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Data, methodology and outputs may change without warning._ + +This repository contains the code and data for ONE's research on the net flows (concessional and non-concessional) +received by developing countries. \ No newline at end of file diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..e0bb027 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,1304 @@ +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. + +[[package]] +name = "anyio" +version = "4.2.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.8" +files = [ + {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"}, + {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} +idna = ">=2.8" +sniffio = ">=1.1" +typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} + +[package.extras] +doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (>=0.23)"] + +[[package]] +name = "attrs" +version = "23.2.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.7" +files = [ + {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"}, + {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"}, +] + +[package.extras] +cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] +dev = ["attrs[tests]", "pre-commit"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] +tests = ["attrs[tests-no-zope]", "zope-interface"] +tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] +tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] + +[[package]] +name = "bblocks" +version = "1.2.1" +description = "A package with tools to download and analyse international development data. 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a/raw_data/ids_data/DT.DIS.PRVT.CD_2010-2022.feather b/raw_data/ids_data/DT.DIS.PRVT.CD_2010-2022.feather new file mode 100644 index 0000000..530a4cf Binary files /dev/null and b/raw_data/ids_data/DT.DIS.PRVT.CD_2010-2022.feather differ diff --git a/raw_data/table2a_raw.feather b/raw_data/table2a_raw.feather new file mode 100644 index 0000000..8309693 Binary files /dev/null and b/raw_data/table2a_raw.feather differ diff --git a/scripts/CHANGELOG.MD b/scripts/CHANGELOG.MD new file mode 100644 index 0000000..6fc48fc --- /dev/null +++ b/scripts/CHANGELOG.MD @@ -0,0 +1,3 @@ +# 2024-01-18 +The repository was first created with the basic structure, +dependency management, description, etc. \ No newline at end of file diff --git a/scripts/config.py b/scripts/config.py index f02a0b1..aa81eee 100644 --- a/scripts/config.py +++ b/scripts/config.py @@ -1,3 +1,4 @@ +import logging from pathlib import Path @@ -8,3 +9,30 @@ class Paths: raw_data = project / "raw_data" output = project / "output" scripts = project / "scripts" + + +CONSTANT_BASE_YEAR: int = 2022 +PRICES_SOURCE: str = "imf" +ANALYSIS_YEARS: tuple = (2010, 2022) + +# Create a root logger +logger = logging.getLogger(__name__) + +# Create the terminal handler +shell_handler = logging.StreamHandler() + +# Set levels for the logger, shell and file +logger.setLevel(logging.DEBUG) +shell_handler.setLevel(logging.DEBUG) + +# Format the outputs +fmt_shell = "%(levelname)s %(message)s" + +# Create formatters +shell_formatter = logging.Formatter(fmt_shell) + +# Add formatters to handlers +shell_handler.setFormatter(shell_formatter) + +# Add handlers to the logger +logger.addHandler(shell_handler) diff --git a/scripts/data/README.md b/scripts/data/README.md new file mode 100644 index 0000000..da84f64 --- /dev/null +++ b/scripts/data/README.md @@ -0,0 +1,9 @@ +# Data +This module contains scripts to get and process the data used in the analysis. + +## inflows.py +This script downloads and processes the data debt inflows from the +World Bank's [International Debt Statistics](https://datacatalog.worldbank.org/dataset/international-debt-statistics) +database. + +The data is saved in the `raw_data` folder. The processed data is saved in the `output` folder. \ No newline at end of file diff --git a/requirements.txt b/scripts/data/__init__.py similarity index 100% rename from requirements.txt rename to scripts/data/__init__.py diff --git a/scripts/data/common.py b/scripts/data/common.py new file mode 100644 index 0000000..72b529d --- /dev/null +++ b/scripts/data/common.py @@ -0,0 +1,180 @@ +import logging + +import pandas as pd +from bblocks import convert_id + +logging.getLogger("country_converter").setLevel(logging.ERROR) + +def multilateral_mapping() -> dict: + return { + "African Dev. Bank": "African Development Bank", + "African Export-Import