Search results

Do corporate social responsibility (CSR) practices necessarily increase their social capital? The key to answering this question lies in understanding the impact of the interactive behavior of CSR and social capital on the sustainable operation and development of enterprises. This paper finds that existing studies cannot accurately describe the inherent interaction between CSR and social capital, and the results verified by econometric models are often abstract and do not adequately reflect the actual business situation of enterprises.

This article tries to make a breakthrough in two aspects: the article identifies the common practice object of CSR and social capital by using the “stakeholder” mechanism and puts forward the hypothesis of the relationship between CSR and social capital by observing the interaction behavior between enterprises and stakeholders; based on the perspective of sustainable development, the article proposes the elements of “trust, norm and rationality,” analyzes the behavioral choices of enterprises in social responsibility practice and social capital accumulation and clarifies the inherent relationship between them.

The article points out the impact of the multifaceted nature of the relationship between CSR practices and social capital enrichment on the sustainable development of enterprises and proposes that manufacturing enterprises in transformation and innovation should be analyzed using an objective position rather than value judgment.

This paper synthesizes the assessment data from the questionnaire, interview data and sustainability analysis to answer the questioning of existing research: CSR does not necessarily increase corporate social capital, and the relationship between the two is complex and multifaceted, depending on the specific target and business state of the company. The focus of this paper is to analyze in detail the three relationship assumptions that form when companies interact with their stakeholders, based on the sustainability perspective of “trust,” “norms” and “rationality.”

This paper explores the role of accounting and accountability techniques in contributing to Australia’s border industrial complex.

We use the political thought of Behrouz Boochani to explore the role that accounting techniques play at the micro and macro level of his dialectic of alienation and freedom. Firstly, we explore the accounting and accountability techniques detailed in Boochani’s No Friend but the Mountain, which gives an account of his life in Manus Prison, and the accounting techniques he experienced. Secondly, we explore the discourse of alienation created within the annual reporting of the Australian Federal Government regarding the border industrial complex.

We argue that the border industrial complex requires the alienation of asylum seekers from their own humanity for capital accumulation, and that accounting and accountability techniques facilitate this form of alienation. These techniques include inventorying, logging and queuing at the micro level within Manus Prison. This alienates those trapped in the system from one another and themselves. Techniques also include annual reporting at a macro level which alienates those trapped in the system from the (White) “Australian Community”. However, these techniques are resisted at every point by assertions of freedom.

We illustrate the role of accounting in accumulation by alienation, where the unfreedom of incarcerated asylum seekers is a site of profit for vested interests. But also that this alienation is resisted at every point by refusals of alienation as assertions of freedom. Thus, this study contributes to the accounting literature by drawing from theories of alienation, and putting forward the dialectic of alienation and freedom articulated by Boochani and collaborators.

The aim of the paper is to investigate Goodwin’s growth cycle in the Indian organised manufacturing industries.

The methodology is based on bi-variate differential equation, econometrics model like log-linear regression and Autoregressive Distributed Lag model. An empirical investigation is conducted on data from the Annual Survey of Industries from 1980 to 2018 time period.

The results indicate that though the original Goodwin model estimates deviated from data estimates, its modified (neo-Goodwin) model are found to be equivalent to the data estimates. Moreover, in contrast to the original model, the capital accumulation rate (investment to profit ratio) is not assumed to be unitary in the modified Goodwin model. Furthermore, the labour market-led and cost effect conditions of the Goodwin cycle are empirically verified by investigating the interdependency between employment rate and wage share. Lastly, the short- and long-run Goodwin cycles are observed to be moving in anti-clockwise direction in the employment rate and wage share bi-dimensional plane, thus confirming the existence of profit-led distribution where wage share continuously reducing with high employment.

This study opens the discussion on application of capitalistic model in the emerging economy and also suggests to incorporate some theoretical models like Kaldorian, Keynesian, Kaleckian or Schumpetrian into the Goodwin cycle.

This is the first paper which empirically examines the capitalistic nature of Indian organised manufacturing industries through the lens of Goodwin growth cycle and then extend it to the Neo-Goodwin model by relaxing one of the unrealistic assumption regarding unitary investment to profit ratio.

The main aim of this study is to explore the role of multi-dimensional human capital on the economic growth of the Indian economy.

The study used the methodology given by World Bank, 2018) in calculating the human capital index (HCI). The HCI has been constructed at a regional level for all 28 Indian states and 8 Union Territories (UTs) for the period of 2015–2016. The study explored the linkages between HCI and per capita gross state domestic product (PGSDP). The study further employed OLS (Ordinary Least Square) for overall significance and Spearmen’s Rank correlation coefficient test for establishing the linkage between HCI and PGSDP.

The results indicate that quality education, expected year of schooling, and infant mortality rate play a significant role in the improvement of HCI which further impacts the productivity rate of the upcoming generation and the inclusive growth of the country. The findings show that Mizoram, Chandigarh and Kerala are better performing states while the Bihar and Uttar Pradesh are the worst performers. The results also show that there is a positive and statistically significant correlation between PGSDP and HCI and its components. Further, the results show that public expenditure on health and education has significant effect on HCI.

