58

ICBI 2010 - University of Kelaniya, Sri Lanka

ANALYZING THE SIGNIFICANCE OF TOURISM ON SRI
LANKAN ECONOMY;
AN ECONOMETRIC ANALYSIS
Ruwan Ranasinghe,
Faculty of Management, Uva Wellassa University,
Badulla, Sri Lanka
ruwan@uwu.ac.lk
Ravindra Deyshappriya,
Faculty of Management, Uva Wellassa University,
Badulla, Sri Lanka
ravindra@uwu.ac.lk

ABSTRACT

In countries like Maldives, Malaysia, Singapore and Spain, tourism and related recreation
activities play a significant role in the generation of income / foreign exchange and
provision of employment opportunities. In fact, in the global context this industry is
identified as the single largest economic contributor. Moreover, tourism plays a crucial
role in the attainment of macroeconomic stability. Besides, the political stability of a
country has a major impact on its tourism industry. According to the preceding view, this
paper aims at analysing empirically the significance of tourism in the Sri Lankan
economy from 1970 to 2008. The relationship will be analyzed based on a time series
approach. The study will endeavour to estimate the relationship between economic
performance and tourism revenue, subject to main macroeconomic variables and political
stability of the country. With respect to policy implications, the study recommends that
the role of tourism could be highly emphasized in the sustainable economic development
with a stable political environment.

Keywords: Economic development, Tourism, Macroeconomic stability, Political
stability

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01. INTRODUCTION
Tourism is one of the major foreign exchange earners and main growth sector for many
countries especially the small islands which are rich with required natural and cultural
resources. The world tourism market has grown at an average of 3.7 per cent over the
past five years and is projected to grow by an average of 4.9 cent over the next five years,
with Asia and the Pacific regions recording the fastest growth rate. According to WTTC
(World Travel and Tourism Council 2010) Travel & Tourism activity was hit hard by the
global slump, Even so, the sector worldwide still provided over 235 million jobs last year.

Sri Lanka entered the international tourism market in the 1960s. Since then, this industry
has been growing steadily as a promising sector for the economic development, subject to
periodical setbacks especially the civil war prevailed in Sri Lanka, world terrorist attacks
and natural disasters. For example, international tourist arrivals to Sri Lanka increased
from 18,969 in 1966 to 438,475 in 2008 consequently the receipts from tourism (Sri
Lanka Tourist Board 2008). In particular, the contribution of Travel & Tourism to Gross
Domestic Product was 7.5% (LKR407.5bn or US$3,388.1mn) in 2009 in Sri Lankan
economy. The contribution of the Travel & Tourism economy to employment was
503,000 jobs in 2009, 6.2% of total employment or 1 in every 16.2 jobs it also is expected
to grow up to 579,000 jobs, 6.7% of total employment or 1 in every 14.8 jobs by 2020.
Similarly, the contribution for real GDP growth for Travel & Tourism sector was 5.9%
and the travel & Tourism investment was at LKR131.9bn, US$1,096.8mn or 10.1% of
total investment in 2009. Out of 186 registered countries of WTTC the Sri Lankan Travel
& Tourism economy is ranked number 87 in absolute size worldwide and 110 in relative
contribution to national economies.
Tourism remains the fastest growing service industry in the economies of most of
developing countries; hence more research has gone into the operations of the sector in
order to examine its economic significance and potential. (Amstrong, 1974) It is known
that the industry provides an important impetus to growth in other sectors such as
agriculture, transportation, retailing and manufacturing and is therefore seen as a key
component of economic development. It plays a major role for the generation of foreign
exchange which directly facilitates the improvement of foreign reserves of said
economies. (Stynes, Daniel J 1999) Similarly, the sector has shown greater improvements
in employment generation (direct and indirect), revenue accruing to tourist sites, and
increase in number of hotels and similar establishments and other tourism supply
establishments.
Therefore, the development of the tourism sector appears to have been as important as the
development of other sectors of the economy of Sri Lanka. Although tourism plays a key
role in the Sri Lankan economy, a little attention has been paid to this sector in the
empirical research. There have been a few attempts in the past to address some of the
issues relevant to the economic impact of tourism in Sri Lanka (see, Gamage (1978),
King and Gamage (1994), and Ihalanayake (1996)). In addition to these, Garcia (1988),
Crick (1989; 1992) and Richter (1989) have examined the social and cultural aspects,
particularly the negative impacts.

