Revealed Comparative Advantage and Competitiveness: An Analysis of India's Trade Potential with Central Asia
Neelam Aarif
Research Scholar
Department of International Business, GITAM School of Business, GITAM Deemed to be University, Visakhapatnam,
Andhra Pradesh, India naarif@gitam.in,
https://orcid.org/0009-0005-1000-662X
Dr. Radha Raghuramapatruni
Associate Professor
Department of International Business, GITAM School of Business, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh,
India rraghura@gitam.edu,
https://orcid.org/0000-0002-4486-5458
Historically India shares a strong bonding with the Central Asian Republics (CARs), connected through the “Silk Route― . The Collapse of USSR, the countries of Central Asia became independent nations. The Central Asian region includes developing economies and is rich in variety of oil, gas and mineral resources. India has been exploring ways to accelerate and integrate its trade, economic and investment relations with these landlocked countries that also have huge geopolitical and strategic importance. Overall, India’s trade with the Central Asia still needs to be tapped to its fullest potential, but there are several initiatives that India has taken to enhance its economic engagement with the region. The current paper attempt to explore and identify the economic and trade relations between the Central Asian economies and India by adopting a series of methods involving intensity indices, various measures of comparative and stability indices. The results reveal an untapped potential between both the regions and complementarity of commodity trade that could be explored for further integration of trade between India and the Central Asian Region.
India shares a thick historical bond with the Central Asian economies of Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan. The history of the ancient literature provides that, both were the powerful centres and share a great deal of economic and trade share along with strong cultural relations through the connecting “Silk Route”, (Malik & Mir, 2014; Kusuma, 2022; Min, 2024). However, the international relations were controlled by Moscow during the earlier Soviet era, after the year 1991 each independent nation started to have direct economic and international relations with the other countries of the World.
With the fast changing geo-political and geo-economical strategies, tariff wars, changing geopolitics in Afghanistan, India views its central
Asian strategy as crucial one. Central Asia is a resource-rich region that offers opportunities for Indian businesses in sectors such as energy, mining, and infrastructure. India has been exploring ways to boost its trade and investment with Central Asia, including “International North- South Transport Corridor (INSTC)” that helps to link, India with Russia and Europe via Central Asia and Iran. India has also signed bilateral agreements with several Central Asian countries to promote trade and investment. Additionally, India has been involved in several infrastructure projects in the region, including the construction of a 200-km railway line in Afghanistan that will connect with the Iranian port of Chabahar, providing India with an alternate route to access Central Asia and Europe. India has also been exploring opportunities to increase its energy cooperation with Central Asia, which could help the country to serve its energy needs of its growing economy (Kurbanov & Khoshimov, 2022).
Given this background the paper would analyse India’s trade with the Central Asian region along with identification of commodity trade potential between India and the CAR and explore the trade relations between both the region. Following the results few policy implications will therefore be highlighted to enhance trade between India and the Central Asia.
During the post-Soviet era, Central Asia has emerged as a hotspot of geo-economics, geo-political and geo strategic importance. The region has vast reserves of natural mineral resources like hydrocarbon and deposits of uranium along with vast potential for hydro power. And the region emerged as pivot for intra and international economic and trade linkages (Kothari, 2020). With the unfolding of the ‘Asian Century’, the countries of Central Asian are attempting to integrate with the countries towards the east through variety of international co-operation agreements like‘Shanghai Cooperation Organization’, ‘Asian Infrastructure Investment Bank’ and the ‘Eurasian Economic Union’ (Contessi, 2016). The geographic location of CAR countries play a significant role in connecting Asia with Europe. Along with this strategic role
