Supplier evaluation in the context of circular economy: A forward step for resilient business and environment concern

Resource depletion is a concern for the global economy; many think that available resources on the planet will not be able to cater to an ever-growing population. Thus, economies are trying to become circular, leaving behind the linear tradition linear approach. In the circular economy (CE), physical resources and energy are made to loop back into the supply chain (SC) for a more extended period. Proper selection of suppliers is an essential criterion towards proper execution of the CE principle in SC. In this research, we have constructed a framework for evaluating the supplier concerning the CE implementation. Further, this research identifies the criterion and sub-criterion, which are pertinent for evaluating the supplier in CE context. Fuzzy-based ‘Criteria Importance Through Inter-Criteria Correlation (CRITIC)’ method is justifiably applied to determine the aggregated weights of the criteria. Finally, ‘Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)’ method is used to determine the suppliers' ranking in the Indian automobile industry. Six criteria and 24 sub-criteria are obtained as per recent literature and then inputs from experts. ‘Environment’ criterion came out as the most favourable criterion with a subjective weight of 0.230. The current research is one of the first such attempts to provide criteria for supplier selection in a CE environment. The developed framework would help organisations in implementing CE-based supplier selection. The identified criteria and sub-criteria would provide organisations with means to evaluate suppliers and help suppliers develop an effective and efficient CE based on the SC.     

Green banking disclosure,firm value and the moderating role of a contextual factor: Evidence from a distinctive regulatory setting

The idea that green banking disclosure leads to increased firm value has been rightly considered as over-simplistic. This paper builds on key prior insights by investigating whether combining green disclosure with other contextual factor, such as non-performing loans, provides additional insight into the complex green disclosure–firm value relationship in a regulatory setting where green law has recently been enacted for the banking industry. We present an analysis of seven years of data sourced from listed banks in Bangladesh (2008–2014), with data analysed using multiple regression. Our findings indicate that, while green disclosure has a positive effect on the overall firm value of banks, this positive effect is negatively moderated by banks' non-performing loans. This research contributes to the knowledge by showing that green disclosure alone is insufficient for creating market value for banks. Additional contextual matters need attention to understand the impact of green disclosure in contributing to increased market value for banks.     

Why is trait scepticism not consistently reflected in state scepticism? An exploratory study into the role of aesthetic engagement

Where an auditor's sceptical disposition (trait scepticism) is directed toward non-diagnostic information, there is a risk that a sceptical consideration of diagnostic information could be diluted. This may be one reason why trait scepticism is not consistently reflected in sceptical judgments and actions (state scepticism). We develop a scale to measure an individual's predisposition toward engaging with visual elements of the environment (aesthetic engagement) and test, in two experiments employing students and practicing auditors, whether aesthetic engagement moderates the trait – state scepticism relationship. We find that aesthetic engagement attenuates the positive relationship between trait and state scepticism.     

Prospect of off-seasonal vegetable production in Bangladesh: a socioeconomic diagnosis

Quality & Quantity - The research work was conducted to estimate comparative profitability, seasonal price variations, and factors affecting the farmers’ decision in the adoption of...     

Creating advocates: understanding the roles of CSR and firm innovativeness

Although previous studies revealed the positive effect of CSR perceptions on customer behaviour, the relationship between CSR and perceived firm innovativeness (PFI) has been underexplored. The purpose of this paper is twofold. First, it attempts to propose and validate a model to comprehend the relationship between CSR and PFI. Second, it aims to investigate the mediating role of corporate image stemming from CSR and PFI in order to foster customer advocacy intentions. Data were collected from 360 customers of the retail banking industry in Pakistan, and the results indicate that customers’ CSR perceptions directly and positively influence PFI. Interestingly, corporate image fully mediates the relationship between PFI and advocacy intentions, whereas it plays a partial mediation role in the CSR-advocacy intentions relationship. The findings of this research expand the corpus regarding the roles of CSR and PFI in creating advocacy intentions among customers through the corporate image.

