中国退耕还林工程对农户收入和消费不平等的影响测度

doi:10.12302/j.issn.1000-2006.202002035

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

南京林业大学学报（自然科学版） ›› 2021, Vol. 45 ›› Issue (1): 227-234.doi: 10.12302/j.issn.1000-2006.202002035

中国退耕还林工程对农户收入和消费不平等的影响测度

刘浩¹^,²(), 刘璨², 刘俊昌¹^,^*()

1.北京林业大学经济管理学院,北京 100083
2.国家林业和草原局经济发展研究中心,北京 100714

收稿日期:2020-02-24 接受日期:2020-10-11 出版日期:2021-01-30 发布日期:2021-02-01
通讯作者: 刘俊昌
基金资助:
国家自科基金面上项目(71873043);国家自科基金面上项目(71673066)

Effects of the sloping land conversion program impact on the rural households’ income and consumption inequalities in China

LIU Hao¹^,²(), LIU Can², LIU Junchang¹^,^*()

1. School of Economics and Management, Beijing Forestry University, Beijing 100083, China
2. China National Forestry and Grassland Economics and Development Research Center, Beijing 100714, China

Received:2020-02-24 Accepted:2020-10-11 Online:2021-01-30 Published:2021-02-01
Contact: LIU Junchang

摘要/Abstract

摘要：

【目的】恢复生态系统和改善农户生计是实施退耕还林工程的两大核心目标,作为世界上财政投入最大、涉及农村人口最多的生态恢复工程之一,不同农户可否平等地分享实施退耕还林工程所带来的收益是迫切需要解决的问题。【方法】利用包括6省区、15县市的952个样本农户的1995—2016年的长期大样本平衡面板数据,基于持久收入假说和心理账户理论,采用递归方程模型测度与分解退耕还林工程对样本农户收入和消费不平等的影响。【结果】通过改变样本农户以土地为基础及非农持久收入和暂时收入研究表明,实施退耕还林工程拉大了样本农户的收入和消费不平等程度,对收入不平等的影响高于对消费不平等的影响,两者均呈先升后降的趋势;退耕还林工程对以土地为基础的和非农持久收入影响拉大了样本农户的收入不平等,对以土地为基础的暂时收入的影响有助于实现样本农户的收入平等,退耕还林工程对样本农户收入不平等的影响仅部分传导为对其消费不平等的影响,对以土地为基础的持久收入影响是拉大样本农户消费不平等的主要因素;退耕还林工程缩小了长江流域样本农户的收入不平等,对消费不平等的影响甚微,同时拉大了黄河流域样本农户的收入和消费不平等。【结论】实施退耕还林工程拉大了样本农户的收入与消费不平等,因此,在后续政策设计中,应充分重视这一重要影响,适当调整相关政策,促进农户收入和消费平等。

关键词: 退耕还林工程, 收入不平等, 消费不平等, 持久收入假说

Abstract:

