Relationships Between Livelihood Risks and Livelihood Capitals: a Case Study in Shiyang River Basin, China
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Annex I Supplementary Information of 2018 UNCCD Reporting, China
Annex I Supplementary Information of 2018 UNCCD Reporting, China SO4 Voluntary targets .............................................................................................................................. 2 SO 5-1 – Table1 ........................................................................................................................................ 3 SO 5-2 - Table 1 ........................................................................................................................................ 5 SO 5-3 - Table 1 ...................................................................................................................................... 12 SO 5-4 - Table 1 ...................................................................................................................................... 16 Implementation Framework - Table 1 .................................................................................................... 19 SO4 Voluntary targets Objectives Year Level applied Forest coverage rate By 2020 National Forest stock volume By 2020 National Area of new desertified land to be controlled By 2020 National SO 5-1 – Table1 Unit:RMB 10,000 Name or content of assistance program 2012 2013 2014 2015 2016 Source of information Assisting Republic of Mongolia in building three 5 5 5 5 5 CMA sandstorm observatories Sino-Arab League cooperative research on 289 CAS desertification control technology China-Kazakhstan cooperative research on ecological barrier construction technology of 120 CAS emerging cities -
The Index Ecosystem and the Commitment to Development Index
WP 2019-08 September 2019 Working Paper Charles H. Dyson School of Applied Economics and Management Cornell University, Ithaca, New York 14853-7801 USA THE INDEX ECOSYSTEM AND THE COMMITMENT TO DEVELOPMENT INDEX Ravi Kanbur It is the Policy of Cornell University actively to support equality of educational and employment opportunity. No person shall be denied admission to any educational program or activity or be denied employment on the basis of any legally prohibited discrimination involving, but not limited to, such factors as race, color, creed, religion, national or ethnic origin, sex, age or handicap. The University is committed to the maintenance of affirmative action programs which will assure the continuation of such equality of opportunity. 2 The Index Ecosystem and the Commitment to Development Index* Ravi Kanbur www.kanbur.dyson.cornell.edu 22 August, 2019 Contents 1. The Index Ecosystem 2. The Detail of the CDI 3. The CDI in the Index Ecosystem 4. Improving the CDI 5. Summary * Paper prepared for the 15-year review of the Commitment to Development Index. Paper completed on 1 October, 2018. 3 1. The Index Ecosystem For fifteen years the Center for global Development (CGD) has produced the Commitment to Development Index (CDI). This is a good time to take stock and ask how, if at all, the CDI should be modified. The construction of the CDI raises a number of questions, some of which are more fundamental than others, and some of which are more useful than others. And many if not most of the questions apply to any proposed index, not just specifically to the CDI. -
The-Human-Capital-Index-2020-Update-Human-Capital-In-The-Time-Of-COVID-19.Pdf
The Human CapitalIndex Public Disclosure Authorized The Human Capital Index 2020 2020 2020 UPDATE Public Disclosure Authorized UPDATE Human Capital in the Time of COVID-19 Public Disclosure Authorized Public Disclosure Authorized The Human Capital Index 2020 UPDATE The Human Capital Index 2020 UPDATE Human Capital in the Time of COVID-19 © 2021 International Bank for Reconstruction and Development / The World Bank 1818 H Street NW, Washington, DC 20433 Telephone: 202-473-1000; Internet: www.worldbank.org Some rights reserved 1 2 3 4 24 23 22 21 This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The orldW Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifically reserved. Rights and Permissions This work is available under the Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO) http:// creativecommons.org/licenses/by/3.0/igo. Under the Creative Commons Attribution license, you are free to copy, distribute, transmit, and adapt this work, including for commercial purposes, under the following conditions: Attribution—Please cite the work as follows: World Bank. -
The Human Capital Project: an Update