these countries face a major disadvantage too, because of their geography as these countries are landlocked, thereby transportation has been the major hurdle in trade and movement (Kamalbek & Burulcha, 2020; Na and Na, 2024). Geographically, Central Asia is the central to the Eurasian region is considered as one of the world’s earliest inhabited regions of the world and home of the ancient and highly developed civilization. India has given a special space to the central Asia in its foreign policies and has a historical connect between Central and Indian sub- continent since dates back to the Indus Valley Civilization to the current geopolitical world. India and Central Asian Region (CAR) have economic complementarity in terms of resources, manpower and market (Arif & Gupta 2013). The current period has seen the growth of south-south trade partnerships and the trade volume between India and CAR countries would have been nearly 9 to 10 times larger than the current volumes, the trade route which is continuously prone to geo-political tensions and political disturbances is the major barrier to integration with the CAR countries (Seema & Agarwal, 2017). In the post pandemic geo- political situation security has remained a crucial focal point of India-Central Asian relations. Furthermore, India joined as the member of Shanghai co-operation organization in the year 2017, which includes Kazakhstan, Kyrgyzstan, Tajikistan and Uzbekistan led by China that provides a forum to establish security relationship within the region. “Central Asia Regional Economic Cooperation” digital strategy of 2030 is to expand the digital technology and scale up the digital literacy across the CAR, this provides an opportunity for India’s technology sector and Tech. Start-ups to provide expertise to the Central Asian countries. Similarly, improved supply chain connectivity between India and the Central Asia can improve Medical Tourism for the Central Asian Region (Schulz, 2022). India’s trade with Central Asia region accounts for over $ 2 billion, the India has supported CAR a support of extending a credit line of $1 billion to the regional countries of Central Asia in transport, energy, Information Technology(IT), medicine, education and agriculture along with supporting the grants in social projects. The India EXIM bank also provided with a credit line of $448 million to the
government of Uzbekistan (Kurbanov & Khoshimov, 2022). The changing dynamics in Afghanistan had pushed India to play a pro-active role in the Eurasian region and re- work on its Central Asian strategy, which can be seen in through the ‘Extended Neighbourhood’ and the ‘Connect Central Asian’ strategies.
The paper employs a combination of empirical methodology of Intensity Indices, gravity coefficient and various methods of competitive indices to select the commodities that have trade potential between India with CAR. Similarly, the stability of these indices is identified along with the distribution of beta values. The required data for analysis is gathered from various secondary sources of the WTO, IMF and UNCTAD sources. Various statistical tools (SPSS 16.0, advanced excel), Greta and advanced excel were applied for the purpose of analysis.
The export and import intensity indices are the two indices used to observe the trends of trade between India and Central Asia. The Indices were calculated for the period 1995 to 2021. Similarly, the Gravity Coefficient (GC) measure is assessed for India’s trade with the CAR region. Similarly various methods of Balassa’s index were adopted to identify the commodity trade potential.
India had been integrating with the East Asian region through the initiatives of “Look East Policy” and further through the “Act East Policy”, however the integration of India and the CAR (Central Asian Region) have not been able to tap the potential of the each other’s diverse resources base that existed. The values of TII and III present the same scenario.
Chart.1Export Intensity Index (EII) and Import Intensity Index (III) of India's Trade with Central Asian Countries
In order to explore the trade pattern between India and the CAR countries the intensity of trade relations (Export Intensity Index, the EII) and (Import Intensity Index, the III) were identified for the five Central Asian countries, representing in the Chart.1. Among the five countries of the Central Asian Region, India’s trade relations had been greatest with Kazakhstan. The Export Intensity Index (EII) value of India with Kazakhstan were at 0.380 (1995) and this increased to 1.451 (1998) till 2000 (1.167) and their after the EII saw a gradual a decline, but again regained since the year 2009 and reached 0.285 (2021). A gradual rise in India’s exports since 2014 as a result of trade agreements. The Import Intensity Index (III), has seen a