Russia invests in oil as though net zero is illusion

Significance Although Russia has itself adopted net-zero targets, current policy is to use the transition period by ramping up production to monetise reserves of oil. Efforts to reduce the industry's carbon footprint do not detract from these plans. Impacts Any delay in oil output recovery will weigh on Russian economic growth in 2022. The Russian government will continue subsidising refinery modernisation. Russian oil majors' high dividend yields and historically elevated share prices will reassure shareholders.

2015 ◽  
Vol 6 (3) ◽  
pp. 263-282 ◽  
Author(s):  
Dejin Su ◽  
Dayong Zhou ◽  
Chunlin Liu ◽  
Lanlan Kong

Purpose – The purpose of this paper is to analyze and summarize the development of science and technology (S & T) policies in China from a government-driven perspective in chronological order. To develop knowledge-based economy, China enacts a range of S & T policies since “Reform and Open Policy” started in 1978. Furthermore, it investigates the overall effects of these S & T policies on university-industry linkages (UILs). Design/methodology/approach – This paper conducts an analysis framework of S & T policies in historical sequence to explain how government drives UILs to stimulate technological progress and economic growth in China. Findings – More than a site for high-quality workforce education and knowledge spread, universities as an important part of national innovation are required to participate in economic activities. Considering that most Chinese universities are national, S & T policies with particular regard to university technology transfer would be more important and essential. This research finds that S & T policies enacted by government have made critical contributions to UILs in economic transition period, such as improving academic faculty, enhancing university–industry collaborations and supporting university spin-off formation. The experiences of China suggest that government should enact more effective S & T policies in the knowledge-based economy era. Practical implications – First, universities need to educate high-level human resources that are important for economic growth and social development. Second, universities need to engage in R & D activities and enhance their collaboration with industries, such as consulting services, research contracts with industry, patent licensing and other general knowledge commercial mechanisms. Third, universities also can directly transfer commercial knowledge to start up new businesses by itself or in partnership with industrial sectors. Without doubt, a series of S & T policies or programs enacted by China’s government to drive entrepreneurship continuously played critical role in the UILs over the past 26 years. Originality/value – This paper is a pioneering work on how S & T policies enacted by government drive UILs to stimulate technological progress in transitional China.


Significance This will be only the second time, after Pinera’s first administration (2010-14), that the right has held power since the restoration of democracy in 1990. It suggests that an increasing number of centre voters, for whom the right's ties with the 1973-90 Pinochet dictatorship had made it taboo, now see it as a legitimate option. Impacts NM’s defeat will deepen the coalition’s internal divisions, possibly leading to its break-up. Market confidence will rise: on December 18, local share prices climbed 7% following Pinera’s election. Opposition to Pinera will provide FA with an excellent opportunity to hone its skills and test its strength.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusniliyana Yusof ◽  
Kaliappa Kalirajan

PurposeThe study contributes to the aim of regional development policy in reducing regional disparities, by examining the spatial balance in socioeconomic development across the states of Malaysia based on composite development index (CDI). Besides, the study has attempted to understand the issues in the development gaps across Malaysian states by evaluating the factors that explain the variation in economic growthDesign/methodology/approachThis study uses three-stage least squares (3SLS) and bootstrap sampling and estimation techniques to examine the factors that explain the variations in the growth of development across the states in Malaysia. The analysis involves 13 states in Malaysia (Johor, Melaka, Negeri Sembilan, Pulau Pinang, Perak, Perlis, Selangor, Kedah, Kelantan, Pahang, Terengganu, Sabah and Sarawak) from 2005 to 2015.FindingsThe pattern in the spatial socioeconomic imbalance demonstrates a decreasing trend. However, the development index reveals that the performance of less developed states remained behind that of the developed states. The significant factors in explaining the variation in growth across the Malaysian states are relating to agriculture, manufacturing, human capital, population growth, Chinese ethnicity, institutional factors and natural resources.Research limitations/implicationsThe authors focused on Malaysian states over the period between 2005 and 2015. The authors encountered some limitations in obtaining relevant data such as international factors and technological change that might also explain the variation in economic growth as the data on these variables are not reported at the state level. Moreover, the data on GSDP by sector was only available from the year 2005. Second, the study is based on secondary data. Future studies might examine the factors that contribute to the development gap across Malaysian states through interviews or questionnaires and compare the findings with the existing results. Despite its limitations, this study contributes to the existing literature that emphasizes on spatial balance of socioeconomic in a developing country, focusing on Malaysian states.Practical implicationsThese findings provide guidance for policymakers by understanding key potential areas to reduce the disparity in economic growth across Malaysian states by understanding their impact on the growth.Originality/valueThis study employs different method of 3SLS and bootstrap sampling and estimation techniques in examining the factors that explain the variations in the growth of development across the states in Malaysia.


