Resource Endowments in Emerging Market Countries

2021 ◽  
pp. 097491012110043
Author(s):  
Liu Qingjie
Keyword(s):  
Food Security ◽  
Water Use ◽  
Carbon Emissions ◽  
Emerging Market ◽  
Fossil Energy ◽  
Consumption Structure ◽  
Strategic Resources ◽  
Emerging Market Countries ◽  
Consumption Reduction ◽  
Per Capita

This article examines the emerging market countries on their national strategic resources—farmland, fresh water, and fossil energy—which are analyzed from the perspectives of distribution, status of development, and existing issues. The study draws the following conclusions: Emerging market countries have abundant farmland resources yet inadequate per capita resources; because of extensive operation on farmland, grain yield is low, which threatens food security; emerging market countries are saliently short in water resources per capita and face imbalances and low productivity over water use, and their agriculture practices are water-intensive; emerging market countries are growing as global centers for production, consumption, and trade of fossil energy, with a long, coal-dominated consumption structure that has a growing momentum, which subjects them to a greater pressure to reduce carbon emissions; and emerging market countries are inefficient in the use of energy, though they have huge potential for energy conservation and consumption reduction.

scholarly journals Study on Influencing Factors of Carbon Emissions from Energy Consumption of Shandong Province of China from 1995 to 2012

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jiekun Song ◽  
Qing Song ◽  
Dong Zhang ◽  
Youyou Lu ◽  
Long Luan
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Shandong Province ◽  
Stirpat Model ◽  
Per Capita Gdp ◽  
Consumption Structure ◽  
Per Capita ◽  
The Impact ◽  
Consumption Intensity

Carbon emissions from energy consumption of Shandong province from 1995 to 2012 are calculated. Three zero-residual decomposition models (LMDI, MRCI and Shapley value models) are introduced for decomposing carbon emissions. Based on the results, Kendall coordination coefficient method is employed for testing their compatibility, and an optimal weighted combination decomposition model is constructed for improving the objectivity of decomposition. STIRPAT model is applied to evaluate the impact of each factor on carbon emissions. The results show that, using 1995 as the base year, the cumulative effects of population, per capita GDP, energy consumption intensity, and energy consumption structure of Shandong province in 2012 are positive, while the cumulative effect of industrial structure is negative. Per capita GDP is the largest driver of the increasing carbon emissions and has a great impact on carbon emissions; energy consumption intensity is a weak driver and has certain impact on carbon emissions; population plays a weak driving role, but it has the most significant impact on carbon emissions; energy consumption structure is a weak driver of the increasing carbon emissions and has a weak impact on carbon emissions; industrial structure has played a weak inhibitory role, and its impact on carbon emissions is great.

Harinder S. Kohli (ed.). Growth and Development in Emerging Market Economies: International Private Capital Flows, Financial Markets and Globalisation. New Delhi: Sage Publication 2008. 369 pages. Hardbound. Indian Rs 695.00.

2008 ◽  
Vol 47 (3) ◽  
pp. 304-305
Author(s):  
Henna Ahsan
Keyword(s):  
Capital Flows ◽  
Growth And Development ◽  
Global Economy ◽  
Emerging Market ◽  
Balance Sheet ◽  
Emerging Market Economies ◽  
New Delhi ◽  
Infrastructure Development ◽  
Market Economies ◽  
Emerging Market Countries

The book discusses the different experiences in Asia and Latin America, while covering the closely related areas under the purview of Emerging Market Economies (EMEs). The first chapter, “Introduction and Overview” has written by Harinder S. Kohli gives an excellent review of the existing literature on the subject. The book discusses six related topics which include nine papers presented at the Emerging Markets Forum Meeting held in Jakarta, Indonesia, in September 2006. The book highlights the main factors of growth and development in Emerging Market Economies (EMEs) now closely related with international capital flows, development of financial market, the countries’ ability to integrate successfully with the global economy through trade and investment and their ability to forge public-private partnerships including infrastructure development. Chapter 2, of the book is an article titled “Global Imbalances, Oil Revenues and Capital Flows to Emerging Market Countries” by Jack Boorman explains the favourable global environment and its impact on capital flows to Emerging Market Countries (EMCs). The EMCs got advantage from this benign global economic environment, such as high economic growth rate, increase in exports, better national balance sheet and increase in foreign exchange reserves, but due to high oil prices the situation has been changed.