consistent rise since the year 2012 (0.156) till the year 2021 (1.527). For most of the years the values have been great than 1, presenting a greater integration of trade between India and Kazakhstan. Kyrgyzstan is comparatively a less developed economy among the CAR Countries, its GDP growth rate is 1.8% during the period 1991 to 2020. During the initial period of the year 1995 it is 0.013, it gradually rose to 4.838 during the year 2000. The volume of trade between India and Kyrgyzstan has been increasing over the years. Both the countries have signed several bilateral agreements to facilitate trade and economic co-operation. For the years 2006, 2007 it has been a positive value of EII 1.967 and 1.095, there after there was a gradual decline of EII to 0.321 (2021). The TII of Kyrgyzstan is 0.058 (1995), for the years 2001 to 2005 the III values were greater than 1 and later there was a decline, for the year 2021 (0.003). Observing the extent of trade potential both the countries continue to engage to enhance business to business interactions and explore new opportunities in various sectors such as IT, agriculture, Pharma and tourism. Tajikistan is a relatively poor country in the Central Asian Region. Though there has been a gradual rise in the GDP growth rates, the per capita GDP has been the smallest among the CAR. The EII and the III values has been the lowest, when compared to the other countries. The values of EII, have been greater compared with the values of III. The EII during the year 1995 is (1.014) during the year 2003, it is 0.777 and again in the year 2015(1.079), by the year 2021 it stood at 0.601. The III has been 0.395 (1995),
for the year 2002 (1.225) and this gradually registered at 0.0075 (2021), the bilateral trade volumes between India and Tajikistan has been gradually rising and ranging between $100 m to $200 m annually. Owing to the greater complementarity between the two countries, there is a further potential for growth. The relations between India and Turkmenistan has been modest and had been fluctuating during the period of the study. The volume of trade between the economies has been relatively low when compared to other CAR countries, however but some potential for growth has been found. The EII for the year 1995 has been found at 0.145 during the initial period of study and increased to 1.031 by the year 2001 and reached 1.570 (2021). The III is at 0.364 (1995), 2003 (0.701) and
2021 it is at 0.564. Uzbekistan had been the most populous
country in the Central Asian Region, the volume of trade between India and the Uzbekistan has been growing gradually, the current India and Uzbekistan trade volume reaching the value at 690.5 US$ and the Joint Economic Commission in place between India and Uzbekistan also contributed positively to enhance trace between India & Uzbekistan, the EII during the year 1995 is 0.458 and for the years 2002 to 2005 it has been greater than 1 and gradually declined after for the year 2001 (0.617). The III was registered at 0.622 during the year 1995, for the year 2014 it was at 0.0090 and by the year 2021 is has been registered at
0.057. Both the nations established a Joint Economic Commission to enhance the bilateral trade relations between the two regions. The overall EII and III presents a gradually improving intensity of export and import trade relations between India and the CAR region and further could be enhanced through accelerating the trade volumes between the both the regions. Accelerating the commodity trade potential could help in increasing trade volumes which is analysed in the following sections.
Gravity Coefficient of India's Trade with Central Asia |
|||||
Year |
Kazakhsta n |
Kyrgyzstan |
Tajikistan |
Turkmenista n |
Uzbekistan |
1995 |
0.2445 |
0.0440 |
0.7608 |
0.233754 |
0.517 |
1996 |
0.1893 |
0.2539 |
0.1907 |
0.091388 |
0.224 |
1997 |
0.7520 |
1.3549 |
- |
0.150665 |
0.400 |
1998 |
0.9039 |
1.1459 |
0.2668 |
0.236919 |
0.361 |
1999 |
0.8293 |
2.6870 |
0.5882 |
0.39519 |
0.553 |
2000 |
0.7143 |
2.9683 |
0.5289 |
0.228661 |
0.544 |
2001 |
0.6142 |
1.8183 |
- |
0.164092 |
0.671 |
2002 |
0.4096 |
2.1113 |
- |
0.273717 |
0.775 |
2003 |
0.3724 |
2.9392 |
0.7439 |
0.527425 |
1.035 |
2004 |
0.3684 |
3.8822 |
0.6697 |
0.491429 |
0.819 |
2005 |
0.2600 |
2.2155 |
0.4271 |
0.468486 |
0.895 |
2006 |
0.2593 |
1.4566 |
0.2760 |
0.412664 |
0.584 |
2007 |
0.1794 |
0.7672 |
0.2912 |
0.348855 |
0.375 |
2008 |
0.2212 |
0.3243 |
0.3678 |
0.25148 |
0.456 |
2009 |
0.2802 |
0.4225 |
0.6285 |
0.285201 |
0.287 |
2010 |
0.2164 |
0.3430 |
0.5543 |
0.233468 |
0.264 |
2011 |
0.1644 |
0.3868 |
0.2895 |
0.159403 |
0.337 |
2012 |
0.2136 |
0.2879 |
0.4072 |
0.189439 |
0.373 |
2013 |
0.3136 |
0.2813 |
0.3337 |
0.172471 |
0.361 |
2014 |
