A Live Case Study

Embed Size (px)

Citation preview

  • 8/3/2019 A Live Case Study

    1/29

  • 8/3/2019 A Live Case Study

    2/29

    2

    Background to the Study

    Textiles and engineering goods constitute very importantcategories of Indias export basket, together accountingfor over 35% of Indias total exports (in dollar terms) in2007-08

    The aggregate share of these two sectors has come downfrom 39.5% in 2003-04 to 35.1% in 2007-08.

    Share of textiles export has come down steeply from20.0% in 2003-04 to 12.0% in 2007-08

    Share of engineering goods has increased from 19.4%to 23.1% over the same period.

  • 8/3/2019 A Live Case Study

    3/29

    3

    Background to the Study

    Export performance of engineering goods and thatof textiles and clothing sector has been analysed indetails first on 2 digit level and then on 6 digit levelfor select items.

    Analysis of data in selected categories indicates

    Consistently good performance of engineeringgoods export and the fluctuating and mostly poorperformance of the textile exports hint at

    exchange rate neutrality and influence of otherfactors on exports.

    Therefore, the study also examines the non-pricefactors affecting the export of these commodities.

  • 8/3/2019 A Live Case Study

    4/29

    4

    Objective of the Study The broad objective of the study is to analyse the export

    performance of the Textiles and the Engineering goods sector inIndia with a view to suggest policy for improving performance. Thisbroad objective can be divided into three sub-objectives:

    1) To determine the determinants of exports in these sectors

    2) To determine the major problems faced by the exporters in thesectors

    3) Based on (1) and (2) Suggest policy measures for improvingexport performance

    Objective 1 has been further divided into the following parts:

    To review the policy changes affecting the Textile & Engineeringexports with a focus on exchange rate policies.

    To examine the criticality of exchange rate in affecting thecompetitiveness of textile & engineering goods exports. (Pricevs. Non-price factors)

  • 8/3/2019 A Live Case Study

    5/29

    Sample Survey

    Samples are designed based on stratified sampling.

    The stratification samples are value of exports andNIC codes.

    from each NIC codes firms with high and low valuesof export are included.

    different NIC codes represent different categories oftextile and clothing and engineering firms.

  • 8/3/2019 A Live Case Study

    6/29

    FGDs, Locational & Sectoral Distribution

    Location Date Jointly With SectorCovered

    Questionnaire

    Received

    Bangalore 30th May VITC & FIEO

    (with support from

    FKCCI, AEPC,EEPC)

    Textile &

    Engineering

    12 (T)

    6 (E)

    Chennai 1st June EEPC Engineering 40

    Karur 2nd June Karur Textile

    Manufacturer &ExportersAssociation.

    Textile 19

    Tirupur 3rd June Tirupur ExportersAssociation

    Textile 10

  • 8/3/2019 A Live Case Study

    7/29

    FGDs, Locational & Sectoral Distribution

    Location Date Jointly With SectorCovered

    Questionnaire

    Received

    Mumbai 9th June TEXPROCILE Textile 19

    Pune 10th June MCCAI & MIT Schoolof Telecom &

    Management Studies

    Engineering 40

    Ahmedabad 11th June Gujarat Chamber ofCommerce and

    Industries

    Textile &

    Engineering

    2(T)

    3 (E)

    Kandla 12th June GandhidhamChamber ofCommerce

    Textile &Engineering

    5 (T)5 (E)

  • 8/3/2019 A Live Case Study

    8/29

    FGDs, Locational & Sectoral Distribution

    Location Date Jointly With SectorCovered

    Questionnaire

    Received

    Vadodara 12th June SanjeeveniInternational

    Business

    Consulatants,Vadodara.

    Textile &

    Engineering

    5

    Mumbai 19th June EEPC Engineering 12

    Ludhiana June -

    July

    Regional Jt.

