{"query_echo":{"q":"","filters":{"analysis_type":["policy appraisal"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'policy appraisal' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":5,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=policy+appraisal","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"climstra-000272","url":"https://climateinsightsdirectory.org/document/climstra-000272","title":"Energy Innovation and System Transition in India: What do models tell us?","publisher":{"name":"Climate Strategies","organization":"climate-strategies"},"document_type":"report","language":"en","date_published":"2023","source_url":"https://climatestrategies.org/wp-content/uploads/2024/04/EEIST-India-Country-Report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report examines India's energy transition, comparing three models (MARKAL, EPS, and E3ME-FTT) to project electricity demand and the optimal generation mix for deep decarbonisation by 2050. It argues that decarbonisation is compatible with economic growth, potentially creating millions of net jobs and providing environmental co-benefits like reduced air pollution and water savings. However, it highlights significant risks, including land scarcity for solar projects, the need for massive green finance, and the challenge of a just transition for coal-dependent regions.","ai_generated":true,"unit":"climstra-000272#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's electricity demand is projected to grow significantly by 2050, with all three models predicting a surge of at least 2.5 times between 2030 and 2050 in decarbonisation scenarios due to the electrification of industry, transport, and buildings.","ai_generated":true,"unit":"climstra-000272#insight-1","date_modified":"2026-10-23"},{"text":"All models agree on a necessary phasedown of coal, projecting its share in electricity generation will drop from 70% to below 50% by 2030 and to less than 10% by 2050, although none suggest a complete phaseout by 2050 to maintain grid stability.","ai_generated":true,"unit":"climstra-000272#insight-2","date_modified":"2026-10-23"},{"text":"Solar energy is projected to be the dominant technology by 2050, with a share of over 40% in all models; the E3ME-FTT model specifically predicts it could reach over 60% due to 'learning-by-doing' cost reductions.","ai_generated":true,"unit":"climstra-000272#insight-3","date_modified":"2026-10-23"},{"text":"The MARKAL and EPS models suggest a more significant role for wind energy (around 35% by 2050) compared to E3ME-FTT, arguing that wind's complementary generation profile to solar reduces the need for expensive battery storage and grid flexibility.","ai_generated":true,"unit":"climstra-000272#insight-4","date_modified":"2026-10-23"},{"text":"Decarbonisation is expected to have a positive impact on the labour market, with EPS and E3ME-FTT projecting the creation of 3-6 million net jobs by 2050, primarily in electricity utilities, construction, and services.","ai_generated":true,"unit":"climstra-000272#insight-5","date_modified":"2026-10-23"},{"text":"The transition poses a significant risk to coal-dependent regions, with over 2 million jobs at risk due to the fossil fuel phaseout, necessitating economic diversification and worker reskilling in eastern India.","ai_generated":true,"unit":"climstra-000272#insight-6","date_modified":"2026-10-23"},{"text":"India faces a massive financing gap for its energy transition, requiring an estimated average of US$160 billion annually until 2030 and a cumulative US$10.1 trillion to reach net zero by 2070.","ai_generated":true,"unit":"climstra-000272#insight-7","date_modified":"2026-10-23"},{"text":"Green hydrogen production is a key industrial decarbonisation strategy with a target of 5 million metric tons annually by 2030, requiring an estimated cumulative investment of US$1.5 trillion.","ai_generated":true,"unit":"climstra-000272#insight-8","date_modified":"2026-10-23"},{"text":"Decarbonisation offers substantial environmental co-benefits, including a potential reduction of PM2.5 emissions by half by 2050, which could avoid 5.8 million premature deaths, and a 30% decline in water consumption by moving away from thermal power.","ai_generated":true,"unit":"climstra-000272#insight-9","date_modified":"2026-10-23"}],"climate_tags":["Net-zero emissions","energy transition","solar energy","wind power","Coal phase-out","green hydrogen","battery energy storage system","electric energy consumption","climate finance","just transition","energy efficiency","electric vehicle","circular economy","air pollution","water scarcity"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["comparative modelling","policy appraisal","socioeconomic impact assessment"]},{"id":"client-000440","url":"https://climateinsightsdirectory.org/document/client-000440","title":"The recovery budget for agriculture","publisher":{"name":"ClientEarth","organization":"clientearth"},"document_type":"briefing","language":"en","date_published":"2021-03","source_url":"https://www.clientearth.org/media/al0n1xtm/clientearth_the-recovery-budget-for-agriculture_how-the-eu-disguised-a-missed-opportunity_1-march-2021.