Elsevier 2023 SDG mapping
Tips
How to read a Scopus query
The Scopus queries presented in this view correspond to what is known on scopus.com as advanced search queries. Advanced searches allow a query creator to create complex and robust queries using field codes, Boolean operators, or proximity operators. We detail each of these elements below.
Field codes
A typical publication's Scopus record contains a myriad of information about it. To make this information easily usable, this information is structured and parsed apart in different fields, each containing a given type of information. For example, the title field contains a publication's title, and the publication year field informs us about when a given publication was first made public.
Field codes are there to indicate which field(s) we would like to source information from when conducting a given search. To avoid searches becoming overly long, they are usually shortened words such as ABS, which stands for "Abstract". The most commonly-used field codes used by our query-building team are:
- TITLE-ABS-KEY
Searches through the Title, Abstract, and all Keywords - TITLE-ABS
Searches only through the Title and Abstract - AUTHKEY
Searches only through the Author-defined keywords - SRCTITLE
Searches only through the journal or conference proceedings' titles
To conduct a search in a given field, the syntax is always field-code(search-term).
The field codes used can potentially have a deep impact on a search. For example, searching for "Canada" in field AFFILCOUNTRY would return publications where at least one author was affiliated with a Canadian institution, while the same search conducted in field TITLE-ABS-KEY would return articles that concern Canada.
Boolean operators
In most cases, conducting a Scopus search using a single field code or a single term is not sufficient to obtain a robust set of results. To remedy this, Scopus searches make use of boolean operators to allow for the combination of different terms or query parts. The allowed operators are
- OR
At least one of the terms must appear in the specified field, or at least one of the searches must match - AND
Both of the terms must appear in the specified field, or both searches must match - AND NOT
Only the first term must appear in the specified field, or only the first search must match
Boolean operators are applied in the order they were listed above. Therefore, KEY(mouse AND NOT cat OR dog) is interpreted as KEY((mouse) AND NOT (cat OR dog)).
Proximity operators
In some instances, a certain word is deemed relevant to a topic only if it is close to another word in the text, or certain phrasings might space out two related words defining a topic, which we could want to be tolerant to. For example, the sentence "publishing scholarly journals" is relevant to the topic of "scholarly publishing", but searching for "scholarly publishing" alone would not capture an article that used this expression.
Using proximity searches enable building queries that are tolerant to such things. Two proximity search operators are available in Scopus:
- W/n
Both terms must be within n words of each other, but not in any particular order - PRE/n
Both terms must be within n words of each other, in the order they are listed in
For example, the search TITLE-ABS-KEY("journal" W/2 "publishing") would capture the sentence from the example above, but TITLE-ABS-KEY("journal" PRE/2 "publishing") would not, since the words are not in the same order.
Introduction
The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind.
Since 2018, Elsevier has generated SDG search queries to help researchers and institutions track and demonstrate progress toward the SDG targets. In the past 3 years, these queries, along with the university’s own data and evidence supporting progress and contributions to the particular SDG outside of research-based metrics, are used for the THE Impact Rankings.
Method
For 2023, the SDGs use the exact same search query and ML algorithm as the Elsevier 2022 SDG mappings, with only minor modifications to five SDGs, namely SDG 1, 4, 5, 7 and 14. In these cases, the queries were shortened by removing exclusion lists based on journal identifiers. These exclusion lists often contained thousands of items to filter out content in journals that were not core to the SDGs.
To replicate the effect of these journal exclusions, sets of keywords were used to closely mimic the effects the journal exclusions had on the SDG content, while greatly reducing the overall query size and complexity. By following this approach, we were able to limit the changes to the publications in each SDG by less than 2 percent for most SDGs, while reducing the query size by 50 percent or more.
These shortened queries also have the added benefit of running faster in Scopus, allowing further analysis of the SDG data to be done more easily. Full details of the 2022 methodology are available on Digital Commons Data.
SDG 17 – Partnerships for the Goals
Query
Below is the full search query used for SDG 17 – Partnerships for the Goals. We’ve broken it down by each query component. Use the + and – buttons to expand or concatenate the different bracket levels.
Subfields of science
In this section, we show how the publication set, captured by the query above, relates to the Science-Metrix classification system.As shown in Figure 1, the publications related to this publication set fall mainly under the subfields of Energy (135,739 publications), Environmental Sciences (111,767 publications) and Economics (83,545 publications). The total share of each subfield included under the publication set are presented upon hovering your cursor over the bars.
Journals
In this section, we show how the publication set, captured by the query above, relates to scholarly journals. Journals are sorted in terms of their total output in the field. The horizontal bars are proportional to the number of publications contributed by the journal to the current publication set. To see the proportion of the total publications in the journal contributing to this publication set or their relevance score, you can hover your cursor over the bars.The articles on this topic are published most frequently in the following journals: PLoS ONE (28,258 publications), Sustainability (Switzerland) (22,632 publications) and IOP Conference Series: Earth and Environmental Science (16,407 publications).
Keywords
Elsevier’s Scopus database of scientific literature, was used for the table below. The document types included in the data sets are journal articles, reviews, short surveys and conference papers, covering the period 1996–2022. We refer to these documents collectively as “publications” or “papers”.In order to help better illustrate the content of this set of publications, indicators associated with the keywords most specific to this set (according to a TF-IDF score) are presented below.
