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\textcolor{GJBlue}{\large\bfseries\abstractname\space} }{% \vskip8pt \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}} \vskip16pt } \usepackage[absolute,overlay]{textpos} \makeatother \usepackage{lineno} \linenumbers \begin{document} \author[1]{Dr. Shakhawat Hossain Sarkar} \author[2]{Sabuj Chandra Bhowmik} \author[3]{Dr. Mohammed Hider Ali Miah} \affil[1]{ Jatiya Kabi Kazi Nazrul Islam University} \renewcommand\Authands{ and } \date{\small \em Received: 6 December 2018 Accepted: 5 January 2019 Published: 15 January 2019} \maketitle \begin{abstract} The objective of recording and reporting of financial transactions in government and non-profit organization is to make sure good governance through ensuring transparency, accountability, reliability, and fairness on dealing of public money. By using primary sources of data, this study strives to appraise the practices of recording and reporting of financial transactions of public universities in Bangladesh. To ascertain the financial reporting compliance practices dichotomous procedure used. Statistical results report that most of the public universities under the study follow cash basis of accounting, prepared receipts and payments accounts, and bank reconciliation statement. All of the universities maintain payment voucher, the majority of the universities doesn?t value and record fixed assets and, half of them don?t prepare debt receipts and payments account. Financial Reporting Compliance Index (FRCI) of public universities under the study is satisfactory (78.10) but not outstanding. Statistical results testimony that there is a significant relationship between universities? size and FRCI, and financial activities of universities and FRCI but there is no significant relationship between university category and FRCI. The regression model can explain 61.8 percent of total variation by R2 and 50.3 percent of total variation by AdjR2. To ensure good governance in the public sector government should take the initiative to establish an accounting standard-setting organization for public bodies like Institute of Chartered Accountants of Bangladesh. It is needed to introduce accrual basis of accounting in the public sector to ascertain the financial performance and determine the financial position of the public bodies like Sri Lanka, Australia, New Zealand, and the United Kingdom. \end{abstract} \keywords{financial reporting, financial reporting compliance index (FRCI), public universities, bangladesh.} \begin{textblock*}{18cm}(1cm,1cm) % {block width} (coords) \textcolor{GJBlue}{\LARGE Global Journals \LaTeX\ JournalKaleidoscope\texttrademark} \end{textblock*} \begin{textblock*}{18cm}(1.4cm,1.5cm) % {block width} (coords) \textcolor{GJBlue}{\footnotesize \\ Artificial Intelligence formulated this projection for compatibility purposes from the original article published at Global Journals. However, this technology is currently in beta. \emph{Therefore, kindly ignore odd layouts, missed formulae, text, tables, or figures.}} \end{textblock*} \let\tabcellsep& \section[{Introduction}]{Introduction}\par overnmental accounting is the system of official financial reporting of governmental and nonprofit organizations. The main objective of public sector accounting is to protect the money as a trustee and ensure transparency and accountability. Public and government universities run with the budget provided by the government and a little share of internal sources collected through tuition, fees, etc. from the students. To ensure the proper utilization of the budget apposite and latest accounting methods need to introduce for transparency, accountability, and good governance. The above circumstances insist to discover the existing accounting systems used in the government organization especially in public universities of Bangladesh. The study is an attempt to achieve the goal. \section[{a) Literature Review}]{a) Literature Review}\par Accounting and