DEVELOPMENT COMMITTEE (Joint Ministerial Committee of the Boards of Governors of the Bank and the Fund on the Transfer of Real Resources to Developing Countries) DC2019-0007 September 18, 2019 The Human Capital Project: An Update Attached is the document titled “The Human Capital Project: An Update” prepared by the World Bank Group for the October 19, 2019 Development Committee Meeting. The Human Capital Project: An Update September 2019 This update has been prepared for the Development Committee and will be discussed in October 2019. Table of Contents Executive Summary ............................................................................................................................... 2 1. The Human Capital Project (HCP): Engagement and Action in FY19 .................................. 3 1.1 Global and country engagement sparked by the index ................................................................ 3 1.2 A strong wave of first responses from committed countries ....................................................... 6 1.3 Supporting platforms and partnerships ........................................................................................ 7 2. What’s Next: Data, Research, and Support for Accelerated Outcomes ................................. 8 2.1 An updated HCI in 2020 with expanded country coverage ......................................................... 8 2.2 Complementary research spotlights on other aspects of human capital ...................................... 9 2.3 Insights to help smooth uneven human -
France Human Capital Index
France Human Capital Index THE HUMAN CAPITAL INDEX (HCI) AND ITS COMPO- NENTS Figure 1. HCI and Components The HCI measures the amount of human capital that a child born Human Capital Index today can expect to attain by age 18. It conveys the productivity of the next generation of workers compared to a benchmark of com- plete education and full health. It is constructed for 157 countries. .2 .4 .6 .8 1 It is made up of five indicators: the probability of survival toage five, a child’s expected years of schooling, harmonized test scores Probability of Survival to Age 5 as a measure of quality of learning, adult survival rate (fraction of 15-year olds that will survive to age 60), and the proportion of .85 .9 .95 1 children who are not stunted. Globally, 56 percent of all children born today will grow up to be, Expected Years of School at best, half as productive as they could be; and 92 percent will grow up to be, at best, 75 percent as productive as they could be. 4 6 8 10 12 14 WHAT IS THE STATE OF HUMAN CAPITAL IN FRANCE? Harmonized Test Scores • Human Capital Index. A child born in France today will be 76 percent as productive when she grows up as she could be 300 400 500 625 if she enjoyed complete education and full health. • Probability of Survival to Age 5. 100 out of 100 children Learning-adjusted Years of School born in France survive to age 5. • Expected Years of School. -
Egypt's International Ranking
Egypt’s International Ranking Analysis of Key Changes in 2019 Edition Outline i. Methodology ii. Ease of Doing Business (Egypt, India) iii. Global Gender Gap Index (Egypt, United Kingdom, Morocco) iv. Human Capital Index (Egypt, UAE, USA) v. Digital Evolution Index (Egypt, India) vi. Logistics Performance Index (Egypt) vii. Governance Indicators (Egypt) viii. Financial Inclusion Indicators (Egypt) ix. Internet Users Indicator (Egypt) i. Methodology 1 2 3 The most two recent Any significant The reasons for the values for each differences (increase rise or fall is also indicator are or decrease) are reported and assessed plotted in a graph explained ii. Ease of doing business • An Index developed by the World Bank that measures simplicity of doing business and enforcement of property rights. This Photo by Unknown Author is licensed under CC BY ii. Ease of doing business - Egypt 110 • Egypt improved by eight places in the ease of doing business. 120 • Some of the reasons cited in the 120 report were: • Starting a business was made 128 easier with the introduction of a 130 “one-stop shop” and removing the requirement for a bank 140 certificate • Easier access to credit • Protection for minority investors 150 • Resolving insolvency 2018 2019 Source: Doing Business Report – Business Reforms in Egypt ii. Ease of doing business - India 50 • India improved it’s ease of doing business rank by moving up 23 places. 70 77 • Some of the reasons cited by the report were: 90 100 • Starting a business was made easier 110 • Getting construction permits • Access to credit 130 • Access to electricity • Electronic payment of taxes 150 2018 2019 Source: Doing Business Report – Business Reforms in India iii. -
Of the World Bank-Financed Gansu Rural-Urban Integration Infrastructure Project