Term | Papers with this term in the publication set | Papers with this term in all of Scopus | Relevance (tf-idf) | Percentage of Scopus |
---|---|---|---|---|
ppp project | 1532 | 1761 | 18.805866 | 87 |
ppp projects | 1256 | 1433 | 18.785142 | 88 |
developing country context | 1248 | 1440 | 18.763755 | 87 |
public–private partnership | 1395 | 1653 | 18.736976 | 84 |
public-private partnership (ppp) | 1073 | 1271 | 18.681716 | 84 |
small island developing state | 1132 | 1375 | 18.650996 | 82 |
south china university of technology | 597 | 631 | 18.649870 | 95 |
china climate | 1445 | 1825 | 18.627283 | 79 |
small island developing states | 1010 | 1229 | 18.618355 | 82 |
public private partnership | 1661 | 2131 | 18.614084 | 78 |
north china plain (ncp) | 1057 | 1315 | 18.591998 | 80 |
developing country. | 3744 | 4724 | 18.589730 | 79 |
economic growth in china | 967 | 1194 | 18.580509 | 81 |
public–private partnerships | 807 | 965 | 18.575582 | 84 |
developing states | 1475 | 1923 | 18.572544 | 77 |
belt and road initiative | 2796 | 3672 | 18.560801 | 76 |
belt and road initiative (bri) | 1196 | 1540 | 18.560188 | 78 |
informal economy | 2217 | 2950 | 18.553357 | 75 |
the north china plain (ncp) | 887 | 1096 | 18.552505 | 81 |
the belt and road initiative | 1812 | 2416 | 18.548624 | 75 |
developing state | 2011 | 2687 | 18.547059 | 75 |
provincial panel data | 910 | 1134 | 18.546147 | 80 |
loess plateau, china | 1197 | 1555 | 18.544672 | 77 |
cross-border cooperation | 1024 | 1315 | 18.528354 | 78 |
loess plateau of china | 1340 | 1789 | 18.516285 | 75 |
the north china plain | 2823 | 3804 | 18.509959 | 74 |
monetary policy rule | 833 | 1043 | 18.508711 | 80 |
public-private partnerships | 3935 | 5174 | 18.495990 | 76 |
china energy | 1011 | 1325 | 18.489542 | 76 |
the belt and road | 2255 | 3116 | 18.481371 | 72 |
public private | 1743 | 2415 | 18.475941 | 72 |
the loess plateau of china | 1058 | 1407 | 18.475703 | 75 |
road initiative | 3001 | 4098 | 18.475642 | 73 |
informal employment | 784 | 990 | 18.472619 | 79 |
urbanization in china | 1047 | 1395 | 18.469819 | 75 |
formal economy | 2366 | 3291 | 18.466170 | 72 |
border cooperation | 1122 | 1517 | 18.460401 | 74 |
north china plain | 3607 | 4894 | 18.453951 | 74 |
china's economy | 1489 | 2077 | 18.451209 | 72 |
the informal economy | 1144 | 1561 | 18.448446 | 73 |
belt and road | 3450 | 4735 | 18.440778 | 73 |
spatial spillover effect | 1235 | 1719 | 18.428220 | 72 |
the sustainable development goals (sdgs) | 2194 | 3123 | 18.426576 | 70 |
public private partnerships | 748 | 963 | 18.422305 | 78 |
anti-money laundering | 875 | 1167 | 18.417245 | 75 |
monetary policy rules | 551 | 658 | 18.409801 | 84 |
economic development in china | 674 | 857 | 18.401062 | 79 |
tax policies | 1295 | 1841 | 18.398557 | 70 |
mozambique channel | 533 | 636 | 18.393860 | 84 |
prefecture-level cities | 1073 | 1500 | 18.391732 | 72 |
the informal sector | 2271 | 3291 | 18.391032 | 69 |
livelihood diversification | 592 | 731 | 18.390823 | 81 |
congo red (cr) | 1962 | 2853 | 18.389131 | 69 |
low- and middle-income countries (lmics) | 2517 | 3648 | 18.382765 | 69 |
public-private partnerships (ppps) | 686 | 886 | 18.382452 | 77 |
china's economic development | 622 | 783 | 18.382264 | 79 |
excise tax | 1119 | 1589 | 18.373565 | 70 |
low-income and middle-income countries | 1533 | 2238 | 18.371422 | 68 |
the belt and road initiative (bri) | 700 | 916 | 18.368887 | 76 |
money laundering | 2424 | 3560 | 18.360964 | 68 |
tax avoidance | 1582 | 2327 | 18.360279 | 68 |
the sdgs | 2566 | 3760 | 18.359834 | 68 |
private partnerships | 5584 | 7445 | 18.357637 | 75 |
public–private | 1594 | 2349 | 18.357454 | 68 |
shadow economy | 918 | 1279 | 18.356866 | 72 |
monetary policy shock | 1250 | 1829 | 18.341472 | 68 |
small island developing states (sids) | 508 | 617 | 18.339698 | 82 |
smallholder farming | 1005 | 1439 | 18.334149 | 70 |
tax evasion | 2216 | 3320 | 18.329523 | 67 |
optimal monetary policy | 751 | 1024 | 18.327194 | 73 |
fiscal policies | 2104 | 3166 | 18.323690 | 66 |
low-and middle-income countries | 1917 | 2892 | 18.320711 | 66 |
informal sector | 3915 | 5626 | 18.320029 | 70 |
official development assistance | 881 | 1248 | 18.316140 | 71 |
corporate tax | 2389 | 3596 | 18.315382 | 66 |
innovation in china | 650 | 866 | 18.308083 | 75 |
smallholder farmers | 4623 | 6552 | 18.299300 | 71 |
china health | 2788 | 4206 | 18.293483 | 66 |
public-private partnership | 7137 | 9340 | 18.291787 | 76 |
logarithmic mean divisia index | 731 | 1012 | 18.291541 | 72 |
china health and nutrition survey | 883 | 1270 | 18.290766 | 70 |
green total factor productivity | 429 | 506 | 18.289302 | 85 |
smallholder farmer | 4752 | 6754 | 18.284512 | 70 |
low-and middle-income | 2072 | 3185 | 18.284261 | 65 |
united nations framework convention on climate change (unfccc) | 781 | 1103 | 18.281999 | 71 |
china economic growth | 375 | 421 | 18.280581 | 89 |
china health and retirement longitudinal study | 1044 | 1550 | 18.280207 | 67 |
monetary policy. | 2610 | 3984 | 18.279583 | 66 |
tax policy | 3478 | 5178 | 18.278649 | 67 |
sub-saharan africa (ssa) | 2779 | 4226 | 18.278549 | 66 |
