我国丘陵山区农机化水平影响因素及区划研究*——基于全国丘陵山区238个县（市）的调研数据

[目的]通过对全国丘陵山区县(市)与农机化有关的社会、经济和自然条件等因素进行调研所获取的238个有效样本进行分析,研究影响我国丘陵山区农机化水平的因素及其贡献,进而对我国丘陵山区进行区域划分。[方法]运用线性回归法对影响丘陵山区农机化水平的影响因素进行分析,进而对农机化水平产生显著影响的因素进行聚类分析。[结果]国内生产总值、农业劳动力数量对农机化水平产生极显著影响,耕地禀赋条件、务工工资、耕地规模、农机合作社数量和农机推广人员数量对农机化水平产生显著影响。对我国丘陵山区农机化水平呈正相关关系的因素有国内生产总值、务工工资、耕地规模、农机合作社数量,呈负相关的因素有耕地禀赋条件、农业劳动力数量、农机推广人员数量和农机化水平。[结论]我国可丘陵山区划分为中西、东南部地区,北部地区和东部沿海地区3大类地区。     

A Framework for the Simultaneous Measurement of Spatial Variation and Temporal Movement in Prices in a Heterogeneous Country: The Dynamic Household Regional Product Dummy Model

This paper contributes to the growing literature on spatial prices in large heterogeneous countries. While the literatures on spatial variation and temporal movement in prices have grown in parallel, this study marks a departure by providing a unified treatment and proposing a comprehensive framework that allows both approaches. The proposed model is based on twin extensions of the household version of the “country product dummy model” by allowing for a dynamic stochastic specification and interdependence of spatial prices of geographically adjacent regions. Tests of temporal stability and regional independence of the estimated spatial prices are proposed and applied in this paper. The paper shows that the introduction of an autoregressive error process of order one, AR(1), improves the efficiency of the estimates of parameters, urban‐rural and temporal price indices under certain conditions. The Indian application points to a rich potential for using the proposed framework in cross country comparisons such as the International Comparison Program (ICP) exercises.     

杭州湾都市圈利用FDI的地域差异分析及其对策研究

近年来外商直接投资(FDI)已经成为带动杭州湾都市圈出口增长,推动区域经济发展的重要因素。但由于各个地方利用外资的市场基础和投资环境的差异,杭州湾各个城市利用FDI很不平衡。本文通过运用因子分析的方法,对杭州湾都市圈利用FDI的水平进行综合评价,并提出了相对的对策建议,对促进杭州湾经济的平衡发展具有一定的现实意义。     

金融集聚能缓解中小企业融资约束吗？——基于非线性和区域异质性的视角

以2009—2017年上市中小企业面板数据为样本，应用现金现金流敏感性模型分析了金融集聚对中小企业融资约束的影响。研究发现：整体上金融集聚可以一定程度缓解中小企业融资约束，但存在地区性差异，且门槛效应明显。金融集聚对低金融集聚水平地区的中小企业融资困境有明显改善，但其影响随着金融集聚水平的增加而减少。当金融集聚水平超过高门槛值时，这一作用非常微弱，总体上呈现非线性特征。这说明当金融资源高度集中时可能产生挤出效应。     

江苏省农业绿色发展水平区域差异及趋势分析

［目的］农业绿色发展是保证我国农业可持续发展的有效方式，探究江苏省农业绿色发展水平和地区差异，为我国其他地区农业绿色发展研究提供参考。［方法］文章采用熵权法和层次分析法确定农业绿色发展水平评价指标权重，运用锡尔指数对区域内和区域间农业绿色发展水平差异进行测度。［结果］2012—2017年江苏省农业绿色发展水平有明显提高，绿色供给的得分最高，环境友好和生态制度的得分最低。各市农业绿色发展水平综合指数分析结果表明，苏州农业绿色发展水平最高，南京、无锡次之，连云港、淮安和宿迁农业绿色发展水平较低。锡尔指数分析结果表明江苏省区域内农业绿色发展水平差异都在逐渐缩小。［结论］农产品绿色供给是江苏省农业绿色发展的最大优势，资源节约利用和环境友好发展方面较低，由于经济发展对资源利用强度在持续增加，资源节约利用仍是绿色发展的短板，因此江苏省资源效益利用仍有上升的空间，且区域内发达地区农业绿色发展的带动效应明显。     

Aggregate and distributional impacts of China’s household responsibility system

It is 40 years since China started to abandon collective farming, with initial rural reforms in 1978 that culminated in adoption of the household responsibility system (HRS). Existing studies of impacts of these reforms do not consider nonrandom spread of the HRS, spillovers from early adopters, or distributional effects. In this paper, the synthetic control method and spatial autoregressive panel models with autoregressive errors are used to estimate impacts of the HRS that account for these features. The HRS had a significant positive effect on grain output and food supply in China, while also helping to reduce regional inequality.     