Gulang Subproject of the World Bank-financed Gansu Rural-Urban Integration Infrastructure Project Public Disclosure Authorized Resettlement Action Plan of the Gulang Subproject (Mid-term Adjustment) of the Public Disclosure Authorized World Bank-financed Gansu Rural-Urban Integration Infrastructure Project Public Disclosure Authorized Public Disclosure Authorized Gulang County Government (GCG) Gulang PMO December 2019 Gulang Subproject (Mid-term Adjustment) of the World Bank-financed Gansu Rural-Urban Integration Infrastructure Project Letter of Commitment The Gulang Subproject (Mid-term Adjustment) of the World Bank-financed Gansu Rural-Urban Integration Infrastructure Project (hereinafter, the “Subproject”) involves land acquisition (LA), house demolition (HD) and resettlement. Therefore, this Resettlement Action Plan (RAP) has been prepared as the basis for LA, HD and resettlement in accordance with the Bank policy on involuntary resettlement (OP4.12), and the applicable state and local regulations and policies to protect the basic rights and interests of the affected persons (APs), and restore or even improve their production level and living standard after resettlement. GCG has reviewed this RAP, and agrees to implement resettlement, make resettlement funds available fully and timely, and compensate and resettle the APs properly in light of this RAP. The subproject management office (PMO) of Gulang County is hereby instructed to implement and manage the resettlement of the Subproject in coordination with the agencies concerned. GCG -
Measuring Human Capital Across Countries: IQ and the Human Capital Index by Gail Heyne Hafer and R.W
Measuring Human Capital Across Countries: IQ and the Human Capital Index By Gail Heyne Hafer and R.W. Hafer EXECUTIVE SUMMARY survey. Over the past several years, researchers have continued to It has been shown that country-level expand the boundaries of previous IQ and aggregated performance by work. A small selection of work school-age children on international done in the past few years—for sake assessment tests in math and science of brevity, we focus on economic are by-in-large capturing analogous fields—includes evaluating IQ’s indicators of the cognitive human ability to empirically explain national capital. We expand that analysis by differences in entrepreneurial comparing country-level IQ to the activity (Hafer & Jones, 2015; Hafer, The Center for Economics and the World Economic Forum’s Human 2017); corruption (Potrafke, 2012); Environment is an economics Capital Index (HCI). This index, financial development (Kodila- research center in the John W. comprised of several dozen separate Tedika & Asongu, 2015; Hafer, Hammond Institute for Free indicators, accounts for inputs and 2017); economic welfare (Hafer, Enterprise. Its focus includes policy- outcomes to measure human capital, 2017); happiness (Stolarski, et al., oriented research on the business and across age profiles and gender. Two 2015; Noklaev & Salahodjaev, economic environment, particularly of outcomes are of note. First, there is 2016); and cognitive capitalism state and local economies. a positive, significant correlation (Coyle, et al, 2016). The gist of the between IQ and the vast majority of evidence is that countries with the component indicators in the higher national average IQ tend to HCI across all age cohorts. -
Population Distribution Evolution Characteristics and Shift Growth Analysis in Shiyang River Basin
International Journal of Geosciences, 2014, 5, 1395-1403 Published Online October 2014 in SciRes. http://www.scirp.org/journal/ijg http://dx.doi.org/10.4236/ijg.2014.511113 Population Distribution Evolution Characteristics and Shift Growth Analysis in Shiyang River Basin Minzhi Chen1, Peizhen Wang2, Li Chen3 1Institute of Urban Planning and Design, Nanjing University, Nanjing, China 2The School of Architecture and Urban Planning, Nanjing University, Nanjing, China 3The High School Attached to Northwest Normal University, Nanjing, China Email: [email protected], [email protected] Received 1 August 2014; revised 27 August 2014; accepted 16 September 2014 Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract In recent years, the population size and scale of the Shiyang River Basin unceasingly expanding lead to a series of ecological environment: surface water reducing, land desertification and Ground water levels fall, etc. Research evolution characteristics of population distribution and migration growth of Shiyang River Basin contribute to river water resources and the industrial development of the comprehensive management. The article using the distribution of population structure index, population distribution center of gravity model and the population migration growth analysis model analyzes the distribution of the population evolution characteristics and population migration growth characteristics of Shiyang River Basin in 2000 to 2010. The results show that: 1) Considering Shiyang River Basin, population density is generally low, population distribution difference is bigger and concentration distribution in the middle corridor plain and three big population distribution center of Minqin oasis area, presenting a “point-areas-ribbon” structure characteristics. -
Supplementary Graduation Indicators (Sgis) Explanatory Note by the CDP Secretariat to the EXCEL File on SGI Visualization
