultaneous equation system (minimum distance estimation) and the micro data on Japan. Findings This paper divides the effect of credit rationing on the timing into direct and indirect effects. The former is the rationing effect on timing, keeping the other variables constant, while the latter is the effect via changes in house values. This paper finds that the indirect effect reduces the rationing effect on the timing by decreasing house values. Furthermore, the results show that credit rationing delays home acquisition by prospective young owners (direct effect) and necessarily lowers the quality of houses they purchase. Originality/value In the previous papers, the endogeneity among the variables related to the housing purchase was not addressed. To separate the endogeneity of the timing from the house value, this paper applies the simultaneous equation model. Furthermore, this paper exhibits that there are direct and indirect effects of credit rationing on the timing of housing purchase made by young households. None of the previous papers recognize these two effects.

2019 ◽  
Vol 74 (4) ◽  
pp. 915-929 ◽  
Author(s):  
Pramod Sharma ◽  
Jogendra Kumar Nayak

PurposeThis paper aims to examine the direct and indirect effects of tourists’ value on satisfaction and loyalty intentions in dark tourism.Design/methodology/approachThis research was conducted using the data collected through a questionnaire survey from 403 tourists visiting a dark tourism destination in India. Data were analyzed using CFA and SPSS macro (Process).FindingsThe findings confirmed that tourists’ values have significant direct and indirect effects on loyalty intentions via satisfaction in dark tourism. Among specific value, the strongest direct and indirect influence of emotional value in dark tourism is the unique finding of this research.Practical implicationsThis study would help the marketers, government, local authorities and relevant stakeholders operating in dark tourism to formulate policies and strategies to better serve this niche tourism.Originality/valueThis research is the first-known attempt to reveal the uniqueness of tourists’ perception of value in dark tourism. It could significantly add to the literature and practice of dark tourism.


2019 ◽  
Vol 36 (8) ◽  
pp. 1318-1344 ◽  
Author(s):  
Anu P. Anil ◽  
Satish K.P.

Purpose Total quality management practices have been embraced by many quality-oriented firms around the world in order to improve performance in terms of quality, productivity, customer satisfaction and profitability. The purpose of this paper is to investigate the direct and indirect effects of TQM practices on various performance indicators specifically in the Indian manufacturing context. This paper focuses on developing an integrated model encompassing significant structural relations showing the linkage between TQM practices and multiple performance indicators – quality performance, customer satisfaction level, operating performance, employee performance, innovation performance, society results and financial performance. Apart from analyzing the direct relationship between constructs, the main purpose of this work is also to identify all the possible mediation effects of performance indicators on others using structural equation modeling (SEM). Design/methodology/approach An in-depth literature review was conducted to identify the key practices for the successful implementation of TQM in an organization as well as to explore TQM-performance effects. As a result, four TQM practices and seven performance indicators were identified. The data were collected from 260 Indian manufacturing organizations. After confirming the reliability and validity using exploratory and confirmatory factor analysis, the proposed hypotheses were tested using SEM. Findings Through testing the proposed hypothesized structural model, the direct and indirect effects of TQM practices have been examined. Moreover, this work developed an integrated model showing the interrelationships between TQM practices and performance indicators identified. The findings gave an insight that the effective implementation of TQM practices assists in reaping benefits in the every facet of an organization. By implementing these practices effectively, managers can expect to realize improvement in all these performance areas. Research limitations/implications This study is subject to certain limitations. Even if all variables were found to be reliable, valid and satisfactory non-response bias test results, the remote possibility of bias in the data might not be fully ruled out. There is a probability of occurrence of common method variance and common method bias, since the data for both dependent and independent variables were collected from the same respondents in the organization. Additionally data on performance indicators were based on the respondent’s assessment and awareness only. The mediating relationship between individual TQM practice and performance indicators can be investigated in future studies. Since society results are a necessity in future, the direct and indirect practices focusing toward this can be explored. In addition, there is a research scope to identify the moderating effect of contextual factors such as degree of TQM implementation, scope of operation and type of organization. Practical implications The findings of the research offer some potentially valuable insights into the relevance of TQM practices and its strong linkage on various performance indicators, through which the overall organization performance can be enhanced. By implementing these practices effectively, managers can expect to realize improvement in all these performance areas. Hence, the managers can adopt this approach to assess their organization’s level in the quality path and as a guideline in implementing TQM practices. They can also measure the impacts of TQM practices on multiple performance measures in order to evaluate their TQM initiatives. Especially the deployment of quality culture is a requisite to excel in the every facet of performance. The positive relationship between TQM practices and various performance indicators can motivate the managers to allocate resources in time, effort and capital for TQM implementation in pursuing quality, leading to customer retention and competitiveness. The findings of the study strongly suggest the need for the holistic implementation of TQM practices for the survival of the organization. Originality/value While there is a considerable volume of researches carried out to investigate the linkage between TQM and organization’s performance across the globe, still little is evidenced regarding the mediating effect of performance indicators on others, especially in the Indian manufacturing context. The present paper attempts to extend and add knowledge to this line of research and to bridge the gap and provide sufficient empirical evidence specifically in the Indian scenario. Thereby helps the organization to follow a guideline to improve the overall performance.