The results of this study would be useful for policymakers to identify the determinants and improve the position of Indian states in HCI. The results show that policymakers should focus on quality education and health to improve the productivity of future generation workers for sustainable and inclusive growth.

The study is the pioneering study to analyze the state-wise HCI in India using methods mentioned by the World Bank. Unlike previous studies, variables such as expected year of schooling, under-5 mortality rates and survival rates are constructed more pragmatically.

This study assesses the probability of an OECD member country exhibiting high persistence in unemployment duration, considering income inequality, productivity, accumulation of human capital and labor income share in Gross Domestic Product (GDP) between the years 2013–2019.

To achieve the purpose of the study, a probabilistic analysis with panel data is employed, focusing on 20 OECD countries segmented into two groups: those with high persistence and low persistence in unemployment duration. Probit and Logit models are estimated, marginal changes are analyzed and the models are evaluated in terms of their classification accuracy. Finally, trends in probabilities over time are examined.

This paper exhibits that countries with higher human capital index, greater labor income share in GDP, and more relevant productivity for well-being reduce their probabilities of experiencing high persistence in unemployment duration. It is observed that Mexico (MEX), Greece (GRC), Italy (ITA), and Turkey (TUR) have elevated probabilities of experiencing high persistence in unemployment duration in the future, while Costa Rica (CRI), Estonia (EST), Slovakia (SVK), Czech Republic (CZE), Lithuania (LTU), Poland (POL), and Israel (ISR) show a marked downward trend in these probabilities. Lastly, countries like the United Kingdom (GBR), Denmark (DNK), Sweden (SWE), Norway (NOR), Netherlands (NLD), Germany (DEU), United States (USA), and Canada (CAN) present minimal risk of experiencing high persistence in unemployment duration in the future.

The measurement of the relationship between development outcomes and persistence in unemployment duration has been scarce. Generally, the literature has focused on the analysis of development and unemployment without delving into the duration of unemployment, let alone persistence in duration.

This paper provides a solid foundation for the formulation of policies aimed at promoting sustainable employment and inclusive economic growth.

Based on the findings of the study, two key development policies are proposed. Firstly, the implementation of investment programs in Human Capital to increase productivity is recommended. Resources should be directed towards initiatives that improve the necessary skills and competencies in the labor markets of OECD countries, especially in strategic economic sectors with higher production linkages. Additionally, incentivizing the application of active labor policies is proposed. This entails prioritizing policies aimed at increasing the labor income share in GDP through progressive fiscal reforms that strengthen social safety nets and ensure fair labor standards. Implementing employment programs targeted at vulnerable groups, such as long-term unemployed individuals, youth, female heads of households and marginalized communities, is also recommended to eliminate structural barriers to labor market participation and reduce disparities in unemployment persistence. Adopting these policies can help mitigate the risk of high unemployment duration persistence and foster sustainable and inclusive long-term economic growth.

This is the first study to analyze the probabilities of both developing and developed countries experiencing high persistence in unemployment duration. It specifically evaluates these probabilities over a period of time and also estimates potential outcomes if real investments were made to enhance their human capital, productivity and employability.

The purpose of this paper is to explore the matching relationship between factor endowment and industrial structure, and its impact on economic growth.

The assortative matching method is developed to quantitatively measure the matching between factor endowment and industrial structure. A series of empirical tests are then carried out to evaluate the impact on the economic development of the matching.

1) The matching between factor endowment and industrial structure has a significantly positive impact on economic growth. (2) Economic growth reaches its maximum when the gap between the two sectors narrows to zero. (3) This effect is particularly significant for countries with higher GDP per capita and GNI per capita. (4) The results remain robust after employing a series of tests.

Aggressive industrial policies are not desirable. The optimal industrial structure is the one that complied with the comparative advantage of the given factor endowment in the economy.

So far, there has been a significant lack of an applicable quantitative indicator for measuring the matching between factor endowment and industrial structure, which is essential for conducting empirical tests and providing evidence for related economic theories.

Enterprises use social media for their daily work. The use of social media in the workplace is crucial for social connections, the growth and evolution of the enterprise, and it opens up new avenues for voice behavior. Employee voice involves the expression of ideas or opinions towards enterprise and is beneficial for employee work and enterprise development. Extant studies of voice behavior usually focus on the leadership and employee factors. However, the internal mechanism of voice behavior, especially the interrelationship between different kinds of social media use and voice behavior has not been well investigated. To fill that research gap, this study analyzes the internal mechanism of voice behavior, taking the effects of social media use and social capital into consideration.

Using structural equation model, this study collected data from employees using social media and analyzed the data using the software of Smartpls 3.0, SPSS and AMOS, in order to analyze the internal mechanism of voice behavior among employees.