    DGFT

    Textile &

    Engineering

    18(T)

    30(E)

    Kolkata 23rd July Regional Jt.DGFT

    Textile &

    Engineering

    5 (T)

    10 (E)

  • 8/3/2019 A Live Case Study

    9/29

    Clusters & SEZs Covered

    The clusters which are covered are

    Tirupur Knitwear

    Karur Home made linens

    Chennai Automobile

    SEZs Kandla

    Falta

  • 8/3/2019 A Live Case Study

    10/29

    Research Design

    Broadly two categorization:

    1) Exchange rate fluctuations and currency hedging

    2) Identifying non-price factors affecting exportperformance

    Non price factors identified include:

    Technological changes

    Foreign ownership and cross-border ventures

    Effective utilization of human capital

    Business Environment and governmentpolicy rules and regulations

    Credit Availability

    Barriers on Trade, including NTBs

    Exim documentation procedures and logistics

  • 8/3/2019 A Live Case Study

    11/29

    Survey Results Regarding Price-factorsVariables Incorporated Results

    Currency in which exports are done

    US Dollar 70%

    Euro 20%

    Pound 5%

    Yen ----

    Others 5%

    Exchange rate affects export performanceYes 95%

    No 5%

    During April 2007 to March 2008 rupee appreciation has affectedexport performance

    Yes 75%

    No 25%

    Exchange rate appreciation is taken into account while quoting priceYes 60%

    No 40%

    Price level negotiated every time export deal is stuckYes 30%

    No 70%

    If rupee appreciates by 5-10% what extent price changes?

    0-5% 70%

    5-10% 20%

    10-20% ----

    20-30% ----

    >30% ----

  • 8/3/2019 A Live Case Study

    12/29

    Survey Results Regarding Price-factors

    Whether hedging is undertaken?Yes 50%

    No 50%

    What type of hedging is undertaken?

    ForwardHedging 100%

    Future Hedging ----

    Option

    Hedging ----Others ----

    Hedging strategy guided by various schemes offered by banks

    Yes 20%

    No 15%

    Dont know 65%

    Hedging strategy guided by similar practice in the sector as a wholealthough unaware of the adverse consequences.

    Yes 10%

    No 10%

    Dont know 70%

    Has RBI taken enough initiatives to facilitate exporters in adoptingcorrect hedging strategy?

    Yes 30%

    No 10%

    Dont know 60%

    Benefited from rupee depreciation during April 2008 to March 2009

    Yes 15%

    No 80%

  • 8/3/2019 A Live Case Study

    13/29

    Survey Results Regarding Price-factors

    Importance of exchange rate in a scale 1 to 7 (1 very low, 7very high)

    1 ----

    2 ----

    3 10%

    4 20%

    5 40%

    6 25%

    7 5%

    Importance of non price factor in a scale 1 to 7 (1 very low, 7very high)

    1 ----

    2 10%

    3 40%

    4 30%

    5 15%

    6 5%

    7 ----

    Engineering firms reporting exchange rate as >=5 35%

    Textile firms reporting exchange rate as >=5 65%

  • 8/3/2019 A Live Case Study

    14/29

    Exchange Rate & Export

    The notion in the field about the exchange rate ismuch stronger.

    Among the exporters surveyed, more than 70%

    have rated exchange rate as one of the mostimportant factor affecting export performance.

    Interestingly, in our survey result 65% of the textilefirms have rated the importance of exchange rate at>=5; while the same for the engineering firms

    surveyed is only 35%.

  • 8/3/2019 A Live Case Study

    15/29

    Exchange Rate & Export

    It appears that since the primary level survey was conducted at atime when the economy was in the throes of depression, some ofthe hardships faced by exporters due to the meltdown added to thewoes due to rupee appreciation.

    This is especially true for textile exporters who not only operate with

    lower profit margins and hence are more vulnerable to exogenouschanges but also because their exports were more severely affected bythe meltdown than that of engineering exporters.

    Further as the gestation period is much shorter for the textile export thanthat of engineering exports, textile export orders are more prone tocancellation than that of engineering sector.

