The puzzle of greenhouse gas footprints of oil abundance

The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oil-abundant settings. To address the research question, the study puts forward a three-sector decision model, which provides a common ground for the assessment of the interaction of the structuralist and institutional factors influencing environmental pollution in the oil-reliant economies. The study shows that fossil-fuel abundance triggers forces, which induce diametrically opposed effects concerning atmospheric pollution. These are the rising carbon-intensive oil extraction and processing and fossil-fueled power generation versus shrinkage of the carbon-intensive manufacturing and growth of the low-carbon tertiarization. The theoretical analysis enables compartmentalization of the essential factors, which determine GHG emissions in the respective countries. To assess the significance of the proposed theoretical framework, the study employs multivariate panel co-integration techniques and two-stage fixed effects estimations for a dataset of 38 oil-producing countries for the time period between 1960 and 2018. In contrast to the existing literature, this study drives apart from the black box approaches that employ just one omnibus variable, per capita income.     

Growth in manufacturing output in Ireland between the Union and the Famine: Some evidence

Pre-Famine Ireland is perceived to have undergone a process of deindustrialization as a result of trade with Great Britain. This article presents evidence that manufacturing output growth was positive and sufficient to keep pace with or exceed population growth. The textile industry in which the bulk of the manufacturing labour force was employed performed relatively poorly, though this was largely due to an internal shock in the form of technical and organisational change in the linen industry rather than trade with Britain. Concentration on the performance of the textile sector has distracted attention from the good performance in other sectors.     

去工业化对收入不平等的影响:机制分析与实证检验

基于126个国家1991-2017年的面板数据,考察了去工业化对收入不平等的影响。研究发现,去工业化会显著加剧收入不平等程度,这在发展中经济体尤为显著。从传导机制看,去工业化既可以通过劳动力就业转移直接影响收入不平等,也可通过非熟练劳动力就业和服务业部门就业分化间接影响收入不平等。一方面,去工业化导致非熟练劳动力受到更大冲击,致使该部分劳动力失业,加剧收入不平等;另一方面,去工业化导致非熟练劳动力的就业从工业的高薪部门转移至服务业的低薪部门,最终影响收入不平等。进一步研究发现,在可能存在"过早去工业化"的国家去工业化对收入不平等的作用更加明显。因此发展中经济体要着重预防由于去工业化可能带来的收入不平等程度恶化。     

世界城市经济发展的最新趋势及其对北京的启示

本文通过对经济全球化和知识经济背景下,国际大都市经济职能演变和城市发展动力的探讨,总结了国际大都市经济发展的最新特点和趋势,并通过对北京市经济发展过程中现有问题的思考,提出国际大都市成功经验对北京的启示。     

Does the inequality-credit-crisis nexus exist? An empirical re-examination

ABSTRACT

Rajan claims that rising inequality led to financial crises through credit booms in the U.S. Kumhof and Ranciere provide a theoretical formulation for this hypothesis. However, their assertions are not supported by cross-country evidence found in the work of Bordo and Meissner. A few subsequent empirical studies, albeit inspired by this pioneering work, find new evidence not in line with its conclusion but with the Rajan hypothesis. To clarify this controversial issue, we base our study on the B-M framework, resort to different estimators, and employ more model specifications by incorporating the role of deindustrialization. We find strong evidence for the inequality-credit-crisis nexus as modelled by Kumhof et al.     

THE DRIVERS OF STRUCTURAL CHANGE

The main goal of this paper is to provide an integrated survey of the literature devoted to identifying the drivers of structural change, broadly defined as the process of reallocation of economic activity across the three broad sectors agriculture, manufacturing and services. Using the GGDC 10‐Sector Database, this paper first presents the empirical facts associated with structural change in different regions of the world – that is Europe and the USA, Asia, Latin America, and Africa – then reviews four determinants of structural change: (i) changes in income, (ii) changes in relative (sectoral) prices, (iii) changes in input–output linkages and (iv) changes in comparative advantage(s) via globalization and trade.     

Immiserizing deindustrialization: A dynamic trade model with credit constraints

The paper develops an open economy dynamic model with bequests and credit constraints. The agricultural sector uses only labor, the industrial sector needs an indivisible investment. Under autarky, productive agriculture provides the funds needed for investment in industry and in equilibrium credit constraints are not binding. If agriculture is not sufficiently productive, the price of the industrial good must be high enough to make the industrial sector sustainable. In an open economy, if the country has the comparative advantage in agriculture, deindustrialization may occur over time. Deindustrialization is welfare-reducing when the negative wealth distributional effects swamp the gains from trade.     

日本产业海外转移趋势及对我国区域经济发展的启示

选取产业海外转移较为严重的日本为研究对象,考察了日本产业海外转移状况、日本产业海外转移趋势及产业海外转移对日本国内经济的影响,并据此分析了日本产业空心化现象的原因,以期为我国区域经济发展提供参考和启示。     

Deindustrialization in 18th and 19th century India: Mughal decline, climate shocks and British industrial ascent

India was a major player in the world export market for textiles in the early 18th century, but by the middle of the 19th century it had lost all of its export market and much of its domestic market, primarily to Britain. The ensuing deindustrialization was greatest c1750-c1860. We ask how much of India’s deindustrialization was due to local supply-side forces—such as political fragmentation and a rising incidence of drought, and how much to world price shocks. An open, three-sector neo-Ricardian model organizes our thinking and a new relative price database implements the empirical analysis. We find local supply side forces were important from as early as 1700. We then assess the size of Indian deindustrialization in comparison with other parts of the periphery.