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The tourism sector demands inputs such as food and services from other sectors of the
economy and as such plays an important socio-economic role in the Sri Lankan economy.
The ability of the tourism industry to generate new employment opportunities, especially
among the low-skilled group, makes the industry a critical component in the country’s
development. Further, it’s inter- linkage with the agriculture sector makes it an important
contributor to rural development. Analyzing its economic contribution over last 30 years
and understanding the economic significance of tourism sector is therefore important to
development policy. Similarly this paper focuses the political unrest and security
concerns prevailed in Sri Lanka during the relevant period relating to the performance of
tourism industry.
This paper focuses on the significance of tourism industry in Sri Lankan economy.
The paper consists of five chapters and the first chapter carries an introduction to the
study. The second chapter revives the relevant literature while the chapter three is
reserved to describe the model and the methodological choice for the study. Chapter four
carries the data analysis part which consists two parts. The first part is a descriptive
analysis to discuss the performance of tourism sector and the second part is used to test
the empirical model. Chapter five summarizes the entire study while recommendations
and policy implications are highlighted.

02. LITERATURE REVIEW

Tourism’s contribution to economic development has been well documented in the
literature. For many developing countries, which were traditionally dependent upon
primary products in export earnings, tourism has become a major source of foreign
exchange earnings. This has been vital for such countries given their prevailing economic
conditions. Many developing countries have experienced severe deficits, particularly in
the current account of the balance of payments during past few decades. In the resolution
of these economies issues tourism has played an important role in such economies.
(Wanhill, Stephen R 1983)
There have been several recent empirical studies which explored the relationship between
tourism and economic growth. Hazari and Sgro (1995) developed a growth model in
which they model tourism as an added component to the domestic aggregate demand.
Furthermore, they model the foreign supply of capital and the growth in export as
dependent on tourism growth.
In particular a country or a place to be an attractive destination it has to be rich in land,
water, vegetation and man made creations. Islands like Seychelles, Maldives are rich in
Sun, Sean and Sand while countries like Malaysia, Thailand and Kenya are rich in
Culture, Nature and Adventure for keeping tourists attract. For example Seychelles island
GDP contribution from tourism sector is 73% where the same in Maldives Islands is 60
%.( IMF, 2009).

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In the case of Sri Lanka its inherited culture, natural resources as well as the coastal line
around the island are gifts for this particular industry to flourish. According to WTTC
ranking, (WTTC country report 2009) The South Asian Travel & Tourism economy is
ranked number, 10 in absolute size worldwide, 10 in relative contribution to national
economies, 1 in long-term (10-year) growth.

Figure - 01; The role of tourism in the global economy (WTTC, 2010)
WTTC has identified three major roles of tourism sector with respect to the macro
economic performance in the global economy, as illustrated in the following figure.
According to this the contribution of tourism sector is vital for the macroeconomic
performance of a country.
Tourism is a fast growing economic activity in many countries around the word, and
plays an important role in the economic and technological development of nations. As
Edge points out, tourism serves to stimulate the development of basic infrastructure,
contributes to the growth of domestic industries, attracts foreign investment, and
facilitates the transfer of technology and information.
Tourism expenditures generate income to the host economy and can stimulate the
investment necessary to finance growth in other economic sectors. Some countries seek
to accelerate this growth by requiring visitors to bring in a certain amount of foreign
currency for each day of their stay. An important indicator of the role of international
tourism is its generation of foreign exchange earnings. Tourism is one of the top five
export categories for as many as 83% of countries and is a main source of foreign
exchange earnings for at least 38% of countries. (Machel McCatty & Prudence Serju,
2006)
Direct contributions are generated by taxes on incomes from tourism employment and
tourism businesses, and by direct levies on tourists such as departure taxes. Indirect
contributions come from taxes and duties levied on goods and services supplied to
tourists.
The rapid expansion of international tourism has led to significant employment creation.
Tourism can generate jobs directly through hotels, restaurants, nightclubs, taxis, and
souvenir sales, and indirectly through the supply of goods and services needed by
tourism-related businesses.

