Vineet Chouhan, #1 Assistant Professor, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India Email: vin_chouhan0209@rediffmail.com Mobile: +91 9772778431 |
Pushpkant Shakdwipee,#2 Associate Professor, Pacific Business School,Udaipur, Rajasthan, India Email: pushpkant1978@gmail.com Mobile: +91 9672978034 |
Shagufta Khan,#2 Assistant Professor, Sanagam University, Bhilwara Rajasthan, India Email: shagufta.khan@spsu.ac.in Mobile: +91 9636436360 |
The study seeks to evaluate the awareness of the Business owners about GST and the difficulties they would face in case of the current awareness about it. 148 Small business owners were analysed in order to identify the awareness about GST from Rajasthan State and the kind and extent of relief provided and the implementation of the provisions under the GST law. The study has revealed that there is a lack of awareness amongst the Small business owners regarding the GST and its rules. For the purpose of the paper the responses were gathered form those who will be affected fromthe applicability of GST were selected. The responses gathered were analysed with the help of ANOVA and multiple regression method to identify the awareness of respondents. The results revealed that GST Law may be used as the most frequently. The main areas to be focused include Training and Computer software availability. Most of them have encountered issues like Client/customer refuse to pay GST and having problem to submit report to Authority. The Small business owners are also more interested in making and joining Training rather redressing for the grievances by using consumer protection law. Further most affected preparation to be GST ready has included the technicality and complicacy in the proposed GST model. Further multiple regression results revealed that 5 variables including GST improves the revenue growth to the state and country, The Government should rationalize and simplify the tax structure, GST will evade the cascading effect in Indirect tax regime, GST will assist in better conformity and revenue resilience, GST will bring uniformity with only two tax rates, it results in a good administration of tax structure shown the awareness of the GST amongst the small business owners
Keywords: GST, Consumer awareness, Consumer’s grievance, Complaint, Consumer grievance redress
MEASURING AWARENESS ABOUT IMPLEMENTATION OF GST: A SURVEY OF SMALL BUSINESS OWNERS OF RAJASTHAN
Tax is a way of collecting revenue from individuals, companies or other entities by the government in order to finance state expenditure. It is considered as the most important sources of government’s income to drive the economic growth and achieve the status of a developed country and high income. Thus, there are various taxes levied on the users such as direct taxes and indirect taxes. As tax contributes to the development of the country, low turnover tax revenues will affect the country's development and financial position of the country is likely to resulting deficit (Ahmad Azrin, 2015).
On August 08, 2016, theLok Sabha passed the changes to Constitutional Amendment (122nd) Bill,2014 cleared by Rajya Sabha on August 03, 2016, marking the day as historic in India’s journey towards global reforms. The passage of the Bill is a progressive measure as along with the conferring of concurrent powers to the Parliament and State Legislature to make law pertaining to Goods and Services, the Bill also provides for basic framework of Indian GST law. GST regime will definitely create a harmonised tax structure, re-defining Indian economy on the global front under the tagline of “one tax and one market”. GST will make India a progressive and inclusive economy worldwide. It seeks to address and overcome challenges present inthe current indirect tax regime by broadening the tax base, eliminating cascading of indirect taxes, increasing compliance and reducing economic distortions caused by inter-state variations in indirect taxes.Various initiatives have to be taken by various state governmentsfor making GST applicable from April 2017.
GST is a proposed system of indirect taxation in India merging most of the existing taxes into single system of taxation (Bhiwandikar, 2016).GST Constitutional (101st Amendment) Act’ 2016contains the provisions which are necessary for the implementation of GST regime.To implement this Constitution Amendment Bill for GST, it has put before the parliament (Rajya Sabha on 3 August 2016 and Lok Sabha on 8 August 2016) and has been approved by the President of India (Akhila, 2016). The Government of India (GoI) is committed to replace 21 major indirect taxes levied on goods and services by the Centre and States and implement GST by 1 July 2017.It is also defined as any tax on supply of goods and services other than on alcohol for human consumption (Raghuram&Deepa, 2015).
