INDIA’S EXPERIENCE FOR -COAL -PETROLEUM AND NATURAL GAS CENTRAL STATISTICS OFFICE NATIONAL STATISTICAL ORGANISATION MINISTRY OF STATISTICS AND PROGRAMME

ADAPTION OF BEST PRACTICE TEMPLATE

INDIA’S EXPERIENCE FOR- COAL- PETROLEUM AND NATURAL GAS

CENTRAL STATISTICS OFFICENATIONAL STATISTICAL ORGANISATION

MINISTRY OF STATISTICS AND PROGRAMME IMPLEMENTATIONGOVERNMENT OF INDIA

www.mospi.gov.in

INTRODUCTION

Objective: To meet the information needs of national and international policy makers, administrators and researchers concerned with the energy sector.

Coverage (Sectoral)

◦ Coal,

◦ Petroleum & Natural Gas,

◦ Electricity

◦ New & Renewable Energy.

◦ Nuclear Energy

Energy Statistics

Coverage (Indicators)

i. Production,

ii. Consumption,

iii. Import & Export,

iv. Wholesale Price.

v. Estimated Reserves,

vi. Estimated Potential

vii. Capacity Generation

viii. Energy Commodity Balance

ix. Energy Efficiency Indicators

Energy Statistics

TEMPLATE APPLICABILITY

Petroleum & Natural Gas

Coal and Lignite

1.1. Name Petroleum & Natural Gas Statistics

Coal and Lignite Statistics (www.moc.nic.in)

1.2. Subject area Reserves, Production, consumption, imports and exports of Crude oil, petroleum products, natural gas, crude oil, LNG etc.

Reserves, Production, consumption, imports and exports of coal and lignite

1.3. Responsible authority

Ministry of Petroleum & Natural Gas

Ministry of Coal

1.4. Reference period

Monthly & Annual (Financial year)

Monthly- Production, despatch and pit-head-closing- stock (preceding calendar month)Annual- Annual survey on Coal and Lignite Statistics on different parameters of coal sector (Preceding financial year)

1. Administrative information


Coal and Lignite

1.5. Frequency Monthly/Annual Monthly statistics 1)Estimated figure by 4th of

succeeding month 2)Actual figure by last week

of succeeding month 3)Annual Survey on Coal and

Lignite – Feb-March of next financial year

1.6. Timeliness Preceding month & after six months of financial year end

10 months

1.7. Punctuality No significant delay No significant delay

1.8. Regional level

State State



Coal and Lignite

1.9. Legal authority

Ministry of Petroleum & Natural Gas

Ministry of Coal

1.10. Legal document

Petroleum Acts, Rules, Regulations (www.petroleum.nic.in)

Collection of Statistics Act, 1953

1.11. International reporting

Joint Oil Data Initiative (JODI), B.P. Statistical Review and OPEC Bulletin, etc.

- “Energy statistics- Non-OECD countries” – yearly compilation by IEA.

- compilation of Coal and Lignite Statistics as well as monthly data is sent to IEA directly and coal statistics is sent to UNSD through CSO.



Coal and Lignite

2.1. Purpose and history

To provide oil and gas statistics to users since 1990

Coal Controller's Organisation has been carrying out the task of collection and dissemination of data related to the coal and lignite sector to meet data requirement of the Ministry of Coal, related Ministries and Government Organisations, different research bodies etc. through its publications namely ‘The Coal Directory of India’ and ‘Provisional Coal Statistics’. The data is collected from different coal/lignite companies under the statutory power vested with the Coal Controller under the provisions of Colliery Control Rules, 2004.

2. Background and purpose


Coal and Lignite

2.2. Users and applications

Different Central Ministries/Departments/States Governments/Researchers / policy makers and planners

Govt. BodiesOn regular basis:-1) M/o Coal 2) M/o Statistics and PI3) IBM4) State Govt.5) CIL and SCCL (PSU)

International Bodies1) International |Energy Agency2) UNSD (through CSO)

2. Background and purpose


Coal and Lignite

3.1. Definitions of main concepts and variables

Annexure-I Annexure-2

3.2. Classification scheme

No classification scheme is used

No classification scheme is used

3. Concepts, variables and classifications


Coal and Lignite

4.1. Population

- Population consists of all coal and lignite producing companies in India. Reporting unit of production

4.2 Data sources

Upstream & Downstream Public & Private Sector Companies and Oil Refineries (Public & Private)

Data source is Annual Survey of Coal and Lignite conducted every year.

4.3. Sampling

Not applicable Complete enumeration of all the coal/lignite companies is done. No sampling technique is involved.

4. Statistics production


Coal and Lignite

4.4. Collection of data

Upstream & Downstream Public & Private Sector Companies and Oil Refineries (Public & Private), Office of the Director General of Hydrocarbons (DGH) and Petroleum Planning & Analysis Cell in Ministry of P&NG

Small questionnaire is despatched to every coal and lignite company and they are asked to fill it up within stipulated time and send back to this office by post/ e-mail/fax. However, rigorous persuasion and physical visit are needed in case of non-receipt of filled up questionnaire.

