• Tidak ada hasil yang ditemukan

PowerPoint Presentation - IPIEF FEB UMY

N/A
N/A
Protected

Academic year: 2023

Membagikan "PowerPoint Presentation - IPIEF FEB UMY"

Copied!
21
0
0

Teks penuh

(1)

THE ROLE OF INFORMATION AND COMMUNICATION TECHNOLOGY ON SERVICE TRADE:

GRAVITY MODEL APPROACH

DYAH TITIS K. WARDANI FAIZA HUSNAYENI NAHAR

HAIRUNNAS

UNIVERSITAS MUHAMMADIYAH YOGYAKARTA

(2)

INTRODUCTION

(3)
(4)
(5)
(6)

BACKGROUND

ASEAN INTEGRATION IN SERVICE

“Free flow of trade in services is one of the important elements in realizing ASEAN Economic Community, where there will be substantially no restriction to ASEAN services suppliers in providing services and in establishing companies across national borders within the region, subject to domestic regulations.” (ASEAN Economic Community Blueprint, November 2007)

Services are increasingly important components of economic output in any country. While

agriculture and manufacturing remain very important, services continue to gain importance and

share in any country’s Gross Domestic Product (GDP).

(7)

BACKGROUND

THE ROLE OF TECHNOLOGY: INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

Technology plays an important role in international trade and commerce since international trade is one of the sources of growth. Salvatore (2004) said that international trade is as one of the engines of growth.

With rapid advances in Information and Communication Technology (ICT) since the 1990s, as well as increased efficiency for transport of goods and people across national boundaries, the variety of sectors and volume of services provided across national boundaries are rising fast. More and more people are traveling abroad to consume tourism, education and medical services, as well as to supply services ranging from construction to software development.

Likewise, more and more business transactions and delivery of services projects such as

engineering design and financial market consultancy are undertaken through electronic

channel such as internet and other telecommunication network.

(8)

GRAVITY MODEL THEORY

The gravity model basically adopts Newton's law of gravity, that is, every particle in the universe will experience an attractive force with one another

= 12

² Keterangan:

F : Attractive force between two objects (M)

m1 : Mass of object 1 (kg) m2 : Mass of object 2 (kg)

r : Distance between two objects (m) g : Gravity constant

Tinbergen (1962) used the analogy of the law of gravity equation from Newton to analyze the flow of international trade.

Iij = G

I : Gravity between places

Pi : Number of population origin country

: Destination

G : Coefficient of proportionality

According to Tobler (2004), the gravity model can explained in scale

Pj : Number of population partner countries

(9)

1. What is the effect of standard gravity variables such as distance, GDP of Indonesiai. GDP of partnersj on service trade between Indonesia and ASEAN countries, 2005-2017?

2. To what extent is the effect of telephone cellular access on service trade between Indonesia and ASEAN countries, 2005- 2017?

Research Questions (?)

1. To analyze the effect of ICT and other determinant factors that affect on service trade ASEAN from 2005 to 2017.

2. Commodities are service products

3. Independent variables such as Distance, GDP of Indonesia, GDP of partners (9 ASEAN Countries) and telephone cellular access.

Research Limitation

1. To examine the effect of standard gravity variables such as Distance, GDP of Indonesiai. GDP of partnersj on service trade between Indonesia and ASEAN countries, 2005-2017?

2. To examine the effect of Telephone cellular access on service trade between Indonesia and ASEAN countries, 2005- 2017?

Research Objectives

(10)

Why the observation starts from 2005?

The subsequent decision at the 11th ASEAN Summit in December 2005 to accelerate the liberalisation of trade in services by 2015, re-affirms the seriousness of ASEAN to further integrate its services sector

and deepen its economic integration process

(11)

GDP Indonesia

GDP Partners

Service Trade Indonesia to ASEAN

+

+

Telephone cellular access

+

Distance -

RESEARCH FRAMEWORK

(12)

RESEARCH

METHODOLOGY

1 1

2 2

3 3

4 4

OBSERVATION

Service Export Indonesia to ASEAN-9 from

2005 to 2017

DATA

DATA SOURCE

DATA ANALYSIS METHOD

Analysis is using random effect model

This research using panel data are obtained from UN-Comtrade,

World Bank, www.distancefrom to.net, and www.itu.int

This research using secondary data

(13)

RESULTS AND DISCUSSION

Multicollinearity Test Heteroscedasticity with White Test

Chi2(1) 1.37

Pro > Chi2 0.2551

Variabel VIF

Ln GDP Indonesia 1.33 Ln GDP partners 1.69

Ln Distance 2.34

Telephone cellular access

2.20

Mean VIF 1.84

VIF less than 5 or 10, then regression result is free from multicollinearity (Montgomery, 2001)

Probability more than 0.05, then regression result is free from heteroscedasticity

(14)

ANALISIS PEMILIHAN MODEL

Chow Test

Effect Test Prob

.