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Tourism can induce the local government to make infrastructure improvements such as
better water and sewage systems, roads, electricity, telephone and public transport
networks. This can improve the quality of life for residents as well as facilitate tourism.
As the environment is a basic component of the tourism industry's assets, tourism
revenues are often used to measure the economic value of protected areas. Money is
earned from tourism through informal employment (e.g. street vendors, informal guides,
rickshaw drivers) The positive side of informal employment is that the money is returned
to the local economy, and has a great multiplier effect as it is spent over and over again.
According to the estimations of The WTO (World Tourism Organization) tourism
generates an indirect contribution equal to 100% of direct tourism expenditures.

Furthermore, Sri Lanka has experienced an increasing burden of foreign debt. A
relatively high percentage of GDP and of the budget is allocated for foreign loan
settlement. With ongoing civil unrests the situation results in high defense budgets. In
view of this volatile economic background, foreign exchange earnings from tourism have
been important contributions to economic development. In 1970 the receipts from
tourism sector was LKR 21.5 mn and by the end of 2008 it has grown up to LKR 37,094
mn.
Further, they argued that, “if those imports are capital goods or basic inputs for producing
goods in any area of the economy, then, it can be said that earnings from tourism are
playing a fundamental role in economic development” (p. 878). (Sathiendrakama and
Tisdell, 1987) Available evidence suggests that many developing countries are able to
raise a significant proportion of government revenue from international tourism. For
instance, the World Trade Organization (1998) claimed that these countries (most of them
are highly specialized tropical, tourist countries) raise 10 to 25 per cent of government
revenue from the tourism sector. In some cases, more than 50 per cent of government
revenue has been generated by the tourism sector. (Sathiendrakama and Tisdell, 1987)

Wanhill, Stephen R., (1983) investigated co-integration and causality between tourism
and economic growth in Mauritius and found that tourism has contributed to economic
growth. Moreover, he claimed that tourism has a significant positive impact on Mauritian
economic development. Armstrong (1996) examined the impact of tourism on the long-
run economic growth of Greece. He analyzed the causality of GDP, exchange rate and
international tourism receipts and concluded that there is a strong Ganger causality
relationship between international tourism receipts and economic growth, a strong causal
relationship between exchange rate and economic growth, and moderate causal
relationships between economic growth and international tourism receipts and between
exchange rate and international tourism receipts.

Contrarily, the political stability of Sri Lanka was questionable in particular with
reference to the international tourist arrivals during last few decades. Specially the civil
conflicts started in 1983 has continued till 2009 and it aggravated on certain occasions
specially bomb blasts and terrorist attacks at Central Bank of Sri Lanka in 1996, attack on

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international airport and so on. Out of 38 years of observation, 18 years were out of this
civil conflict while 20 years were under the civil war situation.

03. METHODOLOGY

03.1 Objectives of the Paper

The main objective of this research paper is to identify the significance of tourism sector in
the context of Sri Lankan economy. In addition to this main objective to asses the
significance of political stability of the country for the performance of tourism sector would
also be a major focus to be observed.

