scholarly journals A Developed Framework for the Multi-District Ecological Compensation Standards Integrating Ecosystem Service Zoning in an Urban Area in China

2019 ◽  
Vol 11 (18) ◽  
pp. 4876
Author(s):  
Jia He ◽  
Yu Wan ◽  
Zhonglin Tang ◽  
Xiaodong Zhu ◽  
Chuanhao Wen
Keyword(s):  
Economic Development ◽  
Ecosystem Service ◽  
Cost Benefit Analysis ◽  
Contingent Valuation Method ◽  
Effective Means ◽  
Cost Benefit ◽  
Scientific Basis ◽  
Evaluation Framework ◽  
Ecological Compensation ◽  
The Future

Ecological compensation is an effective means to adjust relationships among stakeholders in order to conserve and/or sustainably use ecosystem services. The current ecological compensation standards (ECS) do not well reflect the differences in ecological, social, and economic development. Thus, we took a typical urbanization area (the Suzhou–Wuxi–Changzhou region) in China as an example, because of its prominent contradiction between rapid socio-economic development and fragile ecosystem. Combined with the ecological, economic, and social conditions, the methods of ecosystem service value (ESV) evaluation, cluster analysis, and scenario analysis were used to propose an optimized spatial zoning method and optimal development scenario. Then, the ECS by different zones were determined by using ESV assessment, cost-benefit analysis, and contingent valuation method. The results showed that (1) the regions were divided into two categories, with a total of four zones: ESV output areas (synergetic development zones (SDZ) and ecological conservation zones (ECZ)) and ESV input areas (ecological degradation zones (EDegZ) and economic development zones (EDevZ)); (2) among five scenarios, the best development mode in the future was the protection and development scenario, which was consistent with the existing planning; and (3) the ECS for the SDZ should be paid about 1.94 billion Yuan/year, the ECZ should be paid about 0.80 billion Yuan/year, the ECS for the EDegZ should pay about 2.20–2.25 million Yuan/year, and the EDevZ should pay about 0.06–7.33 million Yuan/year. By feasibility analysis, the ESV input areas were fully capable of inter-regional compensation, which could promote the effective purchase of ecological services. The developed evaluation framework of ECS in this study can accurately provide a scientific basis for the determination of ecological compensation regulations and policies in the future.

scholarly journals Emergy Analysis and Ecological Spillover as Tools to Quantify Ecological Compensation in Xuchang City, Qingyi River Basin, China

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 414
Author(s):  
Huiqin Li ◽  
Cuimei Lv ◽  
Minhua Ling ◽  
Changkuan Gu ◽  
Yang Li ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
River Basin ◽  
Water Footprint ◽  
Effective Means ◽  
Cost Benefit ◽  
Emergy Analysis ◽  
Ecological Compensation ◽  
Freshwater Resources ◽  
Ecological Protection ◽  
Complex Relationships

As an effective means to coordinate cost–benefit allocation of ecological protection between upstream and downstream cities, ecological compensation is often used to improve collaborative basin-wide freshwater resources management. Yet, due to the complex relationships between upstream and downstream ecosystem services, calculating eco-compensation is not an easy task. We used ecological spillover (the amount of local ecosystem services not used in the region and thus flows to downstream areas) and emergy analysis to determine the amount of eco-compensation that the city of Xuchang should pay to the upstream city of Xinzheng (Qingyi River Basin, China) from 2010 to 2014. Eco-compensation was determined by deducting the emergy of the local, self-supplied ecosystem services of Xuchang City, calculated using an ecological-water-footprint-based analysis, from the emergy of the total ecosystem services used in Xuchang, and monetized accordingly. The results showed that the self-supplied ecosystem services decreased from 2010 to 2014 and, thus, Xuchang relied more on the ecological spillover services flowing from Xinzheng. As a result, eco-compensation increased from 990 million Chinese Yuan (¥) in 2010 to ¥509 billion in 2014, mostly due to increased demands for water purification and reduced precipitation around Xuchang. This method can be further enhanced by introducing larger datasets and can be replicated elsewhere to accurately determine ecological compensation, ensuring basin-wide collaboration towards the sustainable management of freshwater resources.