It is anticipated that the tax base of Government of India will be comprehensive, as virtually all goods and services will be taxable, with minimum exemptions. It would be a comprehensive indirect tax on manufacture, sale and consumption of goods and services throughout India, to replace taxes levied by the central and state governments. It would be levied and collected at each stage of sale or purchase of goods or services based on the input tax credit method.
GST, become a very popular subject of common discussions since it has been seen as a game changing reform for the Indian economy. It is popular as it creates a common Indian market and reduces the cascading effect of tax on the cost of goods and services. GST will have an impact over tax structure, incidence of tax, computation and payment of tax, compliance, credit utilization and reporting (EY, 2016). It also will lead to a complete overhaul of the current indirect tax system and will have a far-reaching impact on almost all the aspects of the business operations in the country, including, pricing of products and services, supply chain optimization, IT, accounting, and tax compliance systems (Kotnal, 2016).Thus it is important that the respondents who are the real users of the proposed GST Must understand the concept for their use. Thus this paper analyses the views of the small business owners who will be the real users of the proposed GST.
The following are the general and specific objectives of the study:
A study conducted by Djawadi and Fahr (2013) pointed out that knowledge about tax is important to increase the thrust of authorities and also the citizens. It was also found that Malaysian understanding regarding GST was still low (Tan and Chin-Fat, 2000).
According to Palil et al. (2010) public awareness towards GST is low can happen due to introduction of GST especially in the early years such as lack of familiarity with the new system. There are several factors that discouraged customers from accepting GST implementation in Malaysia and the most important factor among all is a fear of price increase and will cause the inflation.
Based on the history of the implementation by the other countries around the world, most of the countries received a positive impact in terms of their revenue, despite the success of GST implementation the Malaysian citizens still feel uncertain with the GST, (Saira et al, 2010). The findings from the study showed that the majority of Malaysians not convinced with the GST system, (Saira et al, 2010).
Based on study conducted by Boonyarat et al. (2014), the researcher used Structure Equation Modelling (SEM) to examine the relationships between tax awareness and tax knowledge and the researcher found out that tax knowledge has positive relationship with tax awareness. Hence, taxpayers will be more aware about tax system when they have knowledge and understanding towards the tax system.
Research by Mustapha and Palil (2011) stated that the influence of compliance behavior towards individuals’ awareness has been proven in various researches. From the findings of Razak and Adafula (2013); Santi (2012) they found that taxpayers’ awareness is significantly associated with tax compliance and this is also supported by study Jatmiko (2006).
Palil et al. (2013) study by using multiple regression analysis, the researchers found out that there are significant relationship between awareness and tax knowledge. When individuals have knowledge related to the tax systems, people will be more willing to respect the tax systems and improved individuals’ awareness. Further, Jatmiko (2006) also conclude that awareness can be developed from the knowledge and the understanding. Palil et al. (2013) and Jatmiko conclusions is also supported study by Tayib (1998) identified that individuals’ awareness towards the tax system can increase when the individuals has knowledge about the tax. This makes tax knowledge and tax awareness has significant relationship and when the individuals or the taxpayers have knowledge about it and it will make it easier for them to study and follow the tax rules.
According to Torgler (2011) tax morale is important to taxpayer awareness. On the other hand, research by Tekeli (2011) using multiple regression analysis show that tax morale has insignificant relationship on tax awareness. Tekeli (2011) conclusion is supported study by Torgler and Schaffner (2007) regarding cause and consequences of tax morale.
Tulu (2007) indicate that other factors such as taxpayers’ attitude or morale found to be the result of lack of awareness has found to have little impact on taxpayers’ attitude towards taxation. A lot of individuals or taxpayers might want to comply in full with the tax systems, but are unable to do so because they are not aware of and lack of understanding their full obligations. Even they understand their obligations they may not know how to comply with it because of there is no two way communications between the authorities and taxpayers. Dup (2014) claimed that the ability of taxpayers to comply with the tax laws have a strong relationship with tax awareness.