development cooperation | 1382 | 2112 | 18.277956 | 65 |
sustainable development goal (sdg) | 700 | 969 | 18.274957 | 72 |
foreign aid | 3062 | 4633 | 18.272644 | 66 |
sustainable development policies | 442 | 533 | 18.272279 | 83 |
monetary policy shocks | 1001 | 1485 | 18.271546 | 67 |
united nations sustainable development goals | 1138 | 1716 | 18.271299 | 66 |
emerging countries | 3798 | 5627 | 18.267114 | 67 |
china's manufacturing | 444 | 539 | 18.264375 | 82 |
2030 agenda | 1937 | 3013 | 18.263679 | 64 |
subtropical china | 1028 | 1540 | 18.260975 | 67 |
middle-income countries (lmics) | 4084 | 6019 | 18.258023 | 68 |
monetary policies | 1678 | 2620 | 18.254549 | 64 |
public partnership | 609 | 824 | 18.253929 | 74 |
china universities | 815 | 1185 | 18.247111 | 69 |
low and middle-income countries | 2008 | 3151 | 18.246597 | 64 |
international cooperation. | 1282 | 1984 | 18.245496 | 65 |
2030 agenda for sustainable development | 967 | 1452 | 18.241898 | 67 |
radium equivalent | 801 | 1165 | 18.240861 | 69 |
agenda for sustainable development | 1050 | 1597 | 18.239361 | 66 |
divisia index | 916 | 1367 | 18.237987 | 67 |
low and middle income countries | 1808 | 2853 | 18.237053 | 63 |
middle-income country | 1934 | 3058 | 18.233214 | 63 |
china's economic growth | 519 | 679 | 18.231246 | 76 |
skilled birth | 983 | 1489 | 18.230889 | 66 |
public–private partnership (ppp) | 329 | 360 | 18.228975 | 91 |
livelihood activities | 525 | 691 | 18.227439 | 76 |
lmdi | 972 | 1473 | 18.227282 | 66 |
the 2030 agenda | 1315 | 2060 | 18.227277 | 64 |
the china health and nutrition survey | 650 | 910 | 18.226016 | 71 |
provinces in china | 3139 | 4855 | 18.225172 | 65 |
value-added tax | 653 | 916 | 18.224687 | 71 |
policy shocks | 1271 | 1990 | 18.223491 | 64 |
chinese provinces | 1555 | 2466 | 18.221973 | 63 |
farming households | 880 | 1317 | 18.221662 | 67 |
development assistance | 2444 | 3864 | 18.219749 | 63 |
groundwater potential | 1181 | 1841 | 18.219505 | 64 |
china coal | 814 | 1206 | 18.214789 | 67 |
policy shock | 1621 | 2585 | 18.214287 | 63 |
emerging country | 858 | 1285 | 18.212889 | 67 |
older farmers | 4893 | 7176 | 18.210723 | 68 |
unfccc | 1714 | 2742 | 18.210692 | 63 |
the china health and retirement longitudinal study | 777 | 1144 | 18.209860 | 68 |
farming household | 921 | 1399 | 18.209033 | 66 |
brics countries | 891 | 1347 | 18.207948 | 66 |
formal employment | 1138 | 1783 | 18.203829 | 64 |
carbon tax policy | 324 | 359 | 18.198746 | 90 |
sdg 1 | 886 | 1346 | 18.197955 | 66 |
rural livelihoods | 1596 | 2569 | 18.196414 | 62 |
low and middle-income | 2180 | 3508 | 18.195737 | 62 |
unfcc | 1737 | 2806 | 18.193107 | 62 |
sustainable development goals (sdgs) | 5416 | 7888 | 18.187506 | 69 |
taylor rule | 905 | 1389 | 18.186400 | 65 |
high-quality development | 1468 | 2370 | 18.185130 | 62 |
or in developing countries | 695 | 1014 | 18.184419 | 69 |
regional sustainable development | 936 | 1446 | 18.184270 | 65 |
sdg indicator | 320 | 356 | 18.183552 | 90 |
rural livelihood | 1964 | 3190 | 18.182857 | 62 |
sustainable development policy | 404 | 499 | 18.179829 | 81 |
tropical china | 1124 | 1783 | 18.179702 | 63 |
autoregressive distributed lag (ardl) | 1241 | 1989 | 18.178322 | 62 |
development aid | 1489 | 2417 | 18.176465 | 62 |
developing economy | 1806 | 2958 | 18.168179 | 61 |
the shadow economy | 554 | 769 | 18.167968 | 72 |
spatial spillover | 1533 | 2504 | 18.167275 | 61 |
smallholder farm | 5993 | 8649 | 18.165327 | 69 |
public private partnership (ppp) | 400 | 497 | 18.164328 | 80 |
un sustainable development goal | 1019 | 1612 | 18.164053 | 63 |
unfc | 1756 | 2883 | 18.163478 | 61 |
least developed countries | 1042 | 1655 | 18.162045 | 63 |
formal sector | 4398 | 6729 | 18.160546 | 65 |
country context | 1935 | 3184 | 18.158999 | 61 |
case study in china | 618 | 893 | 18.152261 | 69 |
the sustainable development goals | 5612 | 8262 | 18.151281 | 68 |
value added tax | 709 | 1062 | 18.148068 | 67 |
economic development level | 1078 | 1734 | 18.147060 | 62 |
public partner | 680 | 1010 | 18.146148 | 67 |
smallholders | 3150 | 5072 | 18.145907 | 62 |
middle income countries | 3667 | 5803 | 18.145258 | 63 |
effects of monetary policy | 633 | 926 | 18.142224 | 68 |
ssa countries | 728 | 1101 | 18.141706 | 66 |
low and middle income | 2048 | 3401 | 18.139967 | 60 |
radium equivalent activity | 532 | 743 | 18.138217 | 72 |
excise taxes | 550 | 776 | 18.137975 | 71 |
demographic and health surveys | 1864 | 3104 | 18.137419 | 60 |
sustainable livelihoods | 1137 | 1851 | 18.136189 | 61 |
inflation targeting | 1561 | 2598 | 18.134280 | 60 |
electricity access | 614 | 896 | 18.133240 | 69 |
sustainable livelihood | 1735 | 2897 | 18.132200 | 60 |
un sustainable development goals | 896 | 1418 | 18.130981 | 63 |
groundwater potential zone | 532 | 747 | 18.129529 | 71 |
developing country perspective | 384 | 480 | 18.129103 | 80 |
spatial durbin model | 838 | 1314 | 18.127435 | 64 |
redd+ | 1328 | 2204 | 18.125190 | 60 |
tax system | 3443 | 5549 | 18.124622 | 62 |
livelihood strategies | 1147 | 1882 | 18.123912 | 61 |
durbin model | 883 | 1400 | 18.123756 | 63 |
