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This study aims to investigate the influence of the digitalization of corporate social responsibility (CSR) on the sustainable competitive performance (SCP) of small- and medium-sized enterprises (SMEs) in an emerging economy and to examine the moderating effect of digital organizational culture on this relationship.

Data collection was conducted through a survey completed by 311 owners and top managers operating in service, trading and manufacturing sector SMEs positioned within the twin cities of Pakistan. A convenient purposively sampling technique and snowball method were used for data collection, and structural equation modeling was used for data analysis.

The results of this study suggest that CSR digitalization has a markedly positive influence on the SCP. Digital organizational culture appears to moderate these relationships.

This study highlights the importance of considering CSR digitalization and fostering a digital organizational culture for SMEs to achieve SCP. The findings provide valuable insights for strategic decision-makers, including owners, CEOs and senior management of SMEs, to enhance their knowledge concerning how and why a digital organizational culture makes it easier to digitalize CSR activities, with the ultimate objective of ensuring SCP and SME growth. Overall, the findings of this study have practical implications for policymakers and managers in SMEs as they can promote the adoption of digital technologies in CSR initiatives and develop a digital organizational culture within the organization. This would contribute to enhancing the SCP of SMEs. Thus, this research is beneficial for business actors, policymakers and researchers seeking to enhance SMEs’ SCP.

This study provides valuable guidance to the senior management of SMEs regarding successfully adopting and integrating digital technologies into their CSR practices. This integration can lead to increased social and environmental benefits, which positively impact both business and society. Policymakers can use these findings to develop policies and initiatives to encourage CSR digitalization among SMEs. By providing support and incentives for digital transformation, policymakers can help SMEs adopt digital tools to improve their CSR performance, contributing to economic growth and sustainability.

This study pioneers research on the links between CSR digitalization, digital organizational culture and the SCP of SMEs. This study contributes to the literature by defining CSR digitalization as an antecedent to the SCP of SMEs. In addition, this study underlines the significance of CSR digitalization for the achievement of SMEs’ SCP of SMEs with the moderating role of digital organizational culture. Overall, this study enriches the resource base view literature through empirical evidence.

Green, lean and six sigma (GLSS) practices are widely used and well accepted techniques that have the capability to improve the economic, social and environmental performance of Pakistani small and medium enterprises (SMEs). However, implementation of these practices in an integrated approach has not yet been witnessed in Pakistani SMEs due to a variety of challenges. To overcome the implementation challenges, this study has analyzed the impact of GLSS implementation over the sustainability in Pakistani SMEs.

This study consists of two phases. In phase 1, interviews were conducted to scrutinize the elements of GLSS implementation to simplify the model and in phase 2, a questionnaire survey was conducted to collect the data from the SMEs. The partial least squares structural equation modeling (PLS-SEM) approach is used to analyze the relationships among the latent variables and constructs.

Results showed that, leadership for GLSS, understanding GLSS techniques and technology upgradation are considered the most important elements for GLSS implementation in Pakistani SMEs. The environmental and social perspectives have been given more weightage compared to economical perspective. This inferred that there is a need to focus more on environmental and social perspectives in SMEs as compared to economic perspectives to achieve sustainable growth. Moreover, the results of the hypothesis testing revealed that GLSS implementation has a significant positive impact over the sustainability in SMEs considering the Pakistani scenario (β = 0.529, STDEV = 0.078, t = 6.81, p = < 0.001).

This study is the first of its kind for Pakistani SMEs. The structural model developed in this study for Pakistani SMEs will help practitioners to understand the important elements of GLSS implementation and sustainability dimensions.

The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies.

The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon.

The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets.

The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies.

The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.

This particular study examined the government bond price variations in order to determine the presence of excess volatility both at country and panel group level of BRICS countries context.

The study applied the autoregressive GARCH panel model approach proposed by Fakhry and Richter (2015) to evaluate the presence of excess volatility and then examined the diversification benefits. Further, the use of discrete wavelet transformation (DWT) has added the advantage to observe volatility across bonds along with potential diversification benefits by retaining information from the time and frequency domain perspective for both the maturities.

The main finding indicates that the excess volatility is present in BRICS countries at individual level i.e. in the case of Russia, India and China. However, the 10-year bond showing a less volatility compared to 5-year bond with the possibility of reaping out the benefits of diversification with international portfolio of sovereign bonds.

