Population growth and economic growth: a reconsideration

The relationship between population growth and development has long been a controversial topic in the economic development literature. Early work by Hoover and Coale and more recent work by Blanchet suggest that high fertility suppresses per capita income growth. However, recent work by Kelley and Srinivasan are ambivalent about such a neo-Malthusian relationship between population growth and economic growth. The authors examine these conflicting positions. They emphasize that the rates of both population growth and income growth are endogenous variables within a general equilibrium framework. An endogenous growth model with endogenous fertility is then developed. It is found that when all exogenous variables are controlled for, there exists an inverse relation between population growth and economic growth. However, when some exogenous factors change, such as an improvement in technological progress, the relation becomes ambiguous. This suggests that the conflicting findings in the literature may be because of the presence of substantial heterogeneity in unobserved variables across countries and over time in cross-country panel data sets.     

Chinese economy in the new era

The “new era”, a term introduced by President Xi Jinping, may also be identified as the Xi era, during which China will be transformed from a moderately well‐off to a strong and wealthy nation. In the new era, the Chinese Government will deepen economic reform, widen economic opening and enhance the quality of economic growth. / Our projections show that by 2020, Chinese real GDP per capita, in 2017 prices, will exceed US$10,000, an economic development milestone. By 2031, Chinese real GDP will surpass US real GDP (US$29.4 trillion vs US$29.3 trillion), making China the largest economy in the world. However, Chinese real GDP per capita will still lag behind the US significantly, amounting to only one‐quarter of that of the United States. By 2050, Chinese real GDP will reach US$82.6 trillion, compared to US$51.4 trillion for the United States. However, in terms of real GDP per capita, China will still lag significantly behind, at US$53,000, slightly less than the current level of US real GDP per capita, compared to US$134,000 for the United States.     

Economic openness and income growth in developing countries: a regional comparative analysis

This article examines and compares the openness–growth relationship between the high-performing Asian economies (HPAEs) and the rest of the developing world (Sub-Saharan Africa-SSA, South East Asia-SEA and Latin America and Caribbean-LAC). We applied the SYS-GMM estimator to a dynamic standard endogenous growth model which relates economic openness to real per capita income growth. A few key findings emerged from this study. First, economic openness led to increase in real per capita GDP growth in HPAEs and SSA, but not in LAC and SEA. Second, openness to trade accelerated income convergence among countries in SSA, SEA, and HPAEs, however, whereas foreign direct investment inflows accelerated income convergence only in SSA, it rather de-accelerated income convergence in HPAEs. Thirdly, the HPAEs recorded higher positive effect of openness on real per capita GDP growth than any of the other developing regions because they created sufficient stock of human capital that enhanced their absorptive capacity of imported advanced technology. They also created a more stable macroeconomic environment which consolidated the income growth gains from openness. The results of this study highlight the importance of the implementation of policies that are complementary to economic openness in promoting economic growth in the developing world.     

Do microfinance institutions fulfil their promise? Evidence from cross-country data

The concept of microfinance promises poverty reduction and economic growth. We empirically challenge this economic and social promise in an attempt to prove its fulfilment. Our multivariate regressions of economic development variables such as per capita gross national income based on PPP converted to international dollars (GNI per capita PPP), GDP growth, as well as gross capital formation and labour participation rate against specific microfinance institutions’ (MFI) variables show that the success and performance of MFIs significantly influence economic development. Microfinance directly influences economic growth through the value that MFI performance adds to purchasing power. An indirect impact comes from an improvement in capital accumulation and employment rates. These insights are valuable as the interdependencies between microfinance and economic development that this article verifies offer new and progressive insights into purposeful action that can be taken to stimulate economic development and growth. Targeted development programmes as well as socially responsible investments can be applied in developing economies in order to strengthen their growth and alleviate poverty.     

基于STIRPAT模型的西安市碳足迹预测和情景分析

基于STIRPAT模型,构建西安市碳足迹的预测模型。通过岭回归分析后发现,人口规模、人均GDP、单位GDP二氧化碳排放量和第二产业占比每变化1%,西安市碳足迹量将发生0.536%、0.21%、0.44%和0.457%的变化。人口规模、人均GDP是西安市碳足迹的驱动因素,碳足迹强度下降和第二产业占比下降对西安市碳足迹的抑制作用不明显。设置发展情景,测算西安市2020—2030年的碳足迹量。结果表明,保持人口和经济适度增长,降低碳足迹强度和优化产业结构,可以控制西安市碳足迹量过快增长。根据西安市碳足迹趋势的情景分析,提出发展政策建议。     

Terms of trade and economic growth in Japan and Korea: an empirical analysis

This study examines the impact of terms of trade and terms of trade volatility on economic growth in Japan and Korea using time series data. The results of the Johansen (1988) cointegration method show that real gross domestic product (GDP) per capita and terms of trade are jointly determined. Generally, an increase in terms of trade volatility will lead to a decrease in real GDP per capita. An increase in oil price will lead to a decrease in terms of trade. The results of the generalised forecast error variance decompositions show that the important contributors to real GDP per capita are different between Japan and Korea. A favourable and a less volatile terms of trade are important for economic growth.     

