绿色信贷数据集:2014-2020年中国银行业绿色信贷分析

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资源摘要信息: "绿色信贷数据集.zip" 绿色信贷是现代金融领域的一个重要分支,它主要指的是银行及其他金融机构针对节能减排、环境保护等绿色项目提供的贷款、信贷支持和金融服务。绿色信贷数据集是汇集了与绿色信贷相关的一系列数据信息的集合,这些数据为分析绿色信贷的发展趋势、评估其对环境的效益以及制定相关政策提供了重要依据。 从文件名称列表中可以看出,该数据集包含了三个主要的文件:数据说明文档、绿色信贷相关数据的Excel表格和一个关于2014-2020年国有大型商业银行和全国股份制商业银行绿色信贷数据的详细Excel表格。以下是关于这些文件的具体知识点。 1. 数据说明(绿色信贷数据合集).docx 文档可能是整个数据集的使用指南,它通常会包含以下几个方面的详细说明: - 数据集的背景信息:说明数据集的来源、构建目的、数据收集的时间范围以及数据集覆盖的范围和领域。 - 数据集结构介绍:描述数据集中的各个字段含义、数据类型、数据规模和数据格式,例如日期范围、涉及的银行类型(如国有大型商业银行、股份制商业银行等)、信贷金额、贷款项目类别等。 - 数据质量与准确性:提供数据的质量保证措施,确保数据的准确性和可靠性,以及可能存在的数据不一致性或缺失值的处理方式。 - 使用方法:阐述如何正确地使用数据集,包括对数据进行处理和分析的建议方法、常用分析工具或软件的介绍以及数据的可视化展示方法。 - 版权声明:明确数据集的版权归属、使用范围及授权条件,保护数据提供者和用户的合法权益。 2. 绿色信贷相关数据.xlsx 这个文件是数据集的核心部分,可能包含了以下信息: - 各商业银行绿色信贷业务的年度或季度数据,可能包括信贷额度、贷款余额、新发放贷款笔数等指标。 - 银行绿色信贷业务的分类数据,比如按照行业领域、项目类型、贷款期限等进行划分。 - 银行绿色信贷的风险管理数据,可能涉及不良贷款率、风险拨备等财务指标。 - 绿色信贷政策的实施情况,包括政策动态、标准和指南等。 3. 2014-2020年国有大型商业银行和全国股份制商业银行绿色信贷数据 - 数据皮皮侠.xlsx 这个文件可能是对2014至2020年国有大型商业银行和全国股份制商业银行绿色信贷业务的详细数据统计: - 数据涉及的具体银行名称,以便用户可以针对性地进行分析。 - 时间序列数据,可用于分析绿色信贷业务随时间的变化趋势。 - 不同银行间的对比数据,包括市场份额、增长速度等,有助于理解市场竞争格局。 - 银行绿色信贷业务的地区分布数据,可以分析地区间的差异及原因。 - 信贷业务对环境效益的影响评估,可能包含对环保项目的支持数量、节能减排效果等的量化指标。 以上数据集为绿色金融研究、政策制定、市场分析提供了坚实的数据基础,是推进绿色信贷发展、提升金融支持环境保护能力的重要工具。通过这些数据,研究人员和业界人士可以对绿色信贷的实施效果进行评估,同时可以为未来绿色信贷政策的制定提供科学依据。
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lending club 贷款数据 2018年第二季度的贷款数据 "id","member_id","loan_amnt","funded_amnt","funded_amnt_inv","term","int_rate","installment","grade","sub_grade","emp_title","emp_length","home_ownership","annual_inc","verification_status","issue_d","loan_status","pymnt_plan","url","desc","purpose","title","zip_code","addr_state","dti","delinq_2yrs","earliest_cr_line","inq_last_6mths","mths_since_last_delinq","mths_since_last_record","open_acc","pub_rec","revol_bal","revol_util","total_acc","initial_list_status","out_prncp","out_prncp_inv","total_pymnt","total_pymnt_inv","total_rec_prncp","total_rec_int","total_rec_late_fee","recoveries","collection_recovery_fee","last_pymnt_d","last_pymnt_amnt","next_pymnt_d","last_credit_pull_d","collections_12_mths_ex_med","mths_since_last_major_derog","policy_code","application_type","annual_inc_joint","dti_joint","verification_status_joint","acc_now_delinq","tot_coll_amt","tot_cur_bal","open_acc_6m","open_act_il","open_il_12m","open_il_24m","mths_since_rcnt_il","total_bal_il","il_util","open_rv_12m","open_rv_24m","max_bal_bc","all_util","total_rev_hi_lim","inq_fi","total_cu_tl","inq_last_12m","acc_open_past_24mths","avg_cur_bal","bc_open_to_buy","bc_util","chargeoff_within_12_mths","delinq_amnt","mo_sin_old_il_acct","mo_sin_old_rev_tl_op","mo_sin_rcnt_rev_tl_op","mo_sin_rcnt_tl","mort_acc","mths_since_recent_bc","mths_since_recent_bc_dlq","mths_since_recent_inq","mths_since_recent_revol_delinq","num_accts_ever_120_pd","num_actv_bc_tl","num_actv_rev_tl","num_bc_sats","num_bc_tl","num_il_tl","num_op_rev_tl","num_rev_accts","num_rev_tl_bal_gt_0","num_sats","num_tl_120dpd_2m","num_tl_30dpd","num_tl_90g_dpd_24m","num_tl_op_past_12m","pct_tl_nvr_dlq","percent_bc_gt_75","pub_rec_bankruptcies","tax_liens","tot_hi_cred_lim","total_bal_ex_mort","total_bc_limit","total_il_high_credit_limit","revol_bal_joint","sec_app_earliest_cr_line","sec_app_inq_last_6mths","sec_app_mort_acc","sec_app_open_acc","sec_app_revol_util","sec_app_open_act_il","sec_app_num_rev