03.2 Identification of the Theoretical Model

Different models have been using to analyze the significance of tourism sector for an
economy. One is growth theory, which models the interactions among factor supplies,
productivity growth, saving, and investment in the process of growth.( Jacint Balaguer y
Manuel Cantavella-Jordá, 2000) The other is growth accounting, which attempts to
quantify the contribution of different determinants of output growth. Most papers have
been concentrated on the so-called export-led growth hypothesis for both developing and
industrialized countries.
logY logTOUSA log q u t t t t = α +α +α + 0 1 2
t=1975Q1...1997Q1
1975Q1 stands for the first quarter of 1975; analogously for 1997Q1.
An econometric model has applied using panel data approach by TERESA GA RIÂ N-
MUNÄ OZ and TEODOSIO PEÂ R EZ AMARAL in 2004. Here a dummy variable has
been included to capture the effect of the Gulf War during the relevant period.
The log linear model is the following.

LTOURit = β0it +β1LGNPit+β2L Exit+β3L PRit+β4D+u
The dependent variable which has been tested is log of the number of nights spent in
Spanish hotels by tourists from country i during year t, in per capita terms; as
independent variables Gross National Product, Exchange rate, Price index for tourism
services and most importantly dummy variable for the Gulf War that takes the value 1 in
1991 and 0 elsewhere.

03.3 Empirical Model
The literature survey enlightened us towards several models which have been used by the
previous researchers to examine the relationship between economic performances and
tourism sector. The empirical model for this study has been developed considering those
previous models. The following model was developed using an econometric approach to
measure the impact of tourism on real gross domestic production in Sri Lanka.
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RGDP   0  1 RGDPt 1   2GEXPEN   3 INV   4TRDV   5TOUR   6 D  u
RGDP – Real Gross Domestic Production of Sri Lanka
RGDP t-1 - Real Gross Domestic Production of Sri Lanka in previous year
GEXPEN - Government Expenditure
INV - Gross Domestic Investment as Percentage of GDP
TRADV - Trade Volume
TOUR - Tourism Receipts
D - Dummy Variable

Indisputably, the civil war which prevailed in Sri Lanka from 1983 to 2010 made a
significant impact on macroeconomic performance in Sri Lanka. Therefore, it is worth to
employ a dummy variable to this model to take the impact of civil war in to account on
macroeconomic performance. Further more dummy variable has been defined as follows.

= 1 No War Period
D=
= 0 War Period

According to the secondary objective of this research the impact of political stability of
the country on the performance of tourism industry has to be analyzed. In order to
accomplish this second objective, another model was developed by considering other
factors such as exchange rate and world Gross Domestic Production as well.

TOUR   0  1 ER   2WGDP   3 D  u

TOUR - Receipts from Tourism
ER - Exchange Rate
WGDP - World Gross Domestic Production
D - Dummy Variable

= 1 No War Period
D=
= 0 War Period

In following section, above empirical model has to be tested by using data from 1970 to
2008 to accomplish the objective those mentioned in previously.

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04. DATA ANALYSIS
In order to accomplish the objectives set for this study two analytical approaches would
be employed. The first part is a descriptive analysis which will focus the contribution of
tourism sector for the macroeconomic performance of Sri Lankan economy. Under the
second part we are going to use an econometric analysis using OLS method.

Figure – 02
Source; World Travel and Tourism Council Statistics; 2009

The above graph illustrates the contribution of each sector in the generation of
employment opportunities from 1988 to 2008 in Sri Lankan economy. Tourism sector is
the 4th largest employment generator and more importantly, it has been growing steadily
irrespective of the unhealthy political background.
This emphasizes the significance of tourism and related sectors specially creating
employment for unskilled young people who are suffering from employment after their
secondary education.

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Figure – 03
Source; World travel and Tourism Council Statistics; 2009

The above graph illustrates the employment trend in tourism sector in Sri Lankan
economy from 1988 to 2008. The employment generation of this sector is increasing over
the years and especially, from 2001 to 2004 (during the ceasefire agreement) there is a
significant improvement in employment generation. In December 2004 the Tsunami
disaster adversely affected this industry which shows a drastic slowdown in latter part of
2004 to 2006 which gradually start recover after 2006.