A novel model to manage air cargo disruptions caused by global catastrophes such as Covid-19

The outbreak of the COVID-19 pandemic has drastically disrupted the air cargo industry. This disruption has taken many directions, one of which is the demand imbalance which occurs due to the sudden change in the cargo capacity, as well as demand. Therefore, the random change leads to excessive demand in some routes (hot-selling routes), while some other routes suffer from a big shortage of demand (underutilized routes). Routes are substitutable when there are several adjacent airports in the Origin & Destination (O&D) market. In this market, demand imbalance between substitutable routes occurs because of the above reasons. To tackle the demand imbalance problem, a novel model is introduced to estimate the quantity combinations which maintains the balance between underutilized and hot-selling routes. This model is a variant of the classic Cournot model which captures different quantity scenarios in the form of the best response for each route compared to the other. We then cultivate the model by integrating the Puppet Cournot game with the quantity discount policy. The quantity discount policy is an incentive which motivates the freight forwarders to increase their orders in the underutilized routes. After conducting numerical experiments, the results reveal that the profit can increase up to 25% by using the quantity discount. However, the quantity discount model is only applicable when the profit increase in the hot-selling route is greater than the profit decrease in the underutilized route.     

融资约束、区域金融发展与成长期企业并购——理论分析与经验证据

成长期企业并购对金融支持的依赖性高。通过建立信息经济学模型，可较好刻画成长期企业在并购过程中因为信息不对称和抵押物不足而面临的融资约束，同时在模型中引入区域金融发展因素，可以较好缓解融资约束，促进成长期企业并购。在理论分析基础上，以2012-2018年的上市公司及其并购数据为对象开展实证分析，实证结果同样显示成长期上市公司并购过程中存在明显的融资约束现象；同时区域金融发展能够缓解融资约束，进而提升成长期上市公司并购概率。理论分析和经验证据相互印证，揭示了区域金融发展通过缓解融资约束以支持成长期企业并购的机理和路径。     

领导干部自然资源资产离任审计与企业绿色并购——来自中国重污染型上市公司的经验证据

基于2011~2017年我国A股重污染型上市公司经验数据，实证检验了领导干部自然资源资产离任审计对企业绿色并购行为的影响，研究发现：领导干部自然资源资产离任审计可显著促进辖区内企业实施绿色并购；而当地区市场竞争程度越高时，越会抑制企业在领导干部自然资源资产离任审计试点实施背景下的绿色并购扩张行为；进一步地，企业绿色并购会显著提高企业价值，且这一影响对并购后当年的企业价值影响最为显著；基于异质性分析方面，领导干部自然资源资产离任审计会约束不同产权性质企业的环境治理行为，促进其采取绿色并购，实施绿色发展；同时领导干部自然资源资产离任审计会更有利于东部地区企业实施绿色并购，而对中西部地区的企业影响不明显。     

A Stochastic Model with Penalized Coefficients for Spatial Price Comparisons: An Application to Regional Price Indexes in Italy

This paper focuses on a new strand of research that uses stochastic approach for making spatial price comparisons. We propose a novel method to account for the presence of spatial dependencies in consumer prices and consequently in price indexes by imposing penalization conditions on the estimation of traditional CPD models leading to the spatially-penalized country-product-dummy (SP-CPD) model. The paper proposes an appropriate estimation strategy, which enables us to simultaneously estimate all the parameters in the model, including the smoothing parameter of the penalization term instead of determining it externally. In order to estimate spatial price indexes for areas lacking in price data, we suggest applying the kriging methodology to the price indexes obtained from the SP-CPD model. This new approach is applied to official Italian CPI data for constructing regional spatial price indexes for 2014. The results show that price levels are higher in the Northern-Central regions than in the South.