reporting is a part of financial control in the public sector. A budget as a control mechanism has some role compared to the private . Government accounting and financial reporting aim to protect and manage public money and discharge accountability \hyperref[b0]{(Chan, 2003)}. Supporters of the shift to accrual accounting argue that a range of significant benefits is available to governments which move from the cash to the accrual basis of accounting \hyperref[b12]{(Wynne, 2008)}. The standard setters and accounting professionals firmly believe that well presented financial reports act as a 'sine-qua-non' to the proper functioning of a developing economy like Bangladesh . Developments in governmental activities in recent years have raised concerns over whether the cash basis of accounting is sufficient for accounting and reporting \hyperref[b7]{(Rayegan, Parveizi, Nazari, \& Emami, 2012)}. Accrual accounting practices in the private sector and cash accounting practices in the public sector are unconsciously institutionalized. However, in the recent past the Association of Public Finance Accountants of Sri Lanka, which became the public sector wing of the Institute of Chartered Accountants of Sri Lanka in 2012, has initiated accrual accounting practices to the public sector in the country \hyperref[b6]{(Nagendrakumar, Fonseka, \& Dissanayake, 2015)}. Almost all the public enterprises prepare their financial statements based on the information determined by them which conform to the accrual basis and double entry system of accounting \hyperref[b4]{(Hossain, 2012)}. The Office of the Comptroller and Auditor General (CAG) of Bangladesh has been working since independence to make the government more transparent and accountable in utilizing public resources. The powers and mandate of the CAG lie in the Constitution of the Peoples Republic of Bangladesh \hyperref[b3]{(Hakeem, 2012)}. Actual expenditure has exceeded the revised budget of public universities. Lack of disclosure on excess over budgeted expenditure and nonuse of budget manual is a clear indication of poor governance \hyperref[b9]{(Sarkar, Hossain, \& Rahman, 2014)}. The purpose of prudent public sector financial management is to manage the public financial resources with the economy, efficiency, and effectiveness \hyperref[b3]{(Hakeem, 2012)}. From the above-reviewed literature it is found that some research works have conducted in the field of public accounting reforms, public sector accounting and governance, allocation and utilization of budget in public universities, etc. There is a scope of research in the area of recording and reporting of financial transactions at public universities in Bangladesh. That's why the present study attempts to fill in this gap. \section[{b) Justification}]{b) Justification}\par Government as a whole as well as its different ministries, departments, and corporations have involvement with financial activities. The main source of the finance is tax and non-tax revenue collected from the citizen of the country. So it is an issue to ensure the proper and appropriate use of the fund.\par The study has both theoretical and practical values, and it is important for several reasons. First, the research shall rich the existing stock of knowledge in the field of government accounting. Second, the findings of the study would help the policy planners to take suitable policy measures to get benefits from practicing appropriate accounting to ensure accountability, transparency, and reliability of the financial reporting of the public universities. \section[{c) Objectives}]{c) Objectives}\par i. To examine the existing accounting systems of public universities in Bangladesh; ii. To focus on the ways of upgrading the accounting and financial reporting of public universities in Bangladesh. \section[{d) Methodology}]{d) Methodology}\par This section presents the source and collection of data, information items included in the FRCI, Scoring in the FRCI and analysis of data, dependent variables, explanatory variables and hypotheses, multiple regression models.