GAIN Training Guidebook
The GAIN Training Guidebook is a tool aimed at laying down the main foundations in terms of knowledge and practice in order to allow country-ownership of Green Jobs Assessment Models. It is based on Input Output Analysis, grounded in national accounting systems, and allows investigating the quantitative effect of green policies on employment. The training guidebook can be used by policy-makers, statisticians, analyst and researchers in ministries of finance, planning, labour and environment, national statistics offices, employer’s organisations and international organisations.
The GAIN Training Guidebook has four basic modules:
Training Module 1:This module is intended for policy-makers and for other decision-makers involved in the planning, formulation and implementation of policy. The users are not expected to be technical experts in modelling and not necessarily those who undertake the assessment work. Rather, they are those likely to commission or mandate assessments and to receive the results of assessments.
Introduction to Green Economy and Labour Market Assessments
Training Module 2:
Assessment Tools: Inventories and Surveys as Sources of Data on Employment in the Environmental Sector and Green Jobs
The second module of the training guidebook targets statisticians and analysts seeking to estimate total direct employment in the environmental sector, and in each of its green sub-industries, and green jobs. It describes how data from inventories and surveys can be used for this purpose.
Training Module 3:
Building Input-Output Based Employment projection Models with Expanded Green Industries (Green EPMs)
This module is meant for analysts who seek to build employment projection models using input-output tables (IOT) and expand them to distinguish green industries and project green jobs. The reader will find familiarity with matrix algebra helpful. After understanding the functioning of IOT, the document explains how to build a static short-term IO model that projects output and employment from policy scenarios, which are modelled as changes in final demand or investment.
Training Module 4:
From IO and Supply-and-Use to Social Accounting Matrix Analysis
The last module of the training guidebook is intended for analysts seeking to explore foundations and extensions of IO analysis through supply-and-use-tables (SUTs) and social accounting matrices (SAMs), which allow the study of income distribution, inequality and induced effects (the employment and output effects of household spending). Similarly to Module 3, the reader will find familiarity with matrix algebra helpful.