study in china | 2676 | 4424 | 18.123039 | 60 |
spatial spillover effects | 612 | 898 | 18.122790 | 68 |
south africa (sa) | 1038 | 1686 | 18.122126 | 62 |
the 2030 agenda for sustainable development | 687 | 1039 | 18.120035 | 66 |
smallholder farms | 696 | 1057 | 18.118066 | 66 |
is in developing countries | 576 | 834 | 18.117533 | 69 |
lulc change | 1023 | 1669 | 18.111249 | 61 |
a-share | 1667 | 2815 | 18.110580 | 59 |
economic corridor | 611 | 903 | 18.110262 | 68 |
yangtze river delta (yrd) | 693 | 1060 | 18.104493 | 65 |
georgia institute of technology | 745 | 1161 | 18.099563 | 64 |
access to electricity | 1160 | 1933 | 18.098566 | 60 |
informal sectors | 536 | 769 | 18.098349 | 70 |
sustainable development goals (sdg) | 653 | 990 | 18.095973 | 66 |
southeast china | 2108 | 3583 | 18.094839 | 59 |
northwestern china | 3302 | 5435 | 18.092812 | 61 |
lower-middle-income | 770 | 1217 | 18.087055 | 63 |
low- and middle-income countries (lmic) | 581 | 860 | 18.085432 | 68 |
low-income country | 886 | 1438 | 18.084609 | 62 |
carbon emission intensity | 514 | 736 | 18.080701 | 70 |
chinese province | 1687 | 2897 | 18.080085 | 58 |
deforestation and forest degradation | 1070 | 1787 | 18.079816 | 60 |
outward foreign direct investment | 788 | 1257 | 18.079033 | 63 |
transfer pricing | 780 | 1242 | 18.078763 | 63 |
lower-middle-income countries | 537 | 781 | 18.077195 | 69 |
autoregressive distributed lag | 2854 | 4807 | 18.076861 | 59 |
monetary policy transmission | 637 | 972 | 18.075183 | 66 |
china development | 590 | 883 | 18.074285 | 67 |
logarithmic mean divisia index (lmdi) | 429 | 580 | 18.073979 | 74 |
yangtze river delta, china | 429 | 580 | 18.073979 | 74 |
agriculture in china | 416 | 556 | 18.073906 | 75 |
northern south china sea | 1485 | 2552 | 18.072907 | 58 |
china’s economy | 521 | 753 | 18.072463 | 69 |
lulc changes | 654 | 1007 | 18.070912 | 65 |
developed and developing countries | 7992 | 11303 | 18.070814 | 71 |
agenda 2030 | 755 | 1201 | 18.069582 | 63 |
tax systems | 804 | 1296 | 18.067716 | 62 |
private partnership | 10203 | 13548 | 18.067695 | 75 |
groundwater potential zones | 462 | 645 | 18.065064 | 72 |
divisia | 1026 | 1724 | 18.060512 | 60 |
middle east and north africa (mena) | 1069 | 1808 | 18.057552 | 59 |
africa region | 1190 | 2035 | 18.056927 | 58 |
green development | 1707 | 2970 | 18.056236 | 57 |
spatial durbin | 890 | 1472 | 18.053490 | 60 |
stirpat model | 470 | 665 | 18.053119 | 71 |
external hazard index | 366 | 471 | 18.052939 | 78 |
the brics | 1072 | 1821 | 18.050466 | 59 |
china institute of atomic energy | 371 | 481 | 18.050225 | 77 |
gulf of mexico (gom) | 1109 | 1893 | 18.048350 | 59 |
south china sea (scs) | 1944 | 3397 | 18.046928 | 57 |
conventional monetary policy | 797 | 1300 | 18.044924 | 61 |
fiscal policy | 7381 | 10774 | 18.044839 | 69 |
nanjing, china | 1292 | 2239 | 18.044591 | 58 |
department for international development | 420 | 574 | 18.044526 | 73 |
china region | 906 | 1513 | 18.041649 | 60 |
policy transmission | 707 | 1129 | 18.040009 | 63 |
low-carbon development | 926 | 1553 | 18.039932 | 60 |
lmics | 5489 | 8574 | 18.038198 | 64 |
tax administration | 947 | 1595 | 18.038142 | 59 |
ardl bound | 647 | 1014 | 18.037313 | 64 |
underground economy | 449 | 632 | 18.036255 | 71 |
low income countries | 1181 | 2042 | 18.036246 | 58 |
corporate tax avoidance | 363 | 471 | 18.034831 | 77 |
the yangtze river delta | 2191 | 3840 | 18.034441 | 57 |
small-scale farmers | 1262 | 2196 | 18.034347 | 57 |
grain for green | 527 | 783 | 18.033496 | 67 |
japan international cooperation agency | 376 | 496 | 18.031945 | 76 |
farm households | 1465 | 2574 | 18.031865 | 57 |
232th and 40k | 760 | 1238 | 18.031800 | 61 |
ict4d | 743 | 1205 | 18.031571 | 62 |
unconventional monetary policy | 707 | 1135 | 18.031148 | 62 |
china health and retirement longitudinal study (charls) | 520 | 771 | 18.030282 | 67 |
revenue collection | 526 | 783 | 18.029499 | 67 |
skilled birth attendant | 603 | 933 | 18.029225 | 65 |
fdi inflow | 1277 | 2231 | 18.028715 | 57 |
india meteorological department | 553 | 836 | 18.028374 | 66 |
rapid economic development | 1590 | 2806 | 18.028320 | 57 |
west of china | 1288 | 2253 | 18.027555 | 57 |
air pollution in china | 423 | 586 | 18.027335 | 72 |
mann–kendall | 1003 | 1713 | 18.027301 | 59 |
application in china | 564 | 858 | 18.027260 | 66 |
local livelihood | 822 | 1363 | 18.026503 | 60 |
the northern south china sea | 1146 | 1988 | 18.025625 | 58 |
inflation target | 1915 | 3390 | 18.023296 | 56 |
pro-poor | 1563 | 2765 | 18.023213 | 57 |
international tax | 917 | 1552 | 18.021750 | 59 |
research in india | 650 | 1031 | 18.019290 | 63 |
reducing emissions from deforestation | 688 | 1106 | 18.018868 | 62 |
smallholder farming system | 437 | 616 | 18.018696 | 71 |
southeastern china | 1442 | 2551 | 18.018330 | 57 |
bounds test | 1164 | 2031 | 18.017894 | 57 |
private partner | 10300 | 13966 | 18.016364 | 74 |
small-scale farmer | 1301 | 2294 | 18.014462 | 57 |
the millennium development goals | 1743 | 3105 | 18.013027 | 56 |
northeastern china | 3143 | 5420 | 18.012395 | 58 |
the south china sea (scs) | 1293 | 2284 | 18.010534 | 57 |