\par The research was empirical research based on both primary and secondary sources of data. The population for the study was considered top and midlevel officials of public universities engaged with the maintenance of accounts and preparation of financial reports. There were 37 public universities in Bangladesh, where four universities' (BSMRMU, BOU, NU, and IAU) nature of activities are dissimilar with all others. To generalize, the researcher has excluded four universities from the study. The population includes one relevant official from each university. So the population size for the study was 33. According to Krejci \& Morgan table (1970 cited in KENPRO) for determination of sample size of finite population, the study required a sample size 30 (32 if population size is 35). To collect data from primary source, 30 questionnaires were distributed among the targeted officials of 30 public universities. Out of them, 14 respondents were returned the questionnaire with their valuable opinions. So the sample size of the study is 14. Some secondary sources of data were also collected through the review of related literature.\par The major task of the present research is to develop a suitable compliance index comprising items of financial accounting information that are expected to include for accounting and preparation of financial reports. To find out financial reporting practices scenario, 15 items selected through reviewing related literature (Appendix-1).\par To compute financial reporting compliance score (FRCS), the researcher followed a dichotomous procedure and awarded each of the compliance information items with a score of '1'. However, it would be applicable if the university appeared to comply with the item, otherwise it would be '0'. The total score of each university obtained through accumulating the score of all compliance information items of the university as follows:FRCS= ? di ?? ??=1\par Where, d= 1 if the item d i is complied d= 0 if the item d i is not complied n= number of items FRCI computed by using the following formula: II.FRCI = FRCS of \section[{Results and Discussion}]{Results and Discussion}\par In this section, data was analyzed and discussed the results. The section divided into two parts. In the first part, existing accounting systems of the sample universities presented. In the second part, a regression model was developed for the study problem. \section[{a) Existing Accounting Systems in Universities}]{a) Existing Accounting Systems in Universities}\par Here it is emphasized on the analysis and interpretation of a different aspect of accounting and financial reporting of public universities in Bangladesh. \section[{i. Basis of Accounting}]{i. Basis of Accounting}\par Table-2 testimony that most of the public universities (71.4 percent) under the study are followed cash basis of accounting whereas a minor portion (28.6 percent) of public universities is followed modified accrual basis of accounting to record accounting transactions. According to the World Bank (2007), Bangladesh does not comply with the International Public Sector Accounting Standards (IPSAS) cash basis. Pure government departments use cash basis accounting but, state-owned enterprises use accrual accounting like the private sector . ii. Voucher Maintained Table-3 indicates that all of the public universities (100 percent) under the study are prepared expenditure voucher, 71.4 percent prepared income voucher and, 85.7 percent of them are adjustment voucher to record accounting transactions. \section[{iv. Financial Statements}]{iv. Financial Statements}\par Table-5 demonstrates that most of the public universities (92.9 percent) under the study prepared receipts and payments account, and bank reconciliation statement. According to the World Bank (2007), statement of cash receipts and payments is presented in the formats inconsistent with the IPSAS. Income