0.6409 |
0.2840 |
0.5615 |
0.250962 |
0.466 |
2015 |
0.3778 |
0.3535 |
0.9624 |
0.473562 |
0.452 |
2016 |
0.5055 |
0.3148 |
0.6064 |
0.406189 |
0.404 |
2017 |
0.8045 |
0.4578 |
0.6622 |
0.371181 |
0.523 |
2018 |
0.6715 |
0.2747 |
0.4642 |
0.382477 |
0.550 |
2019 |
1.1604 |
0.2698 |
0.2711 |
0.179807 |
0.408 |
2020 |
1.4887 |
0.4698 |
0.3497 |
0.295465 |
0.546 |
2021 |
0.7299 |
0.2683 |
0.4484 |
0.496914 |
0.422 |
Source: Calculated from the unctad.org
The Gravity coefficient has been one of the determinants that reflects the gravity of trade between the countries. The gravity coefficient helps to explore the gravity of trade that exists between the two regions India and the Central Asian countries (Table.1). The values of Gravity Coefficient (GC) presents that India and the CAR have not been able to take the full advantage of its trade complementarity. One of the factor of hindrance has been the lack of common boundary with the Central Asian countries. The trade gravity values between India and the five Central Asian Countries present the under-utilized trade potential
between the countries. The volume of trade between the two could be further enhanced by accelerating the trade ties between the nations. The GC values between India and Kazakhstan presents decent trade gravity which could be further enhanced. Initially the value of GC were at 0.244 (1995) and this further increased to 1.16 (2019), 1.488 (2020). India’s Oil and gas companies under the government sector has been heavily investing in Kazakhstan. When compared the GC values between India and Kazakhstan the values have been higher than the other 4 countries of Central Asia. The economy of Kyrgyzstan is
largely supported by its sectors like agriculture, mining and terrorism. Initially the GC values have been at 0.441 (1995), it reached a maximum of 3.88 during the year 2004 and thereafter there was a gradual decline to 0.268 (2021). India and Tajikistan share cordial trade relations with a gradual rise in the total volume of trade between the two countries. During the year 2022 India’s exports to Tajikistan $74 USM and imports is at $43USM. The total volume of gravity co-efficient has been at 0.76 during the year 1995 and this stood at 0.44 during the year 2021. India and Turkmenistan gravity coefficient values have been a gradual rise from 0.233 (1995) to 0.412 (2006) and thereafter a decline and again regained in (0.448) 2021. With the complete potential yet to be gained both the nations signed 8 MOU’s in the year 2018 in the areas of Peace, disaster management, renewable energy, education and agricultural research. The total bilateral trade between India and Turkmenistan was at US$M 192.01. The values of GC also seen a gradual rise with 0.237 (1995) to 0.496 (2021). During the year 2003 it was at 0.491. India and Uzbekistan have a modest bilateral turnover of over 300m US$ by 2020. Pharmaceuticals is a major area of trade and investment. Medical tourism to India has increased sharply resulting in the rise in the values of GC values to 0.517 (1995) and to 0.422 (2021). The values of GC presents under- utilized complementarity between CAR and the India.
India has historical, cultural civilizational links between
India and the Central Asian region. India requires energy resources is a perfect complement to the energy rich CAR region. Transportation has been a major hurdle trade with the landlocked CAR region. There were several initiatives “International North-south Transport Corridor, connecting India to Russia & Europe through the Central Asia & Iran, and the Turkmenistan- Afghanistan-Pakistan –India. TAPI Pipeline were some of the initiatives to support the transportation and supply chain network. The commodity trade potential between India and the Central Asian Region is identified through 39 commodities under 7 distinct categories (Table.II). The Annual Revealed comparative Advantage (RCA) indices were identified for four categories B (Balassa’s Index), RTA (Revealed Trade Advantage Index), In RXA (log RXA) and the RC (Revealed Competiveness), to identify the commodity trade potential between India and the CAR. The mean value of Blass Index (B, RTA, In.RXA, RC) for the period 2016 -2021 were analysed and presented in the above Table. The indices reveal a similar trading pattern with all the four indices [(Balassa’s Index- ‘B’), (Relative Trade Advantage-’RTA’), (Relative Export Advantage- ‘RTA’), (Relative Import Advantage Index-‘RMA’) were presented for analysis. The Balassa’s index could be seen in 27 commodities, the relative trade advantage is identifies with respect to 31 distinct commodity groups, where the RTA>0, similarly the relative export advantage (In RXA>0) is seen in 26 commodity trade patterns.
