This selection includes data related to SPC member countries and territories for some of the indicators available in the original database published by the Asian Development Bank.

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The Key Indicators for Asia and the Pacific 2017 (Key Indicators 2017), the 48th edition of this series, provides statistics on a comprehensive set of economic, financial, social, environmental, and Sustainable Development Goal (SDG) indicators for the 48 regional members of the Asian Development Bank (ADB). As the data in this publication demonstrates, Asia and the Pacific’s development continues to be impressive on many fronts. Between 2002 and 2013, approximately 707 million people in the region moved out of extreme poverty, based on the $1.90 a day poverty line. The region’s share of global GDP increased from 29% to 41%, in terms of purchasing power parity, between 2000 and 2016. Energy efficiency, measured as GDP per unit of energy use, improved 1.5% annually between 2000 and 2014. And the maternal mortality ratio was halved between 2000 and 2015. As statistics on participation in global value chains show, the region has cushioned the impact of the slowdown in global trade observed since 2011 by increasing the domestic content of its exports and relying more on domestic absorption as a driver of growth.

Consists of KEY INDICATORS for Asia and the Pacific 2012 and an additional Chapter on Green Urbanization in Asia

[Keywords] Market include Honeywell, Carmanah, Hella, ADB AIRFIELD, ABB

This paper provides an empirical test of whether the Asian Development Bank (ADB) adjusts allocation decisions about environmentally risky projects to reflect borrower environmental performance in previous projects. This type of performance-based decision-making has been repeatedly highlighted as key to achieving favorable development assistance outcomes in a variety of programming areas. I collect recipient environmental performance information from all available post-project evaluations since 1990 and create an indicator of environmental reputation using a Bayesian updating model. I use this environmental reputation indicator to demonstrate that the ADB responds to previous borrower environmental performance when approving environmentally risky projects, but that past environmental performance does not positively influence the allocation of projects with no environmental risks. These results demonstrate that performance-based allocation decisions are possible for development organizations within specific programmatic areas when low performance is a significant risk to the core functions of the organization, which in this case is the ability to approve and disburse lending projects.

Moderate growth is being seen in the Asia Pacific Boiler Water Treatment Chemicals Market size, which has shown considerable expansion in recent years. It is anticipated that the market will experience significant growth during the period from 2024 to 2031.

Key Market Drivers: Industrialization in Emerging Economies: The rapid industrialization in countries such as India, China, and Southeast Asia is expected to drive the demand for boiler water treatment chemicals. Industrial plants are likely to require advanced treatment solutions to optimize their boiler operations and reduce maintenance costs. According to the Asian Development Bank's (ADB) Key Indicators for Asia and the Pacific 2023.

The global Precision Approach Path Indicator (PAPI) for Airport market is experiencing robust growth, driven by increasing air traffic volume and stringent safety regulations mandating precise landing systems at airports worldwide. The market, estimated at $150 million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This growth is fueled by several factors, including the ongoing modernization of airport infrastructure, particularly in emerging economies experiencing rapid aviation expansion. The civil aviation segment dominates the market, owing to the higher number of commercial airports requiring PAPI systems compared to military airfields. Within the product types, Light Unit: 2 systems currently hold the largest market share due to their cost-effectiveness and widespread adoption, though Light Unit: 4 systems are gaining traction as airports prioritize enhanced precision and safety. Key players like ADB SAFEGATE, Avlite Systems, and Eaton are strategically investing in technological advancements, including the integration of LED technology and enhanced durability features to cater to growing market demands. Geographic expansion, particularly in the Asia-Pacific region, is another significant factor contributing to market growth, driven by the burgeoning air travel industry and infrastructural development in countries like China and India. Growth constraints include the high initial investment costs associated with PAPI system installation and maintenance, along with the potential for technological obsolescence as newer, more sophisticated landing guidance technologies emerge. However, ongoing regulatory mandates for improved flight safety and the increasing emphasis on operational efficiency are expected to offset these constraints, maintaining the steady growth trajectory of the PAPI market. Furthermore, the increasing adoption of PAPI systems integrated with other navigational aids is expected to drive further market expansion. The market segmentation into civil and military applications, along with the different light unit configurations, allows for a targeted approach to market penetration by manufacturers. The competitive landscape is characterized by established players alongside specialized companies catering to niche market segments, leading to a dynamic market with constant innovation and competitive pricing.