  • 8/3/2019 A Live Case Study

    16/29

    Exchange Rate & Export

    Currency rates as on 10th ofevery month

    Month USD EURO10.1.2007 44.53 57.73

    10.2.2007 44.05 57.45

    10.3.2007 44.28 58.21

    10.4.2007 42.91 57.32

    10.5.2007 40.98 55.43

    10.6.2007 40.98 54.34

    10.7.2007 40.38 54.88

    10.8.2007 40.63 55.4

    10.9.2007 40.71 55.73

    10.10.2007 40.50 55.62

    10.11.2007 39.33 57.5

    10.12.2007 39.40 57.52

    10.1.2008 39.29 57.5

    24% Appreciated

    Forward Covers Done Here

  • 8/3/2019 A Live Case Study

    17/29

    Month USD EURO10.2.2008 39.55 57.73

    10.3.2008 40.56 57.92

    10.4.2008 40.00 62.95

    10.5.2008 41.67 64.19

    10.6.2008 42.85 66.78

    10.7.2008 42.98 67.91

    10.8.2008 41.94 62.82

    10.9.2008 45.11 63.81

    10.10.2008 48.68 65.97

    10.11.2008 47.29 60.81

    10.12.2008 49.13 63.56

    10.1.2009 49.09 66.99

    10.2.2009 48.69 62.43

    10.3.2009 51.55 64.74

    23% Depreciated

    US Crisis

    Exchange Rate & Export

  • 8/3/2019 A Live Case Study

    18/29

  • 8/3/2019 A Live Case Study

    19/29

    Exchange Rate & Export

    Sudden excessive volatility makes the task of managingexchange rate risk very difficult for exporters who run amulti-currency balance-sheet.

    And, in a classic case of a double whammy, suddenly

    rupee depreciation was not the only problem facing thesecompanies.

    Some organizations had hedged some percentage of theirfuture receivables, based on projections for thebusiness. Unfortunately, the crisis had the effectof causing orders to dry up such that even maintainingthe past year's order levels became difficult, let aloneachieving growth.

  • 8/3/2019 A Live Case Study

    20/29

    Exchange Rate & Export

    Among interviewed exporters during the survey almost 50 per centundertook forward hedging, but among them 70 per cent didntknow about RBIs initiatives / guidelines on derivative hedging orthought that RBI has not taken enough steps.

    During mid - 2007 when rupee started appreciating, many

    manufacturers faced difficulties by way of 10 to 15 per cent drop inthe revenue. They could not find any way of compensating this fromthe overseas customers. During this period some foreign bankslured the manufacturer-exporters and entered into derivativecontracts.

    Mostly the clients in manufacturing sectors are less informed on the

    complex clauses of the contracts. Their sole objective is to protectthe revenue/limit the risks.

    RBI has framed guidelines to regulate derivative transaction in orderto protect customers from major risks. The foreign banks oftenoverlook these regulations and make unequal contracts andleverage to their advantage.

  • 8/3/2019 A Live Case Study

    21/29

    Non Price Factors

    The feedback received from exporters indicate that non-pricefactors also affect their export performance adequately.

    Among the non-price factors, the importance of the followinghave been highlighted by the exporters

    Availability of Credit

    Technological Modernization Cross-Border ventures and foreign interest in your firm Training of the workforce Labour Market Regulations and trade unions Export Documentation and Logistics Tariff and Non-Tariff Barriers

    At least 70 per cent of the exporters have reported thatavailability of credit is the major non price factor affecting theirexport performance and have rated as more than 5 in the scaleof 1-7. 40 per cent graded logistic as 5 and same for labourmarket.

  • 8/3/2019 A Live Case Study

    22/29

    Non - Price Factors Affecting Cotton-Textile Sector

    The Indian textile industry has been one of the foremost contributors to thecountry's employment, exports, and GDP. Globally, the Indian industry isrecognized for its competitive advantages, especially in the cotton segment.

    Currently the textile industry is one of the worst hit sectors in India, asalmost 50 per cent of the industry is dependent on exports.

    India has doubled the production of cotton in five years and has sufficientcotton to feed the growth of the industry. India is the second largestproducer today and has also become the second largest exporter of cotton.This means that India has a clear advantage on the cost of cotton.

    However, in reality, it is not necessarily true the relative advantage ofIndia vis--vis competing countries like Bangladesh, Pakistan, Vietnam,Indonesia and Thailand has come down, with the gap between Indian cottonprice and that of the other countries reducing over the last five years due tothe acceptance of Indian cotton by other nations and large scale exportsfrom India.

  • 8/3/2019 A Live Case Study

    23/29

    Non - Price Factors Affecting Cotton-Textile Sector

    The most alarming point is that the landed cost of Indian popularcotton Shankar 6 is cheaper or equal for mills near the ports in the fareastern countries and Pakistan and Bangladesh by road as against thesame for the south Indian mills (Tamil Nadu has the maximum numberof spinning mills in India).

    Road transport is much more expensive than sea transportation, e.g. it

    costs $50 (Rs 2,500) to transport 150 bales from Mumbai to China and itcosts Rs. 75,000 to transport it from the place of production in north andwestern India to Tamil Nadu.

