An integrated evaluation methodology to measure ecological and economic landscape states for territorial transformation scenarios: an application in Piedmont (Italy)

2019 ◽  
Vol 105 ◽  
pp. 156-165 ◽  
Author(s):  
Vanessa Assumma ◽  
Marta Bottero ◽  
Roberto Monaco ◽  
Ana Jacinta Soares
Land ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 105 ◽  
Author(s):  
Assumma ◽  
Bottero ◽  
Monaco

The present paper focuses on an integrated evaluation methodology aimed at measuring the attractiveness of rural landscapes. The landscapes under observation are two exceptional contexts in Piedmont (Italy): The Moraine Amphitheatre of Ivrea and the vineyard landscape of Langhe, Roero and Monferrato, which have recently been included in the UNESCO World Heritage List. The proposed investigation tool consists of the use of a system of landscape indicators, from which a synthetic index called the landscape economic attractiveness index has been obtained, and the integration of the results in a dynamic model, considering the synthetic index as a factor of people mobility in a multi-pole system. This integrated approach aims at supporting the decision-making process in the definition and orientation of landscape and territorial transformation policies, respecting the landscape components.


2020 ◽  
Vol 26 (7) ◽  
pp. 1647-1660
Author(s):  
O.N. Likhacheva ◽  
A.S. Belikevich

Subject. In the uncertain market environment, the optimal structure of capital is getting more important because it influences the competitiveness of a firm, its financial sustainability and solvency and, consequently, a success. Herein we dwell upon the hypothesis presuming the existence of capital structure determinants. Objectives. We review empirical studies on the subject, analyze determinants of the Russian companies’ capital structure. Methods. The study is based on the systems approach and methods of statistical analysis. Results. It is necessary to monitor how capital is shaped and formed. We investigated proceedings on factors influencing the capital structure and discovered relevant hypotheses, carrying out the correlation analysis of such factors. Conclusions and Relevance. It is especially important to examine factors influencing the capital structure, and find the appropriate format for the economy struggling through the crisis. The coronavirus pandemic unavoidably reshapes the global economic landscape, which has already been under the pressure of deglobalization processes (trade wars, repudiation of oil contracts). The correlation analysis did not reveal any relationship of the variables in question (the company’s age, ROE, ROA, MOEX, key rate, GDP, PPI) and the capital structure. Further research should be devoted to other factors and consider the unreasonableness and psychological background of managers’ behavior who make decisions concerning the capital structure.


2001 ◽  
Vol 40 (1) ◽  
pp. 71-74
Author(s):  
Attiya Y. Javed

The economic reform process began in India in 1991. However, the reform agenda is still far from its goals as is evident from low per capita income. Thus, this reform effort has not produced the desired outcome of a faster rate of economic and social development in a meaningful way. It is the premise of this volume that to transform the social and economic landscape, the proposed reforms should be broadbased and multi-pronged which take into account incentives for the stockholders in both the private and public sectors. The institutions are the rules that govern economy and include the fundamental legal, political, and social rules that establish the basis for production, exchange, and distribution. The two editors of this volume have received contributions from a number of authors and the wide range of papers are grouped under five main headings: political economy of reforms, reforming public goods delivery, reform issues in agriculture and rural governance, and reforming the district and financial sector.


2020 ◽  
Author(s):  
Muhamad Helmy Sabtu ◽  
◽  
Khairul Azman Mohamad Suhaimy ◽  
Nurul Aimi Razali

This article analyses the role of state in the policy of economic liberalisation in Vietnam. Doi Moi, which was launched in 1986, is a very influential and effective policy in changing the socio-economic landscape of the people in the country. The results of this study prove that there are positive effects on the increase of foreign investment inflows, the eradication of starvation and unruly poverty, the increase of level of education, the improvement of gender equality and women's rights as well as the sustainability of the environment after Doi Moi is implemented. Through Doi Moi, Vietnam is moving towards a developing country status with good economic performance both at the Southeast Asian and global.


Biomimetics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Adam Bignold ◽  
Francisco Cruz ◽  
Richard Dazeley ◽  
Peter Vamplew ◽  
Cameron Foale

Interactive reinforcement learning methods utilise an external information source to evaluate decisions and accelerate learning. Previous work has shown that human advice could significantly improve learning agents’ performance. When evaluating reinforcement learning algorithms, it is common to repeat experiments as parameters are altered or to gain a sufficient sample size. In this regard, to require human interaction every time an experiment is restarted is undesirable, particularly when the expense in doing so can be considerable. Additionally, reusing the same people for the experiment introduces bias, as they will learn the behaviour of the agent and the dynamics of the environment. This paper presents a methodology for evaluating interactive reinforcement learning agents by employing simulated users. Simulated users allow human knowledge, bias, and interaction to be simulated. The use of simulated users allows the development and testing of reinforcement learning agents, and can provide indicative results of agent performance under defined human constraints. While simulated users are no replacement for actual humans, they do offer an affordable and fast alternative for evaluative assisted agents. We introduce a method for performing a preliminary evaluation utilising simulated users to show how performance changes depending on the type of user assisting the agent. Moreover, we describe how human interaction may be simulated, and present an experiment illustrating the applicability of simulating users in evaluating agent performance when assisted by different types of trainers. Experimental results show that the use of this methodology allows for greater insight into the performance of interactive reinforcement learning agents when advised by different users. The use of simulated users with varying characteristics allows for evaluation of the impact of those characteristics on the behaviour of the learning agent.


2021 ◽  
Vol 13 (13) ◽  
pp. 7102
Author(s):  
Ana Carolina V. Nadalini ◽  
Ricardo de Araujo Kalid ◽  
Ednildo Andrade Torres

The objective of this paper is to present a review of current research on the valuation of ecosystem services, using emergy evaluation methodology (EME). A bibliometric analysis and a systematic review were carried out between 2000 and 2020, using all of Web of Science database subfields that collected 187 papers, selected through the keywords “emergy” and “ecosystem services”. In the second part of the research, we carried out a new search on Web of Science of the 187 initial articles produced, with the words “valuation” and “economic”, in order to analyze those directly related to the evaluation of ecosystem services. The results showed that the EME method is an effective tool to evaluate ecosystem services, since it relates economic and ecological aspects in the evaluations. The research also indicated that the use of isolated methods does not appear to be the most appropriate solution, and that emergy used in combination with other methodologies can be used to obtain more accurate and comprehensive results to evaluate natural resources.


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