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Emerging demands on industrial statistics and related data items

Shyam Upadhyaya

International workshop on industrial statistics

8 – 10 July, Beijing

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Outline of presentation

•Current Statistical products of UNIDO

•Emerging demands of industrial statistics

•Some initiatives in obtaining data for resource efficiency

unido.org/statisticsChanging priorities

Output measures remained dominant in UNIDO Statistics for many years

•Annual series of MVA and GDP• Gross and net output by industrial sectors – mining and

quarrying, manufacturing, electricity, gas and water supply at 3- and 4-digit level of ISIC

• Industrial demand supply balance database Apparent consumption = Output + Export - Import

• Quarterly growth trends of global manufacturing output

SDG is expected to shift the priority to input measures •Use of natural resources and energy in industrial production

•Treatment of residuals after the production process

unido.org/statisticsSustainable development goals and

emerging demands on industrial statistics• Measures related to the impact of growing

industrial production on environment

• Efficiency in the use of material resources

• Energy efficiency and increased used of energy from the renewable sources

• Balanced composition of input components

unido.org/statisticsData items for statistical analysis

of the resource efficiency

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Cost items DetailsMaterials

 

Cost of materials and supplies consumed

Raw or processed materials, components, packaging materials, containers and supplies

Energy Fuels (solid, liquid and gaseous fuels)

Electricity (including that from own production)

Services

 

 

Industrial servicesRepair and maintenanceContract and commission work done by otherNonindustrial servicesRental payments (except for land)Transport of finished goodsAdvertisement Insurance, legal and auditing feesOthers…

unido.org/statisticsIndicators of the use of

resources 1. Input output ratio derived from value

added output ratio

2. Share of material input (M) or energy input (E) in total input (IC)

3. Material intensity Use of material resources per unit of output (Y)

4. Energy intensityEnergy use per unit of output

5. Resource intensity Use of material and energy resources per unit of output

Inverse measures indicate efficiency

Output

VA

Output

Input1

100100 IC

Eor

IC

M n

Y

M

Y

E

nEMRwhereY

R

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Compositional analysis of input data

Conceptually, input and output structure is of compositional nature

Output = Intermediate input + Compensation of employees + Operating surplusIntermediate input = material cost + energy cost + service cost

The sample space of this kind of composition is defined in a simplex as;

Attempt has been made to analyze three input components x1 – material cost

x2 - energy cost

x3 - cost of services

%}1001;0|],,[{1

21 orxxxxxXSD

iiiD

D

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Illustration from currently available dataSource: UNIDO Database

unido.org/statisticsExample of compositional analysis

of resource efficiency

A 2×2 matrix is generated from the relation

Output = Input + VA

Hypothesis: resource efficiency is independent from the technology

This hypothesis was rejected due to low value of p = 0.0012

Alternatively, resource efficiency found dependant to technological intensity.

LT HT

Input

X11 X12

VA X21 X22

unido.org/statisticsResults of the log-ratio

transformation

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Indicates the extent of dependence of studies variables

Groups the countries with similar characteristics

unido.org/statisticsPreliminary study of UNIDO on input

data

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Some data/methodology issues

• Different definitions of variables.

• Input data available only as total, no disaggregated data available

• When disaggrgated data are available, the sum of reported input items did not equal to the total input

sum of input items ≠ output – VA

• In some countries – input data are not the part of ASI but captured by the diffrent data collection programme

unido.org/statisticsData items on energy use

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unido.org/statisticsData items on material use

13

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Final remarks

•Statistics of resource efficiency and environmental sustainability are not merely an international agenda

•NSOs will soon be asked to supply these data from official statistics

•In the process of implementing IRIS 2008, NSOs could initiate the ground work on how to respond to emerging demands

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Thank you