Pains and gains of environmental management system certification for the sustainable development of manufacturing companies: Heterogeneous effects of industry peer learning

Environmental sustainability is a growing global concern. Environmental management systems (EMS) could be an effective strategic tool to help firms deal with their sustainable development. However, whether EMS certification pays off financially and how it takes effect can be debated. Thus far, these questions remain largely under‐researched. In particular, the effects of EMS certification on financial performance are inconclusive, and the reasons explaining the effects are underdeveloped. This study aims to enrich the current research by exploring the mediating and moderating roles from the perspective of cost‐efficiency trade‐offs to reveal how EMS certification affects financial performance. Applying a PROCESS procedure analysis and causal mediation analysis to a sample of 1,751 Chinese listed manufacturing firms from 2008 to 2016, this study shows that the effect of EMS certification on firms' financial performance is insignificant because their operating costs burden increases while their marketing efficiency and managerial efficiency improve. For the first time, this study demonstrates the moderating role of industry peer learning, as the mediating effects decrease with the growth of industry peer learning.     

沪深300股指期权在股票市场定价机制中的作用研究

沪深300股指期权对股票市场定价机制具有重要影响。以往研究认为,期权存在价格发现、资源配置和风险管理三大作用。本文从波动率套利的角度出发,提出股指期权的另一重要作用是引导股票市场形成均衡的波动率定价机制,保证股票市场平稳运行,避免出现重大的尾部风险事件。     

熵值法下我国数字经济发展水平动态评价研究——基于省际面板数据

以数字经济的内涵和本质为基础,建立我国30个省市区的数字经济发展水平评价体系,采用熵值法测算2013~2017年我国各省份数字经济发展状况。研究发现,区域创新能力不足是制约我国数字经济发展的效率短板;各地区济数字经济发展水平整体上呈上升式发展,但仍存在较显著的区域差异:东部地区的数字经济发展水平明显高于中西部地区,而中西部地区数字经济增长速度高于东部地区、与东部地区的相对差距略微缩小、绝对差距依然扩大。根据研究结果,我国应从推动数字经济技术创新、加强区域经济合作和因地制宜发展区域经济等方面推动区域数字经济发展。     

新疆农村产业融合发展研究

现运用面板回归模型结合产值贡献度的方法评价了新疆农村产业融合度,结果表明,新疆农业与农产品加工业融合度、农业与农业服务业融合度均较低。通过地理信息可视化表达发现,新疆农村产业融合度且存在明显的区域差异。最后,结合新疆农村产业融合发展所面临的困境,提出了需要完善农业教育服务体系;培育区域特色品牌;加强对各种利益联结方式的监督引导等建议。     

互联网金融的信用风险评估与预警研究

随着互联网金融的蓬勃发展，用户对消费金融的需求也越来越丰富多样。满足用户的多样化需求与建立健全风险监管体系成为互联网金融发展的重中之重。如何实现数据驱动服务升级、技术辅助市场监管成为研究的热点问题。本文通过数据处理与特征工程实现用户认证信息、金融信息、行为信息的融合，利用深度森林算法建立模型进行信用风险评估。结果表明，该方法能有效挖掘数据潜在价值，提高信用风险评估与预警效果。最后，本文针对互联网金融的信用风险预警与市场监管提出了建议。     

我国耕地保护政策研究：基于背景、效果与未来趋势

［目的］我国耕地保护政策对保护耕地、保障粮食安全具有重要意义。研究我国耕地保护政策出台的背景及前后关系、相同政策在不同区域内的执行效果差异，能够为更针对性地提出政策建议提供参考。［方法］主要运用了资料分析和定性描述的方法，首先按照耕地保护政策内涵划分为5个阶段，其次从时间、空间两个尺度，判断了耕地保护政策的数量、质量保护效果差异，最后提出了未来政策出台的方向和趋势。［结果］时间尺度上：1986年、1997年、2004年出台的政策对耕地数量保护的成效明显； 2014—2016年耕地质量保护效果略优于2009—2014年； 目前数量保护成效较好，但质量保护远未达到要求。空间尺度上：耕地数量保护效果西部地区最好，东北地区次之，中部地区优于东部地区； 耕地质量保护效果中部地区最佳，东北地区次之，东部地区优于西部地区。［结论］未来政策可向规范补充耕地全国统筹、完善耕地质量保护法律体系、调动农户保护耕地积极性等方向发展。     

新农科建设背景下江西高校涉农专业人才培养的思考

新农科建设是新农业新乡村新农民新生态建设的必然要求,顺应了新时代社会的发展规律,致力于培养爱农业、懂技术、善经营的高水平实用技能型卓越农林新人才。"新农科"建设宣言的提出对高等院校涉农专业人才的培养提出了更高的期许和要求。目前江西高校存在涉农专业人才数量紧缺且离农化趋势严重,涉农专业精品课程少、设置不够合理,涉农专业人才培养结构与行业需求脱轨,科研成果转化率不高的问题。本文从新农科建设的角度出发,针对江西高校在涉农专业人才培养过程中出现的问题提出了相应的对策。     

社会心理服务驱动下信访“分类治理”的理路——以河南省西平县为例

学界对于信访分类治理的研究大多基于因“人”分类或因“事”分类展开,形成了信访分类治理研究的基本范式。然而,社会心理服务嵌入信访治理体系,为信访分类治理提供了新的视野:因“心”分类,即按照信访人“心理诉求——利益诉求”的两分原则,将信访人分为利益型、心理型、耦合型和无意识型四种。本文以西平县信访治理实践为个案,提炼出由“心”而治的信访分类治理模型,并对该模型的治理理路进行了分析。研究发现:地方政府对信访频次、情绪和事件的三维叠加形成了信访分类治理的参照维度,而地方政府对治理技术的灵活性运用则构成了信访分类治理的动态实践。本文为信访分类治理过程中信访人的心理诉求与利益诉求间的关系提供经验事实,并为社会心理服务驱动下的信访分类治理理路提供分析框架。然而,受限于研究区域和案例数量,本文提炼出来的由“心”而治的信访分类治理模式还有待进一步验证和完善。     

Accounting-Based Compensation and Debt Contracts*

We examine how accounting-based compensation plans influence a firm's contracts with its creditors. After granting long-term accounting-based compensation plans (LTAPs) to CEOs, firms pay lower spreads and have fewer restrictive covenants in new bank loans. Mechanisms leading to lower borrowing cost include improvements in debt repayment ability, reduced shareholder-debtholder conflicts, and reduced risk-taking incentives. Creditors view LTAPs as a substitute for monitoring, adjust covenant design based on LTAP features, and value plans with concave performance-payout functions and reasonable performance targets. A firm's credit rating improves and CDS spread declines after LTAP grants, suggesting that LTAPs help reduce firms' credit risk.     

Dynamics of firm's network community associations and firm's innovation performance

ABSTRACT

R&D network structures have crucial impacts on firm's innovation performance. However, most previous studies have been based on the whole or ego network perspective, few studies have investigated the influence of community structure that a firm is engaged in on its innovation performance, and it is still unclear how a firm's relation to network community affect its innovation performance. This research aims to address this gap by focusing on the dynamics of firm's network community associations, empirically investigate the relationship between dynamics of firm's network community associations and its innovation performance. Based on the unbalanced panel data of smartphone R&D network during year 2004–2017, the results demonstrate that change in community member associations and movement across communities both have inverted-U-shaped effects on firm's innovation performance. Moreover, innovation openness depth has moderating effects on the relationships between dynamics of firm's network community associations and its innovation performance.