Bank": "African Export Import Bank", + "Arab African International Bank": "Arab African International Bank", + "Arab Bank for Economic Dev. in Africa (BADEA)": ( + "Arab Bank for Economic Development in Africa" + ), + "Arab Fund for Tech. Assist. to African Countries": ( + "Arab Fund for Technical Assistance to African Countries" + ), + "Arab International Bank": "Arab International Bank", + "Arab League": "Arab League", + "Arab Monetary Fund": "Arab Monetary Fund", + "Arab Towns Organization (ATO)": "Arab Towns Organization", + "Asian Dev. Bank": "Asian Development Bank", + "Asian Infrastructure Investment Bank": "Asian Infrastructure Investment Bank", + "Bank for International Settlements (BIS)": "Bank for International Settlements", + "Bolivarian Alliance for the Americas (ALBA)": ( + "Bolivarian Alliance for the Americas" + ), + "Caribbean Community (CARICOM)": "Caribbean Community", + "Caribbean Dev. Bank": "Caribbean Development Bank", + "Center for Latin American Monetary Studies (CEMLA)": ( + "Center for Latin American Monetary Studies" + ), + "Central American Bank for Econ. Integ. (CABEI)": ( + "Central American Bank for Economic Integration" + ), + "Central American Bank for Econ. Integration (BCIE)": ( + "Central American Bank for Economic Integration" + ), + "Central Bank of West African States (BCEAO)": ( + "Central Bank of West African States" + ), + "Corporacion Andina de Fomento": "Corporacion Andina de Fomento", + "Council of Europe": "Council of Europe", + "Dev. Bank of the Central African States (BDEAC)": ( + "Development Bank of the Central African States" + ), + "East African Community": "East African Community", + "Eastern & Southern African Trade & Dev. Bank (TDB)": ( + "Eastern and Southern African Trade and Development Bank" + ), + "ECO Trade and Dev. Bank": "ECO Trade and Development Bank", + "Econ. Comm. of the Great Lakes Countries (ECGLC)": ( + "Economic Community of the Great Lakes Countries" + ), + "Economic Community of West African States (ECOWAS)": ( + "Economic Community of West African States" + ), + "Eurasian Development Bank": "Eurasian Development Bank", + "EUROFIMA": "EUROFIMA", + "European Bank for Reconstruction and Dev. (EBRD)": ( + "European Bank for Reconstruction and Development" + ), + "European Coal and Steel Community (ECSC)": ( + "European Coal and Steel Community" + ), + "European Development Fund (EDF)": "European Development Fund", + "European Economic Community (EEC)": "European Economic Community", + "European Free Trade Association (EFTA)": "European Free Trade Association", + "European Investment Bank": "European Investment Bank", + "European Relief Fund": "European Relief Fund", + "European Social Fund (ESF)": "European Social Fund", + "European Union": "European Union", + "Fondo Latinoamericano de Reservas (FLAR)": "Fondo Latinoamericano de Reservas", + "Food and Agriculture Organization (FAO)": "Food and Agriculture Organization", + "Foreign Trade Bank of Latin America (BLADEX)": ( + "Foreign Trade Bank of Latin America" + ), + "Global Environment Facility": "Global Environment Facility", + "Inter-American Dev. Bank": "Inter-American Development Bank", + "International Bank for Economic Cooperation (IBEC)": ( + "International Bank for Economic Cooperation" + ), + "International Coffee Organization (ICO)": "International Coffee Organization", + "International Finance Corporation": "International Finance Corporation", + "International Fund for Agricultural Dev.": ( + "International Fund for Agricultural Development" + ), + "International Investment Bank (IIB)": "International Investment Bank", + "International Labour Organization (ILO)": "International Labour Organization", + "International Monetary Fund": "International Monetary Fund", + "Islamic Dev. Bank": "Islamic Development Bank", + "Islamic Solidarity Fund for Dev. (ISFD)": "Islamic Solidarity Fund for Development", + "Latin Amer. Conf. of Saving & Credit Coop. (COLAC)": ( + "Latin American Conference of Saving and Credit Cooperation" + ), + "Latin American Agribusiness Dev. Corp. (LAAD)": ( + "Latin American Agribusiness Development Corporation" + ), + "Montreal Protocol Fund": "Montreal Protocol Fund", + "Nordic Development Fund": "Nordic Development Fund", + "Nordic Environment Finance Corporation (NEFCO)": "Nordic Environment Finance Corporation", + "Nordic Investment Bank": "Nordic Investment Bank", + "OPEC Fund for International Dev.": "OPEC Fund for International Development", + "Org. of Arab