The concept of Goods and Services Tax (GST) was first introduced by a French tax official in 1950’s. To date,there are 160 countries in the world that have practiced this form of taxation including European Union and Asiancountries likes Sri Lanka, Singapore and China with the rate between 5%-27 % (Official Website Malaysia Goodsand Services Tax, Royal Malaysian Customs Department).
Mohani (2003) indicated that one of the fundamental ways to increase public awareness is through knowledge. Tan & Chin-Fatt (2000) asserted that tax knowledge can be imparted through general understanding on the tax regulation. They indicated that the government had always been promoting for the implementation of GST; however the understanding of GST for Malaysian, even in introductory level, is still failed to be delivered (Tan & Chin-Fat, 2000). According to Saira et al. (2010), the proposal of GST implementation by the government actually is not to unduly burden the Malaysians, especially for the lower income group. The government then expected that the consumers will get the benefit from the price reduction for most of goods and services. Accordingly, increase awareness and knowledge on a new tax initiative is essential to gain public acceptance and confidence, particularly in tax situation (Cullis& Jones, 1992). They further exerted that since taxation involves public expenditure, new tax reform creates uncertainty of future expenditure (Cullis& Jones, 1992).
In this study, data were collected by using questionnaires-based survey. The samples selected were derived from 148 Small business owners of various 5 cities of Rajasthan state. For this study, convenience sampling method was used. According to Sekaran&Bougie (2013), this method most often used during the exploratory phase of a research project and is perhaps the best way of getting some basic information quickly and efficiently.
The research methodology of this study is divided in following points:
The study utilized statistical techniques such as descriptive analysis and ANOVA and Multiple regression analysis in order to analyse the data. The research applied descriptive statistics which consists of methods for organizing, displaying and describing data by using tables and summary measures.
DATA ANALYSIS
Sample Demographics:
The demographic profile of the Small business owners included in the study were shown in table-1 as under:
Table-1: Sample Demographics
Characteristics |
Category |
Percent |
Characteristics |
Category |
Percent |
Legal Entity |
Sole proprietors |
52.71% |
Primary Industry |
Manufacturer |
5.07 % |
Partnership |
10.14% |
Construction & Contractor |
5.07 % |
||
Family business |
23.67% |
ICT |
10.14% |
||
Joint venture |
13.52% |
Restaurant (F&B) |
13.52% |
||
Manufacturing Industry |
75 % |
Hotel |
23.67% |
||
Services & Other |
25% |
Travel |
10.14% |
||
Average annual turnover |
Manufacturing Industry |
3-5 lakh |
Agriculture, Timber, Fishery, Farming & Gardening |
23.67 % |
|
Services & Other Industries |
Less than 3 lakh |
Leisure & Entertainment |
8.72% |
The descriptions of selected variables are shown in table-2 as under:
Table-2: Description of selected variables
S. No. |
VARIABLE |
SPSS Name |
|
1 |
Establishment of GST team |
Establishment of GST team |
|
2 |
Human resource policy |
Human resource policy |
|
3 |
Training |
Training |
|
4 |
Pricing |
Pricing |
|
5 |
Computer system – software |
Computer system – software |
|
6 |
Computer system– hardware |
Computer system– hardware |
|
1 |
The GST accounting software is not working properly |
encounter _Issues_1 |
|
2 |
Employee/yourself has problem operating the GST software |
encounter _Issues_2 |
|
3 |
Having problem to submit report to Authority |
encounter _Issues_3 |
|
4 |
Client/customer refuse to pay GST |
encounter _Issues_4 |
|
5 |
Company’s cash flow is affected |
encounter _Issues_5 |
|
6 |