Product Group |
Mean |
Coefficient of Variation (Percent) |
||||||
B |
RTA |
InR X A |
RC |
B |
RTA |
In RXA |
RC |
|
>1 |
>0 |
>0 |
>0 |
|||||
Food & Live Animals: |
||||||||
Live Animals other than animals of division 03 |
0.254 |
0.241 |
-0.596 |
1.035 |
120.076 |
123.365 |
-102.328 |
41.993 |
Meat and meat preparations (01) |
4.215 |
4.215 |
0.625 |
4.745 |
51.560 |
9.510 |
6.542 |
3.531 |
Dairy products and birds' eggs (02) |
0.680 |
0.663 |
-0.168 |
1.595 |
25.823 |
26.600 |
-68.124 |
8.870 |
Fish, crustaceans, molluscs and preparations thereof (03) |
22.43 6 |
22.30 3 |
1.351 |
2.224 |
22.562 |
22.830 |
7.772 |
9.065 |
Cereals and cereal preparations (04) |
1.089 |
1.019 |
0.037 |
1.367 |
11.711 |
15.952 |
142.428 |
32.470 |
Vegetable and Fruits (05) |
0.662 |
-0.195 |
-0.179 |
-0.101 |
11.714 |
-130.588 |
-27.177 |
-140.543 |
Sugar, sugar preparations and honey (06) |
9.012 |
8.948 |
0.955 |
2.112 |
45.789 |
45.978 |
25.326 |
7.909 |
|
Coffee, tea,cocoa,spices and manufactures thereof (07) |
10.318 |
10.071 |
1.014 |
1.631 |
9.484 |
10.193 |
4.108 |
8.947 |
|
Feedstuff for animals (excluding unmilled cereals) (08) |
3.650 |
3.200 |
0.562 |
0.904 |
33.023 |
40.063 |
29.294 |
29.007 |
|
Miscellaneous edible products and preparations (09) |
2.025 |
3.595 |
0.306 |
1.571 |
16.195 |
33.511 |
23.128 |
0.967 |
|
Food, basic excluding tea, coffee, cocoa and spices (SITC 0 + 22 + 4 less 07) |
1.684 |
1.114 |
0.226 |
0.480 |
8.997 |
19.800 |
16.446 |
11.681 |
|
Beverages and Tobacco: |
|||||||||
Beverages (11) |
0.738 |
0.539 |
-0.132 |
0.575 |
11.961 |
16.867 |
-41.942 |
15.493 |
|
Tobacco and Tobacco Manufactures (12) |
1.759 |
1.729 |
0.245 |
1.785 |
15.438 |
15.614 |
29.285 |
8.046 |
|
Mineral Fuels , Lubricants and Related Materials |
|||||||||
Crude Rubber (Including Synthetic and reclaimed) (23) |
1.129 |
-9.490 |
-9.490 |
-0.936 |
59.116 |
-23.756 |
492.767 |
-31.214 |
|
Coal, coke and briquettes (32) |
0.094 |
-8.237 |
-8.237 |
-2.066 |
105.386 |
-17.701 |
-30.390 |
-12.401 |
|
Petroleum, petroleum products and related materials (33) |
0.307 |
-2.477 |
-5.030 |
-1.225 |
12.728 |
-32.901 |
-10.361 |
-8.585 |
|
Gas, natural and manufactured (34) |
0.005 |
-2.477 |
-2.284 |
-2.666 |
11.184 |
-30.371 |
-2.269 |
-4.785 |
|
Electric current (35) |
0.350 |
0.328 |
-0.455 |
0.128 |
86.975 |
99.797 |
-113.359 |
741.624 |
|
Chemicals and Related Products, n.e.s |
|||||||||
Organic Chemicals (51) |
55.683 |
48.192 |
1.746 |
0.827 |
53.550 |
156.999 |
13.097 |
57.528 |
|
Inorganic Chemicals (52) |
0.143 |
-1.604 |
-0.843 |
-1.083 |
29.310 |
-38.333 |
-18.051 |
-15.276 |
|
Dyeing , tanning and colouring materials (33) |
32.867 |
32.1788 |
1.517 |
1.686 |
12.953 |
13.097 |
3.713 |
6.110 |
|