Bargaining, Networks, and Management of Municipal Development Subsidies

2011 ◽  
Vol 42 (4) ◽  
pp. 481-497 ◽  
Author(s):  
Hyunsang Ha ◽  
Richard C. Feiock
Keyword(s):  
Economic Development ◽  
Political Institutions ◽  
Local Governments ◽  
Bargaining Power ◽  
Impact Analysis ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Organizational Networks ◽  
Control Mechanisms ◽  
Fiscal Impact

This article investigates why cities use fiscal analyses such as cost–benefit analysis and/or fiscal impact analysis to manage offers of economic development incentives to business. We advance an approach to understanding economic development subsidies and control mechanisms that integrate political bargaining and network theories. Municipal bargaining power, institutional incentives, and organizational networks are hypothesized to influence development subsidy decisions. The results confirm that local governments’ bargaining power and political institutions influence the degree to which cities use fiscal analyses. In addition, public/private organizational networks that bridge public and private sectors by linking quasigovernmental organizations and local governments increase information and credibility thus leading to greater use of fiscal analyses.

scholarly journals Artificial Intelligence Techniques for Information Security in 5G IoT Environments

2020 ◽  
Vol 5 (11) ◽  
pp. 1328-1333
Author(s):  
Ivan Petrov ◽  
Toni Janevski
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Cost Benefit Analysis ◽  
Network Virtualization ◽  
Cost Benefit ◽  
Telecommunication Networks ◽  
Operation Management ◽  
Network Function Virtualization ◽  
Network Function ◽  
The Future

The development of the telecommunication networks observed in present and future time is impressive. Today we witness rapid implementation of 5G networks. We can say that this actually is the moment when (artificial intelligence) AI enters at small door but in the beyond 5G world it is expected to have the prime role in smart operation, management and maintenance of non-software defined networking (SDN), network function virtualization (NFV) and especially at SDN and NFV aware networks. Number of standardization body’s and work groups are focused in a way to create a framework that will define the future use of AI and security standards necessary to exist in order to create health environment for the next generation telecommunication infrastructure. In the wireless world AI/Machine learning (ML) has great potential to shake the way we operate and to become foundation of the transformation that leads to the next industrial revolution. Network virtualization gives flexibility and freedom of the telco operators to choose the hardware and network topology they need for AI/ML platforms and big data sets. 5G and IoT create positive environment for AI and ML development and usage. As the network requirements are developed and the number of the users raises, gains are expected to grow with the number of variables and the interactions among them so it becomes impossible to relay on humans to control the network for increased number of variables and this is why AI with ML and automation become beneficial and necessity to run the future networks. AI generally is defined as capacity of mind or ability to acquire and apply knowledge and skills while ML is defined as learning that does not require explicit programming. Combined usage of AI and ML can optimize almost any component of the wireless network, this does not mean that it should be used everywhere mainly because at the end of the day the cost benefit analysis of its usage must be positive. Smart operation, management and infrastructure maintenance (SOMM) networks are defined as: Intelligent, data driven, integrated and agile. Today AI is introduced but in future it will represent the network engine. It is interesting to mention that network security must be upgraded because the network will provide services for massive number of IoT devices that will have variety of functions and requests. AI/ML can improve the security services and to be used in order to elevate them at advanced level. In this text we focus our attention at AI/ML and security scenarios defined for IoT in 5G environment.

Economic Development and Social Institutions: S. Jayapandian: Convertibility Clause and Investment Climate-An IFMR Survey. Institute for Financial Management and Research, Madras, 1980, xiii, 68p., Rs. 15.

1982 ◽  
Vol 38 (2) ◽  
pp. 247-259
Keyword(s):  
Economic Development ◽  
Financial Management ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Social Institutions ◽  
Public Enterprise ◽  
Indian Society ◽  
Investment Climate ◽  
The North ◽  
The Family

Economic Development and Social Institutions: S. JAYAPANDIAN: Convertibility Clause and Investment Climate—An IFMR Survey. D. ARUNA: Social Cost Benefit Analysis. LEON SWARTZBERG, Jr.: The North Indian Peasant Goes to Market. ARVIND K. SHARMA: Management Development in Public Enterprise. MAN SINGH DAS and PANOS D. BARDIS ( Eds.): The Family in Asia. BINOD C. AGRAWAL: Cultural Contours of Religion and Economics in Hindu Universe. RAGHUVIR SINHA: Family to Religion: A Theoretical Exposition of Basic Social Institutions. R. JAYARAMAN: Caste and Class : Dynamics of Inequality in Indian Society.