4.5. Control and revision

Fully controlled, if required data revised subsequently

After collection of data from concerned companies, thorough scrutiny is done and in case of ambiguity companies are approached again and data is revised.



Coal and Lignite

4.6. Estimation

Demand & production of oil & gas is estimated for future planning

As there is complete enumeration, no statistical model is used for the purpose of estimation.

4.7 Resource requirements

Man power required Man power required



Coal and Lignite

5.1. Measurement and processing errors

- -

5.2 Non-response errors

- Till recent past, coal sector was not open to private sector However, after allocation of captive coal blocks, number of private operators started producing coal. In spite of that total number of operators (public and private) are about 30. Therefore, cases of non-response are rare. Although monthly data on coal production, despatch, stock are collected on regular basis. Therefore, even though final data for a financial year is not received from a company, cumulating monthly data gives a very good approximation.

5. Sources of error and uncertainty


Coal and Lignite

5.3. Sampling errors No sampling is involved.

No sampling is involved.

5.4 Other sources of error

- Each coal company needs to take permission from O/o Coal Controller before commencement of production. Therefore, scope of coverage error is almost nil. However, some illegal mining takes place in some hilly areas, but its quantity is very small/negligible

5. Sources of error and uncertainty


Coal and Lignite

6.1. Comparability Standard concept and definitions are uniformly followed/adopted across the geographical areas and overtime.

As data is collected through complete enumeration and same reporting unit is maintained across the years, there is no significant difficulty in comparability and coherence.

6.2. Coherence Maintained to a greater extent.

Maintained to a greater extent.

6. Comparability and coherence


Coal and Lignite

7.1. Publications and other links

Annual publication on Basic Statistics on Indian Petroleum & Natural Gas and Indian Petroleum & Natural Gas Statistics. Monthly data and Annual publication on Basic Statistics on Indian Petroleum & Natural Gas are available on Web Site www.petroleum.nic.in

Both the publications namely “Provisional Coal Statistics” and “Coal Directory” are available in M/o Coal website (www.moc.nic.in). Process of hosting website of O/o coal Controller is in progress. Subsequently, links of all the publications will be available in our website.

7.2. Micro data Micro data is available but not disclosed.

Micro data is stored in EXCEL format in CD and it is not for public dissemination.

7. Availability


Coal and Lignite

7.3. Documentation

Monthly production data and annual publication on Basic Statistics on Indian Petroleum & Natural Gas is available on the website.Annual Publication on Indian Petroleum & Natural Gas Statistics is a priced publication

There is no metadata documentation for the statistics.

7.4. Confidentiality

Required confidentiality is maintained as data of individual unit would not be disseminated to any other agency.

Pit-head-value of coal for any company (public or private) is not put into public domain as it may hamper commercial interest of individual company. Mine-wise OMS and grade-wise productions are not disseminated to public.

7. Availability

ADVANTAGES

The templates provide the foundation from which a country’s unique processes can be identified and mapped from.

By mapping processes against best practices non-value added processes can be identified that may have grown in complexity over time and use the opportunity to streamline and standardize them.

They also help identify areas that are unique and important and provide the greatest opportunity to add value.

The templates are important as a springboard for finding better ways to do the task and thus establishing new best practices

The templates have advantages for research and education. ◦ For researchers, these report templates capture

information in a uniform, easily extracted format that facilitates.

◦ Educators find these templates can help trainees learn the important elements of reports in each subspecialty area.

DISADVANTAGES

No major disadvantages except that

◦Template is time consuming and expensive to create. The creation of a comprehensive template takes significant effort.

◦Best practices are not static and are continually being improved upon.

◦There is greater resistance for change.

DIFFICULTIES IN ADAPTION

There are various difficulties involved adopting best practice, key among these are:

Having sufficient knowledge of your own systems and processes to be able to compare against others

Knowing where to find best practices Knowing whether a particular practice is

suitable for your situation and that it will lead to superior performance

Finding the time and other resources for implementing the best practice

If the compilation is uniform over a long period, then only best practice can be adopted.

If design/methodology changes frequently, it becomes difficult to adopt the template.

When system of data collection is well established then only this template can be prepared.

There was no major difficulty in adapting the best practice template to the Statistics of Coal and Petroleum & Natural Gas as the system of Statistical production is already in place.

Next, the template will be attempted for Electricity and the sectors where the data is generated as a by-product of implementations of schemes like New and renewable resources.

ConclusionIn case of India

Long-term strategy for adopting best practice template

The long-term strategy for adopting best practice template should be designed to reflect the costs and benefits involved in the collection of data from different sources.

First, and of greatest importance, there should be a programme for maintaining and developing the best practice template regularly, with the aim of bringing about any desired improvements in accuracy, coverage, detail, timeliness and frequency.

Secondly, there should be a separate best practice template designed to cover those industrial and other organizations that are engaged in supplying energy as a secondary activity.

Documents

INDIA’S EXPERIENCE FOR -COAL -PETROLEUM AND NATURAL GAS CENTRAL STATISTICS OFFICE NATIONAL STATISTICAL ORGANISATION MINISTRY OF STATISTICS AND PROGRAMME