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Contingency & chi square observation

Contingency & chi square observation

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Purpose: The purpose of this research article is to assess what information should be connected and how its information can be connected based on integrated thinking fit within integrated reporting into information system of regional investment potential (ISRIP) of regional government. To develop insight into how it can be implemented over changes...

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... calculating the value of the Pearson contingent coefficient (C = √XO2/(N + XO2). Based on the data in Table 5 (appendix-Contingency & chi square observation), the value of C = √ 137.97/(700 + 137.97) is obtained = 0.4057. Referring to Guilford's empirical rule, it shows that the C-contingency value is a bounded association coefficient between 0 <1, where: 0 = no association/relationship, and 1 = perfect association/relationship. ...

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... Amidst bourgeoning literature on water-energy conservation and financial performance, there is an apparent paucity of literature on the effect of energy and water resources conservation on corporate revenue and equity with a moderating effect of Black Economic Empowerment, hence this paper contributes by developing a model in sustainability accounting literature specifically related to Southern Africa. This focal area aligns with the literature, which highlights the importance of alignment management goals and action with sustainable development imperatives [12]. ...
Article
Objective – The purpose of this research article is to assess how the integrated reporting is implemented into a regional investment information system (RIIS). Within build insight into regional investment management in line with sustainable development goals (SDGs). Methodology –This research was conducted on local governments in Indonesia that have implemented RIIS. Using data from 115 respondents, consisting of elements of local government, academics, business entities, NGOs, social organizations, and care for the environment. The measurement uses a nominal scale with a chi-square test for goodness of fit. Findings – The measurement results showed the frequency of observation (OF) has a value of 52.5504 with the chi-square table showing a value of 37.65. Based on this result showed OF > EF, it is evidence for being of corresponding between integrated thinking that fits with . The level of relationship towards SDGs information communication has a Pearson correlation coefficient of 0.2894, as a low relationship. Novelty – This research article contributes practical implications where regional government entities to be effective implementers of practices for communication for regional investment management. As an insight in the viewing the growing debate on the merits of as a voluntary reporting initiative including for the local government sector, which has been adopted by other organizations as a mandatory initiative. The results of this research provide a fundamental way for a regional investment strategy that facilitates communication of the achievement of the SDGs in a global context. Type of Paper: Empirical JEL Classification: M40, M9. Keywords: integrated thinking, integrated reporting, regional investment information system, sustainable development goals Reference to this paper should be made as follows: Hifni, S; Sayudi, A; Wijaya, R. (2022). Integrated Reporting For Regional Investment and Achievement of Sustainable Development Goals, J. Fin. Bank. Review, 7(1), 71 – 85. https://doi.org/10.35609/jfbr.2022.7.1(5)