Data for Manuscript Title "Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses ", Emerging Markets Review, 63, 101217, 2024
Description
The data used in this study on net inflows of FDI, technology readiness, innovation, and infrastructure were obtained from The World Bank (https://api.worldbank.org) using the Python API. The data on imports of intermediate goods were obtained from https://wits.worldbank.org/. However, accessing the WITS server proved to be challenging, and the Python code frequently received a 404 error message due to request timeouts. For convenience, we uploaded the data on imports of intermediate goods in CSV format. This data will be merged with the data on other variables collected using the Python API on demand. The Python code for data collection and processing is provided in this repository. To run the data collection and processing code: 1. download datatool.ipynb and iep_data.csv 2. Install python library: "pip install -r requirements.txt" 3. Run the python script: "python datatool.ipynb" To collect other indicators, please replace the indicator id in the script. To collect data from other countries and time interval, please replace the country code and start/end year. This script uses open source libraries and hereby has limited warranty as follows: THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Files
Steps to reproduce
To run the data collection and processing code: 1. download datatool.ipynb and iep_data.csv 2. Install python library: "pip install -r requirements.txt" 3. Run the python script: "python datatool.ipynb"