Author(s):  
Min Shang ◽  
Ji Luo

The expansion of Xi’an City has caused the consumption of energy and land resources, leading to serious environmental pollution problems. For this purpose, this study was carried out to measure the carbon carrying capacity, net carbon footprint and net carbon footprint pressure index of Xi’an City, and to characterize the carbon sequestration capacity of Xi’an ecosystem, thereby laying a foundation for developing comprehensive and reasonable low-carbon development measures. This study expects to provide a reference for China to develop a low-carbon economy through Tapio decoupling principle. The decoupling relationship between CO2 and driving factors was explored through Tapio decoupling model. The time-series data was used to calculate the carbon footprint. The auto-encoder in deep learning technology was combined with the parallel algorithm in cloud computing. A general multilayer perceptron neural network realized by a parallel BP learning algorithm was proposed based on Map-Reduce on a cloud computing cluster. A partial least squares (PLS) regression model was constructed to analyze driving factors. The results show that in terms of city size, the variable importance in projection (VIP) output of the urbanization rate has a strong inhibitory effect on carbon footprint growth, and the VIP value of permanent population ranks the last; in terms of economic development, the impact of fixed asset investment and added value of the secondary industry on carbon footprint ranks third and fourth. As a result, the marginal effect of carbon footprint is greater than that of economic growth after economic growth reaches a certain stage, revealing that the driving forces and mechanisms can promote the growth of urban space.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olumide Olusegun Olaoye ◽  
Ukafor Ukafor Okorie ◽  
Oluwatosin Odunayo Eluwole ◽  
Mahmood Butt Fawwad

PurposeThis study examines the asymmetric effect of government spending on economic growth in Nigeria over the period 1980–2017. Specifically, this study investigates whether the response of economic growth to government spending shocks differs according to the nature of shocks on them. In addition, the authors examine whether the stabilizing effects of fiscal policies are dependent on the state of the business cycle.Design/methodology/approachThe study adopts the linear fiscal reaction function in addition to the nonlinear regression model of Hatemi-J (2011, 2012), Granger and Yoon (2002), which allows us to separate negative shocks from positive shocks to government spending. Similarly, the authors adopt the generalized method of moments (GMM) techniques of Hansen (1982) to account for simultaneity and endogeneity problems inherent in dynamic model.FindingsThe authors’ findings reveal that there is evidence of asymmetry in the government spending–economic growth nexus in Nigeria over the period of study. Specifically, the authors find that the response of economic growth to government spending shocks differs according to the nature of shocks on them. More specifically, the study established that the stabilizing effects of fiscal policies are dependent on the state of the business cycle.Originality/valueUnlike the traditional method of modeling asymmetry, which adopts the simple inclusion of a squared government spending term or by the inclusion of a cubic government spending term, the model adopted in this study allows us to model shocks and show how the responses of economic growth to government expenditure differ according to the nature of shocks on them.


