scholarly journals Analysing Challenges to Smart Waste Management for a Sustainable Circular Economy in Developing countries: A fuzzy DEMATEL study

2021 ◽  
Author(s):  
Honey Yadav ◽  
Umang Soni ◽  
Girish Kumar
Keyword(s):  
Waste Management ◽  
Dynamic Scheduling ◽  
Developing Economies ◽  
Causal Effect ◽  
Laboratory Method ◽  
Second Phase ◽  
Extensive Literature ◽  
Fuzzy Dematel ◽  
Regulatory Policies ◽  
Long Run

Abstract To improve the quality of life and achieve sustainability Internet of Things (IoT) plays a significant role. Waste can be converted to high value asset if treated properly with smart solutions. This study aims to develop an exploratory framework in the adoption of smart waste management in developing economies such as India analysing the various deferring parameters. To accomplish this aim the present study consists of two phases: In the first phase barriers in the adoption of IoT for smart waste management were identified after an extensive literature review and discussion with selected experts in this field. In the second phase the quantitative analysis using Fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method was performed on the selected barriers. The fuzzy DEMATEL methodology helps in prioritizing the most significant barrier by separating them into cause-effect group. The data were analysed on comparative basis based on two different perception to provide more detailed insight on the problems faced while smart waste management implementation. The results discloses that “Lack of government strict regulatory policies”, “Lack of proper Financial planning” and “Lack of benchmarking processes” are among the most critical causal barriers towards IoT based smart waste management that are hindering the vision of efficient waste management system. Further “Difficulty in implementing innovative technologies” and “Absence of Dynamic Scheduling and Routing” fall under significant potential causal effect category. The most prominent effect barriers are “Lack of awareness among community”, “Lack of source segregation and recycling commitment” and “Lack of service provider’s” which was concluded in results considering the comparison parameters from different perspective. The study also suggest that the effect barriers can be overcome automatically with mitigating the causal barriers in the long run. The comparative details of the study will further help the policy makers, stakeholders and government experts to frame policies and interventions to eradicate the identified barriers towards an efficient and innovative system for waste handling.

scholarly journals Analysing challenges to smart waste management for a sustainable circular economy in developing countries: a fuzzy DEMATEL study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Honey Yadav ◽  
Umang Soni ◽  
Girish Kumar
Keyword(s):  
Comparative Analysis ◽  
Waste Management ◽  
Circular Economy ◽  
Smart City ◽  
Developing Economies ◽  
Fuzzy Dematel ◽  
Policy Makers ◽  
Content Type ◽  
Regulatory Policies