    Further, in a falling global market where prices were falling across theboard, the Government hiked the minimum support price (MSP) of rawcotton by 40 per cent, making the raw material expensive for the local

    industry, when on the other hand the price of end products werefalling. The industry started experiencing a squeeze both ways.

    We have a restriction on labor flexibility, making it very difficult for thegarment industry, which has seasonal loads of work thereby allowingvery limited space for companies to adjust to the changing times andseasonal demands.

  • 8/3/2019 A Live Case Study

    24/29

    Non - Price Factors Affecting Cotton-Textile Sector

    High power tariff and frequent power cut is one of the majorproblems faced by the exporters. Tirupur exporters reportedlyfaced an increase in cost of production by three times due to theuse of generating system

    Fuel / energy cost for textiles industry: India 8.87 cents / Kwh

    China 6.04 cents / kwh

    Indonesia 3.65 cents / Kwh

    Bangladesh 3.45 cents / Kwh

    In India, the high incidence of taxes on industrial fuels andshortage of power from the grid have pushed up the cost ofproduction costs.

  • 8/3/2019 A Live Case Study

    25/29

    25

    Problems in Engineering Sector Due to Global Meltdown

    The hostility in the global trading environment is nowaffecting engineering sector too which is now facingconsiderable demand problem in global markets and areunder acute distress.

    Certain segments of Indian engineering industry such as

    hand tools, bicycle and parts, castings, auto components,and similar other low value added engineering units are inno way different from the textile and leather sector, interms of their shrinkage in demand leading to loss ofoutput and employment. However, the Government hasconsciously refrained from supporting the engineeringsector as there is a belief that engineering exports will pull

    through.

  • 8/3/2019 A Live Case Study

    26/29

    26

    Problems in Engineering Sector Due to Global Meltdown

    Banks are not issuing letter of credit due to credit non availabilityin various countries. LCs are being restricted to counters ofcertain banks who are overcharging Indian exporters as bankswant to increase their own revenues by way of bank chargeswhich is totally unregulated in India as any bank can charge anything and there is no transparency or restrictions in place.

    EU and North America, which so far attracted 40% of Indiasengineering exports but are facing sever crisis at present. Asorders from western markets like the US and Europe shrankdrastically, Indian engineering companies were compelled toreduce their output levels and resort to lay-offs for cutting costs.Consequently, they were compelled to revamp their production

    lines and reduce their work hours. Reduced output and decliningsales growth also compelled units to lay off their workers. Largeno. of SMEs are running under capacity resulting in half a millionjob losses in the last few months.

  • 8/3/2019 A Live Case Study

    27/29

    Policy Recommendations

    There is a notion that in the present system, RBI is mandatedwith numerous objectives managing public debt, exchange rate,and finding a balance between growth and inflation. These tasksoften come in conflict with each other.

    For example, according to RBI circulation (Dated 13th July,2007), the Government has decided to provide interestsubvention of 2 percentage points p.a. to all scheduledcommercial banks in respect of rupee export credit to thespecified categories of exporters in textile, readymadegarments and engineering sectors among other sectors. Butaccording to the feed back received from exporters, suchcirculars do not often reach them in time and where exportersdo get such circulars there exist some confusions regardingthe implementation.

    RBI may ensure that most of the circulars that benefitexporters particularly with regards to credit are adhered to bythe implementing agencies, viz. the commercial banks. Forthis, RBI can make the exporters aware of the existence ofthe banking ombudsmen and the later should also be madeaware of the problems faced by the exporters in this regard.

  • 8/3/2019 A Live Case Study

    28/29

  • 8/3/2019 A Live Case Study

    29/29

    Policy Recommendations

    Among other issues that have emerged during interaction withindividual exporters:

    Exporters have suggested for the creation of special purposevehicle (SPVs), a mechanism through which exporters can sharethe exchange rate risk with the RBI, with a premium which can be

    collected from exporters at the time of beneficial exchange rate forthem, i.e. when dollar appreciates.

    We, however, strongly believe that such a suggestion is notworkable.

    However, RBI can encourage initiation of cross-currency option

    trading in a limited way, in line with currency futures trading.This shall facilitate exporters who hedge against foreignexchange risk exposure only through forward hedging (as ourprimary survey results have suggested, 100 per cent exportersin the sample who hedged, used only forward hedging).