and expenditure account prepared only half (50 percent) of the universities under the study. The balance sheet do not prepare by any university. Wilson, Reck, and Kattelus (2010) suggested that public colleges and universities required to the prepare statement of net assets, the revenues, expenses, and change in net assets, and the statement of cash flows. \section[{v. Software used to Maintain Accounts}]{v. Software used to Maintain Accounts}\par Table-6 reveals that all of the agricultural universities (100 percent), most of the general universities (75 percent), and the majority of engineering (67 percent), and science and technology (60 percent) universities under the study are used software to maintain accounts. In the era of globalization and technological development, it is annoying. \section[{viii. Descriptive Statistics of FRCI}]{viii. Descriptive Statistics of FRCI}\par Evident from table-9, mean FRCI is 78.10 which is a satisfactory index, but there is a high deviation of FRCI among the universities as high standard deviation (7.13) and a large volume of range (20). The variation implies that the mean is not able to represent the overall scenario due to the high standard deviation of FRCI among the universities. Statistical results indicate that though mean index is satisfactory, but it's not the scenario for some universities under the study. Some universities are not up to the mark regarding practices of financial reporting. \section[{b) Results of Regression Model}]{b) Results of Regression Model}\par In table-13 the estimated value for University category is .955, and its t-value is .726 with p-value is 0.485, the universities size is -0.007 and its t-value is -2.243 with p-value is 0.049, and the universities financial activities is .267 and its t-value is 2.890 with p-value is 0.016. Although universities' size and activities are significant at 5 percent levels of significance, the university category is insignificant at the same significant level. The variance inflation factor (VIF) values for all three independent variables are less than five which indicate that the data is free from multi-collinearity. Upon review of the correlation matrix (table-13), the highest value is 0.276 which is much lower than 0.7±.1. The result of correlation matrix testimony that there is no variable with a higher correlation in the data set. The Durban Watson test statistics value (table-11) is 2.326 which are in a normal range of 1.5 to 2.5 {\ref (Field, 2009)}. So the statistical result suggested that there is no autocorrelation. The histogram indicates that the data set are normally distributed. The R 2 value for this model is 0.618, and AdjR 2 value is 0.503 {\ref (table-11)}. Therefore, the predictor variables can explain about 61.8 percent of the total variation by R 2 and about 50.3 percent of the total variation by AdjR 2 . \section[{Conclusion}]{Conclusion}\par The objective of public sector accounting is to ensure proper utilization of resources for earmarked purposes as well as maintain transparency, accountability, reliability, and fairness. Bangladesh is at the developing stage of increasing transparency of accounting information in the government sector. The objective of the study is to find out the practices of accounting recording and reporting of public universities in Bangladesh. A dichotomous procedure was used to measure the compliance index of recording and reporting of financial transactions. Both descriptive and inferential statistical analysis made through SPSS. Half of the universities under the study is not prepared income and expenditure account though GASB guidelines suggested preparing the statement of revenue, expenditure and changes in net assets. A mentionable part of the universities under the study is not valued fixed assets and maintain the record of fixed assets though GASB 34 suggested maintaining the record of fixed assets. On the other hand, the same scenario in the case of debt receipts and payments