PurposeWaste can be converted to a high-value asset if treated properly with smart solutions. The purpose of this research is to identify critical barriers hindering smart waste management (SWM) implementation in developing economies using comparative analysis and a mixed-method approach. The objective of this work is to provide exhaustive insight including the smart cities projects to discuss the deferring parameters toward IoT-enabled waste management systems.Design/methodology/approachTo accomplish the objective, the present study followed mixed-method approach consisting of two phases: In the first qualitative phase, barriers in the adoption of IoT (Internet of Things) for SWM were identified using extensive literature review and discussion with selected experts. In the second phase, the quantitative analysis using the Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) method was performed on the selected barriers. The fuzzy DEMATEL methodology helps in prioritizing the most significant causal barrier by separating them into the cause-effect group. The comparative analysis was used to understand two different perceptions. To provide more detailed insight on the problems faced while implementing SWM in developing economies.FindingsThe results disclose that “Lack of government strict regulatory policies,” “Lack of proper financial planning” and “Lack of benchmarking processes” are the most critical causal barriers toward IoT-enabled SWM implementation that are hindering the vision of efficient and effective waste management system. Also, “Difficulty in implementing innovative technologies” and “Absence of Dynamic Scheduling and Routing” fall under the potential causal category. The effect barriers include “Lack of awareness among the community,” “Lack of source segregation and recycling commitment” and “Lack of service provider” as concluded in results considering the comparative analysis. The results can aid the policy-makers and stakeholders to identify the significant barriers toward a sustainable circular economy and mitigate them when implementing IoT-enable waste practices. Also, it assists to proactively build programs, policies, campaigns and other measures to attain a zero-waste economy.Research limitations/implicationsThe research is focused on the context of India but it provides new details which can be helpful for other developing economies to relate. The research addresses the call for studies from public-sector and citizen’s perspectives to understand the acknowledgment of SWM systems and critical success factors using qualitative and exploratory method analysis.Practical implicationsThe practical implications of the study include strict regulatory policies and guidelines for SWM acceptance, proper financial administration and benchmarking waste-recycling practices (prominent causal barriers). The practical implication of the results includes assistance in smart city projects in handling barriers proactively. The “Lack of Benchmarking processes” provides a critical application to standardized recycling practices in developing economies to improve the quality of the recyclable material/product. The comparative analysis also provides in-depth reflection toward the causal barriers from both the perspective which can help the government and stakeholders to work in a unified manner and establish an efficient waste management system. The results also conclude the need for targeted training programs and workshops for field implementation of innovative technologies to overcome the causal barrier. Moreover, policy-makers should focus to improve source segregation and recycling practices and ensure dedicated communication campaigns like Swachh Bharat Abhiyan to change the behavioral functioning of the community regarding waste. Lastly, developing economies struggle with the adequacy of resources to establish SWM systems, hence the authors conclude that proper financial planning is required at the ground level for smart city projects to overcome the spillover effects.Social implicationsThe social implications of the study include a reduction in pollution and efficient handling of waste resulting in a healthier and cleaner environment using IoT technology. Also, the results assist decision-makers in developing economies like India to establish smart city projects initiatives effectively to improve the quality of life. It proposes to establish standardized recycling processes for the better quality of recyclables and help in attaining a sustainable circular economy.Originality/valueThe research is novel as it provides comprehensive and comparative information regarding the barriers deferring SWM including the field barriers. To our consideration, the present study serves the first to address the comparative analysis of barriers in IoT-enabled waste systems and establish the relationship from both the perspective in middle-lower income economies. The study also suggests that the effect barriers can be overcome automatically by mitigating the causal barriers in the long run.

Macroeconomic Determinants of Stock Market Prices in Nepal

2020 ◽  
Vol 2 (1) ◽  
pp. 56-65
Author(s):  
Bhim Prasad Panta
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Developing Economies ◽  
Annual Data ◽  
Economic Variables ◽  
Market Prices ◽  
Ardl Model ◽  
Long Run

Background: Stock market plays a crucial role in the financial system of a country. It can be viewed as a channel through which resources are properly channelized. It enables the governments and industry to raise long-term capital for financing new projects. The stock markets of developing economies are likely to be sensitive to various macro-economic factors such as GDP, imports, exports, exchange rates etc., when there is high demand on financial products, as a constituent of financial market, ultimately stock market needs to develop. Many factors can be a signal to stock market participants to expect a higher or lower return when investing in stock and one of these factors are macroeconomic variables and thus, macro-economic variables tend to effect on stock market development. Objective: This study examines the linkage between stock market prices (NEPSE index) and five macro-economic variables, namely; real GDP, broad money supply, interest rate, inflation, and exchange rate using ARDL model and to explain the behavior of the Nepal Stock Exchange Index. Methods: The ECM which is delivered from ARDL model through simple linear transformation to integrate short run adjustments with long run equilibrium without losing long run information. The analysis has been done by using 25 years' annual data from 1994 to 2019. Findings: The result suggests that the fluctuation of Nepse Index in long run is strongly associated with broad money supply, interest rate, inflation, and exchange rate. Conclusion: Though Nepalese stock market is in primitive stage, broad money supply, interest rate, inflation and exchange rate are major factors affecting stock market price of Nepal. So, policies and strategies should be made and directed taking these in to consideration. Implication: The findings of research can be helpful to understand the behavior of Nepalese stock market and develop policies for market stabilization.