Petroleum Exporting Countries (OAPEC)": ( + "Organization of Arab Petroleum Exporting Countries" + ), + "Plata Basin Financial Dev. Fund": "Plata Basin Financial Development Fund", + "South Asian Development Fund (SADF)": "South Asian Development Fund", + "UN-Children's Fund (UNICEF)": "UNICEF", + "UN-Development Fund for Women (UNIFEM)": "UN Development Fund for Women", + "UN-Development Programme (UNDP)": "UN Development Programme", + "UN-Educ., Scientific and Cultural Org. (UNESCO)": "UNESCO", + "UN-Environment Programme (UNEP)": "UN Environment Programme", + "UN-Fund for Drug Abuse Control (UNFDAC)": "UN Fund for Drug Abuse Control", + "UN-Fund for Human Rights": "UN Fund for Human Rights", + "UN-General Assembly (UNGA)": "UN General Assembly", + "UN-High Commissioner for Refugees (UNHCR)": "UN High Commissioner for Refugees", + "UN-Industrial Development Organization (UNIDO)": ( + "UN Industrial Development Organization" + ), + "UN-INSTRAW": ( + "UN International Research and Training Institute for the Advancement of Women" + ), + "UN-Office on Drugs and Crime (UNDCP)": "UN Office on Drugs and Crime", + "UN-Population Fund (UNFPA)": "UN Population Fund", + "UN-Regular Programme of Technical Assistance": ( + "UN Regular Programme of Technical Assistance" + ), + "UN-Regular Programme of Technical Coop. (RPTC)": ( + "UN Regular Programme of Technical Assistance" + ), + "UN-Relief and Works Agency (UNRWA)": "UN Relief and Works Agency", + "UN-UNETPSA": "UN UNETPSA", + "UN-World Food Programme (WFP)": "UN World Food Programme", + "UN-World Intellectual Property Organization": "UN World Intellectual Property Organization", + "UN-World Meteorological Organization": "UN World Meteorological Organization", + "West African Development Bank - BOAD": "West African Development Bank", + "West African Monetary Union (UMOA)": "West African Monetary Union", + "World Bank-IBRD": "WB International Bank for Reconstruction and Development", + "World Bank-IDA": "WB International Development Association", + "World Bank-MIGA": "WB Multilateral Investment Guarantee Agency", + "World Trade Organization": "World Trade Organization", + } + + +def clean_debtors(df: pd.DataFrame, column) -> pd.DataFrame: + df["iso_code"] = convert_id(df[column], from_type="regex", to_type="ISO3") + df["continent"] = convert_id(df[column], from_type="regex", to_type="continent") + df[column] = convert_id(df[column], from_type="regex", to_type="name_short") + + return df.set_index(["iso_code", column, "continent"]).reset_index() + + +def clean_creditors(df: pd.DataFrame, column) -> pd.DataFrame: + additional_iso = { + "Korea, D.P.R. of": "PRK", + "German Dem. Rep.": "DEU", + "Neth. Antilles": "ANT", + "Yugoslavia": "YUG", + } + additional_names = { + "Korea, D.P.R. of": "North Korea", + "German Dem. Rep.": "Germany", + "Neth. Antilles": "Netherlands Antilles", + } + df["counterpart_iso_code"] = convert_id( + df[column], + from_type="regex", + to_type="ISO3", + additional_mapping=multilateral_mapping() | additional_iso, + ) + df[column] = convert_id( + df[column], + from_type="regex", + to_type="name_short", + additional_mapping=multilateral_mapping() | additional_names, + ) + + return df diff --git a/scripts/data/inflows.py b/scripts/data/inflows.py new file mode 100644 index 0000000..ad135ca --- /dev/null +++ b/scripts/data/inflows.py @@ -0,0 +1,177 @@ +""" DEBT INFLOWS FROM IDS """ +import pandas as pd +from bblocks import set_bblocks_data_path, DebtIDS +from scripts import config +from scripts.data.common import clean_debtors, clean_creditors +from oda_data import ODAData, set_data_path, read_dac2a + +# set the path for the raw data +set_bblocks_data_path(config.Paths.raw_data) +set_data_path(config.Paths.raw_data) + +disbursements_indicators: dict = { + "total": "DT.DIS.DPPG.CD", #'DT.DIS.DPPG.CD' + "bilateral": ("DT.DIS.BLAT.CD", "DT.DIS.BLTC.CD"), + "multilateral": ("DT.DIS.MLAT.CD", "DT.DIS.MLTC.CD"), + "bonds": "DT.DIS.PBND.CD", + "banks": "DT.DIS.PCBK.CD", + "other_private": "DT.DIS.PROP.CD", +} + + +def clean_debt_inflows_output(data: pd.DataFrame) -> pd.DataFrame: + # replace bad characters + data["counterpart_area"] = data["counterpart_area"].str.replace(" ", "") + + # clean debtors + data = clean_debtors(data, "country") + + # clean creditors + data = clean_creditors(data, "counterpart_area") + + return data + + +def clean_grants_inflows_output(data: pd.DataFrame) -> pd.DataFrame: + data = data.filter(["year", "donor_name", "recipient_name", "prices", "value"]) + # clean