The study seeks to evaluate the extent and quality of environmental reporting following a longitudinal analysis and covering a wide spectrum of industries in a single frame. The…
The study seeks to evaluate the extent and quality of environmental reporting following a longitudinal analysis and covering a wide spectrum of industries in a single frame. The study also attempts to identify the set of most favored environmental reporting items by firms and items which are least disclosed. Furthermore, the study attempts to test whether certain corporate attributes such as firm size, age of the firm, leverage ratio, profitability, presence of independent directors in the board and gender diversity have any influencing power over environmental disclosure practices. The whole study has been carried out from legitimacy theory setting.
The study follows longitudinal analysis to identify the extent and quality of environmental disclosures. A self-constructed checklist of 12 environmental reporting items has been developed analyzing the annual report and content analysis method is followed to measure the extent and quality of environmental disclosures and identify environmental reporting items which are mostly disclosed and which are least disclosed. The study further uses panel data regression analysis to investigate whether certain corporate attributes have any impact on environmental disclosures using multiple linear regression. Total of 345 annual reports of listed financial and nonfinancial institutions have been observed in this study ranging from 2015 to 2019.
The key finding suggests that strict enforcement of Green Banking Rules 2011 fosters country’s commercial banks to invest more to protect the environment and commercial banks encourage nonfinancial institutions for environmental performance and related disclosures through finance. Therefore, almost 50% of sample firms disclose their environmental performance through reporting in either narrative, quantitative or monetary format which was only 2.23% in the last decade. Findings also reveal that tree plantation is the most reported environment disclosure followed by investment in renewable energy and green infrastructural projects and the least reported items are fund allocation for climatic changes and carbon management policy. Further analysis shows that firm size and leverage ratio both have positive impact on environmental reporting.
An in-depth analysis may be conducted to identify why certain environmental items are least disclosed such as fund allotment for climatic changes, carbon management policy, etc. and how corporations may earn social appreciation and motivation by investing in those least preferred items in legitimacy theory setting. Future research may also take into consideration other corporate attributes which are not considered in the study.
The study conducted an in-depth analysis to understand the most favored form of environmental disclosures (narrative/quantitative/monetary) and their extent after incorporation of regulatory guidelines, which is the first of its kind in the research of environmental disclosures. The study indeed contributes to the documentation of environmental reporting in the context of a developing country where there is a lack of longitudinal analysis from the lens of legitimacy theory. Moreover, a wide spectrum of industries has been taken into consideration which facilitates the generalized findings on the environmental disclosure practices of corporations in Bangladesh.
研究使用內容分析法、去測量環境信息披露的程度和質量。研究使用多元回歸分析、去探討企業屬性對環境信息披露的影響。研究涵蓋孟加拉國上市公司共345個年度報告, 涵蓋的年期為2015年至 2019年。
研究結果似乎顯示綠色金融規則 - 2011 、成功鼓勵機構為保護環境而投放更多資源; 機構最樂於匯報的項目為植樹, 而披露最少的則為氣候變化和碳管理政策。進一步的研究分析顯示, 公司的規模和杠杆比率均會對環境匯報帶來正面的影響。
本研究豐富了關於發展中國家環境匯報的官方文件記錄, 而在這類國家, 透過合法化理論而進行的縱貫性分析研究頗為缺乏。本研究以深度分析法、去瞭解環境信息披露方面最受青睞的信息披露方式 (故事形式的敘述/定量形式/金融形式), 也去瞭解納入強制的規管指引後環境信息披露的程度; 就此而言, 本研究為這類環境信息披露研究的首個研究。
The purpose of this research is to assess the tax stakeholders’ intention towards the adoption of blockchain technology (BT) for a transparent and effective taxing system in…
The purpose of this research is to assess the tax stakeholders’ intention towards the adoption of blockchain technology (BT) for a transparent and effective taxing system in Bangladesh. It examines the factors influencing the behavioural intention of the users to adopt BT with a blended model built on the technology acceptance model (TAM) and self-determination theory (SDT). This research develops a prescriptive model to demonstrate how the stakeholders are interested in adopting BT for the taxing system.
Data were obtained through a structured questionnaire from the stakeholders of the taxing system, including tax policymakers, tax commissioners, tax officers, lawyers, tax consultants and the taxpayers. Statistical analyses were performed using partial least square-structural equation modelling.
Results reveal that out of the two primary TAM antecedents known as usefulness (PU) and ease of use (PEU), PU has a significant influence on the BT adoption intention. The only cognitive variable called autonomous motivation picked from SDT has a positive and significant impact on BT adoption for tax purpose as well. Finally, trust is found to be another important determinant for explaining stakeholders’ intention to adopt BT for an efficient taxing system where transparency can be ensured.
The proposed model does not include any moderator though there might be a moderating effect in this regard. The variation described in the behavioural intention to adopt BT by the predictors is half of the total possible variations. Hence, the inclusion of variables such as social influence and controlled motivation could be interesting.
This study is expected to provide valuable insights into policymaking for tax administrations to enhance the tax collection net and maintain transparency and efficiency in the taxing system.
This research has social consequences for a recently graduated developing economy such as Bangladesh, where transparency and efficiency are a matter of question. Because BT adoption can assure a convenient and favourable environment for the taxpayers upholding the principles of taxation, it can play a significant role by ensuring social justice and equity through a transparent and effective taxing system.
This research is among the first few studies to address the issue of implementing a modern technology such as BT for an efficient taxing system from a developing country perspective. Furthermore, it combined TAM and SDT to propose a hybrid model for explaining behavioural intention to adopt an emerging technology such as blockchain, which is a new phenomenon.