An empirical analysis of the relationship between economic development and population growth in China

China has experienced a dramatic demographic transition since the latter half of the twentieth century, and thus, assessing the global economic implications is an important issue. This article uses time-series data on China to estimate the determinants of gross domestic product (GDP) per capita. According to the results of the presented co-integration analysis, population has a significantly negative impact on GDP per capita, while savings rate, total factor productivity and degree of industrialization have significantly positive impacts on GDP per capita. These results suggest that the share of the working-age population relative to the total population does not have a strong influence on GDP per capita. Therefore, the contribution of the working-age population to economic growth might not be as large as previously assumed. It is also possible that an increase in savings, remarkable industrialization and rapid technological progress have all stimulated economic growth in China greatly.     

Foreign Direct Investment Inflows and Economic Growth: The Case of Korea

The current study examines the relationship between FDI inflows and economic growth of Korea and tests the Bhagwati hypothesis which says that FDI inflow is more beneficial to economic growth in an open trade regime in a multivariate framework. Unlike previous works on the concerned hypothesis, a small‐sample cointegration test is applied to the time‐series data. There is no evidence of cointegration among the variables. The Granger causality test results show that, although FDI inflows do not cause per capita real GDP, the latter is revealed to cause the former when the economic crisis dummy variable is included. There is a unidirectional short‐run causality from domestic investment to per capita real GDP growth rate. The case of Korea does not support the Bhagwati hypothesis.     

中国未来不同生育水平下的经济增长后果比较研究

对中国未来90年不同生育水平下的经济增长后果进行了人口-经济动态模拟。在生育水平过低导致劳动力减少过快、人口老龄化过重、劳动负担加重的情况下,将使经济增长大大放缓;而较高的生育水平下,虽然经济增长速度略快,但是人均GDP增长速度慢于中方案生育水平下的经济增长,并且人均GDP水平也具有较大差异。完善当前生育政策,使生育水平稳定在1.9-2.0之间,如此人口在本世纪缓慢地减少也将有利于我国的经济增长和人均生活水平的提高。同时,在低生育水平下,依靠劳动增加和资本积累的粗放型经济增长将不复存在,经济发展方式转变是必然选择,技术创新、技术进步将是未来经济增长首要源泉。     

Technological innovations and economic prosperity: A time series analysis

Using a univariate decomposition of per capita real GDP into its permanent trend and irregular components, the objective of this paper is to measure, rank, and compare the relative importance of the major technological innovations of the past two centuries as measured by their contribution to the growth rate of real per capita GDP. The paper uses the growth model and Beveridge and Nelson’s (1981) univariate decomposition method to measure and to compare the economic impact of random technological shocks, as measured by the average increase in real per capita GDP during sub-periods of major technological advancements.     

Structural Change,Urban Congestion,and the End of Growth

This paper develops a two‐sector R&D‐based growth model with congestion effects from increasing urban population density. We show that endogenous technological progress causes structural change if there are positive productivity spillovers from the modern to the traditional sector and Engel's law holds. In turn, urban congestion effects cause a productivity slowdown in the modern sector. Eventually, economic growth may cease in the long‐run. We also show that land dilution by a larger workforce may give rise to negative scale effects on (GDP) per capita.     

Factors of production,productivity, institutions,and development: Evidence from Brazil

The economic growth and development literature emphasizes that investment in technology and physical and human capital is essential for achieving higher levels of development. Political and economic institutions are also relevant in this process. With a sample of 5,503 Brazilian municipalities, this study carries out a development accounting exercise and measures the effects of institutional quality on per capita gross domestic product (GDP), physical capital intensity, human capital stock, and productivity. The empirical results indicate that institutional quality affects GDP per capita mainly through human capital accumulation and total factor productivity.     