scholarly journals LABOR MARKET DYNAMICS UNDER TECHNOLOGY SHOCKS: THE ROLE OF SUBSISTENCE CONSUMPTION

2021 ◽  
pp. 1-29
Author(s):  
Sangyup Choi ◽  
Myungkyu Shim
Keyword(s):  
Labor Market ◽  
Business Cycle ◽  
Developing Economies ◽  
Structural Var ◽  
Market Dynamics ◽  
Technology Shocks ◽  
Structural Factors ◽  
Long Run ◽  
Labor Market Dynamics ◽  
Short Run

This paper establishes new stylized facts about labor market dynamics in developing economies, which are distinct from those in advanced economies, and then proposes a simple model to explain them. We first show that the response of hours worked and employment to a technology shock—identified by a structural VAR model with either short-run or long-run restrictions—is substantially smaller in developing economies. We then present compelling empirical evidence that several structural factors related to the relevance of subsistence consumption across countries can jointly account for the relative volatility of employment to output and that of consumption to output. We argue that a standard real business cycle (RBC) model augmented with subsistence consumption can explain the several salient features of business cycle fluctuations in developing economies, especially their distinct labor market dynamics under technology shocks.

scholarly journals Implications of Governance, Natural Resources, and Security Threats on Economic Development: Evidence from Sub-Saharan Africa

2021 ◽  
Vol 18 (12) ◽  
pp. 6236
Author(s):  
Husam Rjoub ◽  
Chuka Uzoma Ifediora ◽  
Jamiu Adetola Odugbesan ◽  
Benneth Chiemelie Iloka ◽  
João Xavier Rita ◽  
...  
Keyword(s):  
Economic Development ◽  
Natural Resources ◽  
Causal Effect ◽  
Sub Saharan Africa ◽  
Security Threats ◽  
African Countries ◽  
Significance Level ◽  
Long Run ◽  
Short Run ◽  
Sub Saharan

Sub-Saharan African countries are known to be bedeviled with some challenges hindering the economic development. Meanwhile, some of these issues have not been exhaustively investigated in the context of the region. Thus, this study aimed at investigating the implications of government effectiveness, availability of natural resources, and security threats on the regions’ economic development. Yearly data, spanning from 2007 to 2020, was converted from low frequency (yearly) to high frequency (quarterly) and utilized. Data analysis was conducted using Dynamic heterogeneous panel level estimators (PMG and CS-ARDL). Findings show that while PMG estimator confirms a long-run causal effect of governance, natural resources, and security threats on economic development, only natural resources show a short-run causal effect with economic development, while the CS-ARDL (model 2) confirms the significance of all the variables both in the long and short-run. Moreover, the ECT coefficients for both models were found to be statistically significant at less than 1% significance level, which indicates that the systems return back to equilibrium in case of a shock that causes disequilibrium, and in addition, reveals a stable long-run cointegration among the variables in the model. Finally, this study suggests that the policy makers in SSA countries should place more emphasis on improving governance, managing security challenges, and effectively utilizing rents from the natural resources, as all these have severe implications for the economic development of the region if not addressed.

scholarly journals A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis

2021 ◽  
Vol 14 (7) ◽  
pp. 319
Author(s):  
Hany Fahmy
Keyword(s):  
International Trade ◽  
Structural Breaks ◽  
Developing Economies ◽  
Commodity Prices ◽  
Commodity Price ◽  
Data Set ◽  
Price Series ◽  
Long Run ◽  
Starting Point ◽  
The Impact

The Prebisch-Singer (PS) hypothesis, which postulates the presence of a downward secular trend in the price of primary commodities relative to manufacturers, remains at the core of a continuing debate among international trade economists. The reason is that the results of testing the PS hypothesis depend on the starting point of the technical analysis, i.e., stationarity, nonlinearity, and the existence of structural breaks. The objective of this paper is to appraise the PS hypothesis in the short- and long-run by employing a novel multiresolution wavelets decomposition to a unique data set of commodity prices. The paper also seeks to assess the impact of the terms of trade (also known as Incoterms) on the test results. The analysis reveals that the PS hypothesis is not supported in the long run for the aggregate commodity price index and for most of the individual commodity price series forming it. Furthermore, in addition to the starting point of the analysis, the results show that the PS test depends on the term of trade classification of commodity prices. These findings are of particular significance to international trade regulators and policymakers of developing economies that depend mainly on primary commodities in their exports.