Not sure which product/service is categorized as standard rated supply, zero rated supply or exempted supply |
encounter _Issues_6 |
|
Dependent Variable |
|||
1 |
How aware you are regarding the GST implementation |
Awareness about GST implementation |
|
Independent variables |
|||
2 |
Current taxation system for goods and service in our state made in the tax design and administration the systems at both central and state levels remain complex. |
VAR00001 |
|
3 |
Uniformity of rates especially in the neighboring states helpful traders and service providers have to be benefited |
VAR00002 |
|
4 |
The Government should rationalize and simplify the tax structure |
VAR00003 |
|
5 |
To do business in India usually finds it difficult to comprehend the complex tax laws and operational modalities |
VAR00004 |
|
6 |
GST improves the revenue growth to the state and country |
VAR00005 |
|
7 |
Current duties causes effective tax rate to be high and the differences across states |
VAR00006 |
|
8 |
GST reduces material cost and comparing with the sales tax |
VAR00008 |
|
9 |
GST checks the tax evasion periodically at different stages of Purchase of goods and service |
VAR00009 |
|
10 |
GST will assist in better conformity and revenue resilience |
VAR00010 |
|
11 |
The service tax structure increases the overall cost for Consumers |
VAR00011 |
|
12 |
GST approach will improve Rate of Tax, Refund Procedure, helps to improve accounting procedures. |
VAR00012 |
|
13 |
GST will evade the cascading effect in Indirect tax regime. |
VAR00013 |
|
14 |
GST will result in a simple, transparent and easy tax structure; merging all levies on goods and services into one GST. |
VAR00014 |
|
15 |
GST will bring uniformity with only two tax rates, it results in a good administration of tax structure. |
VAR00015 |
|
16 |
GST may broaden the tax base. It will increase tax collections due to wide coverage of goods and service. |
VAR00016 |
|
As per the research objective of the paper the data were collected to identify that in preparing for GST, the main areas to be focused-on.Following hypothesis was developed:
H1(a)= the variables to be focused-on are significant in preparing for GST.
For this purpose the data of the respondents were analysed with help of one sample t tests. The results of the test were provided in table-3 as under:
Table-3: One sample t tests
a. One-Sample Statistics |
||||||||||
N |
Mean |
Std. Deviation |
Std. Error Mean |
|||||||
Training |
148 |
2.7703 |
1.29937 |
.10681 |
||||||
Establishment of GST team |
148 |
2.5541 |
1.48591 |
.12214 |
||||||
Human resource policy |
148 |
2.5338 |
1.27996 |
.10521 |
||||||
Computer system – software |
148 |
2.2770 |
.89459 |
.07353 |
||||||
Computer system– hardware |
148 |
2.5541 |
1.47212 |
.12101 |
||||||
Pricing |
148 |
2.5473 |
1.27420 |
.10474 |
||||||
b. One-Sample Test |
||||||||||
Test Value = 2.5 |
||||||||||
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval of the Difference |
||||||
Lower |
Upper |
|||||||||
Training |
2.530 |
147 |
.012 |
.27027 |
.0592 |
.4813 |
||||
Establishment of GST team |
.443 |
147 |
.659 |
.05405 |
-.1873 |
.2954 |
||||
Human resource policy |
.321 |
147 |
.749 |
.03378 |
-.1741 |
.2417 |
||||
Computer system – software |
-3.032 |
147 |
.003 |
-.22297 |
-.3683 |
-.0777 |
||||
Computer system– hardware |
.447 |
147 |
.656 |
.05405 |
-.1851 |
.2932 |
||||
Pricing |
.452 |
147 |
.652 |
.04730 |
-.1597 |
.2543 |
||||
As per the result of the t test the null hypothesis is rejected and we can say that for that for two variables training and Computer system-Software, significant differences (p<0.05) were the two area in preparing for GST, and were the main areas to be focused-on.
As per the research objective of the paper the data were collected find that respondents were still encountered by any of the following issues now. Following hypothesis was developed:
H1(b)= the variables of issues encountered are having significant impact.