Medicinal and pharmaceutical products (54) |
47.428 |
47.138 |
1.676 |
2.223 |
11.342 |
11.484 |
2.897 |
6.215 |
|
Essential oils for perfume materials and cleaning preparations (55) |
13.990 |
13.779 |
1.146 |
1.825 |
17.053 |
17.149 |
7.025 |
4.681 |
|
Fertilizers other than group 272 |
0.071 |
-3.860 |
-1.152 |
-1.755 |
30.479 |
-28.374 |
-13.687 |
-14.026 |
|
Manufactured Goods |
|||||||||
Leather, leather manufactures and dressed furskins (61) |
2.587 |
-7.759 |
0.413 |
-0.594 |
27.215 |
-49.429 |
25.721 |
-38.253 |
|
Rubber manufactures, n.e.s. (62) |
39.126 |
36.360 |
1.592 |
2.217 |
37.837 |
40.694 |
12.497 |
8.612 |
|
Cork and wood manufactures (excluding furniture) (63) |
10.662 |
10.523 |
1.028 |
1.875 |
21.281 |
21.483 |
9.264 |
4.402 |
|
Textile yarn and related products (65) |
3.534 |
3.006 |
0.548 |
0.826 |
18.615 |
23.242 |
15.176 |
16.141 |
|
Paper and Paper Manufactures |
38.040 |
37.638 |
1.580 |
1.970 |
21.305 |
21.451 |
5.943 |
3.276 |
|
Iron and steel (SITC 67) |
0.842 |
0.530 |
-0.075 |
0.423 |
22.936 |
33.498 |
-133.640 |
21.983 |
|
Machinery and Transport Equipment |
||||||||
Specialised machinery (72) |
10.452 |
10.117 |
1.019 |
1.489 |
24.661 |
25.535 |
10.577 |
9.698 |
Telecommunication and sound recording apparatus (76) |
12.179 |
11.014 |
1.086 |
0.975 |
52.436 |
60.098 |
24.515 |
36.238 |
Electrical machinery, apparatus and appliances, n.e.s. (77) |
7.267 |
6.093 |
0.861 |
0.801 |
12.841 |
14.186 |
6.514 |
12.705 |
Road vehicles (78) |
14.578 |
14.379 |
1.164 |
1.825 |
53.075 |
53.922 |
18.497 |
14.380 |
Other transport equipment (79) |
4.484 |
3.770 |
0.652 |
0.750 |
53.150 |
63.519 |
37.023 |
35.988 |
|
||||||||
Miscellaneous Manufactures Articles |
||||||||
Furniture and parts thereof (82) |
28.224 |
27.859 |
1.451 |
1.875 |
30.636 |
30.921 |
8.856 |
5.420 |
Travel goods, handbags, etc. (83) |
13.638 |
32.380 |
1.135 |
1.668 |
36.010 |
36.711 |
14.669 |
13.389 |
Footwear (85) |
17.083 |
16.901 |
1.233 |
1.944 |
36.044 |
36.307 |
18.745 |
10.586 |
Professional and scientific instruments, n.e.s. (87) |
4.539 |
3.538 |
0.657 |
0.657 |
21.288 |
28.614 |
13.524 |
19.862 |
Source: Analysis done for B, RTA, logRXA and RC,
Further the above reviews presents Indian economy as perfect complement to the Central Asian economies which provide enough room for international trade (Arif & Gupta 2013). Finally the Revealed Competitiveness is seen in 31 products where the RC>0. The final summary statistics of
the mean and the CV for the four Indices of the all the products (B, RTA, In.RXA and RC) are presented in the Table II. The values registered under the CV (Co-efficient of Variation) for these categories also present a fairly stable index over a period of 6 years period of time.