scholarly journals Open Intellectual Property Models for Plant Innovations in the Context of New Breeding Technologies

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1218
Author(s):  
Michael A. Kock
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Intellectual Property ◽  
Water Use Efficiency ◽  
Water Use ◽  
Open Innovation ◽  
Climate Resilience ◽  
Use Efficiency ◽  
Mitigate Climate Change ◽  
New Breeding Technologies

Plant related innovations are critical to enable of food security and mitigate climate change. New breeding technologies (NBTs) based on emerging genome editing technologies like CRISPR/Cas will facilitate “breeding-by-editing” and enable complex breeding targets—like climate resilience or water use efficiency—in shorter time and at lower costs. However, NBTs will also lead to an unprecedented patent complexity. This paper discusses implications and potential solutions for open innovation models.

scholarly journals Examining the Driving Factors of the Direct Carbon Emissions of Households in the Ebinur Lake Basin Using the Extended STIRPAT Model

2021 ◽  
Vol 13 (3) ◽  
pp. 1339
Author(s):  
Ziyuan Chai ◽  
Zibibula Simayi ◽  
Zhihan Yang ◽  
Shengtian Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Driving Factors ◽  
Series Data ◽  
Lake Basin ◽  
Stirpat Model ◽  
Consumption Structure ◽  
Ebinur Lake ◽  
Ebinur Lake Basin

In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987–2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents’ year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.

scholarly journals How Do the Population Structure Changes of China Affect Carbon Emissions? An Empirical Study Based on Ridge Regression Analysis

2021 ◽  
Vol 13 (6) ◽  
pp. 3319
Author(s):  
Chulin Pan ◽  
Huayi Wang ◽  
Hongpeng Guo ◽  
Hong Pan
Keyword(s):  
Population Structure ◽  
Regression Analysis ◽  
Population Size ◽  
Carbon Emissions ◽  
Ridge Regression ◽  
Employment Structure ◽  
Consumption Structure ◽  
Structure Changes ◽  
Size Population ◽  
Ridge Regression Analysis

This study focuses on the impact of population structure changes on carbon emissions in China from 1995 to 2018. This paper constructs the multiple regression model and uses the ridge regression to analyze the relationship between population structure changes and carbon emissions from four aspects: population size, population age structure, population consumption structure, and population employment structure. The results showed that these four variables all had a significant impact on carbon emissions in China. The ridge regression analysis confirmed that the population size, population age structure, and population employment structure promoted the increase in carbon emissions, and their contribution ratios were 3.316%, 2.468%, 1.280%, respectively. However, the influence of population consumption structure (−0.667%) on carbon emissions was negative. The results showed that the population size had the greatest impact on carbon emissions, which was the main driving factor of carbon emissions in China. Chinese population will bring huge pressure on the environment and resources in the future. Therefore, based on the comprehensive analysis, implementing the one-child policy will help slow down China’s population growth, control the number of populations, optimize the population structure, so as to reduce carbon emissions. In terms of employment structure and consumption structure, we should strengthen policy guidance and market incentives, raising people’s low-carbon awareness, optimizing energy-consumption structure, improving energy efficiency, so as to effectively control China’s carbon emissions.

scholarly journals Seasonal Variation of Rainy and Dry Season Per Capita Water Consumption in Freetown City Sierra Leone

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 499
Author(s):  
Salmatta Ibrahim A ◽  
Fayyaz Ali Memon ◽  
David Butler
Keyword(s):  
Seasonal Variation ◽  
Water Use ◽  
Water Consumption ◽  
Low Income ◽  
Rainy Season ◽  
Predictor Variable ◽  
Dry Season ◽  
Data Set ◽  
Per Capita ◽  
End Use