【Objective】 In 1999 the Chinese government launched the Sloping Land Conversion Program (SLCP). Two key objectives of the SLCP are ecosystem and improving rural household livelihoods. The SLCP has the largest government financial input and the most rural households enrolled in the world. The central government provides subsidies to rural households, who convert their sloping land to forestland. Because the eligibility of rural households to participate and their capacity for production following participation varies, it is not known whether different rural households are equally involved in this program. This is an important policy issue to clarify. The existing literature focuses on the impact of the SLCP on the income inequality of rural households. Owing to the lack of further decomposition on the impact of the SLCP and its pathways, existing research cannot answer how the SLCP impacts the income inequality of rural households, and few studies focus on the impact of the SLCP on consumption inequality in rural households. 【Method】 Through eight consecutive surveys, we established a unique panel database of 952 rural households in 15 counties in six provinces covering north, east, south, southwest and northwest China from 1995 to 2016. Using this database and a recursive equations model, this study estimated the impact of the SLCP on the income and consumption of rural households, and measured the contribution of the SLCP to income and consumption inequality in the sample households. The academic contributions of this study are as follows: it is probably the first to estimate the impact of the SLCP on consumption inequality of rural households, which accurately reflects the real livelihood differences between rural households. Based on the framework of the persistent income hypothesis and the full consideration of the impact of psychological accounts on consumption behavior, we also decomposed the impact of the SLCP on rural household income and consumption inequality. We discovered the key impact pathway by which the SLCP affects the income and consumption inequality in rural households. 【Result】 The SLCP increased the land-based permanent income, and off-farm permanent and transitory income of households, but decreased the land-based transitory income. The SLCP increased the income and consumption inequality of rural households by changing their land-based and off-farm permanent income and transitory income. The consumption smoothing mechanism and the law of marginal propensity to consume decreased, making the impact of the SLCP on income inequality higher than that on the consumption inequality. The contribution rate of the SLCP to the income Gini coefficient gradually increased from 0.10% in 1999 to 1.45% in 2003. After 2003, the contribution rate gradually decreased, and the contribution rate in 2016 was 0.98%. The contribution rate of the SLCP to the consumption Gini coefficient gradually increased from 0.06% in 1999 to 1.09% in 2007. After 2007, the contribution rate gradually decreased, and the contribution rate in 2016 was 0.86%. The impact of the SLCP on land-based and off-farm permanent incomes extended the income inequality of rural households, and the impact of the SLCP on land-based transitory income narrowed their income disparity. The contribution rate of the land-based transitory income changed from the SLCP to the income Gini remained around -0.9% since 2007. The impact of the SLCP on income inequality partially transmitted to the inequality in consumption, and the impact of the SLCP on land-based permanent income is the key source of growth in consumption inequality. Owing to the low marginal propensity to consume, the impact of transitory income changed from the SLCP on income inequality has little effect on consumption inequality. Because of the different policies of the SLCP and different social and economic development levels, the SLCP in the Yangtze River Basin narrowed the income inequality of rural households by 0.85%-0.95% since 2007 and has had almost no impact on the consumption inequality in the sample rural households. In the Yellow River Basin, the SLCP widened the income and consumption inequality in the sample rural households. 【Conclusion】 Overall, the SLCP increased the income and consumption of rural households. At the same time, the SLCP widened the income and consumption inequality of rural households. In the Yangtze River Basin and the Yellow River Basin, the impact of the SLCP on the income and consumption inequality in sample rural household was different. Therefore, when designing new policy, government attention should be focused on the impact of inequality and its pathway in rural households. To account for differences in regional impacts, the policies of the SLCP should be adjusted to promote income and consumption equality appropriately.

Key words: sloping land conversion program (SLCP), income inequality, consumption inequality, permanent income hypothesis

中图分类号:

F326
S725

刘浩,刘璨,刘俊昌. 中国退耕还林工程对农户收入和消费不平等的影响测度[J]. 南京林业大学学报（自然科学版）, 2021, 45(1): 227-234.

LIU Hao, LIU Can, LIU Junchang. Effects of the sloping land conversion program impact on the rural households’ income and consumption inequalities in China[J].Journal of Nanjing Forestry University (Natural Science Edition), 2021, 45(1): 227-234.DOI: 10.12302/j.issn.1000-2006.202002035.

图/表 5

图1

表1

表2

表3

表4

退耕还林工程对收入和消费不平等的贡献"

年度 year	收入基尼系数 income GINI G_R	所有样本/% all samples				长江流域/% Yangtze River Basin				黄河流域/% Yellow River Basin
年度 year	收入基尼系数 income GINI G_R	$W R 3$	$W R 4$	$W R 5$	$W R 6$	$W R 3$	$W R 4$	$W R 5$	$W R 6$	$W R 3$	$W R 4$	$W R 5$	$W R 6$
1999	0.36	0.12	-0.09	0.05	0.02	0.03	-0.05	0.02	0.00	0.69	0.27	0.12	0.06
2003	0.35	1.10	-0.51	0.72	0.14	0.26	-0.77	0.29	0.06	3.15	0.62	1.44	0.17
2007	0.36	1.19	-0.99	0.59	0.59	0.24	-1.56	0.21	0.24	3.70	1.15	1.56	1.11
2011	0.40	1.05	-1.13	0.62	0.57	0.23	-1.59	0.24	0.20	3.26	0.71	1.45	1.07
2016	0.43	0.96	-0.99	0.65	0.36	0.18	-1.47	0.29	0.15	3.05	0.50	1.34	0.83
年度 year	消费基尼系数 consumption GINI G_C	所有样本/% all samples				长江流域/% Yangtze River Basin				黄河流域/% Yellow River Basin
年度 year	消费基尼系数 consumption GINI G_C	$W C 3$	$W C 4$	$W C 5$	$W C 6$	$W C 3$	$W C 4$	$W C 5$	$W C 6$	$W C 3$	$W C 4$	$W C 5$	$W C 6$
1999	0.31	0.06	-0.01	0.01	0.00	0.02	-0.02	0.01	0.00	-0.07	0.00	-0.01	0.00
2003	0.31	0.75	-0.08	0.11	0.03	0.13	-0.16	0.04	0.02	1.98	0.05	0.25	0.06
2007	0.31	1.01	-0.11	0.15	0.04	0.18	-0.23	0.06	0.03	3.05	0.05	0.26	0.06
2011	0.33	0.86	-0.10	0.13	0.03	0.13	-0.16	0.04	0.02	2.84	0.07	0.33	0.09
2016	0.33	0.80	-0.09	0.12	0.03	0.13	-0.16	0.04	0.02	2.50	0.06	0.31	0.08