2007 ◽  
Vol 30 (12) ◽  
pp. 892-914 ◽  
Author(s):  
Glenn A. Metts

PurposeThe paper's purpose is to investigate the direct and indirect effects of industry competitive forces on strategy‐making and performance in small‐to‐medium‐sized manufacturing companies.Design/methodology/approachThe paper's approach is a survey design with structural equation modeling used for hypotheses testing.FindingsThe findings provide strong support for the mitigating role of managerial action through the strategy‐making process and indications that this is true regardless of small‐to‐medium‐sized enterprise (SME) size. Also, automotive‐manufacturing SMEs seem to exhibit higher levels of competitive factors compared with non‐automotive manufacturing SMEs.Research limitations/implicationsThe major limitation of this research is that the survey was taken in the Mid‐western USA and involved only SME manufacturing organizations. The research should be extended to other geographic regions, industry types, and larger organizations.Practical implicationsMany small company managers feel that they have little impact on industry‐wide macro‐economic and industry‐specific forces. This research indicates that managers in SMEs can mitigate some of the negative effects of industry competitive factors through strategy‐making activities.Originality/valueThis research is unique in several ways. It is the only research that has clearly identified and successfully measured the impact of managerial action in SMEs. It demonstrates that managerial action can be measured by comparing the direct and indirect effects of industry competitive forces on performance. It further identifies the need for a self‐assessment tool to measure the effectiveness of managerial action of top managers in SMEs.


Author(s):  
Dominique Haughton ◽  
Guangying Hua ◽  
Danny Jin ◽  
John Lin ◽  
Qizhi Wei ◽  
...  

Purpose – The purpose of this paper is to propose data mining techniques to model the return on investment from various types of promotional spending to market a drug and then use the model to draw conclusions on how the pharmaceutical industry might go about allocating promotion expenditures in a more efficient manner, potentially reducing costs to the consumer. The main contributions of the paper are two-fold. First, it demonstrates how to undertake a promotion mix optimization process in the pharmaceutical context and carry it through from the beginning to the end. Second, the paper proposes using directed acyclic graphs (DAGs) to help unravel the direct and indirect effects of various promotional media on sales volume. Design/methodology/approach – A synthetic data set was constructed to prototype proposed data mining techniques and two analyses approaches were investigated. Findings – The two methods were found to yield insights into the problem of the promotion mix in the context of the healthcare industry. First, a factor analysis followed by a regression analysis and an optimization algorithm applied to the resulting equation were used. Second, DAG was used to unravel direct and indirect effects of promotional expenditures on new prescriptions. Research limitations/implications – The data are synthetic and do not incorporate any time autocorrelations. Practical implications – The promotion mix optimization process is demonstrated from the beginning to the end, and the issue of negative coefficient in promotion mix models are addressed. In addition, a method is proposed to identify direct and indirect effects on new prescriptions. Social implications – A better allocation of promotional expenditures has the potential for reducing the cost of healthcare to consumers. Originality/value – The contributions of the paper are two-fold: for the first time in the literature (to the best of the authors’ knowledge), the authors have undertaken a promotion mix optimization process and have carried it through from the beginning to the end Second, the authors propose the use of DAGs to help unravel the effects of various promotion media on sales volume, notably direct and indirect effects.


2020 ◽  
Vol 12 (3) ◽  
pp. 409-425 ◽  
Author(s):  
Shurui Zhang ◽  
Shuo Wang ◽  
Lingran Yuan ◽  
Xiaoguang Liu ◽  
Binlei Gong

PurposeThis article investigates the mechanism of the direct and indirect effects of epidemics on agricultural production and projects the impact of COVID-19 on agricultural output in China.Design/methodology/approachThis article first adopts a dynamic panel model and spatial Durbin model to estimate the direct and indirect effects, followed by a growth accounting method to identify the channels by which epidemics affect agriculture; finally, it projects the overall impact of COVID-19 on agriculture.FindingsThe incidence rate of epidemics in a province has a negative impact on that province's own agricultural productivity, but the increase in the input factors (land, fertilizer and machinery) can make up for the loss and thus lead to insignificant direct effects. However, this “input-offset-productivity” mechanism fails to radiate to the surrounding provinces and therefore leads to significant indirect/spillover effects. It is projected that COVID-19 will lower China's agricultural growth rate by 0.4%–2.0% in 2020 under different scenarios.Research limitations/implicationsIt is crucial to establish a timely disclosure and sharing system of epidemic information across provinces, improve the support and resilience of agricultural production in the short run and accelerate the process of agricultural modernization in the long run.Originality/valueConsidering the infectivity of epidemics, this article evaluates the mechanism of the direct and indirect effects by introducing a spatial dynamic model into the growth accounting framework. Moreover, besides the impact on input portfolio and productivity, this article also investigates whether epidemics reshape agricultural production processes due to panic effects and control measures.