Percentage of the Product Groups where: |
|||||||
Inde x |
RCA 2016 |
an d |
RID 2021 |
and |
RID 2021 |
and |
RCA 2016 |
|
|
|
|
|
|
|
|
B |
71.79 |
28.21 |
30.77 |
|
69.23 |
||
RTA |
70.26 |
29.74 |
26.25 |
|
73.75 |
||
In RXA |
68.23 |
31.77 |
46.25 |
|
53.75 |
||
RC |
72.26 |
27.74 |
26.74 |
|
73.26 |
Source: Author's Calculation based on Table, II
The details of the Coefficient of Variation examined in the earlier table presently a fairly stable values over the period studies (6 years). Further to validate this the authors adopted a series of measures, a simple measure to understand the stability (Table. III) is to find the RCA of the identified products in time 't', but a disadvantage i.e RCD in the later period (t+1). Similarly, to identify RCD in the initial time period 't' and an RCD in the 't+1' period. The analysis presents that Balassa's Index that 71.79% of the products were having RCA during the period 2016 and this
shifted to 28.21( RCD) during the period 2021. Similarly, 30.77% of the commodities were having disadvantage during the year 2016 and this shifted to RCA (2021) of 69.23%. The analysis of Revealed competitiveness (RC) reveals that 72.26% of the commodities exhibited Revealed Competitiveness (RC) and 26.74% of the commodities exhibited (RC) during the year 2016 and this shifted to 73.26% by the year 2021. The table presently a clear shift in the revealed comparative advantage in these commodities
for which India exhibited a shift to the revealed independence during the period 2016, but this proportion is
26.74%. Similarly, the percentage of the commodities which have RCA shifted to RCD also fairly maintained a similar value.
Summary Statistics |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
Mean |
9.103 |
11.353 |
12.448 |
11.132 |
10.256 |
11.057 |
Maximum |
57.678 |
79.382 |
101.320 |
48.075 |
47.680 |
51.900 |
Percentof ‘B’
<1 |
26 |
27 |
28 |
28 |
28 |
28 |
<2 |
21 |
23 |
26 |
24 |
23 |
26 |
<3 |
21 |
23 |
25 |
22 |
17 |
22 |
<4 |
18 |
20 |
22 |
13 |
15 |
18 |
Source: Calculated from the Table, II
However examining the distribution of Balassa's value (Table. IV) over the period of study, India's RCA index which was 9.103 (means) during the year 2021 rose to
11.057 during the year 2021. The maximum value also which was 57.67 in the year 2016, experienced a decline to
51.90 in the year 201. The percentage of 'B Value' greater than '1' during the initial period (2016) of assessment it is 26% and this was 28% by the year 2021. The percentage values of 'B' which was (<3) was 21% and this rose to 22% by 2021and 'B' values (<4) were similar during the year 2018 and 2021.
The overall analysis of India's trade with CAR economies presents immense potential of India's trade with the Region, the trade potential product groups analysed presents immense potential that could be tapped by singing in and co-operating the areas of export potential, focussing on infrastructure and transport feasibility with the land locked countries. Similarly, focusing on the tariff lines and geopolitical scenario also would increase the trade feasibility between the economies.
Involvement of Chine in the Central Asian Region (CAR), and the formation of 'One Belt and One Road' initiative and other factors, can be carefully dealt with the right strategy.
The resource rich CAR is a perfect complementary to the manufacturing and technology driven changing India's basket of exports. The Balassa's index was found present in 27 commodities, the Relative Competiveness is identified with respect in 31 distinct commodity groups also supports the contention of accelerating its trade & economic relations between India and the CAR region.