表4

参考文献 32

[1]	ATKINSON A B. Inequality: what can be done?[M] Cambridge: Harvard University Press, 2015.
[2]	李实. 中国个人收入分配研究回顾与展望[R]. 北京:中国社会科学院经济研究所, 2002.
	LI S. A review of income inequality in China[R]. Beijing: Institute of Economics, Chinese Academy of Social Sciences, 2002.
[3]	国家统计局. 中国统计年鉴2018[M]. 北京: 中国统计出版社, 2019.
	National Bureau of Statistics. China Statistical Yearbook 2018 [M]. Beijing: China Statistics Press, 2019.
[4]	NOLAN B. Income inequality and public policy[J]. Journal of Public Policy, 2009,40(3):315-316. DOI: 10.1177/1741659009346020.
[5]	GLOMM G, KAGANOVICH M. Social security, public education and the growth-inequality relationship[J]. Eur Econ Rev, 2008,52(6):1009-1034. DOI: 10.1016/j.euroecorev.2007.10.002. doi: 10.1016/j.euroecorev.2007.10.002
[6]	JERRIM J, MACMILLAN L. Income inequality, intergenerational mobility, and the great gatsby curve: is education the key?[J]. Soc Forces, 2015,94(2):505-533. DOI: 10.1093/sf/sov075. doi: 10.1093/sf/sov075
[7]	PEROTTI R. Income distribution, fiscal policy, and delays in stabilization[J]. J Policy Reform, 1996,1(4):335-355. DOI: 10.1080/13841289608523367. doi: 10.1080/13841289608523367
[8]	谢颖, 于海峰, 许文立. 公共支出能缓解不平等吗?[J]. 财政研究, 2017(2):51-63, 72.
	XIE Y, YU H F, XU W L. Can public expenditure reduce inequality[J]. Public Finance Res, 2017(2):51-63, 72. DOI: 10.19477/j.cnki.11-1077/f.2017.02.005.
[9]	LIU C, MULLAN K, LIU H, et al. The estimation of long term impacts of China’s key priority forestry programs on rural household incomes[J]. J For Econ, 2014,20(3):267-285. DOI: 10.1016/j.jfe.2014.08.001.
[10]	国家林业和草原局. 中国林业和草原统计年鉴2018[M]. 北京: 中国林业出版社, 2019.
	National Forestry and Grassland Administration. China Forestry and Grassland statistical Yearbook 2018 [M]. Beijing: China Forestry Publishing House, 2019.
[11]	LI J, FELDMAN M W, LI S, et al. Rural household income and inequality under the sloping land conversion program in western China[J]. Proc Natl Acad Sci USA, 2011,108(19):7721-7726. DOI: 10.1073/pnas.1101018108. doi: 10.1073/pnas.1101018108 pmid: 21518856
[12]	刘璨. 林业重点工程对样本农户收入不平等影响的分解与分析[J]. 经济理论与经济管理, 2010(10):67-73.
	LIU C. The decomposition and analysis of the impact of priority forest programs (PFPS) on rural households’ income inequality[J]. Econ Theory Bus Manag, 2010(10):67-73. DOI: 10.3969/j.issn.1000-596X.2010.10.010.
[13]	LIU T, LIU C, LIU H, et al. Did the key priority forestry programs affect income inequality in rural China?[J]. Land Use Policy, 2014,38:264-275. DOI: 10.1016/j.landusepol.2013.11.016. doi: 10.1016/j.landusepol.2013.11.016
[14]	曲兆鹏, 赵忠. 老龄化对我国农村消费和收入不平等的影响[J]. 经济研究, 2008,43(12):85-99, 149.
	QU Z P, ZHAO Z. The effect of population aging on consumption and income inequality in rural China[J]. Econ Res J, 2008,43(12):85-99, 149. DOI: 10.1021/ma201263z
[15]	BLUNDELL R, PRESTON I. Consumption inequality and income uncertainty[J]. Q J Econ, 1998,113(2):603-640. DOI: 10.1162/003355398555694. doi: 10.1162/003355398555694