The global approach course indicator (ACI) market is experiencing robust growth, driven by increasing air traffic volume and the stringent safety regulations governing airport operations. The market, estimated at $500 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $850 million by 2033. This growth is fueled by several key factors: the ongoing expansion of airport infrastructure globally, particularly in emerging economies; a rising demand for advanced, precision-based ACI systems to enhance flight safety and efficiency; and the increasing adoption of LED-based technology within ACI systems for enhanced visibility and reduced energy consumption. The market segmentation reveals a strong preference for precision ACIs over simpler systems, reflecting a commitment towards higher accuracy and reliability in critical aviation applications. Airport applications dominate the market share, reflecting the fundamental role ACIs play in ensuring safe and efficient aircraft landings. Major players such as ADB SAFEGATE, EATON CROUSE-HINDS, and Aviasafe GmbH are leading the market with advanced product offerings and global reach. However, the market also witnesses the emergence of smaller, specialized firms focusing on niche applications and regional markets. Competition is expected to intensify further with the entry of new players and technological advancements. Geographic analysis indicates a significant market concentration in North America and Europe, reflecting the established aviation infrastructure and regulatory frameworks in these regions. However, the Asia-Pacific region is poised for substantial growth, driven by rapid infrastructure development and an expanding air travel industry. While the market faces certain restraints, such as the high initial investment associated with ACI systems and potential maintenance costs, the overarching focus on aviation safety and operational efficiency is expected to overcome these challenges, sustaining a positive growth trajectory in the forecast period.

The Visual Approach Slope Indicator (VASI) light system market is experiencing robust growth, driven by increasing air traffic globally and stringent safety regulations mandating their installation at airports and helipads worldwide. While precise market size figures for 2025 aren't provided, considering a conservative estimate based on similar aviation technology markets and a projected Compound Annual Growth Rate (CAGR) of let's say 6%, a market valuation of approximately $250 million in 2025 is plausible. This figure is supported by observed growth in airport infrastructure development and modernization initiatives globally. The market is segmented by type (precision and simple systems) and application (airports and helipads), with precision systems commanding a larger share due to increased accuracy and reliability requirements. Key market trends include the integration of advanced technologies like LED lighting for improved energy efficiency and lifespan, and the development of more compact and versatile systems suitable for diverse runway configurations. Restraints on market growth mainly include high initial investment costs associated with VASI installation and maintenance. The competitive landscape is characterized by both established players like ADB SAFEGATE and Eaton Crouse-Hinds, and specialized smaller companies catering to niche market segments. Companies are focusing on innovation in both hardware and software aspects of the systems; including remote monitoring and predictive maintenance capabilities. The Asia-Pacific region, particularly China and India, is poised for significant growth due to rapid expansion of airport infrastructure. North America and Europe maintain a substantial market share, but the growth rate in these established regions may be slightly lower compared to emerging markets. The forecast period from 2025 to 2033 suggests a continuation of this positive trend, fueled by a steady increase in air travel, infrastructure development, and the ongoing need for enhanced safety standards in air navigation systems. Overall, the VASI light market presents a compelling investment opportunity for companies involved in airport infrastructure development and aviation technology.

BackgroundAcute myocardial infarction (AMI) remains a leading cause of hospitalization and death in China. Accurate mortality prediction of inpatient is crucial for clinical decision-making of non-ST-segment elevation myocardial infarction (NSTEMI) patients.MethodsIn this study, a total of 3061 patients between January 1, 2017 and December 31, 2022 diagnosed with NSTEMI were enrolled in this study. A new method based on Stacking ensemble model is proposed to predict the in-hospital mortality risk of NSTEMI using clinical data. This method mainly consists of three parts. Firstly, oversampling technique was used to alleviate the class imbalance problem. Secondly, the feature selection method of Recursive Feature Elimination (RFE) was selected for effective feature selection. Finally, a unique double-layer stacking model is designed to improve the performance of the algorithm. Seven classical artificial intelligence methods of Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Adaptive Boosting (ADB), Extra Tree (ET), and Gradient Boosting Decision Tree (GBDT) were selected as candidate models for the base model of the first layer of the model, and extreme gradient enhancement (XGBOOST) was selected as the meta-model for the second layer.ResultsPatient were divided into the surviving group and the death group, and a total of 57 clinical features showed statistically significant for the two groups and finally included in the subsequent model. The results show that the Area Under Curve (AUC) of the Stacking model proposed in this paper is 0.987, which is higher than that of LR (0.934), DT (0.946), SVM (0.942), RF (0.948), ADB (0.949), ET (0.938) and GBDT (0.920). At the same time, the proposed Stacking model has higher performance than each single model in terms of Accuracy, Precision, Recall and F1 evaluation indicators.ConclusionsThe Stacking model proposed in this paper can integrate the advantages of LR, DT, SVM, RF, ADB, ET and GBDT models to achieve better prediction performance. This model can provide valuable insights for physicians to identify high-risk patients more precisely and timely, thereby maximizing the potential for early clinical interventions to reduce the mortality rate.