account. FRCI (78.10) is satisfactory but not outstanding in public universities of Bangladesh. There is a deviation of FRCI among the universities under the study. Regression result discovered that the predictor variables could explain about 61.8 percent of total variation by R 2 and about 50.3 percent of total variation by AdjR 2 . The above results lead to the conclusion that there is a significant relationship between universities' size and FRCI, and between financial activities of universities and FRCI but there is no significant relationship between university category and FRCI. Thus, the hypothesis H1 and H2 rejected, and H3 accepted at 5 percent level of significance. Considering related and relevant literature, and analyses and discussions, finally it is suggested to prepare books of account and financial reporting of public universities based on international standards.\begin{figure}[htbp] \noindent\textbf{1} \par \begin{longtable}{P{0.8438046647230321\textwidth}P{0.006195335276967929\textwidth}} Individual University Maximum Possible Score Obtainable\tabcellsep × 100\\ \multicolumn{2}{l}{For effective and easily understandable results,}\\ \multicolumn{2}{l}{the researcher has used descriptive statistics like}\\ \multicolumn{2}{l}{frequency, percentile, mean, SD and inferential statistics}\\ \multicolumn{2}{l}{like multiple linear regressions. He has analyzed data}\\ \multicolumn{2}{l}{through SPSS (Statistical Packages for Social Science)}\\ version 20.\tabcellsep \\ \multicolumn{2}{l}{FRCI, as a dependent variable, has been}\\ \multicolumn{2}{l}{developed for each of the universities studied. Three}\\ \multicolumn{2}{l}{corporate attributes, considered as independent}\\ \multicolumn{2}{l}{variables, are the size (proxied by the seat at undergrad}\\ \multicolumn{2}{l}{program), financial activities (proxied by revenue budget}\\ \multicolumn{2}{l}{size), and university category. The following three}\\ hypotheses were developed to test the results.\tabcellsep \end{longtable} \par \caption{\label{tab_0}Table 1 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{2} \par \begin{longtable}{P{0.5173913043478261\textwidth}P{0.14782608695652172\textwidth}P{0.18478260869565216\textwidth}} Categories\tabcellsep Frequency\tabcellsep Percent\\ Cash Basis\tabcellsep 10\tabcellsep 71.4\\ Modified Accrual Basis\tabcellsep 4\tabcellsep 28.6\end{longtable} \par {\small\itshape [Note: Source: Analysis of Primary Data.]} \caption{\label{tab_1}Table 2 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{3} \par \begin{longtable}{P{0.5345360824742268\textwidth}P{0.13144329896907217\textwidth}P{0.18402061855670104\textwidth}} Categories\tabcellsep Frequency\tabcellsep Per cent\\ Income Voucher\tabcellsep 10\tabcellsep 71.4\\ Expenditure Voucher\tabcellsep 14\tabcellsep 100.0\\ Adjustment Voucher\tabcellsep 12\tabcellsep 85.7\end{longtable} \par \caption{\label{tab_2}Table 3 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{4} \par \begin{longtable}{P{0.5746478873239437\textwidth}P{0.09178403755868544\textwidth}P{0.1835680751173709\textwidth}} Categories\tabcellsep Frequency\tabcellsep Per cent\\ Cash Book\tabcellsep 14\tabcellsep 100.00\\ Ledger\tabcellsep 14\tabcellsep 100.00\\ Cheque Issue Register\tabcellsep 14\tabcellsep 100.00\\ Income Tax Register for Contractor\tabcellsep 14\tabcellsep 100.00\\ Budget Register\tabcellsep 13\tabcellsep 92.9\\ Advance Register\tabcellsep 14\tabcellsep 100.00\\ Income Tax Register for Employees\tabcellsep 10\tabcellsep 71.4\end{longtable} \par {\small\itshape [Note: Source: Analysis of Primary Data.]} \caption{\label{tab_3}Table 4 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{5} \par \begin{longtable}{P{0.6360544217687075\textwidth}P{0.08673469387755102\textwidth}P{0.1272108843537415\textwidth}} Categories\tabcellsep Frequency\tabcellsep Per cent\\ Receipts and Payment Account\tabcellsep 13\tabcellsep 92.9\\ Income and Expenditure Account\tabcellsep 7\tabcellsep 50.0\\ Bank Reconciliation Statement\tabcellsep 13\tabcellsep 92.9\\ Balance Sheet\tabcellsep 0\tabcellsep 00\end{longtable} \par {\small\itshape [Note: Source: Analysis of Primary Data.]