2015 ◽  
Vol 7 (4) ◽  
pp. 421-445 ◽  
Author(s):  
James R. Barth ◽  
Tong Li ◽  
Wen Shi ◽  
Pei Xu

Purpose – The purpose of this paper is to examine recent developments pertaining to China’s shadow banking sector. Shadow banking has the potential not only to be a beneficial contributor to continued economic growth, but also to contribute to systematic instability if not properly monitored and regulated. An assessment is made in this paper as to whether shadow banking is beneficial or harmful to China’s economic growth. Design/methodology/approach – The authors start with providing an overview of shadow banking from a global perspective, with information on its recent growth and importance in selected countries. The authors then focus directly on China’s shadow banking sector, with information on the various entities and activities that comprise the sector. Specifically, the authors examine the interconnections between shadow banking and regular banking in China and the growth in shadow banking to overall economic growth, the growth in the money supply and the growth in commercial bank assets. Findings – Despite the wide range in the estimates, the trend in the size of shadow banking in China has been upward over the examined period. There are significant interconnections between the shadow banking sector and the commercial banking sector. Low deposit rate and high reserve requirement ratios have been the major factors driving its growth. Shadow banking has been a contributor, along with money growth, to economic growth. Practical implications – The authors argue that shadow banking may prove useful by diversifying China’s financial sector and providing greater investments and savings opportunities to consumers and businesses throughout the country, if the risks of shadow banking are adequately monitored and controlled. Originality/value – To the authors’ knowledge, this paper is among the few to systematically evaluate the influence of shadow banking on China’s economic growth.


2017 ◽  
Vol 16 (1) ◽  
pp. 54-84 ◽  
Author(s):  
Magda Kandil ◽  
Muhammad Shahbaz ◽  
Mantu Kumar Mahalik ◽  
Duc Khuong Nguyen

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.


Significance He appears to have weathered this early political storm, achieving notable successes in areas such as tax reform. However, the political outlook remains uncertain, with a likely COVID-19 resurgence heralding new challenges in 2022. Impacts Containing the spread of the Omicron variant will be a priority for Lasso in the coming months. A pandemic resurgence would place downward pressure on economic growth and tax collection. Tax reforms will please international investors and support efforts to attract foreign direct investment to stimulate economic activity.


Author(s):  
Parul Singh ◽  
Areej Aftab Siddiqui

Purpose The development in information communication and technology (ICT) has led to many changes such as reorganization of economics, globalization and trade. With more innovation processes being organized and adopted across technologies, trade, etc., these are getting more closely related and needs fresh research perspective. This study aims to empirically investigate the interrelationship between ICT penetration, innovation, trade and economic growth in 20 developed and developing nations from 1995 to 2018. Design/methodology/approach The present paper examines both long-run and short-run relationships between the four variables, namely, innovation, ICT penetration, trade and economic growth, by applying panel estimation techniques of regression and vector error correction model. ICT penetration and innovation indices are constructed using principle component analysis technique. Findings The findings of the study highlight that for developed nations, growth, trade and innovation are significantly interlinked with no significant role of ICT penetration While for developing nations, significant relationship is present between growth and trade, ICT penetration and innovation. With respect to trade, in case of developed nations, significant relationship is present with ICT penetration. While for developing nations there is no significant result for trade promotion. On further employing the vector error correction model, the presence of short run causality between growth, trade and innovation in case of developed nations is established but no such causality between variables for developing nations is seen. Originality/value The present paper adds to the existing strand of literature examining interlinkage between innovation and growth by introducing new variables of ICT penetration and innovation.


Significance As many as a dozen lockdown parties are now alleged to have been held at Downing Street, significantly damaging Johnson’s support among the public and his Conservative Party. His position as party leader and prime minister is gravely threatened. Impacts Johnson’s domestic troubles, coupled with rising economic concerns, increase the chance of an agreement with the EU over Northern Ireland. Disillusionment with Johnson, opposition to net-zero and culture wars open the door for Nigel Farage’s Reform Party to revive its appeal. Rising inflation threatens to undermine consumer confidence and slow the economic recovery over the coming year.


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