debtors + data = clean_debtors(data, "recipient_name") + + # clean creditors + data = clean_creditors(data, "donor_name") + + return data + + +def _get_concessional_non_concessional( + start_year: int, + end_year: int, + total_indicator: str, + concessional_indicator: str, + indicator_prefix: str, +) -> pd.DataFrame: + # Load indicators + ids = DebtIDS().load_data( + indicators=[total_indicator, concessional_indicator], + start_year=start_year, + end_year=end_year, + ) + + # Get total data and rename column + total = ids.get_data(total_indicator).rename( + columns={"value": f"{indicator_prefix}_total"} + ) + + # Get concessional data and rename column + concessional = ids.get_data(concessional_indicator).rename( + columns={"value": f"{indicator_prefix}_concessional"} + ) + + # Merge data + data = pd.merge( + total, + concessional, + on=["year", "country", "counterpart_area"], + how="left", + suffixes=("_total", "_concessional"), + ) + + # Calculate non concessional + data[f"{indicator_prefix}_non_concessional"] = data[ + f"{indicator_prefix}_total" + ].fillna(0) - data[f"{indicator_prefix}_concessional"].fillna(0) + + # Melt data + data = data.filter( + [ + "year", + "country", + "counterpart_area", + f"{indicator_prefix}_concessional", + f"{indicator_prefix}_non_concessional", + ] + ).melt( + id_vars=["year", "country", "counterpart_area"], + var_name="indicator", + value_name="value", + ) + + return data + + +def _filter_and_assign_indicator(df: pd.DataFrame, indicator: str) -> pd.DataFrame: + return df.filter(["year", "country", "counterpart_area", "value"]).assign( + indicator=indicator + ) + + +def get_debt_inflows() -> pd.DataFrame: + bilateral = _get_concessional_non_concessional( + start_year=config.ANALYSIS_YEARS[0], + end_year=config.ANALYSIS_YEARS[1], + total_indicator=disbursements_indicators["bilateral"][0], + concessional_indicator=disbursements_indicators["bilateral"][1], + indicator_prefix="bilateral", + ) + + multilateral = _get_concessional_non_concessional( + start_year=config.ANALYSIS_YEARS[0], + end_year=config.ANALYSIS_YEARS[1], + total_indicator=disbursements_indicators["multilateral"][0], + concessional_indicator=disbursements_indicators["multilateral"][1], + indicator_prefix="multilateral", + ) + + # get bonds, banks, and other private + ids = DebtIDS().load_data( + indicators=[ + disbursements_indicators["bonds"], + disbursements_indicators["banks"], + disbursements_indicators["other_private"], + ], + start_year=config.ANALYSIS_YEARS[0], + end_year=config.ANALYSIS_YEARS[1], + ) + + # Get bonds data + bonds = ids.get_data(disbursements_indicators["bonds"]).pipe( + _filter_and_assign_indicator, "bonds" + ) + + # Get banks data + banks = ids.get_data(disbursements_indicators["banks"]).pipe( + _filter_and_assign_indicator, "banks" + ) + + # Get other private data + other_private = ids.get_data(disbursements_indicators["other_private"]).pipe( + _filter_and_assign_indicator, "other_private" + ) + + # combine + data = pd.concat( + [bilateral, multilateral, bonds, banks, other_private], ignore_index=True + ).pipe(clean_debt_inflows_output) + + return data + + +def get_grants_inflows(constant: bool = False) -> pd.DataFrame: + oda = ODAData( + years=range(config.ANALYSIS_YEARS[0], config.ANALYSIS_YEARS[1] + 1), + include_names=True, + base_year=config.CONSTANT_BASE_YEAR if constant else None, + prices="constant" if constant else "current", + ) + + oda.load_indicator("recipient_grants_flow") + + data = oda.get_data() + + return data.pipe(clean_grants_inflows_output) + + +if __name__ == "__main__": + grants = get_grants_inflows() + # debt_inflows = get_debt_inflows() + ... diff --git a/scripts/logger.py b/scripts/logger.py deleted file mode 100644 index 72cd099..0000000 --- a/scripts/logger.py +++ /dev/null @@ -1,25 +0,0 @@ -import logging -from scripts.config import Paths - -# Create a root logger -logger = logging.getLogger(__name__) - -# Create the terminal handler -shell_handler = logging.StreamHandler() - -# Set levels for the logger, shell and file -logger.setLevel(logging.DEBUG) -shell_handler.setLevel(logging.DEBUG) - -# Format the outputs -fmt_file = "%(levelname)s (%(asctime)s): %(message)s" -fmt_shell = "%(levelname)s [%(funcName)s:] %(message)s" - -# Create formatters -shell_formatter = logging.Formatter(fmt_shell) - -# Add formatters to handlers -shell_handler.setFormatter(shell_formatter) - -# Add handlers to the logger -logger.addHandler(shell_handler)