Percentage of Government Expenditure for tourism industry in Sri Lanka, South
Asia and in the World 2009

As illustrated in the following graph (figure – 04), in comparison to the world situation as
well as the South Asian Regional situation the share of government expenditure for travel
and tourism sector in Sri Lanka is very high which reflects the governments view of its
promising economic performance in the years to come.

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Figure – 04
Source; World travel and tourism Council Economic impact report – 2009

Table 01 - Travel and Tourism Key Economic Measurements in Sri Lanka – 2009

LKR bn % of total Growth
Personal Travel & Tourism 191 5.4 0.7
Business travel 62.4 1.2 -3.6
Government Expenditure 35.7 4.4 3.3
Capital investment 156.4 10.6 0.3
Visitor Exports 87.6 7.1 -7.5
Other Exports 50.3 4.1 6.2
Travel and tourism Demand 583.4 8.2 -0.6
Direct Industry GDP 140.3 2.7 -2.5
Travel & Tourism Economy GDP 418.4 7.9 -0.1
Employment 000's
Direct Industry Employment 176.7 2.1 -3.9
Travel & Tourism Economy Employment 533.6 6.5 -1.6


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Table 02 - Travel and Tourism Key Economic Measurements in South Asia – 2009

US$ mn % of total Growth
Personal Travel & Tourism 44,600 4.8 5.1
Business travel 11,261 0.8 -3.6
Government Expenditure 2,056 1.3 8.8
Capital Investment 37,427 7.7 -0.9
Visitor Exports 13,903 4.4 -4.9
Other Exports 5,902 1.7 4.6
Travel and tourism Demand 116,102 6.2 0.9
Direct Industry GDP 30,608 2.2 0.2
Travel & Tourism Economy GDP 84,220 5.9 0
Employment 000's
Direct Industry Employment 15,178 2.4 0.4
Travel & Tourism Economy Employment 37,173 5.8 -0.2

Source; World travel and tourism Council Economic impact report - 2009

Table – 03 Travel and Tourism Key Economic Measurements in the World - 2009
US$ mn % of total Growth
Personal Travel & Tourism 2990470 8.6 -2.9
Business travel 745085 1.3 -7.2
Government Expenditure 404183 3.9 3.3
Capital Investment 1220100 9.4 -5.3
Visitor Exports 1079430 6 -4.5
Other Exports 900731 5 -5.4
Travel and tourism Demand 7339990 9.6 -4
Direct Industry GDP 1870080 3.2 -3.5
Travel & Tourism Economy GDP 5473830 9.4 -3.5
Employment 000's
Direct Industry Employment 77276 2.7 -1.9
Travel & Tourism Economy Employment 219810 7.6 -2.8


Table 01, 02 and 03 illustrate selected key economic measurements in Sri Lanka, in
South Asia and in the World respectively. A comparison of highlighted figures is
presented graphically. (Only the percentage of total, to avoid the exchange rate
differences)

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Percentage of Capital investment in travel and tourism sector in Sri Lanka, South

Figure – 05
In comparison to the 7.7 of South Asia and 9.4 in the world the capital investment
percentage of Sri Lankan economy for travel and tourism sector is 10.6. This also
highlights the significance of this sector in Sri Lankan economy.

Percentage of direct industry GDP in travel and tourism sector in Sri Lanka, South

Figure – 06

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In 2009 the direct contribution to the GDP from travel and tourism sector is 2.7 in Sri
Lanka. The World situation is 3.2 for the same and South Asian Region’s contribution to
its GDP from the said sector is 2.2.

Percentage of Travel & Tourism Employment in total Employment -2009, selected
Economies

Figure – 07

The above figure compares the contribution of employment generation from travel and
Tourism sector and Sri Lanka is in the 9th place just 0.1 above India. India being a giant
in its resources for tourism product this is significant place irrespective of Sri Lanka’s
internal issues. However Seychelles, Maldives and Maturities are islands who offer
similar product.