For this purpose the data of the respondents were analysed with help of one sample t tests. The results of the test were provided in table-4 as under:
Table-4: One sample t tests
a. One-Sample Statistics |
|||||||
N |
Mean |
Std. Deviation |
Std. Error Mean |
||||
encounter _Issues_1 |
148 |
2.5541 |
1.48591 |
.12214 |
|||
encounter _Issues_2 |
148 |
2.5338 |
1.27996 |
.10521 |
|||
encounter _Issues_3 |
148 |
2.2770 |
.89459 |
.07353 |
|||
encounter _Issues_4 |
148 |
2.1081 |
.72969 |
.05998 |
|||
encounter _Issues_5 |
148 |
2.5270 |
1.49578 |
.12295 |
|||
encounter _Issues_6 |
148 |
2.6284 |
1.32110 |
.10859 |
|||
b. One-Sample Test |
|||||||
Test Value = 2.5 |
|||||||
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval of the Difference |
|||
Lower |
Upper |
||||||
encounter _Issues_1 |
.443 |
147 |
.659 |
.05405 |
-.1873 |
.2954 |
|
encounter _Issues_2 |
.321 |
147 |
.749 |
.03378 |
-.1741 |
.2417 |
|
encounter _Issues_3 |
-3.032 |
147 |
.003 |
-.22297 |
-.3683 |
-.0777 |
|
encounter _Issues_4 |
-6.534 |
147 |
.000 |
-.39189 |
-.5104 |
-.2734 |
|
encounter _Issues_5 |
.220 |
147 |
.826 |
.02703 |
-.2160 |
.2700 |
|
encounter _Issues_6 |
1.182 |
147 |
.239 |
.12838 |
-.0862 |
.3430 |
|
As per the result of the t test the null hypothesis is rejected and we can say that for that for having problem to submit report to Authority and Client/customer refuse to pay GST significant differences (p<0.05) were found.
As per the objective (To measure awareness about implementation of the provisions under the GST law) the agreement of the respondents related with the various areas are checked with the broader hypothesis. The following hypothesis was developed:
H1(c): The attributes have significant influence on the awareness about implementation of GST.
To identify key variables in multivariate regression analysis has been used with SPSS-19 software and results were shown in table-5 as under:
Table-5: Multiple regression analysis for awareness about GST
a. Descriptive Statistics |
|||
Mean |
Std. Deviation |
N |
|
Awareness about GST implementation |
2.8514 |
1.21423 |
148 |
VAR00007 |
3.9257 |
.91912 |
148 |
VAR00001 |
3.4392 |
1.65873 |
148 |
VAR00002 |
3.8041 |
1.12884 |
148 |
VAR00003 |
3.6081 |
1.17012 |
148 |
VAR00004 |
3.6689 |
1.18027 |
148 |
VAR00005 |
3.8649 |
.96643 |
148 |
VAR00006 |
3.0068 |
1.25896 |
148 |
VAR00008 |
3.4054 |
1.55111 |
148 |
VAR00009 |
4.1014 |
.71657 |
148 |
VAR00010 |
3.1892 |
1.29021 |
148 |
VAR00011 |
2.2770 |
.89459 |
148 |
VAR00013 |
3.3041 |
1.24353 |
148 |
VAR00014 |
4.1014 |
.71657 |
148 |
VAR00015 |
3.8581 |
.91108 |
148 |
VAR00016 |
2.3986 |
1.31315 |
148 |
b. Variables Entered/Removeda |
|||
Model |
Variables Entered |
Variables Removed |
Method |
1 |
VAR00010 |
. |
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100). |
2 |
VAR00013 |
. |
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100). |
3 |
VAR00006 |
. |
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100). |
4 |
VAR00015 |
. |
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100). |
5 |
VAR00004 |
. |
Stepwise (Criteria: Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >= .100). |
a. Dependent Variable: VAR00012 |
c. Model Summary |
|||||||||
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
Change Statistics |
||||
R Square Change |
F Change |
df1 |
df2 |
Sig. F Change |
|||||
1 |
.665a |
.442 |
.439 |
.90985 |
.442 |
115.803 |
1 |
146 |
.000 |
2 |
.755b |
.569 |
.563 |
.80232 |
.127 |
42.759 |
1 |
145 |
.000 |
3 |
.774c |
.599 |
.590 |
.77708 |
.029 |
10.572 |
1 |
144 |
.001 |
4 |
.797d |
.635 |
.624 |
.74422 |
.036 |
13.998 |
1 |
143 |
.000 |
5 |
.804e |
.647 |
.634 |
.73439 |
.012 |
4.854 |
1 |
142 |
.029 |
e. Predictors: (Constant), VAR00010, VAR00013, VAR00006, VAR00015, VAR00004 |
|||||||||
d. ANOVAf |
|||||||
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
||
5 |
Regression |
140.145 |
5 |
28.029 |
51.970 |
.000e |
|
Residual |
76.585 |
142 |
.539 |
||||
Total |
