The environmentally responsible behavior of employees at the workplace can benefit business organizations in particular and society in general. According to previous studies, positive psychological capital has been used frequently for predicting employees' work attitudes and behaviors. In this article, we are seeking to understand whether people with a higher (lower) level of positive psychological capital À hopeful thinking, optimism, and resilience À engage more (less) in environmentally responsible behaviors in the workplace especially when they perceived a high (low) level of environmental justice To test the study hypotheses, we collected survey data from 196 randomly selected employees working in 35 private small-sized businesses in Bangladesh. This study showed that employees with higher levels of positive psychological capital engage more in environmentally responsible behaviors at the workplace. The results showed that when employees are treated fairly in the workplace, those with a high level of hopeful thinking and resilience are more likely to engage in environmentally responsible behaviors at work.

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This article examines the effects of regional trade agreements. The augmented gravity model of international trade is used to test for trade creation and diversion in the context of trade agreements in the Asia-Pacific region. The results of the estimated model indicate that trade has increased among the members of AFTA and APTA but not among the AANZFTA members. Differences in the levels of development appear to have a significant impact on trade flows, suggesting that there can be no general presumption about the extent of trade creation and trade diversion.

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Purpose – The purpose of this paper is to identify whether any financial integration exists among ASEAN+5 members and some East Asian countries, including China, Japan, Korea, Hong Kong, and Taiwan, through interest rate, exchange rate, level of prices, and real output. Design/methodology/approach – Therefore, the authors intend to identify any long-term relationship among these variables utilizing the data in the most efficient manner via panel cointegration and panel unit root tests. The study likewise uses a panel-based vector error correction (panel-vec) model for comparison and also short-run relationship analysis. The long-run relationship is estimated using dynamic ordinary least square technique and a panel multi-layer perceptron (MLP) neural network. Findings – For the ten countries under consideration, the empirical result supports the long-run equilibrium relationship among real output, exchange rate, interest rate, and level of prices, and that the cointegration relationship implies unidirectional causality from exchange rate to real output. This result is favorable to a model that contains real output as a dependent variable and exchange rate, interest rate, and level of prices as explanatory variables. Panel-vec results indicate no evidence of short-run causality from exchange rate to real output. Furthermore, the comparison result of long-run equation estimation shows the superiority of neural networks over econometric models. Originality/value – This paper adds to the literature by examining the financial cointegration using a panel model that contains real exchange rate, interest rate, real output, and inflation rate in ASEAN+5. Additionally this paper applied the MLP neural network to yield a robust estimation of the long-run equation obtained among the variables.