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the distribution rules for the EU's €7.5 billion recovery budget for agriculture, specifically the new Article 58a of Regulation (EU) 1305/2013. It argues that the 'non-regression principle' and other spending thresholds are insufficient to ensure environmental progress, as they include non-ecological payments and allow Member States to prioritize socio-economic investments over green ones. The author concludes that the framework encourages 'business as usual' and fails to align with the European Green Deal.","ai_generated":true,"unit":"client-000440#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The distribution of the recovery budget is governed by a 'non-regression principle' requiring Member States to maintain the same overall percentage of spending on environment, climate, and areas of natural constraints (ANCs) as they did during the 2014-2020 CAP period.","ai_generated":true,"unit":"client-000440#insight-1","date_modified":"2026-10-23"},{"text":"The non-regression principle is criticized as weak because it includes payments for areas of natural constraints (ANCs), which the document asserts lack scientific evidence of being environment- or climate-friendly.","ai_generated":true,"unit":"client-000440#insight-2","date_modified":"2026-10-23"},{"text":"EU rules mandate that at least 37% of additional recovery resources be dedicated to animal welfare, LEADER, and environment, climate, and ANCs measures, including organic farming and greenhouse gas emission reduction.","ai_generated":true,"unit":"client-000440#insight-3","date_modified":"2026-10-23"},{"text":"At least 55% of the additional recovery resources must be reserved for socio-economic measures, such as investments in physical assets, farm development, and digitalization, though these lack mandatory biodiversity or climate mitigation criteria.","ai_generated":true,"unit":"client-000440#insight-4","date_modified":"2026-10-23"},{"text":"A legislative exception allows Member States to derogate from either the 55% socio-economic threshold or the non-regression principle if they cannot comply with both simultaneously, potentially allowing a reduction in environmental support.","ai_generated":true,"unit":"client-000440#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","biodiversity loss","organic agriculture","greenhouse gas emissions","carbon sequestration","precision agriculture","renewable energy","circular economy","climate finance"],"geography_discussed":["France"],"frame_perspective":[],"analysis_type":["policy appraisal","legislative analysis"]},{"id":"prio-001205","url":"https://climateinsightsdirectory.org/document/prio-001205","title":"An Appraisal of Philippines-China Security Relations under the Duterte Administration (2016–2020)","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2021","source_url":"https://cdn.cloud.prio.org/files/3b55a4fe-4313-4241-a6fb-d02319fedfc8/Amador III et al - An Appraisal of Philippines-China Security Relations under the Duterte Administration 2016-2020 PRIO Paper 2021.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the security relationship between the Philippines and China under the Duterte administration (2016–2020). It finds that while President Duterte pursued a cooperative foreign policy to secure economic gains and infrastructure funding via the Belt and Road Initiative, security cooperation remained limited and cautious. China provided military aid during the 2017 Marawi siege and proposed surveillance projects like 'Safe Philippines,' but these efforts faced pushback from the Philippine strategic community due to interoperability issues with US systems and fears of espionage. Ultimately, China is characterized as both an emerging security partner and a primary source of insecurity due to its maritime claims in the South China Sea.","ai_generated":true,"unit":"prio-001205#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Under the Duterte administration, the Philippines shifted toward a more cooperative relationship with China to secure economic investments, including approximately US$24 billion in loan and investment commitments to support the \"Build! Build! Build!