environmental kuznets curve (ekc) | 1036 | 1794 | 18.010073 | 58 |
sustainable development in china | 361 | 475 | 18.009609 | 76 |
emerging and developing countries | 333 | 423 | 18.009472 | 79 |
outward foreign direct investment (ofdi) | 401 | 551 | 18.008392 | 73 |
xinjiang, china | 2158 | 3841 | 18.006567 | 56 |
rural china | 3544 | 6046 | 18.005300 | 59 |
sub-saharan african countries | 2415 | 4278 | 18.004483 | 56 |
land expansion | 1220 | 2154 | 18.003977 | 57 |
coupling coordination | 822 | 1382 | 18.002966 | 59 |
loess plateau in china | 427 | 603 | 18.002566 | 71 |
urbanization rate | 882 | 1501 | 18.002134 | 59 |
wealth quintile | 865 | 1468 | 18.001578 | 59 |
tax policy. | 457 | 662 | 18.000417 | 69 |
farm household | 1867 | 3348 | 18.000020 | 56 |
congo red dye | 870 | 1482 | 17.996784 | 59 |
smallholder agriculture | 556 | 859 | 17.995550 | 65 |
smallholder farming systems | 396 | 546 | 17.995401 | 73 |
coastal provinces | 613 | 973 | 17.994242 | 63 |
official development assistance (oda) | 417 | 587 | 17.993811 | 71 |
reform and opening | 1135 | 2004 | 17.992907 | 57 |
universities in china | 691 | 1130 | 17.991944 | 61 |
different regions of china | 705 | 1158 | 17.991857 | 61 |
fdi inflows | 1064 | 1870 | 17.989459 | 57 |
corporate taxation | 487 | 726 | 17.988433 | 67 |
developing nations | 6884 | 10492 | 17.988346 | 66 |
trade openness | 2268 | 4076 | 17.983942 | 56 |
built-up land | 819 | 1392 | 17.983411 | 59 |
yangtze river delta | 2985 | 5256 | 17.982394 | 57 |
reducing emissions from deforestation and forest degradation | 572 | 898 | 17.982300 | 64 |
public-private-partnership | 292 | 355 | 17.981487 | 82 |
household livelihood | 458 | 672 | 17.981249 | 68 |
coupling coordination degree | 637 | 1030 | 17.979429 | 62 |
antenatal care (anc) | 1235 | 2215 | 17.977736 | 56 |
state grid corporation of china | 385 | 531 | 17.977582 | 73 |
east of china | 920 | 1600 | 17.975768 | 58 |
sustainability policies | 442 | 643 | 17.975236 | 69 |
skilled birth attendance | 421 | 602 | 17.974703 | 70 |
emerging economy | 2822 | 5023 | 17.972036 | 56 |
millennium development goals | 2947 | 5227 | 17.970774 | 56 |
arid region of northwest china | 309 | 389 | 17.970382 | 79 |
the environmental kuznets curve | 1190 | 2137 | 17.970362 | 56 |
cross-border collaboration | 285 | 345 | 17.969679 | 83 |
provincial-level | 674 | 1111 | 17.969445 | 61 |
potential zones | 836 | 1438 | 17.969033 | 58 |
monetary policy regime | 357 | 480 | 17.968956 | 74 |
chinese investment | 528 | 817 | 17.968764 | 65 |
haze pollution | 806 | 1379 | 17.967396 | 58 |
debt sustainability | 491 | 744 | 17.966503 | 66 |
extension services | 1815 | 3318 | 17.964968 | 55 |
endogenous switching regression | 374 | 514 | 17.964950 | 73 |
clean development mechanism (cdm) | 786 | 1341 | 17.964476 | 59 |
a low-income country | 570 | 904 | 17.964158 | 63 |
united nations framework convention on climate change | 1228 | 2219 | 17.963685 | 55 |
northern ethiopia | 1124 | 2018 | 17.961893 | 56 |
rural south africa | 1046 | 1865 | 17.961030 | 56 |
inner mongolia, china | 1756 | 3220 | 17.959693 | 55 |
urban china | 1727 | 3168 | 17.959053 | 55 |
ekc hypothesis | 608 | 984 | 17.958869 | 62 |
potential source contribution | 511 | 788 | 17.958366 | 65 |
green technology innovation | 444 | 654 | 17.958035 | 68 |
the chinese economy | 1265 | 2298 | 17.957998 | 55 |
tax moral | 328 | 428 | 17.957936 | 77 |
congo basin | 866 | 1508 | 17.957901 | 57 |
china spallation neutron source | 421 | 609 | 17.956506 | 69 |
high-quality economic development | 335 | 442 | 17.955504 | 76 |
environmental kuznets | 1991 | 3652 | 17.955444 | 55 |
anti-money laundering (aml) | 288 | 354 | 17.954642 | 81 |
ecological civilization | 1161 | 2100 | 17.953950 | 55 |
birth attendance | 458 | 684 | 17.953109 | 67 |
environmental kuznets curve | 1952 | 3587 | 17.953024 | 54 |
us monetary policy | 397 | 563 | 17.952959 | 71 |
agricultural expansion | 1153 | 2086 | 17.952486 | 55 |
income country | 3822 | 6630 | 17.951600 | 58 |
magmatic activities | 609 | 991 | 17.950605 | 61 |
chinese economy | 1825 | 3363 | 17.950103 | 54 |
japan international cooperation agency (jica) | 289 | 357 | 17.949771 | 81 |
pearl river delta (prd) | 823 | 1430 | 17.947337 | 58 |
agro-ecological zone | 1101 | 1990 | 17.946604 | 55 |
developed and developing world | 539 | 851 | 17.945911 | 63 |
china family panel studies | 502 | 776 | 17.945659 | 65 |
recipient countries | 909 | 1607 | 17.944572 | 57 |
focus group discussions (fgds) | 1071 | 1934 | 17.943286 | 55 |
african economies | 789 | 1365 | 17.942083 | 58 |
potential source contribution function | 465 | 703 | 17.941774 | 66 |
china railway | 552 | 880 | 17.941231 | 63 |
millennium development goal | 3669 | 6438 | 17.940345 | 57 |
sustainable intensification | 945 | 1684 | 17.940231 | 56 |
northwest china | 7524 | 11487 | 17.940020 | 66 |
human resources for health | 693 | 1170 | 17.939802 | 59 |
the inner mongolia | 924 | 1642 | 17.939686 | 56 |
rural ethiopia | 674 | 1132 | 17.938309 | 60 |
forest degradation | 2023 | 3746 | 17.936840 | 54 |
sub-sahara africa | 770 | 1331 | 17.935919 | 58 |
mission in china | 526 | 830 | 17.935298 | 63 |