2018 ◽  
Vol 35 (1) ◽  
pp. 164-185 ◽  
Author(s):  
Sam Zisuh Njinyah

Purpose The purpose of this paper is to examine the significance of the direct and indirect effects (through country and firm’s specific advantages) of government policies for export promotion (GPEP) on the export performance of small and medium-size enterprise (SME) Cocoa exporters in Cameroon. Design/methodology/approach To test the proposed model, data were obtained through self-administered questionnaires using snowball sampling technique to 101 SME Cocoa exporters. This was analyzed using structural equation modeling (SEM) techniques to examine both the direct and indirect effects of GPEP on the export performance of SME Cocoa exporters in the South and Centre Regions of Cameroon. Findings The findings suggest that GPEP had both direct and indirect effects on the export performance of SME Cocoa exporters. Direct effect was on the usage of GPEP which reduces operating cost and increase performance. The indirect effects were through the provision of country and firms specific advantages. However, the only significant path was through the provision of export marketing information. Research limitations/implications The research is limited to one country, one sector, and two regions and does not take into consideration other factors that may influence the effect of GPEP, country, and firms specific advantages on export performance. Moreover, the non-significant paths should be interpreted with caution and further testing required in a different context. Practical implications Empirical findings are relevant for the government and SME Cocoa exporters. It informs the government about the effectiveness of GPEP and the need to disseminate marketing information using every possible medium best understood by the SMEs. It suggests an opportunity for engagement of both SMEs and government authorities in accessing the outcome of GPEP which will increase transparency, awareness, usage, and export performance. Originality/value The research has successfully developed and tested a model for analyzing the direct and indirect effects of GPEP on export performance based on the resource-based view and SEM in a context where there is a call for more empirical and theoretical work on export performance due to limited studies. The framework reveals positive effects of GPEP, country, and firms’ specific advantages as determinants of export performance.


2014 ◽  
Vol 116 (6) ◽  
pp. 931-951 ◽  
Author(s):  
Domenico Dentoni ◽  
Glynn T. Tonsor ◽  
Roger Calantone ◽  
H. Christopher Peterson

Purpose – The purpose of this paper is to disentangle the direct and indirect effects of three credence labels (Australian, animal welfare and grass-fed) on US consumer attitudes toward buying beef steaks. Furthermore, it explores the impact of consumer attribute knowledge, usage frequency, education and opinion strength on the magnitude of direct and indirect effects. Design/methodology/approach – Data are collected through an online experiment with 460 US consumers and analyzed with path modeling. Findings – The Australian label generates a 86 percent negative direct effect vs a 14 percent negative indirect effect on consumer attitudes, which means that US consumers do not make strong inferences to form their attitudes toward buying Australian beef. The animal welfare label generates 50 percent direct and 50 percent indirect effects. The grass-fed label generates only indirect effects (100 percent). The higher consumer education, attribute knowledge, usage frequency, education and opinion strength, the weaker are the indirect effects of credence labels. Research limitations/implications – The study focusses on consumers in one country (USA), one product (beef steak) and one label across three attributes, therefore generalization of results is limited. Practical implications – The study offers a tool to agribusiness managers as well as to policy makers, NGOs and consumer groups to design and assess the effectiveness of communication campaigns attempting to strengthen (or weaken) consumer inferences and attitudes relative to credence labels. Originality/value – Despite the wide literature on consumer inferences based on credence labels, this is the first study that quantitatively disentangles the complex set of inferential effects generated by credence labels and explores common relationships across multiple credence attributes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ebenezer Afum ◽  
Yuan Gao ◽  
Yaw Agyabeng-Mensah ◽  
Zhuo Sun

PurposeThis paper explores the nexus between lean operations, eco-product innovativeness, social performance, green performance and business performance. Both direct and indirect effects are tested among the variables under consideration in this study.Design/methodology/approachData is garnered from 166 Ghanaian small and medium-sized enterprise (SME) manufacturers. All hypothesized relationships are tested using partial least square-structural equation modeling.FindingsThe results suggest that lean operations has a significant positive effect on eco-product innovativeness, social performance, green performance and business performance. The results further indicate that eco-product innovativeness significantly influences green performance and social performance, but does not significantly influence business performance. The mediation procedure performed shows that eco-product innovativeness plays a complementary partial mediation role between lean operations, social performance, green performance and business performance.Practical implicationsThe study provides enough evidence that informs managers that the application of lean operations should be a necessity instead of an afterthought when pursuing their sustainable performance targets. The study specifically enlightens Ghanaian managers and those in similar environs to substantially invest in lean operations to achieve eco-product innovativeness and contribute to the survival of the manufacturing sector.Originality/valueIn addition to expanding lean operations and environmental management literature, the study happens to be among the scant studies that has verified the direct and indirect effects between lean operations, eco-product innovativeness, social, green and business performances.


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