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Year |
Kazakhstan |
Kyrgyzstan |
Tajikistan |
Turkmenistan |
Uzbekistan |
1995 |
0.38 |
0.013 |
1.014 |
0.145 |
0.458 |
1996 |
0.169 |
0.19 |
0.177 |
0.172 |
0.282 |
1997 |
0.563 |
2.433 |
0.239 |
0.219 |
0.672 |
1998 |
1.451 |
1.704 |
0.118 |
0.324 |
0.642 |
1999 |
1.193 |
3.607 |
0.576 |
0.612 |
0.512 |
2000 |
1.167 |
4.838 |
0.748 |
0.463 |
0.499 |
2001 |
0.206 |
0.323 |
- |
0.091 |
0.933 |
2002 |
0.084 |
0.539 |
- |
0.161 |
1.291 |
2003 |
0.083 |
0.12 |
0.777 |
0.433 |
1.57 |
2004 |
0.081 |
0.082 |
0.531 |
0.417 |
1.239 |
2005 |
0.12 |
0.634 |
0.186 |
0.51 |
1.263 |
2006 |
0.364 |
1.967 |
0.136 |
1.031 |
0.631 |
2007 |
0.267 |
1.095 |
0.261 |
0.979 |
0.543 |
Year |
Kazakhstan |
Kyrgyzstan |
Tajikistan |
Turkmenistan |
Uzbekistan |
2008 |
0.288 |
0.452 |
0.267 |
0.596 |
0.396 |
2009 |
0.359 |
0.632 |
0.495 |
0.402 |
0.429 |
2010 |
0.318 |
0.51 |
0.401 |
0.342 |
0.44 |
2011 |
0.387 |
0.419 |
0.309 |
0.314 |
0.508 |
2012 |
0.354 |
0.371 |
0.351 |
0.445 |
0.571 |
2013 |
0.34 |
0.369 |
0.421 |
0.379 |
0.549 |
2014 |
0.339 |
0.37 |
0.653 |
0.593 |
0.712 |
2015 |
0.34 |
0.453 |
1.079 |
0.71 |
0.581 |
2016 |
0.303 |
0.403 |
0.627 |
0.695 |
0.486 |
2017 |
0.24 |
0.408 |
0.421 |
0.774 |
0.644 |
2018 |
0.256 |
0.323 |
0.465 |
1.063 |
0.678 |
2019 |
0.301 |
0.342 |
0.36 |
0.73 |
0.519 |
2020 |
0.387 |
0.631 |
0.499 |
0.872 |
0.835 |
2021 |
0.285 |
0.321 |
0.601 |
1.57 |
0.617 |
Source: Calculated from the unctad.org
Yea r |
Kazakhstan |
Kyrgyzstan |
Tajikistan |
Turkmenistan |
Uzbekistan |
1995 |
0.177 |
0.058 |
0.395 |
0.364 |
0.622 |
1996 |
0.249 |
0.189 |
0.204 |
0.032 |
0.122 |
1997 |
1.125 |
0.048 |
- |
0.045 |
0.091 |
1998 |
0.436 |
0.096 |
0.292 |
0.041 |
0.077 |
1999 |
0.733 |
0.818 |
0.474 |
0.072 |
0.468 |
2000 |
0.650 |
0.645 |
0.321 |
0.066 |
0.506 |
2001 |
1.075 |
2.926 |
0.317 |
0.235 |
0.322 |
2002 |
0.817 |
2.923 |
1.225 |
0.422 |
0.239 |
2003 |
0.708 |
4.280 |
0.519 |
0.701 |
0.564 |
2004 |
0.674 |
5.268 |
0.503 |
0.499 |
0.465 |
2005 |
0.392 |
2.065 |
0.374 |
0.521 |
0.546 |
2006 |
0.214 |
0.099 |
0.250 |
0.362 |
0.479 |
2007 |
0.113 |
0.018 |
0.133 |
0.147 |
0.200 |
2008 |
0.212 |
0.010 |
0.157 |
0.114 |
0.344 |
2009 |
0.223 |
0.013 |
0.243 |
0.059 |
0.127 |
2010 |
0.204 |
0.011 |
0.260 |
0.101 |
0.115 |
2011 |
0.099 |
0.096 |
0.061 |
0.077 |
0.167 |
2012 |
0.156 |
0.010 |
0.122 |
0.036 |
0.089 |
2013 |
0.351 |
0.005 |
0.004 |
0.056 |
0.096 |
2014 |
1.071 |
0.005 |
0.025 |
0.067 |
0.096 |
2015 |
0.413 |
0.016 |
0.087 |
0.298 |
0.163 |
2016 |
0.693 |
0.024 |
0.115 |
0.202 |
0.173 |
2017 |
1.266 |
0.152 |
0.351 |
0.133 |
0.210 |
2018 |
1.062 |
0.028 |
0.098 |
0.556 |
0.136 |
2019 |
1.762 |
0.022 |
0.002 |
0.051 |
0.098 |
2020 |
2.204 |
0.063 |
0.003 |
0.010 |
0.047 |
2021 |
1.527 |
0.003 |
0.075 |
0.564 |
0.057 |
Source: Calculated from the unctad.org
Abbreviations : RC- Revealed Competitiveness CAR- Central Asian Region EII- Export Intensity Index III-Import Intensity Index : RCA- Revealed Comparative Advantage RTA-Revealed Trade Advantage RXA- Revealed Export Advantage RID-Revealed Import Dependence