education in china | 1477 | 2739 | 17.934696 | 54 |
potential zone | 1025 | 1852 | 17.933857 | 55 |
local livelihoods | 655 | 1096 | 17.933689 | 60 |
farm house | 1900 | 3532 | 17.932670 | 54 |
lao pdr | 1281 | 2363 | 17.932137 | 54 |
nationally determined contribution | 742 | 1278 | 17.929981 | 58 |
institutional delivery | 646 | 1080 | 17.929787 | 60 |
clean development mechanism | 1231 | 2268 | 17.929541 | 54 |
systems strengthening | 540 | 862 | 17.928965 | 63 |
millennium development | 3709 | 6542 | 17.927054 | 57 |
china and the united states | 1135 | 2081 | 17.926510 | 55 |
bri countries | 239 | 271 | 17.926280 | 88 |
sdgs | 7693 | 11757 | 17.926210 | 65 |
developing-country | 382 | 543 | 17.925783 | 70 |
sustainability policy | 385 | 549 | 17.925672 | 70 |
tax compliance | 1023 | 1857 | 17.925369 | 55 |
rural households | 3699 | 6534 | 17.924881 | 57 |
lower-income countries | 467 | 715 | 17.923921 | 65 |
universal health coverage | 2384 | 4410 | 17.923663 | 54 |
rapid economic growth | 1994 | 3721 | 17.923223 | 54 |
middle income country | 630 | 1052 | 17.921876 | 60 |
energy consumption structure | 624 | 1040 | 17.921181 | 60 |
maternal and newborn health | 596 | 982 | 17.921116 | 61 |
universal health coverage (uhc) | 634 | 1061 | 17.920775 | 60 |
potential ecological risk index | 969 | 1753 | 17.919863 | 55 |
rural bangladesh | 1375 | 2565 | 17.918975 | 54 |
tax law | 1433 | 2678 | 17.918853 | 54 |
fccc | 1743 | 3269 | 17.918220 | 53 |
land use/cover change | 871 | 1554 | 17.917888 | 56 |
northern ghana | 1021 | 1861 | 17.917824 | 55 |
china coast | 719 | 1240 | 17.917189 | 58 |
health financing | 1020 | 1860 | 17.916857 | 55 |
cultural expansion | 1195 | 2215 | 17.914909 | 54 |
monetary transmission | 563 | 918 | 17.913458 | 61 |
off-farm income | 512 | 813 | 17.912164 | 63 |
bounds testing | 704 | 1213 | 17.911438 | 58 |
coast of china | 814 | 1442 | 17.911255 | 56 |
resource-poor countries | 655 | 1111 | 17.911160 | 59 |
secondary industry | 619 | 1036 | 17.911028 | 60 |
sustainable land management | 860 | 1538 | 17.910471 | 56 |
low-income setting | 955 | 1734 | 17.910287 | 55 |
public-private partnership project | 269 | 329 | 17.909897 | 82 |
clean development | 1298 | 2429 | 17.907922 | 53 |
wealth index | 1131 | 2096 | 17.907088 | 54 |
kuznets curve | 2230 | 4178 | 17.906967 | 53 |
guangzhou, china | 1789 | 3376 | 17.906530 | 53 |
tax morale | 297 | 383 | 17.905250 | 78 |
ecological risk index | 1274 | 2387 | 17.903732 | 53 |
china's urbanization | 377 | 541 | 17.902879 | 70 |
formal and informal sector | 362 | 511 | 17.902783 | 71 |
economic belt | 842 | 1508 | 17.902234 | 56 |
united states agency for international development | 408 | 604 | 17.901944 | 68 |
the coupling coordination | 559 | 917 | 17.900442 | 61 |
unidirectional causality | 985 | 1807 | 17.899217 | 55 |
urban sustainable development | 526 | 849 | 17.898722 | 62 |
reform and opening up | 657 | 1124 | 17.898087 | 58 |
middle east and north africa (mena) region | 544 | 887 | 17.897978 | 61 |
research in brazil | 357 | 503 | 17.896742 | 71 |
sdg targets | 277 | 347 | 17.896722 | 80 |
jordan university of science and technology | 242 | 282 | 17.896554 | 86 |
sustainable economic growth | 1238 | 2325 | 17.896217 | 53 |
small-scale farm | 1777 | 3374 | 17.895316 | 53 |
low-and middle-income countries (lmics) | 433 | 658 | 17.894762 | 66 |
china's provinces | 274 | 342 | 17.893806 | 80 |
income diversification | 456 | 706 | 17.893482 | 65 |
consumption structure | 982 | 1807 | 17.893279 | 54 |
structural decomposition analysis | 473 | 742 | 17.891846 | 64 |
low- and middle-income country | 400 | 592 | 17.890696 | 68 |
small-scale mining | 541 | 885 | 17.890131 | 61 |
china research | 434 | 662 | 17.890118 | 66 |
research in developing countries | 372 | 536 | 17.888251 | 69 |
northwest of china | 504 | 809 | 17.887067 | 62 |
policy sustainability | 423 | 641 | 17.886051 | 66 |
ardl bounds | 462 | 722 | 17.885579 | 64 |
rural electrification | 1527 | 2914 | 17.884355 | 52 |
central and western china | 346 | 485 | 17.884281 | 71 |
china experience | 498 | 798 | 17.883922 | 62 |
lithuania. | 2262 | 4288 | 17.883303 | 53 |
prevalence of stunting | 732 | 1293 | 17.883098 | 57 |
access to credit | 1547 | 2955 | 17.883090 | 52 |
a-share listed companies | 497 | 798 | 17.879699 | 62 |
potential ecological risk | 2167 | 4133 | 17.876105 | 52 |
rural uganda | 774 | 1388 | 17.875484 | 56 |
global sustainable development | 526 | 862 | 17.874165 | 61 |
monetary and fiscal policy | 543 | 898 | 17.874158 | 60 |
beijing-tianjin-hebei | 1368 | 2617 | 17.873325 | 52 |
sustainable economic development | 1360 | 2606 | 17.869880 | 52 |
cape town, south africa | 1742 | 3355 | 17.869338 | 52 |
china's coast | 411 | 623 | 17.869108 | 66 |
rural tanzania | 695 | 1225 | 17.869000 | 57 |
emergency obstetric care | 585 | 991 | 17.867785 | 59 |
pmtct | 1163 | 2210 | 17.867105 | 53 |
public–private partnerships (ppps) | 213 | 235 | 17.866907 | 91 |
sustainable land use | 1199 | 2285 | 17.866171 | 52 |
low-income countries | 6917 | 11170 | 17.864447 | 62 |
china earthquake | 586 | 996 | 17.863068 | 59 |
agro-ecological zones | 887 | 1639 | 17.862532 | 54 |