The main implication of the research is related to the non-perseverance of EMH as far sovereign bonds of BRICS countries are concerned as the results indicate presence of excess volatility in the 5-year and 10-year bond markets. However, the implicit behavior of 5-year bond could benefit the active fund managers and investors by taking an advantage of a reducing systemic risk through short-medium term investments.

This study contributes not only to the existing studies of similar nature by examining the excess volatility in bond markets but also taking account of co-moment of distinct maturities to confirm possible international diversification benefits for BRICS countries context.

Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.

The lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.

The MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m³ in 2001 to 16.73 million m³ in 2011 and further declined to 15.35 million m³ in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.

None of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.

Conventional theories of financial management are notably inconspicuous when considering the influence of heuristic-driven biases and fundamental and technical anomalies on institutional investors' investment decision-making performance and market efficiency, particularly, in emerging Asian economies. This study aims to explore the mechanism by which heuristic driven biases (i.e. cognitive heuristic biases and recognition-based heuristic biases) influence institutional investors' investment decision-making, investment performance and perceived market efficiency, with a mediating role of fundamental and technical anomalies and the moderating role of financial knowledge in Pakistan.

Data were collected through a survey completed by 180 institutional investors trading on the Pakistan Stock Exchange. Structural equation modeling was used to analyze the data and test the hypotheses.

The results suggest that heuristic-driven biases have a significant negative influence on perceived market efficiency and investment performance and a significant positive effect on investment decisions of institutional investors. Fundamental and technical anomalies appeared to mediate these relationships. The results also revealed that financial knowledge moderates these relationships.

This study pioneers research on the links among heuristic-driven biases, financial knowledge, fundamental and technical anomalies and institutional investors' decisions and performance. This adds to the understanding of the role that heuristic-driven bias plays in investment management activities and enhances the appreciation of various behavioral aspects and their influence on investment decision-making and performance in an emerging market. It also contributes to the literature on behavioral finance, specifically the role of heuristics in investment strategies, which is still in its initial stage in developed countries, let alone in developing countries. The current research contributes to the literature by defining heuristic-driven biases as antecedents and fundamental and technical anomalies as intervening variables for irrational investment decision-making and poor investment performance. In addition, this study underlines the significance of utilizing financial knowledge to manage the antecedents and repercussions of fundamental and technical anomalies.

This study examines the causal relationship between exports and economic growth in sub-Saharan African (SSA) countries during the period 1980 to 2017. The study also examines whether the causality between these two macroeconomic variables depends on the countries' stage of development as proxied by their per capita income.

The study uses a panel cointegration test and panel Granger-causality model to examine the link between exports and growth. The study also incorporates external debt as an intermittent variable in a bivariate setting between exports and economic growth, thereby creating a dynamic multivariate panel Granger-causality model.

Although the study found the existence of a long-run relationship between exports and economic growth, the study failed to find any export-led growth response in both low-income and middle-income countries. Instead, the study found evidence of a bidirectional causality and a neutrality response in middle-income and low-income countries, respectively. The study, therefore, concludes that the benefits of an export-led growth hypothesis may have been oversold, and that the strategy may not be desirable to some low-income developing countries.

These findings have important policy implications as they indicate that the causality between exports and economic growth in SSA countries varies with the countries' stage of development. Consistent with the contemporary literature, the study cautions low-income SSA countries against over-relying on an export-led growth strategy to achieve a sustained growth path as no causality between exports and economic growth has been found to exist in those countries. Instead, such countries should consider pursuing new growth strategies by building the domestic demand side of their economies alongside their export promotion strategies in order to expand the real sector of their economies. For middle-income countries, the study recommends that both export promotion strategies and pro-growth policies should be intensified as economic growth and exports have been found to reinforce each other in those countries.

Unlike the previous studies, the current study disaggregated the full sample of SSA countries into two subsets – one comprising of low-income countries and the other consisting of middle-income countries. In addition, the study uses a multivariate Granger-causality model in order to address the emission-of-variable bias. To our knowledge, this may be the first study of its kind in recent years to examine in detail the causal relationship between exports and economic growth in SSA countries using an ECM-based multivariate panel Granger-causality model.

