Table 3 Table of the amount of labor and... | Emerald Publishing

Table 3

Table of the amount of labor and the average man-day per mu in the sample provinces

	Liaoning		Fujian		Jiangxi		Hunan		Yunnan		Shaanxi		Gansu
	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor
	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person
2010	0.299	11.227	0.723	37.620	0.415	23.592	0.406	28.832	0.677	83.627	0.151	8.156	0.378	8.641
2011	0.262	9.834	0.714	37.176	0.286	16.271	0.570	40.488	0.705	87.139	0.111	6.000	0.419	9.561
2012	0.299	11.206	0.706	36.732	0.319	18.150	0.586	41.633	0.679	83.949	0.118	6.379	0.415	9.476
2013	0.335	12.579	0.724	37.692	0.239	13.600	0.587	41.730	0.609	75.270	0.105	5.645	0.339	7.734
2014	0.409	14.482	0.876	44.881	0.258	14.505	0.541	38.226	0.584	68.598	0.160	8.389	0.424	9.552
2016	0.522	18.489	0.945	48.384	0.276	15.549	0.700	49.440	0.582	68.427	0.161	8.461	0.381	8.588
2017	0.544	19.281	0.946	48.448	0.497	27.979	0.621	43.833	0.581	68.256	0.172	9.006	0.403	9.070

	Liaoning		Fujian		Jiangxi		Hunan		Yunnan		Shaanxi		Gansu
	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor	Man-day	Labor
	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person	Per mu	Person
2010	0.299	11.227	0.723	37.620	0.415	23.592	0.406	28.832	0.677	83.627	0.151	8.156	0.378	8.641
2011	0.262	9.834	0.714	37.176	0.286	16.271	0.570	40.488	0.705	87.139	0.111	6.000	0.419	9.561
2012	0.299	11.206	0.706	36.732	0.319	18.150	0.586	41.633	0.679	83.949	0.118	6.379	0.415	9.476
2013	0.335	12.579	0.724	37.692	0.239	13.600	0.587	41.730	0.609	75.270	0.105	5.645	0.339	7.734
2014	0.409	14.482	0.876	44.881	0.258	14.505	0.541	38.226	0.584	68.598	0.160	8.389	0.424	9.552
2016	0.522	18.489	0.945	48.384	0.276	15.549	0.700	49.440	0.582	68.427	0.161	8.461	0.381	8.588
2017	0.544	19.281	0.946	48.448	0.497	27.979	0.621	43.833	0.581	68.256	0.172	9.006	0.403	9.070

Source(s): Monitoring Project of China’s Collective Forest Tenure Reform, Economic Research Center, the National Forestry and Grassland Administration