Application of the contingent valuation method in a developing country: a case study of the Yusufeli Dam in northeast Turkey

2010 ◽  
Vol 62 (1) ◽  
pp. 99-105 ◽  
Author(s):  
Emre Alp ◽  
Ülkü Yetiş
Keyword(s):  
Contingent Valuation ◽  
Urban Areas ◽  
Power Plants ◽  
Cost Benefit Analysis ◽  
Contingent Valuation Method ◽  
Cost Benefit ◽  
Hydroelectric Power Plant ◽  
Hydroelectric Power ◽  
Turkish Republic ◽  
Valuation Method

Hydroelectric power plants and dams often play an important role in developing countries in terms of their contribution to economy. In accordance with the energy policies of Turkish Republic, Yusufeli Dam and Hydroelectric Power Plant in Northeastern Turkey have been initiated. In this study, the Contingent Valuation Method (CVM) was conducted in Yusufeli Village to determine the environmental costs of the Yusufeli Project. The purpose is to assess the willingness to pay (WTP) of Yusufeli Village residents for restoration of the environmental impacts of the dam project and also to investigate the underlying economic, psychological, and social motivations for WTP. WTP was calculated as US$761 per person which can further be used in the cost–benefit analysis. The results from the study suggest that application of the CVM in rural and urban areas located in the same region can show differences.

scholarly journals Opportunities for Systematically Valuing Ecosystem Service Benefits Produced by Federal Conservation Programs

2020 ◽  
Vol 49 (1) ◽  
pp. 178-191
Author(s):  
Thomas P. Holmes
Keyword(s):  
Decision Making ◽  
Ecosystem Service ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Policy Decision ◽  
Benefit Transfer ◽  
Specific Information ◽  
Conservation Programs ◽  
Private Lands ◽  
Ecosystem Service Valuation

Federal agencies invest taxpayer dollars every year in conservation programs that are focused on improving a suite of ecosystem services produced on private lands. A better understanding of the public benefits generated by federal conservation programs could help improve governmental efficiency and economic welfare by providing science-based evidence for use in policy decision-making regarding targeting of federal conservation investments. Of specific concern here are conservation investments made by the U.S. Department of Agriculture (USDA). While previous research has shown that efficiency gains are possible using cost-benefit analysis for targeting conservation investments, agency-wide implementation of this approach by policy makers has been constrained by the limited availability of location-specific information regarding conservation benefits. Cost-effective opportunities for integrating location-specific ecosystem service valuation research with USDA conservation decision-making include: (1) institutionalizing funding of comparable studies suitable for benefit transfer, (2) utilizing non-traditional data sources for research complementing benefit transfer, and (3) creating a state-of-the-art program for developing and communicating research in ecosystem service valuation exemplifying the highest standards of scientific conduct.

scholarly journals An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD

2019 ◽  
Vol 11 (20) ◽  
pp. 5627 ◽  
Author(s):  
Yixi Xue ◽  
Yi Zhang ◽  
Yi Chen
Keyword(s):  
Electric Vehicles ◽  
Planning Process ◽  
Cost Benefit Analysis ◽  
Evaluation Criteria ◽  
Relative Weight ◽  
Cost Benefit ◽  
Evaluation Framework ◽  
Car Sharing ◽  
Electric Car ◽  
Routine Inspection

The combination of car-sharing and electric vehicles can increase the acceptance of electric vehicles and facilitate car-sharing to be a more sustainable means of transport. However, this also poses more challenges for the good planning of electric car-sharing systems. To assist car-sharing companies in improving the planning decisions, this paper developed an evaluation framework from a comprehensive view. In the first step, four evaluation criteria were identified according to the planning process: construction of stations; routine inspection; vehicle usability and relocation management; and the maintenance and replacement of stations. Then, a combinatorial method based on analytic hierarchy process (AHP), cost-benefit analysis (CBA), and Voronoi diagram (VD) is developed to determine the relative weight of the four criteria and evaluate the alternative. Finally, the evaluation framework was applied in a realistic case of EVCARD, which is the most influential electric car-sharing company in China. The performance of two different operational districts of EVCARD—Jingan and Changning—were compared. The results showed that vehicle usability and relocation management is the greatest criterion influencing the planning performance of the electric car-sharing system in China, and that routine inspection is a negligible but important factor. According to the relative scores, Jiagan District performed better than Changning district.

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