F(5,229) 4.39

Prob > F 0,0030

Hausman Test

chi² (6) 1.23

Prob > chi² 0.8740

Lagrange Multiplier Test

chibar² (01) 10.16

Prob > chibar² 0.0007

Hasil Estimasi

Independent Variables

Model

Common Effect

Fixed Effect

Random Effect

Constant 14.0301 14.0301 9.8519

Standard Error 9.8596 9.8596 0.9990

P-Value 0.158 0.158 0.324

Ln GDP Indo 1.0199 1.0199 0.8882

Standard Error 0.3612 0.3612 0.3768

P-Value 0.006 0.006 0.018

Ln GDP partners 1.3321 1.3321 1.3604

Standard Error 0.0437 0.0437 0.0919

P-Value 0.000 0.000 0.000

Ln Distance -.9353 -.9353 -0.9305

Standard error 0.0987 0.0994 0.1970

P-Value 0.000 0.000 0.000

Telephone Cell 0.0063 0.0063 0.0048

Standard Error .0019 0.001 0.0022

P-Value 0.013 0.000 0.034

(15)

CONCLUSION

1. Gross Domestic Product (GDP) both Indonesia (the country of origin) and its ASEAN trading partners have positive and significant effect on Indonesia's service exports to ASEAN. The greater GDP of a country represent economic of scale and for country partners these represent product market. Therefore, to increase export, a country that has higher GDP is directed to trade with a country that have higher GDP.

2. Distance between Indonesia its ASEAN trading partners has a negative and significant effect on Indonesia's service exports to ASEAN. This in line with the Gravity model theory.

Since the higher distance, the higher cost of transportation and shipping cost. Even though ICT development in progress nowadays, distance still matter for trade costs.

3. Telephone cellular access has positive and significant effect on Indonesia's service exports to ASEAN. By the development of ICT, such as communication access i.e.

telephone cellular access, this may reduce the trade cost. For instance, trader do not need

to have face to face interaction, merely they only have correspondence through telephone

cellular and this may reduce trade costs, therefore this efficiency may increase trade

volume (export).

(16)

RECOMMENDATION

1.The Indonesian government is recommend to trade with a country that has higher GDP, since the higher GDP, the higher trade (export).

2. Since the higher distance, the higher cost of transportation and shipping cost. Therefore, the Indonesian government have to make transportation and shipping cost more efficient to reduce trade costs.

3. The Indonesian government should develop ICT in term of trade, such as telephone cellular access. This role can be handled by PT Telkom Indonesia. For instance to strengthen networking and infrastructure of telecommunication. To build more Base

Transceiver Station (BTS) located in trade partners countries in ASEAN, for example Telin Singapore established by Telkom Indonesia is officially established in 2007 and is the first Telkom footprint in international business.

4. The Indonesian government need to continue the implementation of Information and

Communication Joint Committee Indonesia-Singapore. As 3rd Information and

Communication Joint Committee is held in Yogyakarta in 2012.

(17)

REFERENCES

Alam, S. (2007). Ekonom, Jilid 2. Jakarta:Esis.

Adnyana (2016) ‘Review Skema ACFTA terhadap Ekspor Indonesia ke Tiongkok, Hongkong dan ASEAN’ Universitas Nasional Jakarta. Jakarta.

Anderson, J. E. (2016). The Gravity Model of Economic Interaction. Boston College.

ASEAN. (t.thn.) Association of Southeast Asian Nations. Dari:

https://asean.org/asean/about-asean/. Di akses pada tanggal 2 April 2019.

Amador dan Cabral. 2008. The Portuguese Export Performance in Petspetive: A Constant Market Share Analysis.

Anderson. J. E. (2016). The Gravity Model of Economic Interaction. Boston College.

Association of Southeast Asian Nations. https://asean.org/asean/about-asean/. Retrieved on 2 April 2019.

Baltagi, B. H., 2005. Econometric Analysis of Panel Data. 3rd Ed. West Sussex: John Wiley and Sons Ltd.

Besedes dan Byle. 2010. An Analysis of Export Duration in Latin America.