Ensuring a sustainable urban water supply for developing/low-income countries requires an understanding of the factors affecting water consumption and technical evidence of individual consumption which can be used to design an improved water demand projection. This paper compared dry and rainy season water sources available for consumption and the end-use volume by each person in the different income groups. The study used a questionnaire survey to gather household data for a total of 398 households, which was analysed to develop the relationship between per capita water consumption characteristics: Socio-economic status, demographics, water use behaviour around indoor and outdoor water use activities. In the per capita water consumption patterns of Freetown, a seasonal variation was found: In the rainy season, per capita water consumption was found to be about 7% higher than the consumption for the full sample, whilst in the dry season, per capita water consumption was almost 14% lower than the full survey. The statistical analysis of the data shows that the average per capita water consumption for both households increases with income for informal slum-, low-, middle- and high-income households without piped connection (73, 78, 94 and 112 L/capita/day) and with connection (91, 97, 113 and 133 L/capita/day), respectively. The collected data have been used to develop 20 statistical models using the multiple linear stepwise regression method for selecting the best predictor variable from the data set. It can be seen from the values that the strongest significant relationships of per capita consumption are with the number of occupants (R = −0.728) in the household and time spent to fetch water for use (R = −0.711). Furthermore, the results reveal that the highest fraction of end use is showering (18%), then bathing (16%), followed by toilet use (14%). This is not in agreement with many developing countries where toilet use represents the largest component of indoor end use.

Economic Structural Transformation in Emerging Market Countries

2021 ◽  
pp. 097491012110046
Author(s):  
Kunling Zhang
Keyword(s):  
Economic Development ◽  
Labor Force ◽  
Structural Transformation ◽  
Service Sector ◽  
Agricultural Sector ◽  
Emerging Market ◽  
Value Added ◽  
Industrial Sector ◽  
Trade Structure ◽  
Emerging Market Countries

This article analyzes the structural transformation in 30 emerging market countries (E30) on the dimensions of industry, trade, and urbanization. It finds that first, in the agricultural sector, E30 have contributed greatly to the increase of the global agricultural productivity and the transfer of labor force from the agricultural sector to industry or the service sector. However, these countries still feature a high percentage of agricultural employment, which means there is vast room for shifting the agricultural labor force. Second, in the industrial sector, E30 have made remarkable contributions to the world’s industrial development but have also displayed a trend of premature “deindustrialization.” Third, the service sector has picked up speed and gradually turned into a new driver of economic development in E30. Against this backdrop, E30 face the major challenge of how to cope with the premature deindustrialization and smoothly shift the economic growth engine from the industrial sector to the service sector. Fourth, E30 have become an important force in the world trade, with their trade structure switching from simple, primary, low-value-added goods to sophisticated, high-grade, and high-value-added goods and services. However, some emerging market countries are more susceptible to the impacts of the anti-globalization trend because of their high reliance on foreign trade and improper trade structure. Therefore, how to diversify the economy and enhance its economic resilience holds the key to the sustainable economic development of E30. Fifth, E30 have contributed greatly to world urbanization. As urbanization relies more on the service sector than on the industrial sector, it is vital to properly strike a balance between industrialization and urbanization, and between industrialization and service sector development.

Strategizing food security: Natural and economic environment for the agricultural sector's advancement

2021 ◽  
Vol 19 (6) ◽  
pp. 1034-1052
Author(s):  
Denis Yu. SAMYGIN
Keyword(s):  
Food Security ◽  
Agricultural Land ◽  
Government Support ◽  
Climate Forcing ◽  
Economic Conditions ◽  
Production And Consumption ◽  
Per Capita ◽  
The Impact ◽  
Production Conditions

Subject. This article examines the impact of the natural and economic conditions and factors of Russia's regions on the development of agriculture. Objectives. The article aims to assess the role of climate forcing in the development of agriculture. Methods. For the study, I used the binning technique. An author-developed spatial database of Russia's regions for 2017–2019 was used as an information resource. The cadastral value of one hectare of agricultural land was used as an analytical expression of the natural and economic conditions of business activities. Results. The article describes a directly proportional dependence of and relationships between natural-and-economic conditions and achieved results in the production and consumption of quality products per capita. Conclusions. It is advisable to increase the amount of government support for regions with unfavorable production conditions, develop the competitive potential of the majority of farms in relation to products that are profitable for producers and consumers.

Sign in / Sign up

Export Citation Format

Share Document