农地发展权流出、资本回流与区域经济增长*——基于重庆市的实证研究

[目的]以重庆市为研究区域,以农地发展权资本化的地票指标为研究对象,从理论和实证层面探讨农地发展权交易与资本要素的城乡互动关系及其对区域经济增长的影响,为进一步优化农地发展权交易政策、促进区域均衡发展提供相关建议。[方法]基于2008—2017年城乡统筹改革试验区重庆市地票指标交易的面板数据,运用要素禀赋理论和差分GMM模型从理论和实证层面分析农地发展权流出区土地与资本要素的互动关系及其对区域经济增长的影响。[结果]基于区域间资源禀赋的差异及要素相对价格的分化,在市场机制作用下,农地发展权指标将以配置效率优化为导向在不同区域间自由流动。[结论]短期内,由于资本约束,流出农地发展权的区域其经济增长会受到抑制;而当农地发展权指标资本化后,流出区获得了较为稀缺的货币资本,农地发展权流出将显著促进地方经济增长;同时,在研究时期内,由于农地发展权市场交易机制的构建,重庆市地方经济增长存在显著的收敛效应,区域间经济发展差距将会逐步缩小。     

The finance-growth nexus: The role of banks

We contribute to the finance-growth nexus literature by showing that credit origin, bank ownership, type of credit, and bank type matter in economic growth. We use a unique dataset covering 5555 cities in Brazil, with granular information on credit characteristics. We find that non-earmarked credit to the corporate sector is associated with municipal economic growth more strongly than earmarked credit, despite the increase in the relevance of the latter after the global financial crisis. We also find that the type of credit—whether the loans are general purpose or for a specific purpose—is associated with economic growth in different ways. Overall, credit provided to the corporate sector by domestic private banks is correlated with higher economic growth rates. In contrast, the relationship between credit from state-owned banks and economic growth becomes statistically significant only after the crisis. Although we follow the finance-growth literature in our empirical exercises using internal instruments in generalized method of moments (GMM) estimations, we also conduct robustness tests using two additional external instruments: the number of complaints filed against each bank and local credit accessibility. Our findings with external instruments are the same with respect to the use of traditional internal instruments in GMM estimations.     

What determines international tourist arrivals in India?

Using data for 18 major tourist originating countries to India from 2001 to 2015, this study examines the major determinants of international tourist arrivals in India. The results indicate that past experiences of the tourists, per capita income in the tourist originating country, relative costs of living between India and the country of origin, and the level of infrastructure development in India are key determinants of international tourist arrivals in India. Furthermore, both transportation and communication infrastructure are important in attracting tourists to India. In particular, evidence suggests that availability of road and air network and telephone connections has favourable impacts on international tourist arrivals in India. These results are robust to the inclusion of additional variables. These results have important policy implications.     

The impacts of governance and institutions on inbound tourism demand: evidence from a dynamic panel data study

This study explores the impact of governance and institutions on inbound tourism demand in Malaysia using a dynamic panel data approach for 45 tourism source countries over the period 2005–2015. The results show that institutions play a very important role in explaining the behaviour of inbound tourism demand. To obtain a better picture, we investigate the response of international tourists to disaggregated institutional quality. We find that international tourists are more concerned about political stability, governmental effectiveness, regulations, laws, and corruption than voice and accountability. Therefore, policymakers should focus on ways to improve institutional quality to significantly increase international tourist arrivals.     

The dynamic impact of intellectual capital on firm value: evidence from China

We examine the dynamic relationship between intellectual capital (measured by human capital and organizational capital) and firm value of Chinese listed firms. We do causality identification using system GMM and IV estimation, and find no significant relation between human capital and firm value, but organizational capital positively affects firm value with a lag. Our findings are robust to firms with different property rights, of different sizes, or in different industries, with the only exception of capital-intensive firms, in which human capital has a significant influence on firm value. The results imply that the improvement of organizational system plays a more important role in raising the value of a firm in a typical developing country, like China.     