Distancefromto (2019). ‘Jjarak Indonesia dengan Negara-negara ASEAN’. Retrieved from www.distancefromto.net

(18)

Elshehawy et al. 2014. The Factors Affecting Egypt’s Export: Evidence from the Gravity Model Analysis.

Ekanda (2014) Ekonomi Internasional. Jakarta: erlangga.

Ginting (2013) ‘Pengaruh Nilai tukar terhadap Ekspor Indonesia’ P3DI. Jakarta.

IDI (2019). ‘Pengelompokan IDI (ICT Development Index)’ diambil dari: www.itu.int

Jayadi, A. (2016) berjudul ‘Peta Persaingan Produk Ekspor Indonesia, Malaysia, Singapura Dan Thailand’.

Lidya (2012) ‘‘Analisis Faktor-faktor yaang Mempengaruhi Ekspor Indonesia Tahun 1988- 2008’. Universitas Gajah Mada. Yogyakarta.

Lubis (2010) ‘Analisis Faktor Yang Mempengaruhi Kinerja Ekspor Indonesia’. Buletin Ilmiah Litbang Perdagangan, Vol. 4 No. 1.

Laksmita (2019) ‘Analisis Total Ekspor Indonesia ke 21 Negara Emerging Markets Tahun 2003 – 2015’. Universitas gajah mada. Yogyakarta.

Mohsen, A. S. (2015). Effect of Exports and Invesment on the Economic Growth in Syria. International Journal of Management, Accounting, and Economics.

Vol 2, No. 6.

Mankiw, G.N. (2007). Makroekonomi Edisi ke-6. Jakarta: Erlangga: Gelora Aksara Pratama.

 

Mankiw, G.N. (2003). Macroeconomics 5th Edition. New York: Worth Publishers.

 

(19)

Mankiw, G. N. (2012). Principles of Macroeconomics, Sixth Edition. Canada: Cengage Learning.

 

Montgomery, D.C., Peck,E.A., Vining, G.G. 2001. Introduction to Linear regression Analysis, 3rd edition, Wiley, New York.

Nopirin. (2014). Ekonomi Internasional. Yogyakarta: BPFE.

Spero, J. A. H. (2003). “International Trade and Domestic Politics",The Politics of International Economic Relations. Boston: Wadsworth.

Sukirno, S. (2012). Makroekonomi Teori Pengantar; Edisi Ketiga. Jakarta: Rajawali Pers.

Salvatore, D. (2004). Prinsip-prinsip Ekonomi. Jakarta: Erlangga.

Salvatore, D. (1997). Ekonomi Internasional (Kelima). Jakarta: Erlangga.

Sunardi (2014). ‘Analisis Daya Saing Dan Faktor Penentu Ekspor Komoditas Unggulan Indonesia ke Organisasi Kerjasama Islam (OKI)’ Institut Pertanian Bogor. Bogor.

Tinbergen, J. (1962). An Analysis of World Trade Flows in Shaping the World Economy, edited by Jan Tinbergen. Twentieth Century Fund. New York, NY.

(20)

Trade Map. (2019). Ekpor ASEAN ke dunia 2014-2018.

https://www.trademap.org/Index.aspx. Accessed on 17 February 2019.

UN Comtrade. (2019). Data Ekspor Servis Indonesia ke ASEAN. Retrieved from UN Comtade: http://comtrade.un.org/db/. Retrieved on 23 January 2019.

WTOa. (2019). World Trade Organization. Retrieved from

https://www.wto.org/english/tratop_e/region_e/rta_pta_e.htm

World Bank. (2013). GDP per Capita (current US$). Cited on22 March 2019 from World Bank Website: http://data.worldbank.org/indicator/NY.GDP.PCAP.CD.

World Bank. (2017). ‘Total PDB Indonesia per Capita (current US$)’ from World Bank:

http://data.worldbank Retrieved on 23 January 2019

Wibisono, Y. 2005. Sumber-Sumber Pertumbuhan Ekonomi Regional: Studi Empiris Antar Propinsi di Indonesia. 1984-2000. Jurnal Ekonomi dan Bisnis Indonesia Vol.02, Universitas Gajah Mada.

 

Xing (2013) ‘The Impacts of Information and Comunications Technology (ICT) and E- cormmerce on Bilateral Trade Flows’.

(21)

Thank You

Referensi

Dokumen terkait

The long-run result indicates that the GDP and OFDI have a positive and significant influence on exports in Bangladesh which suggest that in the long run the exports of Bangla-

The rate of economic growth in Indonesia can be seen from its Gross Domestic Product (GDP), while the rate of economic growth in Yogyakarta Province can be seen from