def economic_sectors_regional_MISTRAL():
    """
    Reginal sector ID with description from
    economic_sectors_regiona.csv of MISTRAl
    population/economic simuations

    match_int: Integer of GVA input
    """
    lookup_dict = {'mining': {'match_int': 2, 'description':
        'Mining & quarrying'}, 'food_production': {'match_int': 3,
        'description': 'Food, drink & tobacco'}, 'tobacco': {'match_int': 3,
        'description': 'Food, drink & tobacco'}, 'textiles': {'match_int': 
        4, 'description': 'Textiles etc'}, 'wood': {'match_int': 5,
        'description': 'Wood & paper'}, 'paper': {'match_int': 5,
        'description': 'Wood & paper'}, 'printing': {'match_int': 6,
        'description': 'Printing & recording'}, 'chemicals': {'match_int': 
        8, 'description': 'Chemicals, etc'}, 'pharmaceuticals': {
        'match_int': 9, 'description': 'Pharmaceuticals'}, 'beverages': {
        'match_int': 29, 'description': 'Food & beverage services'},
        'fabricated_metal_products': {'match_int': 11, 'description':
        'Metals & metal prods'}, 'electrical_equipment': {'match_int': 12,
        'description': 'Electronics'}, 'non_metallic_mineral_products': {
        'match_int': 10, 'description': 'Non-metallic min. prods.'},
        'motor_vehicles': {'match_int': 15, 'description':
        'Motor vehicles, etc'}, 'machinery': {'match_int': 14,
        'description': 'Machinery, etc'}, 'waste_collection': {'match_int':
        19, 'description': 'Water, sewerage & waste'},
        'water_collection_treatment': {'match_int': 19, 'description':
        'Water, sewerage & waste'}, 'other_manufacturing': {'match_int': 17,
        'description': 'Other manuf. & repair'}, 'education': {'match_int':
        40, 'description': 'Education'}, 'health': {'match_int': 41,
        'description': 'Health'}, 'hospitality': {'match_int': 28,
        'description': 'Accomodation'}, 'offices': {'match_int': 35,
        'description': 'Head offices & manag. cons.'}, 'retail': {
        'match_int': 23, 'description': 'Retail trade'}, 'storage': {
        'match_int': 27, 'description': 'Warehousing & postal'}}
    return lookup_dict