} \caption{\label{tab_4}Table 5 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{6} \par \begin{longtable}{P{0.5105937136204889\textwidth}P{0.09499417927823049\textwidth}P{0.1058789289871944\textwidth}P{0.07916181606519208\textwidth}P{0.05937136204889406\textwidth}} Year 2019\tabcellsep \tabcellsep \tabcellsep \\ ( )\tabcellsep \tabcellsep \tabcellsep \\ Category of University\tabcellsep \multicolumn{3}{l}{Software is used to Maintain Accounts Yes No}\tabcellsep Total\\ General\tabcellsep 3.0 (75\%)\tabcellsep \tabcellsep 1.0 (25\%)\tabcellsep 4.0 (100\%)\\ Engineering\tabcellsep 2.0 (67\%)\tabcellsep \tabcellsep 1.0 (33\%)\tabcellsep 3.0 (100\%)\\ Science and Technology\tabcellsep 3.0 (60\%)\tabcellsep \tabcellsep 2.0 (40\%)\tabcellsep 5.0 (100\%)\\ Agricultural\tabcellsep \multicolumn{2}{l}{2.0 (100\%)}\tabcellsep 0 (0\%)\tabcellsep 2.0 (100\%)\\ Total\tabcellsep \multicolumn{2}{l}{10.0 (71\%)}\tabcellsep 4.0 (29\%)\tabcellsep 14.0(100\%)\\ \tabcellsep \tabcellsep \tabcellsep \multicolumn{2}{l}{Source: Analysis of Primary Data.}\\ \multicolumn{2}{l}{vi. Valuation of Fixed Assets Table-7 demonstrates that most of the}\tabcellsep \multicolumn{3}{l}{infrastructure assets. So valuation and recording fixed assets is must fulfill the requirement of GASBS 34.}\\ \multicolumn{2}{l}{engineering (67 percent), and science and technology}\tabcellsep \tabcellsep \\ \multicolumn{2}{l}{(60 percent) universities under the study are valued fixed}\tabcellsep \tabcellsep \\ \multicolumn{2}{l}{assets, only one-fourth of general universities are}\tabcellsep \tabcellsep \\ \multicolumn{2}{l}{maintained the same. No agricultural universities}\tabcellsep \tabcellsep \\ \multicolumn{2}{l}{maintain the value of fixed assets. Governmental}\tabcellsep \tabcellsep \\ \multicolumn{2}{l}{Accounting Standards Board Statement (GASBS) 34}\tabcellsep \tabcellsep \\ \multicolumn{2}{l}{suggested to depreciating other than inexhaustible or}\tabcellsep \tabcellsep \end{longtable} \par {\small\itshape [Note: D]} \caption{\label{tab_5}Table 6 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{7} \par \begin{longtable}{P{0.21661290322580642\textwidth}P{0.23854838709677417\textwidth}P{0.2303225806451613\textwidth}P{0.16451612903225807\textwidth}} Category of University\tabcellsep \multicolumn{2}{l}{Value of Fixed Assets is Recorded Yes No}\tabcellsep Total\\ General\tabcellsep 1.0 (25\%)\tabcellsep 3.0 (75\%)\tabcellsep 4.0 (100\%)\\ Engineering\tabcellsep 2.0 (67\%)\tabcellsep 1.0 (33\%)\tabcellsep 3.0 (100\%)\\ Science and Technology\tabcellsep 3.0 (60\%)\tabcellsep 2.0 (40\%)\tabcellsep 5.0 (100\%)\\ Agricultural\tabcellsep 0 (0\%)\tabcellsep 2.0 (100\%)\tabcellsep 2.0 (100\%)\\ Total\tabcellsep 6.0 (43\%)\tabcellsep 8.0 (57\%)\tabcellsep 14.0(100\%)\\ \tabcellsep \tabcellsep \multicolumn{2}{l}{Source: Analysis of Primary Data.}\end{longtable} \par {\small\itshape [Note: vii.]} \caption{\label{tab_6}Table 7 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{8} \par \begin{longtable}{P{0.22996575342465755\textwidth}P{0.2910958904109589\textwidth}P{0.15136986301369862\textwidth}P{0.17756849315068493\textwidth}} \tabcellsep \multicolumn{2}{l}{Debt Receipts and Payments}\tabcellsep \\ Category of University\tabcellsep \multicolumn{2}{l}{Account is Maintained}\tabcellsep Total\\ \tabcellsep Yes\tabcellsep No\tabcellsep \\ General\tabcellsep 1.0 (25\%)\tabcellsep 3.0 (75\%)\tabcellsep 4.0 (100\%)\\ Engineering\tabcellsep 2.0 (67\%)\tabcellsep 1.0 (33\%)\tabcellsep 3.0 (100\%)\\ Science and Technology\tabcellsep 3.0 (60\%)\tabcellsep 2.0 (40\%)\tabcellsep 5.0 (100\%)\\ Agricultural\tabcellsep 1.0 (50\%)\tabcellsep 1.0 (50\%)\tabcellsep 2.0 (100\%)\\ Total\tabcellsep 7.0 (50\%)\tabcellsep 7.0 (50\%)\tabcellsep 14.0 (100\%)\end{longtable} \par {\small\itshape [Note: Source: Analysis of Primary Data.]