policy suggestions | 1701 | 3291 | 17.861143 | 52 |
guinea grass | 448 | 704 | 17.860390 | 64 |
central chile | 2588 | 4920 | 17.859939 | 53 |
farmers’ perception | 558 | 938 | 17.859885 | 59 |
corporate tax rate | 455 | 719 | 17.859833 | 63 |
sdg indicators | 214 | 238 | 17.859479 | 90 |
dietary diversity | 1807 | 3501 | 17.857621 | 52 |
china education | 499 | 814 | 17.856253 | 61 |
land use/land cover change | 758 | 1370 | 17.855777 | 55 |
spatial agglomeration | 828 | 1521 | 17.854418 | 54 |
reform in china | 873 | 1617 | 17.854400 | 54 |
millennium development goals (mdgs) | 831 | 1530 | 17.851533 | 54 |
latin america and the caribbean | 2155 | 4166 | 17.851195 | 52 |
southwestern china | 3026 | 5695 | 17.850096 | 53 |
poor countries | 2985 | 5627 | 17.849839 | 53 |
health systems strengthening | 450 | 713 | 17.849698 | 63 |
the pearl river delta | 2061 | 3996 | 17.849463 | 52 |
international developments | 666 | 1177 | 17.849281 | 57 |
nutrition transition | 733 | 1322 | 17.848609 | 55 |
rural household | 4379 | 7828 | 17.848252 | 56 |
psm-did | 293 | 390 | 17.847618 | 75 |
health system strengthening | 495 | 810 | 17.847280 | 61 |
lower-middle income | 478 | 774 | 17.846610 | 62 |
low-income settings | 771 | 1406 | 17.845980 | 55 |
developing and emerging countries | 262 | 330 | 17.845596 | 79 |
aid effectiveness | 622 | 1085 | 17.844805 | 57 |
sustainable development agenda | 470 | 758 | 17.844369 | 62 |
land use and land cover change | 1126 | 2165 | 17.841596 | 52 |
crustal growth | 1051 | 2008 | 17.841252 | 52 |
ardl approach | 585 | 1008 | 17.839958 | 58 |
sustainable agricultural development | 661 | 1173 | 17.839651 | 56 |
green total factor productivity (gtfp) | 223 | 258 | 17.838086 | 86 |
chinese cities | 3119 | 5888 | 17.837419 | 53 |
ecosystem service value | 872 | 1631 | 17.837392 | 53 |
southern ethiopia | 1630 | 3195 | 17.837126 | 51 |
policy suggestion | 1788 | 3504 | 17.836782 | 51 |
public-private partnerships (ppp) | 251 | 311 | 17.835902 | 81 |
developing nation | 8172 | 12834 | 17.835463 | 64 |
rural nepal | 495 | 816 | 17.835438 | 61 |
sustainable policies | 414 | 643 | 17.835090 | 64 |
system strengthening | 614 | 1075 | 17.833594 | 57 |
spring maize | 584 | 1010 | 17.833197 | 58 |
georgia tech | 958 | 1820 | 17.832719 | 53 |
sdg 6 | 297 | 402 | 17.832227 | 74 |
northern gulf of mexico | 1451 | 2849 | 17.830352 | 51 |
policy rule | 1334 | 2612 | 17.829518 | 51 |
international development | 7883 | 12536 | 17.828650 | 63 |
industrial structure upgrading | 293 | 395 | 17.828437 | 74 |
demographic and health survey data | 566 | 974 | 17.827974 | 58 |
fgds | 1448 | 2848 | 17.827135 | 51 |
the loess plateau | 3748 | 6943 | 17.826705 | 54 |
sustainable urbanization | 384 | 583 | 17.826488 | 66 |
sichuan province, china | 1186 | 2310 | 17.826180 | 51 |
rural revitalization | 745 | 1366 | 17.826117 | 55 |
ardl bounds test | 415 | 649 | 17.825662 | 64 |
rural india | 2513 | 4877 | 17.825024 | 52 |
rice farmers | 917 | 1740 | 17.824989 | 53 |
international cooperation | 9754 | 14672 | 17.824494 | 66 |
east asian summer monsoon | 1204 | 2350 | 17.824379 | 51 |
policy rate | 762 | 1405 | 17.823768 | 54 |
china national knowledge infrastructure | 4202 | 7657 | 17.823695 | 55 |
and developing countries | 10980 | 15963 | 17.823584 | 69 |
framework convention on climate change | 1504 | 2967 | 17.823480 | 51 |
the pearl river delta (prd) | 626 | 1108 | 17.823313 | 56 |
farming experience | 569 | 984 | 17.822222 | 58 |
non-timber forest products | 898 | 1702 | 17.821994 | 53 |
income-generating activities | 403 | 625 | 17.821879 | 64 |
private-public partnership | 306 | 423 | 17.821716 | 72 |
non-timber forest product | 1046 | 2020 | 17.821663 | 52 |
conditional cash transfer | 830 | 1555 | 17.821565 | 53 |
system generalized method of moment | 614 | 1083 | 17.821396 | 57 |
rhyzopertha dominica | 623 | 1103 | 17.820972 | 56 |
maternal health service | 954 | 1825 | 17.819839 | 52 |
inter-provincial | 637 | 1135 | 17.819051 | 56 |
emergency obstetric | 875 | 1656 | 17.818101 | 53 |
ecological security | 1662 | 3293 | 17.817502 | 50 |
alternative livelihood | 482 | 797 | 17.817326 | 60 |
middle east and north africa | 2385 | 4666 | 17.817134 | 51 |
shanghai, china | 4349 | 7912 | 17.815270 | 55 |
modern contraceptive use | 380 | 579 | 17.814574 | 66 |
land use land cover | 968 | 1861 | 17.814356 | 52 |
developing regions | 1746 | 3465 | 17.814101 | 50 |
rice farmer | 943 | 1808 | 17.813439 | 52 |
rhyzopertha | 625 | 1113 | 17.812631 | 56 |
public partnerships | 307 | 428 | 17.811165 | 72 |
community forest | 1254 | 2473 | 17.810764 | 51 |
pearl river delta | 2823 | 5462 | 17.810702 | 52 |
low-middle income | 571 | 996 | 17.809679 | 57 |
the northeast china | 417 | 660 | 17.809525 | 63 |
facility delivery | 422 | 671 | 17.808966 | 63 |
huang-huai-hai | 468 | 771 | 17.808264 | 61 |
mekong delta, vietnam | 385 | 592 | 17.808251 | 65 |
environmental kuznets curve (ekc) hypothesis | 443 | 717 | 17.807571 | 62 |
the panel data | 2395 | 4708 | 17.807487 | 51 |
yield gap | 874 | 1665 | 17.806579 | 52 |
education in developing countries | 408 | 642 | 17.806268 | 64 |
universiti putra malaysia | 727 | 1343 | 17.805695 | 54 |