To determine the critical factors for the adoption of cloud computing in the educational sector in developing countries – a fuzzy DEMATEL approach

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Riddhi Rajendra Thavi ◽  
Vaibhav S. Narwane ◽  
Rujuta Hemal Jhaveri ◽  
Rakesh D. Raut
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Influential Factors ◽  
Literature Survey ◽  
Extensive Literature ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Learning Skills ◽  
Content Type ◽  
Practical Implications

PurposeThe paper focuses on reviewing and theorizing the factors that affect the adoption of cloud computing in the education sector narrowing the focus to developing countries such as India.Design/methodology/approachThrough an extensive literature survey, critical factors of cloud computing for education were identified. Further, the fuzzy DEMATEL approach was used to define their interrelationship and its cause and effect.FindingsA total of 17 factors were identified for the study based on the literature survey and experts' input. These factors were classified as causes and effects and ranked and interrelated. “Required Learning Skills and Attitude,” “Lack of Infrastructure,” “Learners' Ability” and “Increased Investment” are found to be the most influential factors.Practical implicationsThe resultant ranking factors can be used as a basis for managing the process of cloud adoption in several institutions. The study could guide academicians, policymakers and government authorities for the effective adoption of cloud computing in education.Originality/valueThe study investigates interdependency amongst the factors of cloud computing for education in context with developing economy. This is one of first study in higher education institutes of India.

The Effect of Real Exchange Rate on Trade Balance in a Resource-Rich Economy: The Case of Mongolia

2018 ◽  
Vol 53 (4) ◽  
pp. 211-224 ◽  
Author(s):  
Gan-Ochir Doojav
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Trade Balance ◽  
Developing Economies ◽  
Jel Classification ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Exchange Rate Depreciation

For resource-rich developing economies, the effect of real exchange rate depreciation on trade balance may differ from the standard findings depending on country specific characteristics. This article employs vector error correction model to examine the effect of real exchange rate on trade balance in Mongolia, a resource-rich developing country. Empirical results show that exchange rate depreciation improves trade balance in both short and long run. In particular, the well-known Marshall–Lerner condition holds in the long run; however, there is no evidence of the classic J-curve effects in the short run. The results suggest that the exchange rate flexibility may help to deal effectively with current account deficits and exchange rate risk. JEL Classification: C32, C51, F14, F32

scholarly journals A Hybrid Fuzzy Multi-Criteria Decision-Making Approach for Data Center Location Selection

2019 ◽  
Vol 1 (1) ◽  
pp. 13-20
Author(s):  
Ferhat Yuna
Keyword(s):  
Decision Making ◽  
Data Center ◽  
Information Technologies ◽  
Data Centers ◽  
Laboratory Method ◽  
Climate Index ◽  
Fuzzy Dematel ◽  
Location Selection ◽  
Center Location ◽  
Data Center Location

In today's world, the fact that information applications have become an indispensable part of life with the effect of the developments in information technologies has led to a huge rate of data production and usage. As a result of this, the need for data centers has increased. Although Turkey is a country with advantages that can play a leading role in the field of data centers in the region where it is located, it has some disadvantages too. Some of these disadvantages are natural disasters index, climate index, energy index, accessibility index, human capital and quality of life index (HCLQ). In this context, these disadvantages are considered as criteria for data center location selection problem. In this study, criteria weights were determined by fuzzy DEMATEL (The Decision Making Trial and Evaluation Laboratory) method in the problem solving and alternatives (81 provinces) were ranked using EDAS (Evaluation based on Distance from Average Solution) method. According to the results, it was found that Istanbul is the best alternative in data center location selection.