Percentage of Travel & Tourism sector contribution to the total GDP-2009, selected
Economies
The following graph highlights the contribution to the total GDP from Travel and
Tourism sector. Sri Lanka enjoys here too a better place in comparison to India which
illustrates the significance of this sector in Sri Lankan economy. Here too Seychelles,
Maldives and Maturities are islands are out of the general comparison since their product
is totally different from the rest of the countries.

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Figure – 08

4.2 Econometric Analysis

RGDP  494 .73 **  0.874 *** RGDPt 1  1.938 GEXPEN  12 .74 * INV

 0.00067*** TRDV  0.0139* TOUR  217.484*** D

* - 10 % Significance Level
** - 5 % Significance Level
*** - 1 % Significance Level
R2 = 0.9988
Prob > F = 0.0000

According to the above estimated results, all the independent variables are statistically
significant except the government expenditure (GEXPEN). When we consider about the
trade volume and investment, both these variables play a major role in Sri Lankan
economy. Especially one unit change in gross domestic investment leads to 12.24 units
change in real gross domestic production and this relationship has been statistically
significant at 10 % level. This implies that increase in investment share is highly
recommended for the steady economic growth. Similarly, trade volume causes to average
change in real gross domestic production equivalent to 0.0007. Even if this coefficient is
relatively low, there is a 99% confidence about this coefficient according to the

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significance level. It is apparent that there was a dramatic increase in GDP after entering
to the free trade. As result shows, the receipts from tourism account for 0.014 units’
average change in real gross domestic production and it is significant at 10 % level.
Especially, tourism receipts bring a foreign assets and it will lead to maintain a
macroeconomic stabilization in the economy. In fact this macroeconomic stabilization
again encourage the tourism arrivals to the country, therefore there is an interrelationship
between both macroeconomic stabilization and receipts from tourism. Under this
situation special policy changes is highly recommended to boot the tourism industry.

When we consider about the dummy variable which is used to measure the impact of war
on macroeconomic performance, the negative coefficient (-217.48) clearly indicates that
the real GDP in non-war period is comparatively low comparison to the war period.
According to the results mean real GDP in war period is 494.73 million and the mean real
GDP in non war period is 277.246 million. This GDP variation in war and non war period
is statistically significant at 1 % level. This result indicates that the Real GDP during war
period is high due to the high defense expenditure of the government. The model is
overlay significant at 1 % level as the p values are equal to zero. When we turn in to the
coefficient of determination, (R2 = 0.9988) all the independent variables jointly explain
the 99 % of total variation of real GDP, it means this model is statistically appropriate to
measure the relationship between economic performance and factors which affect to the
economic performance specially receipts from tourism.

When we move to the second objective of this research we have to check whether there is
a war influence in Sri Lankan tourism industry or not. After running an OLS regression
following results has been obtained.

TOUR  11421.24***  395.78*** ER  925.96*WGDP  3919.75*** D  u
* - 10 % Significance Level
** - 5 % Significance Level
*** - 1 % Significance Level

R2 = 0.9349
Prob > F = 0.0000

As we know receipts from tourism depend on many factors, but in this study factors such
as exchange rate, word GDP has been considered. To measure the civil war influence in
tourism sector, dummy variable has been included. According to the results changes in
exchange rate causes to change in receipts from tourism averagely by 395.78 million
while world GDP causes to approximately 930 million. However coefficient of exchange
rate is significant at 1 % level by showing the importance of exchange rate behavior in
the tourism industry in Sri Lanka. As the theory implies increase in exchange rate
motivate the tourist’s arrivals, because then they are able to exchange more rupees for

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their dollars. World GDP also a better proxy for world living condition and it is positively
related with the Sri Lankan tourism industry.

