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1 – 4 of 4This chapter provides a brief overview of community sanctions in Australia and examines the extent to which McNeill’s analysis in Pervasive Punishment (2019) is applicable in the…
Abstract
This chapter provides a brief overview of community sanctions in Australia and examines the extent to which McNeill’s analysis in Pervasive Punishment (2019) is applicable in the Australian context. Two key issues in the Australian context are, firstly, state and territory-level variations within a federal political structure, and secondly, disproportionate Indigenous imprisonment and community sanction rates and the generally destructive impact of the criminal legal system on Indigenous communities and peoples. The chapter argues that developing a better agonistic politics around community sanctions requires descending from the broad level of historical and sociological analysis to examine state and territory-level variations in judicial and correctional structures, histories and cultures. Further, that Australian community sanctions cannot be understood without a primary focus on the differences between Indigenous and non-Indigenous rates, experiences and meaning. The key to addressing the destructive impact of criminal legal processes and practices on Indigenous peoples lies in developing Indigenous governance, empowerment, self-determination, sovereignty and nation-building. Two recent developments promoting Indigenous governance are examined: the Uluru Statement from the Heart and Justice Reinvestment projects initiated by First Nations communities, highlighting the importance of activism, contest and struggle by community organisations.
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Sara Lafia, David A. Bleckley and J. Trent Alexander
Many libraries and archives maintain collections of research documents, such as administrative records, with paper-based formats that limit the documents' access to in-person use…
Abstract
Purpose
Many libraries and archives maintain collections of research documents, such as administrative records, with paper-based formats that limit the documents' access to in-person use. Digitization transforms paper-based collections into more accessible and analyzable formats. As collections are digitized, there is an opportunity to incorporate deep learning techniques, such as Document Image Analysis (DIA), into workflows to increase the usability of information extracted from archival documents. This paper describes the authors' approach using digital scanning, optical character recognition (OCR) and deep learning to create a digital archive of administrative records related to the mortgage guarantee program of the Servicemen's Readjustment Act of 1944, also known as the G.I. Bill.
Design/methodology/approach
The authors used a collection of 25,744 semi-structured paper-based records from the administration of G.I. Bill Mortgages from 1946 to 1954 to develop a digitization and processing workflow. These records include the name and city of the mortgagor, the amount of the mortgage, the location of the Reconstruction Finance Corporation agent, one or more identification numbers and the name and location of the bank handling the loan. The authors extracted structured information from these scanned historical records in order to create a tabular data file and link them to other authoritative individual-level data sources.
Findings
The authors compared the flexible character accuracy of five OCR methods. The authors then compared the character error rate (CER) of three text extraction approaches (regular expressions, DIA and named entity recognition (NER)). The authors were able to obtain the highest quality structured text output using DIA with the Layout Parser toolkit by post-processing with regular expressions. Through this project, the authors demonstrate how DIA can improve the digitization of administrative records to automatically produce a structured data resource for researchers and the public.
Originality/value
The authors' workflow is readily transferable to other archival digitization projects. Through the use of digital scanning, OCR and DIA processes, the authors created the first digital microdata file of administrative records related to the G.I. Bill mortgage guarantee program available to researchers and the general public. These records offer research insights into the lives of veterans who benefited from loans, the impacts on the communities built by the loans and the institutions that implemented them.
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Research on the significance of corporate social responsibility (CSR) and value creation is nascent as compared to CSR and financial performance. The concept of value is also…
Abstract
Purpose
Research on the significance of corporate social responsibility (CSR) and value creation is nascent as compared to CSR and financial performance. The concept of value is also evolving because of changing business environments, globalization and the expanded idea of CSR. Nowadays, managers expect a more quick, pragmatic approach to satisfy valid stakeholder claims while simultaneously creating competitive advantage through reputation and investor value. The paper aims to examine the impact of CSR on the market and sustainable value creation through CSR expenditure in India and the moderating role of pressure-sensitive institutional investors (PSII).
Design/methodology/approach
The study used panel data regression methodology on a sample of 1,845 non-financial Indian firms from 2015 to 2021.
Findings
CSR creates market and sustainable value for non-financial Indian firms in line with stakeholder theory. The authors find a positive moderating role of governance represented by PSII on CSR and market value creation but not on sustainable value.
Research limitations/implications
The study is based on secondary data. CSR, despite being a regulatory obligation, provided long-term benefits that increased their sustainable growth rate. The results highlight the importance given by financial markets to CSR activities. Other types of institutional investors can also be examined in future research. CSR can be embedded in the core operations of the firm, which can help in fostering a culture of sustainability and responsible business practices that benefit firms and society as a whole. Tax incentives can be provided to firms investing in CSR.
Practical implications
CSR provides long-term benefits to the firm, which enhances the goodwill and integrity of the firm in the market. The results reveal that besides capital market investors, firms are subject to the scrutiny of consumers, communities and the government as expectations rise and information spreads faster, which can have repercussions. CSR helps in meeting such expectations and the perceived value of the firms. Managers and chief executive officers (CEOs) can pay attention to the type of institutional investors like PSII, which can be formed as a part of the firm’s CSR strategy.
Social implications
The positive impact of CSR on sustainable value expresses a long-term management orientation based on the improvement of stakeholder relations and the associated environmental impacts referring to cohesion and consensus, market opportunities and strengthened reputation and image. A sustainable company involves a conscious and continuing effort in the equilibrium between contrasting stakeholders’ expectations in an attempt to optimize value creation. Tax exemption can be provided for CSR activities.
Originality/value
The authors contribute to the scant literature on CSR and value creation, especially sustainable value, as most of the prior studies are not empirical on sustainable value in the Indian context. Managers and CEOs can pay attention to the types of institutional investors like PSII, which can be formed as a part of the firm’s strategy.
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Elyas Abdulahi Mohamued, Muhammad Asif Khan, Natanya Meyer, József Popp and Judit Oláh
This study aims to analyse the efficiency effects of institutional distance on Chinese outward foreign direct investment (FDI) in Africa.
Abstract
Purpose
This study aims to analyse the efficiency effects of institutional distance on Chinese outward foreign direct investment (FDI) in Africa.
Design/methodology/approach
The study utilised the true fixed-effect stochastic frontier analysis (SFA) model. Data from 2003 to 2016 (14 years) were acquired from 42 targeted African countries, which are included in the analysis.
Findings
The results reveal that FDI flow efficiency can be maximised with a high institutional distance between China and African countries. Contrariwise, comparable institutional distance, measured by the rule of law, regulatory quality and government effectiveness between the host and home countries, reflected a significant positive impact for Chinese outward foreign direct investment (OFDIs), indicating Chinese MNEs can invest directly in a country with comparable institutional characteristics.
Originality/value
There have been limited exceptional studies that assessed the effect of institutional distance between emerging countries. However, none of these studies investigated the effect of institutional distance between China and Africa at a national level. Using the advantage of the SFA model, this study assesses the efficiency effects of institutional distance between the host and home country.
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