[16]	MEYER B D, SULLIVAN J X. Measuring the well-being of the poor using income and consumption[J]. J Hum Resour, 2003,38(1):1180-1220. DOI: 10.2307/3558985. doi: 10.2307/3558985
[17]	CUTLER D, KATZ L. Rising inequality? changes in the distribution of income and consumption in the 1980s[R]. National Bureau of Economic Research, 1992.DOI: 10.3386/w3964.
[18]	KRUEGER D, PERRI F. Does income inequality lead to consumption inequality?evidence and theory[R]. National Bureau of Economic Research, 2002.DOI: 10.3386/w9202.
[19]	FISHER J D, JOHNSON D, SMEEDING T M. Measuring the trends in inequality of individuals and families: income and consumption[J]. Am Econ Rev, 2013,103(3):184-188. DOI: 10.1257/aer.103.3.184. doi: 10.1257/aer.103.3.184
[20]	刘浩, 刘璨. 退耕还林工程对农民持久收入与消费影响的研究[J]. 制度经济学研究, 2012(1):16-47.
	LIU H, LIU C. Research on the impact of the sloping land conversion program on farmers’ permanent income and consumption[J]. Res Institutional Econ, 2012 (1):16-47.
[21]	FRIEDMAN M. Theory of the consumption function [M]. Princeton: Princeton University Press, 1957. DOI: 10.1515/9780691188485.
[22]	刘浩. 林业重点工程对农民持久收入的影响研究[J]. 林业经济, 2013,35(12):75-82.
	LIU H. An estimation of the effects of China’s sloping land conversion program on farmers’ permanent income and consumption[J]. For Econ, 2013,35(12):75-82. DOI: 10.13843/j.cnki.lyjj.2013.12.018.
[23]	LIU C, LV J, YIN R. An estimation of the effects of China’s priority forestry programs on farmers’ income[J]. Environ Manage, 2010,45(3):526-540. DOI: 10.1007/s00267-010-9433-2. doi: 10.1007/s00267-010-9433-2
[24]	YIN R, LIU H, LIU C, et al. Households’ decisions to participate in China’s sloping land conversion program and reallocate their labour times: is there endogeneity bias?[J]. Ecol Econ, 2018,145:380-390. DOI: 10.1016/j.ecolecon.2017.11.020. doi: 10.1016/j.ecolecon.2017.11.020
[25]	DEATON A, PAXSON C. Intertemporal choice and inequality[J]. J Political Econ, 1994,102(3):437-467. DOI: 10.1086/261941. doi: 10.1086/261941
[26]	THALER R H. Mental accounting and consumer choice[J]. Mark Sci, 2008,27(1):15-25. DOI: 10.1287/mksc.1070.0330. doi: 10.1287/mksc.1070.0330
[27]	张秋惠, 刘金星. 中国农村居民收入结构对其消费支出行为的影响:基于1997—2007年的面板数据分析[J]. 中国农村经济, 2010(4):48-54.
	ZHANG Q H, LIU J X. The impacts of income structure on consumption expenditure of rural residents in China:an analysis based on 1997-2007 panel data[J]. Chin Rural Econ, 2010(4):48-54. DOI: 10.3724/SP.J.1011.2010.01351.
[28]	THUNEN J H. Isolated state: An English edition of der isolierte staat[M]. Oxford: Pergamon Press, 1966.
[29]	GREENE W. Econometric analysis[M]. 5th ed. Englewood: Prentice Hall, 2003.
[30]	ATTANASIO O, BROWNING M. Consumption over the life cycle and over the business cycle[R]. National Bureau of Economic Research, 1993.DOI: 10.3386/w4453.
[31]	KRAAY A. Household saving in China[J]. World Bank Econ Rev, 2000,14(3):545-570. DOI: 10.1093/wber/14.3.545. doi: 10.1093/wber/14.3.545
[32]	PYATT G, CHEN C N, FEI J. The distribution of income by factor components[J]. Q J Econ, 1980,95(3):451-473. DOI: 10.2307/1885088. doi: 10.2307/1885088