The driving forces of the level and the growth rate of real per capita income in Indonesia

We investigate the driving forces behind the level and the growth rate in real per capita Gross Domestic Product (GDP) in Indonesia. The ultimate reasons and the proximate causes underlying Indonesia's economic growth since the mid-1960s are still unclear. In the literature there have been at least three ways of investigating the driving forces of economic growth in Indonesia, namely: growth accounting system, regression and causality. The difference and improvement in this article is that we employed a two-step bounds testing approach to cointegration, which has not been done before; it uses the endogenous growth model to consider 12 policy variables and two external factors that potentially affect per capita income, this number is more than that has been done before. The empirical results that we obtained using this two-step bounds testing approach help us draw policy implications that if or when implemented would be expected to increase the growth of real per capita income, as well as the welfare of the people of Indonesia. Economic growth in Indonesia is largely driven by government policy, so the ability to increase Indonesia's economic growth rate, in the long run, will largely depend on the implementation of appropriate government policies.     

中国城市经济发展差异性与阶段研究

用城市人均GDP标准差、城市人均GDP变异系数、城市人均GDP的基尼系数和泰尔指数来研究我国23座典型城市经济发展的绝对差异、相对差异和总体差异;用人均GDP与GDP增长率指标的点矩阵图来研究我国23座典型城市经济发展的变化,并结合钱纳里的人均经济总量与经济发展阶段关系理论对我国23座典型城市的经济发展阶段进行划分,并进行了实证分析。得出如下结论:中国23座典型城市经济发展的差异性逐渐加大;中国城市经济发展的大体趋势为"人均GDP、GDP增长率双低"→"人均GDP低、GDP增长率高"→"人均GDP、GDP增长率双高"→"人均GDP高、GDP增长率低";代表城市北京的经济发展经历了初级产品生产阶段、工业化阶段、发达经济阶段的初级阶段;中国城市经济的发展潜力巨大。     

Catching Up and Convergence: Long-run Growth in East Asia

The paper attempts to combine the traditional learning model with the recent theory of economic growth using Maddison's long‐run real GDP per capita data of the three fastest growing countries in East Asia: Korea, Taiwan, and Japan. The authors first explain games of catching‐up among nations, and then explain the learning coefficients of Taiwan and Korea with Japan and the United States through periods before and after World War II. The model of leaning leads to the logistic model of economic growth of convergence between two countries. Using time‐series data, the coefficients of a logistic model are estimated to confirm that the real GDP per capita of Taiwan and Korea are converging to that of Japan and the United States, respectively. Similarly, Japan's GDP per capita converges to that of the United States. The time required for finite convergence for these countries is also estimated.     

Decreasing fertility,economic growth and the intergenerational wage gap

Persistent low fertility rates lead to lower population growth rates and eventually also to decreasing population sizes in most industrialized countries. There are fears that this demographic development is associated with declines in per capita GDP and possibly also increasing inequality of the wage distribution. We investigate whether this is true in the context of neoclassical growth models, augmented with endogenous fertility decisions and endogenous educational decisions. Furthermore we allow for imperfect substitutability across workers of different age in the production process and learning by doing effects as well as human capital depreciation. In particular, we assess the intergenerational wage redistribution effects which follow after a demographic change to persistent low fertility rates.     

Population and Economic Growth Under Different Growth Engines

Using a growth model with physical capital accumulation, human capital investment and horizontal R&D activity, this paper proposes an alternative channel through which an increase in the population growth rate may yield a non‐uniform (i.e., a positive, negative, or neutral) impact on the long‐run growth rate of per‐capita GDP, as available empirical evidence seems mostly to suggest. The proposed mechanism relies on the nature of the process of economic growth (whether it is fully or semi‐endogenous), and the peculiar engine(s) driving economic growth (human capital investment, R&D activity, or both). The model also explains why in the long term the association between population growth and productivity growth may ultimately be negative when R&D is an engine of economic growth.     

The Many Dimensions of Gender Equality and Their Impact on Economic Growth

This study explores the multidimensional nature of gender equality and its influence on economic growth across 64 countries from 2000–2011 using an endogenous growth model. After controlling for standard growth correlates, the empirical results show that countries that protect the economic rights of women experience higher real GDP per capita growth rates. Furthermore, after controlling for a country’s religious affiliation, the importance of religion to the lives of people living in a country had a negative influence on economic growth. Intensely held religious beliefs are strongly correlated with gender inequitable views. These attitudes might serve as an important channel through which these gender biases are institutionalized in economic practices and act to slow economic growth.     

Stock market development and real economic activity in Peru

We explore the causal effect of stock market development on real economic activity in Peru by setting up a simple growth model that underpins long-run identifying restrictions for vector autoregressive models. This allows us to identify stock market shocks and to uncover the dynamic response of real output per capita. Using annual time series data for the period 1965–2013, we find that stock market shocks have had a short-run causal effect on real GDP per capita only after 1991, a result that is consistent with standard Granger causality tests; however, the contribution of stock market shocks to output growth dynamics has been small. Thus, policy actions aimed at further developing the Peruvian stock market may have a positive impact on the dynamics of economic growth.