Multiple job holding as a strategy for skills development

This study investigated the training effect of multiple job holding on the activity of main jobs. First, we developed a dual-labor supply model by adding the training effect of working second jobs. The theory showed that workers with unconstrained hours hold second jobs when they develop skills via the experience of second jobs. To verify the hypotheses from the theoretical model, the causal relationship between holding a second job and the wage rate of a main job was estimated using the Keio Household Panel Survey. Difference generalized method of moments was adopted to remove time-invariant individual effects and endogenous bias. Moreover, the estimations showed heterogeneity of main jobs in terms of length of working hours, tasks, and job turnover. Full-time workers engaged in intelligent tasks and those who did not change their jobs secured training effects from second jobs but only when the comparison group was the workers allowed to hold second jobs by their employers. It was presumed that employers paid to restrict employees’ activities. On the contrary, part-time workers engaged in physical tasks were exhausted by second jobs, which decreased the wage rate of their main jobs.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

Do currency undervaluations affect the impact of inflation on growth?

In this paper, we investigate how the level of currency undervaluations affects the effect of inflation on growth in a sample of 62 countries over the 1980–2015 period. While previous studies find a positive effect of an undervalued currency, we show that higher currency undervaluations reinforce the contractionary effect of inflation on growth. As an undervalued currency is associated with supplementary inflation pressures arising from a cost-push inflation phenomenon and economy overheating, growth is thus penalized. This result is shown to be robust to the exclusion of currency crises episodes from our sample, and dependent of the development level of countries. Specifically, it holds in the case of emerging countries, but not for developing economies. Consequently, policies based on undervaluations should not be encouraged for emerging economies as they tend to reinforce the contractionary effect of inflation on growth.     

“城居保”对中国农村家庭消费支出异质性实证研究

[目的]全面分析城乡居民基本养老保险制度对农村家庭各项消费支出现状的影响,就进一步完善该项政策和稳定农村消费市场提供重要的理论参考。[方法]文章以消费和储蓄生命周期理论为分析框架,通过选取合理的样本面板数据,运用系统GMM回归分析方法探究了城乡居民基本养老保险制度对农村家庭消费支出水平的影响。[结果]财产性收入是影响农民参与城乡居民基本养老保险制度的主要因素以及投保档次的制约因素,作以存量财富为基础的财产性收入要比流量形式存在的财富具有更强抵御风险的能力,即财产性收入在很大程度上可以增加农村家庭对养老保险的依赖程度。另外,城乡居民基本养老保险制度对农村家庭消费能力表现出异质性影响。其中,城乡居民基本养老保险制度对农村家庭生活消费支出、食品性等日常性支出、文体消费支出水平明显要高于对医疗消费支出水平。[结论]国家要加大宣传城乡居民基本养老保险制度的积极和辐射作用,让广大农村家庭能够真正了解这项政策的意图。同时,要逐步破解城乡二元结构等制度性障碍,让更多农村家庭能够享受到与城镇居民相同的养老待遇。     

化肥价格变化对粮食价格的影响研究--基于省际动态面板数据模型的系统GMM检验

基于我国粮食价格与化肥价格变动趋势的分析,运用2006年~2017年省际动态面板数据模型和系统GMM方法,实证检验了化肥价格变动对粮食价格的影响。结果表明:化肥价格变动对粮食价格存在显著的正向影响,在考虑化肥价格影响下,农业生产服务、种子等农资价格对粮食价格也存在显著的正向影响,机械化农具和农药价格对粮食价格不显著,"价补分离"政策对粮食价格存在显著负向影响。因此,在化肥减量行动背景下,适度调控化肥价格,避免化肥价格上升挤占粮农利润,大力发展农业生产性服务业和种子业,继续实行"价补分离"政策,提高补贴精准性,减少农民投入成本。