项目 item	变量 variables	定义definition
退耕还林工程SLCP	S	参加退耕(是=1;否=0)participate in the SLCP (yes=1; otherwise=0)
生产要素投入 production factors input	P₁	耕地面积(hm²)area of cropland
	P₂	林地面积(hm²)area of forest land
	P₃	以土地为基础的劳动力投入(人·d)land-based labor input
	P₄	以土地为基础的生产费用(元)land-based production expenditure
	P₅	非农劳动力投入(人·d)off-farm labor input
收入income	R₁	以土地为基础的收入(元)land-based income
收入income	R₂	非农收入(元)off-farm income
消费consumption	C	消费(元)total consumption
市场因素 market factors	M₁	农产品价格指数(1995年为1)price index of agricultural products (which in 1995 is 1)
	M₂	林产品价格指数(1995年为1)price index of forest products (which in 1995 is 1)
	M₃	劳动力价格指数(1995年为1)price index of employing labor (which in 1995 is 1)
	M₄	银行1年期存款基准利率(%)interest rate of bank’s 1-year deposits
其他政策 other policies	O₁	种植业税费(补贴视为负项税)(元)tax-fee of agricultural production
其他政策 other policies	O₂	林业税费(补贴视为负项税)(元)tax-fee of forestry production
家庭特征 family characteristics	F₁	家庭人口(人)household size
	F₂	户主年龄(岁)age of the household head
	F₃	户主受教育年限(a)education year of the household head
	F₄	户主是干部(是=1;否=0)whether the household head is a cadre (yes=1; otherwise=0)
村庄特征 village characteristics	V₁	村庄到县城的距离(km)distance from village to county
	V₂	村庄道路状况(硬化=1;否则=0)road conditions (hard surface=1; otherwise=0)
	V₃	村级平均消费支出(元)average consumption expenditure of the village

变量 variables	所有样本 all samples	较低收入 lower level	中等收入 middle level	较高收入 higher level
R₃	0.34^***(0.01)	0.39^***(0.01)	0.29^***(0.01)	0.26^***(0.01)
R₄	0.01^***(0.00)	0.02^***(0.00)	0.01^***(0.00)	0.01^***(0.00)
R₅	0.14^***(0.01)	0.16^***(0.02)	0.05^**(0.02)	0.06^***(0.02)
R₆	0.02^***(0.00)	0.02^***(0.00)	0.01(0.01)	0.01^*(0.00)

年度 year	所有样本 all samples				长江流域 Yangtze River Basin				黄河流域 Yellow River Basin
年度 year	ΔR₃	ΔR₄	ΔR₅	ΔR₆	ΔR₃	ΔR₄	ΔR₅	ΔR₆	ΔR₃	ΔR₄	ΔR₅	ΔR₆
1999	12.17	-4.54	1.37	0.34	2.16	-3.04	0.52	0.07	41.23	6.50	2.95	1.47
2003	93.81	-21.72	26.30	3.84	21.00	-39.65	11.14	1.81	216.19	12.97	42.44	4.18
2007	136.23	-40.05	48.55	13.98	27.69	-61.95	18.88	5.22	379.42	32.00	97.74	30.99
2011	146.13	-38.21	81.05	19.11	30.19	-59.66	28.29	7.62	395.58	30.12	200.38	36.74
2016	185.77	-35.52	135.96	21.36	35.34	-54.29	51.99	9.21	573.72	28.84	283.94	33.12
年度 year	所有样本 all samples				长江流域 Yangtze River Basin				黄河流域 Yellow River Basin
年度 year	ΔC₃	ΔC₄	ΔC₅	ΔC₆	ΔC₃	ΔC₄	ΔC₅	ΔC₆	ΔC₃	ΔC₄	ΔC₅	ΔC₆
1999	4.18	-0.44	0.63	0.16	0.64	-0.81	0.21	0.10	11.98	0.28	1.50	0.37
2003	35.98	-3.81	5.39	1.35	6.23	-7.82	2.07	0.92	81.44	1.90	10.17	2.54
2007	66.81	-7.08	10.02	2.50	10.82	-13.58	3.60	1.60	174.79	4.09	21.83	5.45
2011	92.27	-9.78	13.83	3.46	13.74	-17.24	4.57	2.03	279.35	6.53	34.89	8.71
2016	115.12	-12.20	17.26	4.31	18.87	-23.69	6.28	2.79	294.14	6.87	36.74	9.17

