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The widespread adoption of the Balanced Scorecard has led to a need to understand how performance measures affect employees’ attitudes and behaviors. Despite the growing trend in the implementation of the Balanced Scorecard, there is little research evidence available on the behavioral outcomes resulting from the use of nonfinancial performance measures. This study seeks to address this gap by examining several behavioral outcomes, including job satisfaction, organizational commitment and managerial performance, resulting from the use of financial and nonfinancial performance measures.

Data were collected using a mailed questionnaire survey to manufacturing organizations in Singapore. Path analysis technique was employed in this study to investigate the relationships.

The results of the study show that behavioral outcomes are indifferent regardless of the nature and type of performance measures used. However, the relationships between performance measures and behavioral outcomes are indirect through procedural fairness and trust in supervisor.

Survey questionnaire method was used in this study and there are limitations associated with survey questionnaire method. As our sample was selected from large organizations, it is unclear if our results are generalizable to small organizations. Also, as our sample was selected from the manufacturing sector, generalizing our results to the nonmanufacturing sectors should be made with caution.

This study highlights the need for organizations to pay attention to issues pertaining to procedural fairness and interpersonal trust in the design and implementation of performance measurement systems.

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.

Data are collected through an online experiment with 460 US consumers and analyzed with path modeling.

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.

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.

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.

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.

Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues.

This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM).

This study facilitates the adoption of modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing more accurate alternatives. In addition, the authors propose a decision tree and classification of mediation effects.

The recommended approach offers a wide range of testing options (e.g. multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their studies in a more accurate way.

This paper aims to investigate spillover effects of public capital stock in a production function model that accounts for spatial dependencies. In many settings, ignoring spatial dependency yields inefficient, biased and inconsistent estimates in cross country panels. Although there are a number of studies aiming to estimate the output elasticity of public capital stock, many of those fail to reach a consensus on refining the elasticity estimates. We argue that accounting for spillover effects of the public capital stock on the production efficiency and incorporating spatial dependences are crucial. For this purpose, we employ a spatial autoregressive stochastic frontier model based on a number of specifications of the spatial dependency structure. Using the data of 21 OECD countries from 1960 to 2001, we estimate a spatial autoregressive stochastic frontier model and derive the mean indirect marginal effects of public capital stock, which are interpreted as spillover effects. We found that spillover effects can be an important factor explaining variations in technical inefficiency across countries as well as in explaining the discrepancies among various levels of output elasticity of public capital stock in traditional production function approaches.

Tourism is a labor-intensive sector with extensive links to other industries and plays a vital role in creating employment. This study aims to propose a new framework to analyze the intrinsic structure of the employment effects of tourism-related sectors and their drivers.

This study uses input–output and structural decomposition analysis (IO-SDA) to quantify the employment effects of tourism-related sectors and their driving mechanisms based on China’s I-O tables of 2002, 2007, 2012 and 2017.

The results show a declining trend in the intensity of direct or indirect employment effects in tourism-related sectors, indicating a decreasing number of jobs directly or indirectly required to create a unit of tourism output. Among tourism-related sectors, catering has the highest intensity of indirect employment effects over the study period. Catering stimulates the indirect employment of agriculture, forestry, animal husbandry, fishery and food and tobacco manufacturing. The decomposition analysis reveals that final demand is the largest contributor to the increase in tourism employment, while technological progress shifts from an employment-creation effect in 2002–2012 to an employment-destruction effect in 2012–2017.

This study proposes a new analytical framework to investigate the structural proportional relationship between the direct and indirect employment effects of various tourism-related sectors and their dynamic changes. Doing so, it provides valuable references for policymakers to promote tourism employment.

旅游相关部门就业效应的驱动因素：以中国为例

摘要

旅游业是一个劳动密集型部门, 与其他国民经济部门有着广泛的联系, 这在创造就业方面发挥着重要作用。本研究旨在建立一个框架, 分析旅游相关部门就业效应的内在结构及其驱动因素。

本研究基于中国2002年、2007年、2012年和2017年的投入产出表, 引入投入产出和结构分解分析（IO-SDA）法量化了旅游相关行业的就业效应及其变化的驱动机制。

旅游相关部门的直接或间接就业强度呈下降趋势, 可见创造一个单位的旅游产出所需的直接或间接工作数量在减少。在旅游相关部门中, 餐饮部门在研究期内的间接就业效应强度最高, 主要带动了农、林、牧、渔业和食品及烟草制造业的间接就业。旅游就业效应变动的驱动因素中, 最终需求是旅游就业效应增加的最大贡献者, 技术效应从2002-2012年期间的就业创造效应转变为2012-2017年期间的就业破坏效应。

