Investigating the effects of environmental patents and climate change mitigation technologies on sustainable economic growth in the Middle East

Developed Countries ◽

Factors Affecting ◽

Middle East Countries ◽

Sustainable Economic Growth ◽

Abstract Sustainable economic growth and identifying factors affecting it are among the important issues which have always received attention from researchers of different countries. Accordingly, one of the factors affecting economic growth, which has received attention from researchers in the developed countries over recent years, is the issue of environmental technologies that enter the economic cycle of other countries after being patented through technology transfer. The current research investigated the role of the environment-related patents and the effects of the patented technological innovations compatible with climate change mitigation on the economic growth and development in the Middle East countries within a specific time period. The required data were gathered from the valid global databases, including Organization for Economic Co-operation and Development and World Bank and have been analyzed using multi-linear regression methods and econometric models with Eviews 10 software. The obtained results with 95% confidence level show that the environmental patents (β = 0.02) and environment management (β = 0.04) and technologies related to the climate change mitigation (β = 0.02) have a significant positive impact on the sustainable economic development and growth rate in the studied countries. Such a study helps innovators and policymakers in policy decisions related to sustainable development programs from the perspective of environmentally friendly technologies by demonstrating the role of patents in three important environmental areas, namely environmental management, water-related adaptation and climate change mitigation, as one of the factors influencing sustainable economic growth.

Evaluating the Role of Community-Managed Forest in Carbon Sequestration and Climate Change Mitigation of Tripura, India

Water Air & Soil Pollution ◽

10.1007/s11270-021-05133-z ◽

2021 ◽

Vol 232 (5) ◽

Author(s):

Dipankar Deb ◽

Mary Jamatia ◽

Jaba Debbarma ◽

Jitendra Ahirwal ◽

Sourabh Deb ◽

...

Keyword(s):

Climate Change ◽

Carbon Sequestration ◽

Managed Forest ◽

Climate Change Management - Addressing the Challenges in Communicating Climate Change Across Various Audiences ◽

The “Paris Lifestyle”—Bridging the Gap Between Science and Communication by Analysing and Quantifying the Role of Target Groups for Climate Change Mitigation and Adaptation: An Interdisciplinary Approach

10.1007/978-3-319-98294-6_23 ◽

2018 ◽

pp. 375-397 ◽

Cited By ~ 1

Author(s):

Stephan Schwarzinger ◽

David Neil Bird ◽

Markus Hadler

Keyword(s):

Climate Change ◽

Interdisciplinary Approach ◽

Target Groups ◽

Mitigation And Adaptation ◽

The Role of Carbon Capture and Sequestration Policies for Climate Change Mitigation

Environmental and Resource Economics ◽

10.1007/s10640-013-9757-5 ◽

2014 ◽

Vol 60 (1) ◽

pp. 55-80 ◽

Cited By ~ 19

Author(s):

Matthias Kalkuhl ◽

Ottmar Edenhofer ◽

Kai Lessmann

Keyword(s):

Climate Change ◽

Carbon Capture ◽

Carbon Capture And Sequestration ◽

Climate Change Mitigation: The Role of Agriculture

Journal of Agricultural Extension ◽

10.4314/jae.v15i1.6 ◽

2013 ◽

Vol 15 (1) ◽

Author(s):

CJ Obiora ◽

MC Madukwe

Keyword(s):

Climate Change ◽

Situational factors driving climate change mitigation behaviors: the key role of pro-environmental family

Environment Development and Sustainability ◽

10.1007/s10668-019-00496-0 ◽

2019 ◽

Vol 22 (8) ◽

pp. 7269-7285 ◽

Cited By ~ 1

Author(s):

Victor Corral-Verdugo ◽

Marc Yancy Lucas ◽

César Tapia-Fonllem ◽

Anais Ortiz-Valdez

Keyword(s):

Climate Change ◽

Situational Factors ◽

Prospek Partisipasi Petani dalam Program Pembangunan Hutan Rakyat untuk Mitigasi Perubahaan Iklim di Wonosobo

Forum Geografi ◽

10.23917/forgeo.v25i1.5036 ◽

2011 ◽

Vol 25 (1) ◽

pp. 85

Author(s):

Evi Irawan

Keyword(s):

Climate Change ◽

Farm Forestry ◽

Factors Affecting ◽

Forestry Management ◽

Ex Ante ◽

Forestry Project ◽

Farmer Education ◽

Past Experiences ◽

Past experiences indicate that the success of many farm forestry projects is mainly influenced by farmers’ participation. Ex ante estimation of the likelihood of farmers’ participation in a particular farm forestry project might reduce the risk of project failure. This article is to analyze, ex ante, factors affecting a farmer’s participation in a hypothetical farm forestry project for climate change mitigation based upon a survey data of 117 farm forestry farmers in Tempurejo Village, Wonosobo Regency. Logit estimation suggests that the likelihood of a farmer’s participation is likely affected by age of farmer, education, farm household size and farmer’s experience in farm forestry business. Two policies implication of these findings are that government should increase farmers’ knowledge of climate change through extension programs, such as climate field school, and align the design of farm forestry projects for climate change mitigation with the prevailing farm forestry management system practiced by farmers.

Advances in Human Services and Public Health - Handbook of Research on Economic and Social Impacts of Population Aging ◽

The Impact of Population Aging on Economic Growth: Panel Data Evidence from Middle East Countries

10.4018/978-1-7998-7327-3.ch005 ◽

2021 ◽

pp. 67-86

Author(s):

Abdullah Abdulaziz Bawazir ◽

Mohamed Aslam ◽

Ahmad Farid Osman

Keyword(s):

Economic Growth ◽

Panel Data ◽

Middle East ◽

Fixed Effects ◽

Population Aging ◽

Developed Countries ◽

Ordinary Least Squares ◽

Dependency Ratio ◽

Middle East Countries ◽

The Developed Countries

This study examines the relationship between population aging and economic growth in a panel of 10 selected Middle East countries for the period of 1996–2016. For this purpose, this study uses two different measures of population aging, namely population aged 65 and over and old dependency ratio, to investigate their impacts on economic growth. The study utilizes the three alternative models of static panel data comprised of the pooled ordinary least squares, random effects, and fixed effects. The results of the robust fixed effects model indicate that the population aged 65 and over and the old dependency ratio have a positive effect on economic growth. The finding supports the argument indicating that an aging population does not necessarily adversely affect economic growth in the developing countries as it does in the developed countries. Therefore, the elderly population is not a matter of concern for the Middle East and the mechanisms through which the effect can take place are savings behavior and human capital accumulation of the individuals.