Supplementary graduation indicators (SGIs) Explanatory note by the CDP Secretariat to the EXCEL file on SGI visualization The SGIs • Introduced by the CDP as additional element of the graduation framework in 2020 • Complement both the official LDC criteria and the country-specific information of the graduation assessment and/or vulnerability profile • Contain methodological sound indicators covering most LDCs and other developing countries • Are relevant for graduation, but not a requirement for graduation • Are kept under review and may be adjusted for the 2024 triennial review Purpose • Cover vulnerabilities and relevant factors not adequately captured in LDC criteria • Function as screening device for identifying discrepancies between criteria performance and broader vulnerabilities and factors • Serve as entry point for identifying priorities and support needs for smooth transition • Improve alignment with sustainable development goals (SDGs) • Enhance monitoring of graduated and graduating countries Data coverage and data sources • Data are available for most LDCs and other developing countries • Only indicators which are published regularly by international organizations or other internationally recognized entities are used • Most indicators are reported annually, however for some indicators data gaps may exist or data may be missing altogether for some countries; data gaps are not filled • For consistency with the LDC criteria, all indicators have been postdated to align with data availability for an actual or hypothetical triennial -
Creating Markets in Senegal
CREATING MARKETS SENEGAL IN CREATING A COUNTRY PRIVATE SECTOR DIAGNOSTIC SECTOR PRIVATE COUNTRY A A COUNTRY PRIVATE SECTOR DIAGNOSTIC CREATING MARKETS IN SENEGAL Sustaining growth in an uncertain environment APRIL 2020 About IFC IFC—a sister organization of the World Bank and member of the World Bank Group—is the largest global development institution focused on the private sector in emerging markets. We work with more than 2,000 businesses worldwide, using our capital, expertise, and influence to create markets and opportunities in the toughest areas of the world. In fiscal year 2018, we delivered more than $23 billion in long-term financing for developing countries, leveraging the power of the private sector to end extreme poverty and boost shared prosperity. For more information, visit www.ifc.org © International Finance Corporation 2020. All rights reserved. 2121 Pennsylvania Avenue, N.W. Washington, D.C. 20433 www.ifc.org The material in this report was prepared in consultation with government officials and the private sector in Senegal and is copyrighted. Copying and/or transmitting portions or all of this work without permission may be a violation of applicable law. IFC does not guarantee the accuracy, reliability or completeness of the content included in this work, or for the conclusions or judgments described herein, and accepts no responsibility or liability for any omissions or errors (including, without limitation, typographical errors and technical errors) in the content whatsoever or for reliance thereon. The findings, interpretations, views, and conclusions expressed herein are those of the authors and do not necessarily reflect the views of the Executive Directors of the International Finance Corporation or of the International Bank for Reconstruction and Development (the World Bank) or the governments they represent. -
Gansu Internet-Plus Agriculture Development Project
Gansu Internet-Plus Agriculture Development Project (RRP PRC 50393) Project Administration Manual Project Number: 50393-002 Loan Number: LXXXX September 2019 People’s Republic of China: Gansu Internet-Plus Agriculture Development Project ii ABBREVIATIONS ADB – Asian Development Bank COL – collective-owned land CNY – Chinese Yuan EMP – environmental management plan FSR – feasibility study report FY – Fiscal year GAP – gender action plan GPG – Gansu Provincial Government GRM – grievance redress mechanism GSSMCU – Gansu Supply and Marketing Cooperatives Union ICT – information and communication technology IEE – Initial Environmental Examination IOT – internet-of-things LIBOR – London interbank offered rate LURT – land use rights transfer mu – Chinese unit of measurement (1 mu = 666.67 square meters or 0.067 hectares) OCB – open competitive bidding PFD – Provincial Finance Department PIU – project implementation unit PMO – project management office PPE – participating private enterprise PPMS – project performance management system PRC – People’s Republic of China SDAP – social development action plan SOE – state-owned enterprise SOL – state-owned land TA – Technical assistance iii CONTENTS I. PROJECT DESCRIPTION 1 A. Rationale 1 B. Impact and Outcome 3 C. Outputs 3 II. IMPLEMENTATION PLANS 9 A. Project Readiness Activities 9 B. Overall Project Implementation Plan 10 III. PROJECT MANAGEMENT ARRANGEMENTS 12 A. Project Implementation Organizations: Roles and Responsibilities 12 B. Key Persons Involved in Implementation 14 C. Project Organization Structure 16 IV. COSTS AND FINANCING 17 A. Cost Estimates Preparation and Revisions 17 B. Key Assumptions 17 C. Detailed Cost Estimates by Expenditure Category 18 D. Allocation and Withdrawal of Loan Proceeds 20 E. Detailed Cost Estimates by Financier 21 F. Detailed Cost Estimates by Outputs and/or Components 23 G.