     

Economic viability of foreign investment in railways: a case study of the China-Pakistan Economic Corridor (CPEC)

Abstract

Pakistan Railways has faced a severe financial crisis in recent years. Pakistan has recently become a partner with China in a mega-investment project under an agreement called the China-Pakistan Economic Corridor (CPEC). Among other things, CPEC also includes a range of investments in Pakistan Railways. This particular study focuses on the analysis of US$8.2 billion investment in the upgrade and expansion of the Karachi-Peshawar railways link, which is also known as the ML-1 (Main Line 1). The study found ML-1 as economically viable with a payback period of 10?years. Furthermore, ML-1 project investment is expected to result in uplifting Pakistan Railways, mainly through an increase in freight and passenger transportation. Some risk factors may hinder the expected economic return from the CPEC investment in Pakistan Railways. These factors include consistency in the government policies, the status of the Pakistani economy in upcoming years, and law and order situations in the country. The study has a utility for the governments of both countries and larger business communities have stakes in the trade between the two countries. It is equally beneficial for the international community, businesses (both in China and Pakistan) and locals of the region associated with the CPEC infrastructure.     

The Role of the Real Estate Sector in the Structural Dynamics of the Chinese Economy: An Input–Output Analysis

Market‐oriented housing reforms and the rapid urbanization process have led to spectacular growth in the Chinese real estate sector (RES). However, the changes in the role played by this sector in the structural dynamics of the Chinese economy have not been examined sufficiently. Accordingly, we analyze the intersectoral structural changes to the Chinese RES, its linkages with the rest of the economy, and its growth sources, using four Chinese input–output tables from 2002 to 2017. We depart from existing work on the RES by using the causative matrix approach and structural decomposition analysis, and obtain three main results. First, the RES, which received little non‐RES feedback during the 2002–2007 period, has subsequently received much more substantial feedback. Second, the impact of the RES on China's economic growth stems mainly from its forward linkages. Third, the growth in the RES has been driven mainly by domestic demand expansion. Our results highlight that the Chinese RES, which plays a key role in value chains, is highly dependent on its own final demand and a fall in its demand would impede economic development. An important implication of these results is that developing the national economy by stimulating the RES would not be as effective as developing the RES through stimulating the national economy.     

Shrinkage estimation of the exponentiated Weibull regression model for time-to-event data

The exponentiated Weibull distribution is a convenient alternative to the generalized gamma distribution to model time-to-event data. It accommodates both monotone and nonmonotone hazard shapes, and flexible enough to describe data with wide ranging characteristics. It can also be used for regression analysis of time-to-event data. The maximum likelihood method is thus far the most widely used technique for inference, though there is a considerable body of research of improving the maximum likelihood estimators in terms of asymptotic efficiency. For example, there has recently been considerable attention on applying James–Stein shrinkage ideas to parameter estimation in regression models. We propose nonpenalty shrinkage estimation for the exponentiated Weibull regression model for time-to-event data. Comparative studies suggest that the shrinkage estimators outperform the maximum likelihood estimators in terms of statistical efficiency. Overall, the shrinkage method leads to more accurate statistical inference, a fundamental and desirable component of statistical theory.     

Foreign direct investment and its impact on real wages: evidence from Turkish micro-level data

This paper analyzes the role of foreign direct investment (FDI) on wages, using Turkish firm-level data from 2003 to 2010, a period which coincides with significant FDI inflows both in manufacturing and service sector firms in the region. We explore the possibility of increased foreign presence translating into shifts in either labor demand or supply curves thereby resulting in changing the total wage bill or wage per worker in the host country. To empirically test this relationship we employ a dynamic specification of the wage equation. After addressing endogeneity concerns, the results reveal that foreign presence measured in terms of intra- and inter-sectoral linkages is related to higher wage bills in the host economy, hence strengthening the argument for attracting greater foreign investment to enhance labor welfare.     

Productivity impacts of infrastructure development in Asia

This study investigates the impact of infrastructure capital on total factor productivity in selected Asian countries. The scope of the assessment is broadened by exploring the effect of infrastructure development on sectoral differences in total factor productivity. The study calculated the total factor productivity over the period 2006–2016 for 16 manufacturing industries in 19 Asian countries. Further, the impact of lagged infrastructure and endowment is also explored with an eye toward improving different infrastructural measures. The empirical findings show that lagged infrastructure and endowment exert a positive and significant impact on infrastructural improvement. The impact of telecommunications, road, and power infrastructure on sectoral productivity is investigated by applying the fully modified ordinary least squares estimation technique to control the endogeneity problem associated with infrastructure provision. Overall, the empirical findings show that infrastructure provision, particularly the provision of telecommunications and power, is an important factor for explaining patterns of comparative advantage, whereas the provision of roads is important to explain patterns of absolute advantage. The results further indicate that road infrastructure is more important for low technology-intensive industries, while power infrastructure is crucial for high technology-intensive industries.