When we are evaluating the war influence, the coefficient of dummy variable should be
taken in to account. According to this coefficient the average receipts from tourism in non
war period is higher than averagely by 3919.75 million compared to the war period. This
implies that there is a significant war influence on Sri Lanka tourism industry. In fact
tourist’s arrivals have been limited during the war period, because several international
media have also warned Sri Lanka as an unsafe place to visit. Especially, after terrorist
attacks on Katunayake International Airport and Central Bank of Sri Lanka, tourism
arrivals have dropped down dramatically. The model which has been used to evaluate the
above situation is statistically significant at 1 % level and according to the value of R 2,
explanatory variables jointly explained approximately 93 % of total variation of receipts
from tourism.
According to both descriptive and econometric approaches of analysis in this study, the
significance of tourism sector in Sri Lankan economy has implied to be a major portion
for key macro economic measurements. Similarly the adverse effects of war on tourism
sector have showed a massive loss for Sri Lankan economy over the last decades.

05. CONCLUSIOS
Given its natural advantages, the tourism sector is viewed as one of the most important
engines of growth and development in the Sri Lankan economy and as such, is a key
focus in the Government’s industrial strategy. Tourism main supporting sectors account
for more than 8.0 per cent of GDP. In relation to employment, agriculture transport,
storage & communication, construction, and distribution are the primary beneficiaries
from a dollar spent within the tourism industry. Further, these sectors account for over 7.0
per cent of the employed labor force.

However, the descriptive analysis points to the continued low and declining impact of the
industry on the overall economy in particular in the context of other countries like
Thailand, Malaysia and Kenya. However the investment share for tourism sector being
high the unstable political situation could be the closest reason for this less performance
in the case of comparison.

With the end of war, the expected boom in the industry over the years to come will have a
noticeable impact. The second empirical modal shows a strong relationship between the
political stability and macroeconomic performance in particular with reference to the
tourism sector. It is highly recommended to maintain a stable political situation of the
country in order for industries like tourism to flourish.
The paper has, in the main, addressed two of the important elements of an economic
significance of the tourism industry. Further work to be undertaken includes the
computation and comparison of cyclical movements of tourism sector performance in
response to the global economic and political changes. Similarly, the contribution of
tourism for the development could be recommended for future research work.

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APPENDICES

01. STATA regression output for empirical model – 01
reg RGDP RGDPt1 TOUR TRDV GEXPEN INV D

Source | SS df MS Number of obs = 39
-------------+------------------------------ F( 6, 32) = 4393.36
Model | 487971865 6 81328644.2 Prob > F = 0.0000
Residual | 592374.422 32 18511.7007 R-squared = 0.9988
-------------+------------------------------ Adj R-squared = 0.9986
Total | 488564239 38 12856953.7 Root MSE = 136.06

------------------------------------------------------------------------------

RGDP | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
RGDPt1 | .8744435 .0355395 24.60 0.000 .8020519 .946835
TOUR | .0139004 .0076853 1.81 0.080 -.001754 .0295547
TRDV | .0006696 .0001601 4.18 0.000 .0003436 .0009957
GEXPEN | -1.938993 7.129551 -0.27 0.787 -16.46141 12.58343
INV | 12.23894 7.203159 1.70 0.099 -2.433413 26.9113
D | -217.4845 68.14114 -3.19 0.003 -356.2835 -78.68557
_cons | 494.7364 225.1368 2.20 0.035 36.14773 953.325
------------------------------------------------------------------------------

02. STATA regression output for empirical model – 02

reg TOUR ER WGDP D

Source | SS df MS Number of obs = 39
-------------+------------------------------ F( 3, 35) = 167.52
Model | 6.6477e+09 3 2.2159e+09 Prob > F = 0.0000
Residual | 462969902 35 13227711.5 R-squared = 0.9349
-------------+------------------------------ Adj R-squared = 0.9293
Total | 7.1107e+09 38 187123946 Root MSE = 3637
------------------------------------------------------------------------------
TOUR | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
ER | 395.7841 17.83059 22.20 0.000 359.5861 431.9821
WGDP | 925.9638 457.2007 2.03 0.051 -2.202979 1854.131
D | 3919.754 1217.659 3.22 0.003 1447.774 6391.734
_cons | -11421.24 2015.899 -5.67 0.000 -15513.73 -7328.747
------------------------------------------------------------------------------

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