本研究旨在探討在1980年至2017年期間撒哈拉以南非洲國家的出口、與其經濟增長之間的因果關係，亦探討這兩個宏觀經濟變量之間的因果關係、會否取決於有關國家所處以人均收入來衡量的發展階段。

本研究雖然發現出口與經濟增長存有一個長期性關係，唯未能於低收入國家或中等收入國家、找到任何出口帶動的增長反應。研究反而找到證據，證實中等收入國家為一雙向性因果關係反應，而低收入國家則為一中立性反應。因此，研究的結論是：出口必能帶動經濟增長這假設被過度吹噓，而且，對部份低收入發展中國家而言，實施以出口帶動經濟增長的策略或許是沒有用的。

本研究的結果在政策方面有其重要意義。這是因為研究結果顯示、於撒哈拉以南非洲國家、出口與經濟增長之間的因果關係，會因有關國家所處的發展階段而有所變更。與當代文獻一樣，本研究提醒低收入的撒哈拉以南非洲國家，不要過度依賴以出口帶動增長的策略來謀求踏上持續增長之路，這是因為在這些國家，出口與經濟增長之間的因果關係仍未確立。他們反而應考慮推行新增長經濟策略，方法是在實施推動出口的策略的同時，也要建立其經濟的國內需求面，以擴大其經濟實業部門。就中等收入國家而言，本研究建議他們應增強推動出口的策略及強化促進增長的政策，這是因為在這些國家裏，經濟增長及出口已被證實會互為增強。

有別於過去的研究，本研究把撒哈拉以南非洲國家的整體樣本分解為兩個子集：一個包括低收入國家，另一個則包括中等收入國家。而且、研究使用了多變量面板格蘭傑因果關係模型、以處理遺漏變數偏差的問題。據我們了解，這大概是近年首個同類研究、以基於歐洲共同市場多變量面板格蘭傑因果關係模型、來詳細探討於撒哈拉以南非洲國家、出口與經濟增長之間的因果關係。

This paper aims to explore the impact of corruption (CP) on income inequality (IN) by considering the size of informal sector (IFS) at different levels of percentiles.

This paper uses a panel quantile regression approach for a sample of 50 developing countries. The study also applies panel co-integration (Kao residual co-integration test) in order to examine the long-run relationship between CP and IN.

This paper using a panel quantile regression approach shows that the high incidence of IFS in an economy marginalizes CP's positive effect because it works as a source of poor peoples' livelihood and skillful individuals. The spread of IFSs in the developing economies may raise earnings among groups and individuals who remain unemployed. Moreover, the results show that CP creates asymmetry in income distribution; fascinatingly, the asymmetric income distribution is high when CP is at higher percentiles.

Due to non-availability of IFS, we restrict our analysis up to 50 developing countries.

CP devastates the effectiveness of institutions over time. Therefore, the government should have to take bold steps to reduce CP in society. Another policy implication of this study is that the government should reduce CP to decrease IN in less developing countries. Moreover, to increase the net base, the authorities need to bring IFS under the umbrella of regulation to avoid inequality in society. In developing economies, a higher part of labor force is related to IFS; therefore, our findings suggest a dire need to reduce labor exploitation in IFS. The policymakers can reduce labor exploitation by reducing the size of IFS, which ultimately reduces IN.

On the basis of the authors’ findings, this paper further suggests that it is mandatory for government to reduce CP in order to reduce IN. Moreover, to reduce IN, one needs to reduce the size of IFS.

This study is unique as it is the first that examined the role of IFS in establishing the effect of CP on IN for developing countries at different percentiles.

Rule of law is essential in reducing corruption in a country. This study aims to investigate the factors contributing to corruption in 41 of the most competitive countries in the Asia-Pacific region by focusing on judicial effectiveness, property rights and government integrity. The moderating role of regulatory quality was also considered in the attempt to explain the association among rule of law and corruption.

This study used pooled ordinary least squares regression and generalized method of moments-dynamic panel for the robustness test on data of 41 Asia-Pacific countries spanning from 2013 to 2021.

Property rights and government integrity were found to be negatively significant in explaining corruption. In contrast, the interaction between rule of law and regulatory quality had a significant positive association with corruption. The findings bring to light Asia-Pacific countries’ need for more effective control of corruption.

The authorities should work towards enhancing the countries’ image as corruption-free nations by creating a stable economic and political environment and preserving macroeconomic stability through strengthened rule of law.

Previous research looked at The Association of Southeast Asian Nations and South Asian countries, but little attention was given to Asia-Pacific countries in examining the relationship between rule of law and corruption.