216.730 |
147 |
|||||
e. Predictors: (Constant), VAR00010, VAR00013, VAR00006, VAR00015, VAR00004 f. Dependent Variable: awareness about GST implementation |
|||||||
e. Coefficientsa |
|||||||||
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
Correlations |
||||
B |
Std. Error |
Beta |
Zero-order |
Partial |
Part |
||||
5 |
(Constant) |
-.578 |
.391 |
-1.480 |
.141 |
||||
VAR00010 |
.382 |
.055 |
.406 |
6.923 |
.000 |
.665 |
.502 |
.345 |
|
VAR00013 |
.303 |
.059 |
.310 |
5.135 |
.000 |
.638 |
.396 |
.256 |
|
VAR00006 |
.224 |
.052 |
.232 |
4.325 |
.000 |
.388 |
.341 |
.216 |
|
VAR00015 |
.248 |
.073 |
.186 |
3.382 |
.001 |
.387 |
.273 |
.169 |
|
VAR00004 |
-.115 |
.052 |
-.112 |
-2.203 |
.029 |
-.144 |
-.182 |
-.110 |
|
a. Dependent Variable: awareness about GST implementation |
Table-5 part b. (Variables Entered/Removeda) has shown the variables entered (five i.e., VAR00010, VAR00013, VAR00006, VAR00015, VAR00004) into the regression equation for further analysis.
As per the result of the test the null hypothesis is rejected and in the final Regression model with 5 independent variables (VAR00010, VAR00013, VAR00006, VAR00015 and VAR00004) explains almost 63.4% of the variance of awareness aboutGST implementation. Also, the standard errors of the estimate has been reduced to .73439, which means that at 95% level, the margin of errors for any predicted value of accounting disclosure of Sustainable items can be calculated as ± 1.4394044 (1.96 X .73439). The five regression coefficients, plus the constraints are significant at 0.05 levels. The impact of multi colinerarity in the 5 variables is substantial. They all have the tolerance value less than 0.93, indicating that only over 7% of the variance is accounted for by the other variables in the equation.
ANOVA Analysis
The ANOVA analysis provides the statistical test for overall model fit in terms of F Ratio. The total sum of squares (216.730) is the squared error that would accrue if the mean awareness about GST implementation has been used to predict the dependent variable. Using the values of VAR00010, VAR00013, VAR00006, VAR00015 and VAR00004 this errors can be reduced by 64.67% (140.145/216.730). This reduction is deemed statistically significant with the F ratio of 51.970 and significance at level of 0.00e. With the above analysis it can be conclude that five variables i.e., VAR00010, VAR00013, VAR00006, VAR00015 and VAR00004 explains the awareness aboutGST implementation.
CONCLUSION
As per the objectives of paper the level of awareness towards GST among the small business owners in Rajasthan state, it was found that the main areas to be focused include Training and Computer software availability. Most of the respondents have predicted that issues like Client/customer refuse to pay GST and having problem to submit report to Authority will be increased. The Small business owners are also more interested in making and joining Training rather redressing for the grievances by using consumer protection law. Further most affected preparation to be GST ready has included the technicality and complicacy in the proposed GST model. Further multiple regression results revealed that 5 variables including GST improves the revenue growth to the state and country, The Government should rationalize and simplify the tax structure, GST will evade the cascading effect in Indirect tax regime, GST will assist in better conformity and revenue resilience, GST will bring uniformity with only two tax rates, it results in a good administration of tax structure shown the awareness of the GST amongst the small business owners. The finding of this study is consistent with the findings from previous studies found that awareness towards the implementation of GST was relatively low and moderate (Zakaria et al, 2015). On top of average awareness regarding GST implementation, most of the respondents were also not willing to support and accept the implementation of GST.
References