Based on social capital theory, this study investigates the relationship between social media use, social capital and voice behavior, and provides some insights into the mechanism of voice behavior. The social media use, social capital and voice behavior are divided into several kinds in order to clarify the internal mechanism of voice behavior more comprehensively. The empirical results show that: (1) Social media use for both work and social-related purposes could positively affect employees’ promotive and prohibitive voice behaviors. (2) Social capital mediates the relationship between social media use and voice behavior. (3) In the process of social media use influencing employees’ voice behavior, employees of different genders and ages show significant differences in social capital and voice behavior.

This study explored the internal mechanism of voice behavior, which could help to elicit the relationship between social media use and voice behavior. By integrating the roles of social capital, individual differences, this study could uncover the deep internal mechanism of employee voice behavior more comprehensively, broadening social capital theory and enriching the researches of voice behavior among employees.

Using elements of Bourdieu’s (1986) capitals framework as an underpinning conceptual architecture, this paper theorises the role of symbolic capital in resourcing a specific example of socially entrepreneurial behaviour.

This paper relies on data collected via a qualitative variant of the critical incident technique.

The analysis resulted in three focal themes: power (a dynamic of cooperation rather than domination), age (youth as a means of legitimation) and temporality (as both lever and conduit).

These themes further current understanding of socially entrepreneurial behaviour and potentially catalyse additional questioning and investigation specific to the construct of symbolic capital in this context.

The insights offered in the paper may assist those tasked with supporting success (policymakers and practitioners) in the social entrepreneurship domain.

Relatively little is known about the operationalisation of capitals in the context of social entrepreneurship, and even less about symbolic capital specifically. Particular emphasis is given to moving beyond a focus on the simple mechanics of capital exchange and conversion.

Considering the inherent relationship between environmental degradation and the process of economic development, the latter is particularly reliant on the accumulation of human capital, which also emerges as one of the fundamental principles underlying green growth. However, this relationship tends to overlook varying levels of human capital. Hence, the purpose of this study is to examine the enduring associations between the stock of high human capital and green economies in terms of environmental sustainability among the key countries in the Asia Pacific region, namely Australia, Japan, Singapore, and South Korea, spanning the period from 1990 to 2022.

This paper employs second-generation techniques. The long-term relationships were estimated using two constantly updated models - fully modified and bias corrected, CUP-FM and CUP-BC, respectively, to guarantee the robustness of our conclusions for the presence of cross-sectional dependency.

There is a long-term relationship between the stock of high human capital and the sustainability of the environment, in the same way that we have also found the same relationship between the development of socioeconomic practices of green economies. Finally, we conclude that, in the same way as the environmental Kuznets curve, the countries in our sample incur less environmental pollution as their level of income increases. This relationship may be motivated by a process of technological substitution and investment in the development of new techniques and technology to improve the efficiency of productivity with respect to the environment.

We suggest that investing in education and promoting green economies can be powerful tools in the fight against climate change and promoting environmental sustainability. By prioritizing investments in renewable energy and sustainable technologies, policymakers can promote long-term economic and environmental health. Moreover, the findings suggest that promoting education in countries with high levels of environmental pollution can develop the knowledge and skills needed to implement sustainable practices and technologies. Ultimately, these efforts can contribute to improving income, productivity, and society's living conditions while reducing the environmental impact.

This research studies for the first time the load capacity curve hypothesis in determining the effects of the stock of high human capital and green economies on the environment. Consequently, limited papers have used the load capacity factor in the study of the relationships that we propose, especially that of human capital, which has scarcely been studied in relation to its contribution to the environmental fight.

The main purpose of this study is to examine the impact of imported inputs on firms' productivity in selected South Asian economies, namely Pakistan, India and Bangladesh. Furthermore, this study explores the complementarity between firms' capabilities and imported inputs in an augmented productivity framework.

A dataset comprising 7117 manufacturing firms of selected South Asian economies was taken from the World Bank for 2013 and 2014. The empirical analysis was based on stochastic frontier models, the ordinary least square method and instrumental variable estimation techniques.

The empirical results show that imported inputs have positive and significant effects on the firms' productivity in the selected countries. Moreover, the study findings demonstrate that firms' capabilities play a complementary role in expanding the firms' production frontier.

The study outcomes suggest that reducing tariffs on imported inputs will enhance the firms' productivity in the selected emerging economies. However, the study further finds that the potential gain of imported inputs is conditional on the firm's capabilities. It implies that firms operating in these countries can improve their performance by allocating more resources to capabilities, such as workers’ training, management and internal R&D effort.

The existing literature on the subject is sceptical about the positive impact of imported inputs on firms' productivity in the case of developing countries. In this regard, the shortage of skilled labour and firms' capabilities are compelling rationales that need to be explored. Thus, the potential contribution of the study lies in explaining the moderating role of firm's capabilities operating in the selected emerging economies in the nexus of imported inputs and productivity.