中国退耕还林工程对农户收入和消费不平等的影响测度

Effects of the sloping land conversion program impact on the rural households’ income and consumption inequalities in China

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 5

参考文献 32

相关文章 15

编辑推荐

Metrics

本文评价

作者

读者

审稿

[1]	潘磊, 熊立春, 姚瑜晨, 梁昭, 朱臻. 中国对RCEP成员国的林产品出口效率以及潜力预测研究[J]. 南京林业大学学报（自然科学版）, 2024, 48(1): 237-247.
[2]	罗奕奕, 李凌超, 程宝栋. 经济增长对森林破碎化的影响——以中国京津冀地区为例[J]. 南京林业大学学报（自然科学版）, 2024, 48(1): 227-236.
[3]	杨梦, 彭红军. 看跌期权下的风险规避型营林企业最优策略[J]. 南京林业大学学报（自然科学版）, 2023, 47(4): 244-252.
[4]	罗顺兰, 胡原, 曾维忠, 郑雯雪. 相对视角下森林碳汇项目农村经济福利效应[J]. 南京林业大学学报（自然科学版）, 2023, 47(4): 253-261.
[5]	余红红, 杨加猛. 我国森林生态效率测算及时空演变分析[J]. 南京林业大学学报（自然科学版）, 2023, 47(2): 167-177.
[6]	陈幸良. 林下经济学的缘起、发展与展望[J]. 南京林业大学学报（自然科学版）, 2022, 46(6): 105-114.
[7]	彭红军, 徐笑, 俞小平. 林业碳汇产品价值实现路径综述[J]. 南京林业大学学报（自然科学版）, 2022, 46(6): 177-186.
[8]	李朝洪, 韦唯, 姜钰. 黑龙江省天保工程区绩效评价及其障碍因子甄别[J]. 南京林业大学学报（自然科学版）, 2022, 46(5): 201-212.
[9]	宋烨, 彭红军, 孙铭君. 碳限额与交易下木质林产品供应链内部融资机制[J]. 南京林业大学学报（自然科学版）, 2021, 45(6): 232-238.
[10]	薛蓓蓓, 田国双. 基于碳汇木材复合经营目标的综合效益及影响因素分析[J]. 南京林业大学学报（自然科学版）, 2021, 45(2): 205-212.
[11]	蒋瞻, 蔡志坚, 秦希. 生态绩效增长视角下的林业生产要素优化[J]. 南京林业大学学报（自然科学版）, 2019, 43(6): 159-164.
[12]	李朝洪,赵晓红. 黑龙江省森工国有林区生态建设与经济转型协调发展研究[J]. 南京林业大学学报（自然科学版）, 2019, 43(02): 144-152.
[13]	沈杰,杨忠月,乔吉良. 基于季节性时间序列模型的林业产值预测分析[J]. 南京林业大学学报（自然科学版）, 2018, 42(05): 185-190.
[14]	马仁锋,侯勃,窦思敏,王腾飞. 森林资源资产地域审计重点筛选模型构建及应用[J]. 南京林业大学学报（自然科学版）, 2018, 42(04): 46-52.
[15]	陈家新,杨红强. 全球森林及林产品碳科学研究进展与前瞻[J]. 南京林业大学学报（自然科学版）, 2018, 42(04): 1-8.