11th Oslo WG Meeting Data Collection and Quality issues Mr R Kwinda Deputy Director: Data Quality and Integrity

CONTENT What do we need Energy Statistics for? Definitions Current state of demand and production of Energy Statistics (4) Dealing with the challenges (5) Ministry of Energy Data collection activities

What do we need statistics for? 1 To monitor development 1 Resource allocation Detailed analysis Design of interventions Programmes Projects Socioeconomic development Statistics Programmes Budget Monitoring progress Assess impact on policies programmes Reporting on outcomes Activities (capacity) Tasks Outcome

What do we need Energy statistics for? 2 To facilitate democracy About policies, strategies, targets Promote social debate For advocacy of view points Statistical literacy Economic literacy Democracy Statistics Promotion in Government transparency & accountability For promoting participation Debate facilitation Outcomes

Definitions Official Energy statistics’ definition is statutory – see Statistics Act [No. 6 of 1999] Practical criteria of official statistics Must be used in the public domain Are from organs of state and other agencies that are partners in the National Statistics System [NSS] Are sustainable Have met quality criteria as defined by the Statistician-General [SASQAF] National statistics’ definition is implicitly statutory Official statistics are statistics designated as official statistics by the Statistician-General within the provisions of the Statistics Act National statistics are statistics not designated as official statistics by the Statistician-General

The current state of Energy Statistics Not “enough” energy statistics to meet user needs, especially sub-national or small area statistics Lack of quality in statistics – Inadequate quality drivers – enumeration frames - geography enumeration areas address register - business register No common or shared standards – quality framework - Statistical system fragmented – many isolated producers duplication respondent fatigue - Statistics not comparable - Many are irrelevant Lack of capacity to produce them

Demand for information Current state of demand and production of statistics Demand for information [user groups or indicator categories] Provincial & local levels Official Statistics Unknown quality & Insufficient statistical skills Uncertain quality Insufficient supply of energy statistics Insufficient statistical skills Ministry of Energy & Stats SA Other producers [departments, SoE’s, etc] Service providers

Dealing with the challenges: Choices 1 Do nothing – maintain status quo Consequences Not enough reliable evidence to show the effectiveness of our programmes inform planning – especially for vulnerable social groups make policy decisions At best we monitor inputs, processes & outputs rather than outcomes & impact

Dealing with the challenges : Choices 2 Do nothing – maintain status quo Consequences Confuse users: whose statistics to use? Depend on (often unrealistic) imputed data by unknown statistical houses; or from sample surveys by private sector/businesses and service providers Waste resources through duplication of effort the cost incurred through using incorrect information

Dealing with the challenges : Choices 3 3 Do something – put in place a strategy: implement change Consequences We chose change: To put organisational processes in place to address the THREE DEMAND ISSUES: To have “enough” statistics for users To ensure quality in the statistics (both extant and planned) To facilitate the building of statistical capacity The organisational process for meeting demand for official statistics is the National Statistics System (NSS).

Collaboration (Ministry, StatsSA etc) Energy Statistics transformation tool Status quo Collaboration (Ministry, StatsSA etc) Desired state User-producer Partnerships Insufficient coverage Meeting User needs transformation Certification & Standards (IRES, ESCM etc.) Good quality statistics Uncertain quality transformation Capacity building Inadequate capacity Statistical skills coordination

Destination/outcomes Demand is met Adequate information Reliable information [quality, sustainable] Sufficient skills Feedback Regulatory environment Statistics Law Governance structure Quality standards Advocacy programme Code of conduct Feedback Coordination Other producers [departments, CSOs, etc] Service providers Ministry of Energy

Data collected by the Dir. Product Data Sets & the Format Sources Frequency Storage Energy Balances Coal – Spreadsheet emailed Imports & Exports: KG Production, Transf. & End-Use: T Gas-Spreadsheet emailed NON-Crude - Spreadsheet emailed Petroleum - Spreadsheet emailed Consumption Figures? Electricity - Spreadsheet emailed / Reports Electricity Sales Figures: MWh / GWh Generation Data + Sales Figures: Energy Loses Electricity Used For Own Generation Electricity Used by Coal Mine Electricity Used by Refineries Electricity Imp & Exp SARS DMR Sasol-Gas/Total/e-Gas? SASOL-GAS Oil Companies? Eskom NERSA ESKOM SAPIA Annually Annually? Annually - Feb Annually - Sept Annually - July Annually ? ALL DATA STORED IN THE CENTRAL DATABASE

Data collected by the Dir. Cont.. Products Data Sets & the Format Sources Frequency Storage Energy Prices Report Coal – Spreadsheet emailed Average Local Sales (FOR)&Exports (FOB): R/t Local Coal Prices: R/t Gas Tariffs – Spreadsheet emailed: c/GJ Crude – Spreadsheet/SAPIA/CEF Reports Crude Oil Prices: US$/bbl & US$/bbl mod Crude Oil & Product Price: c/l Petroleum – DOE Web Brent & Mogas: US$/bbl & c/l Petrol, Diesel, Paraffin Prices c/l Liquefied Petroleum Gas (LPG): R/t Economic Indicators – Spreadsheet/Web Consumer Price Index CPI Production Price Index PPI Foreign Exchange Rates Electricity: c/kWh – Spreadsheet/Web Eskom Domestic Tariffs: Eskom Revenue per Customer Category: Mineral Resources .SASOL-GAS SAPIA & CEF SAPIA DOE CEF Stats SA SARB ESKOM Annually Annually – Jan/Feb Monthly receipt Annually & Monthly Annually - Jul ALL DATA STORED IN THE CENTRAL DATABASE

Data collected by the Dir. Cont.. Product Data Sets & the Format Sources Frequency Storage Fuel Sales/consumption Report Exploration data Template JODI Oil and JODI Gas template Fuel Sales Volume Data Spreadsheet emailed Exploration, African Petroleum producers association Data Spreadsheet emailed Crude Oil/ Natural Gas production , import and exports ; petroleum and Natural Gas Products Spreadsheet emailed Oil Companies Oil companies and PASA (Petroleum Association of South Africa) JODI Oil: Oil companies JODI Gas: SASOL gas and Petro SA for Monthly Annually ALL DATA STORED IN THE DATABASE

Data quality gaps…………… Quality gaps identified include, among others, incomplete data/questionnaire, wrong conversions used, wrong reference period, capacity, non-availability of data etc. Data quality: Questionnaires are not always correctly populated by data providers. No thorough documentation of all processes and standards and ensure continuous quality assessment. Not enough energy statistics is collected Capacity to produce quality and statistics on a sustainable bases.

Addressing quality challenges…… National Energy Act of 2008 (Regulations on Mandatory provision of Energy Data) Collaboration through MoU’s and SLA’s with other stakeholders Standard Operating Procedures (SoP’s) for the Statistical Value Chain (SVC) Oslo Working group on Energy Statistics/IEA and implementation of both the ESCM and the IRES IMF’s SDDS & GDDS (Spatial Data Dissemination Standards & General Data Dissemination Standards) also helpful. New Database system (CEID) data collection questionnaires/forms) )

Addressing quality challenges….…..cont Business Rules for data processing and compilation Petroleum questionnaire training continuing (of data providers) IEF/IEA and AFREC Training

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