Awareness and Usage of Environmental Waste Management Practices (EWMP) of Contractors on construction sites.

2021 ◽  
Vol 5 (1) ◽  
pp. 17-27
Author(s):  
O. J. Oladiran ◽  
A. A. Bayewun ◽  
A. M. Aderogba
Keyword(s):  
Waste Management ◽  
Management Practices ◽  
Public Procurement ◽  
Sampling Technique ◽  
Negative Consequences ◽  
Construction Sites ◽  
Regulatory Policies ◽  
Lagos State ◽  
Polluter Pays Principle ◽  
Waste Management Practices

Construction wastes pose challenges to contractors and clients of construction projects globally, with significant negative consequences on the environment. This study investigates the environmental waste management practices (EWMPs) of contractors on construction sites. The objectives are to determine the level of awareness and adoption of EWMPs. The population of the study was construction professionals on sites in Lagos State, Nigeria. Random sampling technique was used to select 63 companies out of the 126 construction companies in categories C, D and E of firms registered with Lagos State Public Procurement Agency. The targeted respondents were construction professionals in the selected companies. Questionnaires were used to collect data from respondents. Descriptive statistics tools, including mean, percentage and frequency were used for analysis. The study's findings reveal that contractors are aware of about 28 out of the 47 EWMPs identified from literature. These include good site materials storage, ordering exact amount of materials and checking deliveries properly. It also reveals the strategies that are not used as belonging to material exchange/recyclers' association, polluter pays principle, usage of self-contained mini or mobile concrete crusher. It is concluded that although contractors are aware of 28 EWMPs, 26 EWMPs are used on construction sites which are 60% and 55%, respectively. It implies that awareness determines the usage of the EWMPs. The implication is that if the awareness of EWMPs is increased, the implementation among construction contractors will be improved. It is therefore recommended that professionals should increase their awareness and usage of neglected EWMPs. This can be achieved through construction firms, governments and institutions sponsoring training of professionals on EWMPs. Additionally, polluter pays principle and recyclers’ association should be enforced in project implementations. This can be achieved through government legislation and government regulatory policies for project procurements.Keywords: Awareness; Best practices; Construction sites; Nigeria; Waste management.    

Analysing the interrelationship of knowledge creation and diffusion challenges of renewable energy technologies development in Iran

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kiarash Fartash ◽  
Amir Ghorbani ◽  
Mohammadsadegh Khayatian ◽  
Mahdi Elyasi
Keyword(s):  
Renewable Energy ◽  
Knowledge Creation ◽  
Causal Effect ◽  
Academic Research ◽  
Laboratory Method ◽  
Policy Implications ◽  
Content Type ◽  
Renewable Energy Technologies ◽  
Energy Technologies ◽  
And Diffusion

Purpose This paper aims at identifying knowledge creation and diffusion challenges and explaining their causal relationship in renewable energy technologies in Iran. Design/methodology/approach By reviewing literature of renewable energy technologies development, key knowledge creation and diffusion challenges are extracted. Then, the decision-making trial and evaluation laboratory method is used to investigate the cause-effect relationships as well as the influence structure of aforementioned challenges in Iran. Findings The results indicate that lack of specialized higher education and research institutions (C4), limited international product development and technological cooperation with international pioneer firms (C8), insufficient international research interactions of institutions and academic research centres (C6), tight and temporary subsidies to domestic institutes (C13), limited and non-systematic government grants (C14), insufficient tax incentives with low impact on investment (C12), weak enforcement of intellectual property rights (C5), low number and relatively poor performance of NGOs and scientific and trade associations (C19) and the limited number of conferences, workshops, meetings and specialized journals (C15) are among the most instrumental challenges of knowledge creation and diffusion of renewable energy technologies development in Iran. Originality/value This paper identifies knowledge creation and diffusion challenges of renewable energy technologies development in Iran, which is applicable for other developing countries. It also analyses the interrelationship and causal effect between challenges which is a neglected issue in the literature and has beneficial theoretical and policy implications.

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