} \caption{\label{tab_7}Table 8 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{9} \par \begin{longtable}{P{0.5855555555555555\textwidth}P{0.2644444444444444\textwidth}} Mean\tabcellsep 78.10\\ Maximum\tabcellsep 86.67\\ Minimum\tabcellsep 66.67\\ Range\tabcellsep 20.00\\ Standard Deviation\tabcellsep 7.13\\ Standard Error of\tabcellsep 1.91\\ Mean\tabcellsep \end{longtable} \par {\small\itshape [Note: Source: Analysis of Primary Data.]} \caption{\label{tab_8}Table 9 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{10} \par \begin{longtable}{P{0.41484641638225256\textwidth}P{0.12474402730375425\textwidth}P{0.06382252559726963\textwidth}P{0.0667235494880546\textwidth}P{0.12764505119453926\textwidth}P{0.05221843003412969\textwidth}} Model\tabcellsep Regression Coefficients\tabcellsep t\tabcellsep P value\tabcellsep \multicolumn{2}{l}{Collinearity Statistics}\\ \tabcellsep B\tabcellsep \tabcellsep \tabcellsep Tolerance\tabcellsep VIF\\ (Constant)\tabcellsep 71.990\tabcellsep 12.933\tabcellsep .000\tabcellsep \tabcellsep \\ Size\tabcellsep -.007\tabcellsep -2.243\tabcellsep .049\tabcellsep .918\tabcellsep 1.089\\ Financial\tabcellsep .267\tabcellsep 2.890\tabcellsep .016\tabcellsep .965\tabcellsep 1.037\\ Activities\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\ Category\tabcellsep .955\tabcellsep .726\tabcellsep .485\tabcellsep .892\tabcellsep 1.122\\ \multicolumn{2}{l}{a. Dependent Variable: FRCI}\tabcellsep \tabcellsep \tabcellsep \tabcellsep \\ \multicolumn{4}{l}{Source: Primary data collected through a semi-structured questionnaire}\tabcellsep \tabcellsep \end{longtable} \par \caption{\label{tab_9}Table 10 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{11} \par \begin{longtable}{P{0.05204081632653061\textwidth}P{0.06938775510204082\textwidth}P{0.10408163265306122\textwidth}P{0.18214285714285713\textwidth}P{0.28622448979591836\textwidth}P{0.15612244897959185\textwidth}} Model\tabcellsep R\tabcellsep R Square\tabcellsep Adjusted R Square\tabcellsep Std. Error of the Estimate\tabcellsep Durbin-Watson\\ 1\tabcellsep .786(a)\tabcellsep .618\tabcellsep .503\tabcellsep 5.02562\tabcellsep 2.326\end{longtable} \par {\small\itshape [Note: a. Predictors: (Constant), Total Budget in Million Taka, Seat at Undergrad, Category of University b. Dependent Variable: FRCI]} \caption{\label{tab_10}Table 11 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{12} \par \begin{longtable}{P{0.0076576576576576575\textwidth}P{0.2144144144144144\textwidth}P{0.268018018018018\textwidth}P{0.0536036036036036\textwidth}P{0.1837837837837838\textwidth}P{0.04594594594594595\textwidth}P{0.07657657657657657\textwidth}} \tabcellsep Model\tabcellsep Sum of Squares\tabcellsep df\tabcellsep Mean Square\tabcellsep F\tabcellsep Sig.\\ \tabcellsep Regression\tabcellsep 408.181\tabcellsep 3\tabcellsep 136.060\tabcellsep 5.387\tabcellsep .018 b\\ 1\tabcellsep Residual\tabcellsep 252.568\tabcellsep 10\tabcellsep 25.257\tabcellsep \\ \tabcellsep Total\tabcellsep 660.749\tabcellsep 13\tabcellsep \tabcellsep \end{longtable} \par {\small\itshape [Note: a. Dependent Variable: FRCI b. Predictors: (Constant), Category of University, Total Budget in Million Taka, Seat in Undergrad]} \caption{\label{tab_11}Table 12 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{13} \par \begin{longtable}{P{0.04788732394366197\textwidth}P{0.20352112676056336\textwidth}P{0.33521126760563374\textwidth}P{0.2633802816901408\textwidth}} FRCI\tabcellsep Seat in Undergrad\tabcellsep Total Budget in Million Taka\tabcellsep Category of University\end{longtable} \par \caption{\label{tab_12}Table 13 :}\end{figure} \backmatter \subsection[{Acknowledgment}]{Acknowledgment}\par The article is the modified copy of the research project report funded by the University Grants Commission of Bangladesh. \begin{bibitemlist}{1} \bibitem[Wilson et al. ()]{b11}\label{b11} \textit{Accounting for Governmental and Nonprofit Entities}, E R Wilson , J L Reck , S C Kattelus . 2010. 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