本研究建立了一个全新的分析框架, 可以揭示各个旅游相关部门的直接和间接就业效应之间的结构比例关系及其动态变化。对旅游就业效应的驱动因素分析可以为政策制定者提供针对性的建议, 以促进旅游就业。

Factores que impulsan los efectos del empleo en los sectores relacionados con el turismo: El caso de China continental

Resumen

El turismo es un sector intensivo en mano de obra con amplios vínculos con otras industrias y desempeña un papel vital en la creación de empleo. Este estudio propone un nuevo marco para analizar la estructura intrínseca de los efectos en el empleo de los sectores relacionados con el turismo y sus impulsores.

Este estudio utiliza el análisis de entrada-salida (input-output) y de descomposición estructural (structural decomposition) (IO-SDA) para cuantificar los efectos sobre el empleo en los sectores relacionados con el turismo y sus mecanismos impulsores, basándose en las tablas input-output de China de 2002, 2007, 2012 y 2017.

Los resultados muestran una tendencia a la baja en la intensidad de los efectos directos o indirectos del empleo en los sectores relacionados con el turismo, lo que indica un número cada vez menor de puestos de trabajo directos o indirectos necesarios para crear una unidad de producción turística. Entre los sectores relacionados con el turismo, la restauración tiene la mayor intensidad de efectos indirectos sobre el empleo durante el periodo de estudio. La restauración estimula el empleo indirecto de la agricultura, la silvicultura, la ganadería, la pesca y la fabricación de alimentos y tabaco. El análisis de descomposición revela que la demanda final es la que más contribuye al aumento del empleo turístico, mientras que el progreso tecnológico pasa de ser un efecto de creación de empleo en 2002-2012 a un efecto de destrucción de empleo en 2012-2017.

Este estudio propone un nuevo marco analítico para investigar la relación estructural proporcional entre los efectos directos e indirectos del empleo de varios sectores relacionados con el turismo y sus cambios dinámicos. De este modo, proporciona valiosas referencias para que los responsables políticos promuevan el empleo en el sector turístico.

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.

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.

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.

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.

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.

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.

This 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.

This 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.

The 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.

It 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.

Considering 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.

The purpose of this paper is to investigate the effects of industrialization and urbanization on CO₂ emissions in 20 African countries for the period 1980 to 2013.

In order to correct for cross-sectional dependence, this study adopts the use of pooled mean group. Also, the study contributes to the literature by estimating the direct, indirect and total effects of industrialization and urbanization on carbon emission.

The results show that industrialization and urbanization directly increase environmental degradation. Interestingly, industrialization and urbanization were also found to reduce environmental degradation through their indirect effects on per capita income. In general, the authors conclude that the indirect effect of industrialization will overcrowd the direct effect, and this will lead to a decline in the overall effect of industrialization on carbon emission. Also, the positive direct effect of urbanization outweighs the negative indirect effect, thus the overall effect of urbanization will endanger carbon emission in the long run.

The existing studies on emission, industrialization and urbanization have typically been biased toward Africa. This present study filled this gap. The choice of African countries is based on the notion that the continent is desirous of expanding her industrialization level. This has coincidentally led to the increase in urbanization growth rate as well as income level of former rural dwellers. The second contribution of this study is the “effects decomposition” into direct, indirect and total effects. This is to reveal some inherent information that might be missing.

In the present paper we explore the long-term influence of childhood neglect on violent behavior in the transition to adulthood. In particular, we test whether neglect is spuriously related to violence due to their common association with academic achievement, physical abuse, and general offending. We then ask whether neglect has an indirect effect on violence through its impact on parental attachment, alcohol use, emotional negativity, academic achievement, or staying in school.

We use two waves of data from the National Longitudinal Survey of Adolescent Health (Add Health) and employ both regression models and INDIRECT, a syntax file that allows for the testing of indirect effects using SPSS (Preacher & Hayes, 2008).

We find that the long-term association between childhood neglect and violence in the transition to adulthood is robust in models controlling for GPA, physical abuse, and other forms of offending. Neglect did not have an indirect effect on violence through attachment, negative emotionality, or academic achievement but did have indirect effects on violence through its association with staying in school and with alcohol use.

This set of analyses was exploratory in nature. Further research on neglect should be undertaken, using finely tuned measures and research questions. In addition, our findings imply that the association between neglect and later violent behavior may be intertwined with certain dynamics of physical abuse and alcohol use, which should be further studied.