\" infrastructure program.","ai_generated":true,"unit":"prio-001205#insight-1","date_modified":"2026-10-23"},{"text":"China provided specific military aid to the Philippines in 2017 to assist in counterterrorism efforts during the Marawi City siege, including thousands of rifles, ammunition, and coastal boats.","ai_generated":true,"unit":"prio-001205#insight-2","date_modified":"2026-10-23"},{"text":"Despite the military aid, the Armed Forces of the Philippines (AFP) and Department of National Defense (DND) transferred Chinese rifles to the Philippine National Police (PNP) because Chinese systems are not interoperable with the Philippines' existing doctrines and equipment, which remain aligned with the US.","ai_generated":true,"unit":"prio-001205#insight-3","date_modified":"2026-10-23"},{"text":"The 'Safe Philippines' project, a surveillance initiative involving the installation of approximately 12,000 CCTVs in Metro Manila and Davao for US$396.8 million, faced criticism and concerns regarding Chinese espionage and the export of authoritarianism.","ai_generated":true,"unit":"prio-001205#insight-4","date_modified":"2026-10-23"},{"text":"Strategic infrastructure projects involving Chinese firms, such as the DITO Telecommunity cell towers in military camps and the proposed Sangley International Airport, triggered alarms within the Philippine strategic community over national security risks.","ai_generated":true,"unit":"prio-001205#insight-5","date_modified":"2026-10-23"},{"text":"The South China Sea maritime dispute remains a primary driver of political distrust, though the two nations maintain limited cooperation through the Bilateral Consultative Mechanism (BCM) and potential joint exploration of oil and gas at Reed Bank.","ai_generated":true,"unit":"prio-001205#insight-6","date_modified":"2026-10-23"},{"text":"Public and strategic perception in the Philippines remains skeptical of China as a security partner, with a strong preference for maintaining the alliance with the United States.","ai_generated":true,"unit":"prio-001205#insight-7","date_modified":"2026-10-23"}],"climate_tags":["infrastructure investment"],"geography_discussed":["South China Sea","United States","Marawi","Metro Manila","Davao City","Cavite"],"frame_perspective":[],"analysis_type":["policy appraisal","security analysis"]},{"id":"issafri-002741","url":"https://climateinsightsdirectory.org/document/issafri-002741","title":"Open for business?","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"report","language":"en","date_published":"2019-12","source_url":"https://issafrica.s3.amazonaws.com/site/uploads/sar-33.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that despite the Mnangagwa administration's rhetoric of being 'open for business,' substantial foreign direct investment has not materialised due to a combination of bureaucratic red tape, policy inconsistency, and a lack of respect for property rights. While net FDI rose from US$247 million in 2017 to US$744 million in 2018, this remains far below the US$27 billion in deals signed by the president. The document highlights critical barriers including a 'dead asset' land tenure regime in agriculture, a lack of an independent central bank, and the pervasive influence of the military in the private sector. It concludes that the government's 'command and control' philosophy and the high-risk profile created by US sanctions and a history of bad debt continue to deter international investors.","ai_generated":true,"unit":"issafri-002741#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a significant gap between the investment deals signed by President Mnangagwa and actual FDI inflows; while US$744 million in FDI was received in 2018, this contrasts with approximately US$27 billion in signed agreements between 2018 and 2019.","ai_generated":true,"unit":"issafri-002741#insight-1","date_modified":"2026-10-23"},{"text":"Zimbabwe's business environment is characterized by extreme bureaucratic inefficiency, ranking 140th out of 190 in the World Bank's 2019 Ease of Doing Business Index. Setting up a business can take between 100 and 209 days, significantly longer than in South Africa (21 days), Zambia (28 days), or Botswana (30 days).","ai_generated":true,"unit":"issafri-002741#insight-2","date_modified":"2026-10-23"},{"text":"The agriculture sector is hindered by a land tenure regime that makes land 'un-bankable' and a 'dead asset' because neither white farmers (on five-year leases) nor indigenous farmers (on non-transferable 99-year leases) have security of tenure.","ai_generated":true,"unit":"issafri-002741#insight-3","date_modified":"2026-10-23"},{"text":"The mining sector, which provided 60% of foreign currency earnings in 2018, faces challenges including a lack of exhaustive studies on viable mineral reserves and distortions caused by foreign currency retention policies that encourage primary producers to sell gold through small-scale miners.","ai_generated":true,"unit":"issafri-002741#insight-4","date_modified":"2026-10-23"},{"text":"A severe currency crisis and strict capital controls have prevented international investors from repatriating profits and paying dividends, with companies like Anheuser-Busch Inbev having over US$100 million trapped in the country.","ai_generated":true,"unit":"issafri-002741#insight-5","date_modified":"2026-10-23"},{"text":"Property rights remain precarious, evidenced by the occupation of Gaika mine in February 2018 and attempted evictions at FarFell Coffee Estate, suggesting that the rule of law is often superseded by political authority.","ai_generated":true,"unit":"issafri-002741#insight-6","date_modified":"2026-10-23"},{"text":"US sanctions and the Office of Foreign Assets Control (OFAC) SDN List increase Zimbabwe's risk profile, making international banks reluctant to handle transactions and increasing insurance premiums for investors.","ai_generated":true,"unit":"issafri-002741#insight-7","date_modified":"2026-10-23"},{"text":"The military's role in the economy has become more pronounced and decisive, particularly in the mining sector, where some investors claim the army demands stakes in companies in exchange for security.","ai_generated":true,"unit":"issafri-002741#insight-8","date_modified":"2026-10-23"},{"text":"The government's 'command and control' ideology and the lack of independence of the Reserve Bank of Zimbabwe (RBZ) create opportunities for rent-seeking and arbitrage by the ruling elite.","ai_generated":true,"unit":"issafri-002741#insight-9","date_modified":"2026-10-23"}],"climate_tags":["mining","agriculture","land tenure","infrastructure"],"geography_discussed":["South Africa","Zambia","Botswana","Mozambique"],"frame_perspective":[],"analysis_type":["policy appraisal","economic analysis"]},{"id":"sei-002561","url":"https://climateinsightsdirectory.org/document/sei-002561","title":"Decision Support Methods for Climate Change Adaption","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2013-05","source_url":"https://www.sei.org/mediamanager/documents/Publications/sei-mediation-briefing1-method-overview.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document evaluates a variety of decision support methods for climate change adaptation, categorising them into traditional tools (CBA, CEA, MCA) and those specifically designed for decision-making under uncertainty (ROA, RDM, PA, Adaptive Management, AHP). It highlights that while traditional tools are well-known, they often struggle with the deep uncertainties of climate projections. The brief details the strengths and weaknesses of each method, provides a diagnostic framework for matching tools to specific adaptation challenges, and lists case study applications across various sectors and geographies, including the UK, Finland, Spain, and Italy.","ai_generated":true,"unit":"sei-002561#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Traditional decision support tools like Cost-Benefit Analysis (CBA) and Cost-Effectiveness Analysis (CEA) have limited capacity to address the complex uncertainties associated with climate change, often relying on central tendencies or probabilistic risks.","ai_generated":true,"unit":"sei-002561#insight-1","date_modified":"2026-10-23"},{"text":"Multi-Criteria Analysis (MCA) is highly flexible for adaptation because it can combine quantitative and qualitative data, allowing for the inclusion of criteria like robustness and low-regret characteristics, though it can be subjective.","ai_generated":true,"unit":"sei-002561#insight-2","date_modified":"2026-10-23"},{"text":"Real Options Analysis (ROA) is particularly effective for large, irreversible capital investments, such as coastal protection or water storage, as it quantifies the economic value of flexibility and learning over time.","ai_generated":true,"unit":"sei-002561#insight-3","date_modified":"2026-10-23"},{"text":"Robust Decision Making (RDM) is recommended for situations of 'deep uncertainty' where probabilistic data is missing, as it seeks strategies that are 'good enough' to minimize regret across many plausible futures.","ai_generated":true,"unit":"sei-002561#insight-4","date_modified":"2026-10-23"},{"text":"Portfolio Analysis (PA) allows decision-makers to diversify adaptation options to spread risk, ensuring effectiveness across a range of projected climates rather than relying on a single optimal solution for one scenario.","ai_generated":true,"unit":"sei-002561#insight-5","date_modified":"2026-10-23"},{"text":"Adaptive Management and 'Adaptation Pathways' avoid irreversible decisions by using a cycle of monitoring, research, and learning to adjust plans as risk thresholds are reached.","ai_generated":true,"unit":"sei-002561#insight-6","date_modified":"2026-10-23"},{"text":"Social Network Analysis (SNA) is a critical complementary tool for assessing adaptive capacity by mapping the socio-institutional relationships, information flows, and power dynamics between actors.","ai_generated":true,"unit":"sei-002561#insight-7","date_modified":"2026-10-23"}],"climate_tags":["adaptive capacity","climate change adaptation"],"geography_discussed":["United Kingdom","Finland","Netherlands","Ethiopia","United States","Italy","Australia","Canada","People's Republic of China","Spain"],"frame_perspective":[],"analysis_type":["methodological review","policy appraisal"]}]}