poor farmers | 839 | 1590 | 17.804934 | 53 |
sustainable development (sd) | 647 | 1167 | 17.804722 | 55 |
community forestry | 679 | 1238 | 17.804387 | 55 |
national food security | 683 | 1247 | 17.804178 | 55 |
patagonia, argentina | 1207 | 2384 | 17.803636 | 51 |
chinese firms | 1738 | 3470 | 17.803070 | 50 |
healthy china | 318 | 453 | 17.802904 | 70 |
se china | 1021 | 1988 | 17.802885 | 51 |
lean development | 1314 | 2610 | 17.802533 | 50 |
regions of russia | 1701 | 3398 | 17.802355 | 50 |
yangtze river delta region | 639 | 1151 | 17.802293 | 56 |
resource endowment | 1169 | 2306 | 17.801806 | 51 |
india meteorological department (imd) | 337 | 493 | 17.801375 | 68 |
medical male circumcision | 401 | 629 | 17.801215 | 64 |
ecological protection | 1854 | 3704 | 17.799923 | 50 |
ecologically fragile | 527 | 905 | 17.799443 | 58 |
partnership projects | 399 | 626 | 17.797964 | 64 |
the middle east and north africa | 1850 | 3702 | 17.797012 | 50 |
bounds testing approach | 485 | 814 | 17.796578 | 60 |
the brics countries | 399 | 627 | 17.795467 | 64 |
green finance | 608 | 1087 | 17.795274 | 56 |
fiscal and monetary policy | 434 | 703 | 17.795189 | 62 |
low-income and middle-income countries (lmics) | 335 | 491 | 17.794553 | 68 |
hygiene (wash) | 605 | 1081 | 17.794262 | 56 |
least developed | 1512 | 3032 | 17.793975 | 50 |
non-state-owned enterprises | 430 | 695 | 17.793577 | 62 |
monetary and fiscal policies | 435 | 706 | 17.793350 | 62 |
modern contraceptive | 977 | 1904 | 17.792737 | 51 |
inner mongolia autonomous region | 671 | 1229 | 17.792597 | 55 |
poor farmer | 868 | 1666 | 17.792036 | 52 |
young child feeding | 588 | 1045 | 17.791465 | 56 |
demographic health survey | 741 | 1386 | 17.790925 | 53 |
demographic and health survey | 4842 | 8746 | 17.790482 | 55 |
business tax | 489 | 826 | 17.790354 | 59 |
tertiary industry | 668 | 1224 | 17.790320 | 55 |
urban expansion | 3520 | 6703 | 17.789931 | 53 |
and sub-saharan africa | 1020 | 2001 | 17.789648 | 51 |
tectonic activities | 787 | 1490 | 17.788752 | 53 |
public-private partnership projects | 224 | 269 | 17.787690 | 83 |
development agenda | 1856 | 3733 | 17.787418 | 50 |
multi-regional input-output | 452 | 746 | 17.787287 | 61 |
maternal health services | 845 | 1620 | 17.787100 | 52 |
infant and young child feeding | 560 | 986 | 17.786054 | 57 |
height-for-age z-score | 520 | 897 | 17.786000 | 58 |
child undernutrition | 394 | 620 | 17.785934 | 64 |
bangladesh demographic and health survey | 387 | 605 | 17.785582 | 64 |
deforestation rate | 670 | 1232 | 17.785534 | 54 |
height-for-age | 1489 | 2999 | 17.785465 | 50 |
china spallation neutron source (csns) | 302 | 425 | 17.785371 | 71 |
cooking fuel | 746 | 1402 | 17.785047 | 53 |
off-farm | 1641 | 3310 | 17.784763 | 50 |
developing cities | 484 | 818 | 17.784405 | 59 |
and hygiene (wash) | 588 | 1050 | 17.783651 | 56 |
skilled birth attendants | 394 | 621 | 17.783417 | 63 |
united states and china | 970 | 1900 | 17.782452 | 51 |
rural areas of china | 464 | 775 | 17.781936 | 60 |
solar home system | 438 | 718 | 17.781292 | 61 |
climate change in china | 278 | 377 | 17.780832 | 74 |
china and india | 2551 | 5061 | 17.780553 | 50 |
cdm project | 420 | 679 | 17.780182 | 62 |
farm activities | 699 | 1301 | 17.780092 | 54 |
the yrd | 521 | 903 | 17.779232 | 58 |
cookstoves | 591 | 1060 | 17.778553 | 56 |
system generalized method of moments | 543 | 953 | 17.777739 | 57 |
maize yields | 905 | 1762 | 17.777663 | 51 |
sustainable development indicator | 403 | 643 | 17.777422 | 63 |
and foreign direct investment | 1329 | 2679 | 17.777113 | 50 |
soil fertility management | 578 | 1032 | 17.776756 | 56 |
maxent model | 893 | 1737 | 17.776135 | 51 |
mann–kendall test | 522 | 907 | 17.776079 | 58 |
informal workers | 469 | 789 | 17.775967 | 59 |
guinea pig model | 1172 | 2348 | 17.774782 | 50 |
northeast of china | 507 | 875 | 17.773328 | 58 |
effectiveness of monetary policy | 306 | 437 | 17.772425 | 70 |
resource-based cities | 340 | 509 | 17.771813 | 67 |
pilot cities | 313 | 452 | 17.771274 | 69 |
coordination degree | 870 | 1693 | 17.769046 | 51 |
conservation agriculture (ca) | 513 | 891 | 17.768641 | 58 |
income generation | 1450 | 2946 | 17.768561 | 49 |
informal worker | 485 | 829 | 17.767350 | 59 |
performance-based financing | 203 | 233 | 17.767080 | 87 |
south china sea. | 2580 | 5150 | 17.766961 | 50 |
endogenous switching | 458 | 769 | 17.766880 | 60 |
sustainable urban development | 1830 | 3723 | 17.766853 | 49 |
china and the usa | 421 | 687 | 17.766813 | 61 |
stochastic impacts by regression on population | 246 | 316 | 17.766568 | 78 |
nutrition security | 996 | 1976 | 17.765588 | 50 |
cookstove | 703 | 1323 | 17.763538 | 53 |
expanded program on immunization | 388 | 616 | 17.763054 | 63 |
household survey data | 1184 | 2390 | 17.762744 | 50 |
yield gaps | 475 | 809 | 17.762728 | 59 |
sbm model | 503 | 872 | 17.762348 | 58 |
sustainable land | 2886 | 5715 | 17.761351 | 50 |
the chinese government | 5320 | 9570 | 17.760947 | 56 |
sub saharan africa | 679 | 1271 | 17.760609 | 53 |
rural kenya | 684 | 1283 | 17.759726 | 53 |
southern chile | 2118 | 4303 | 17.759423 | 49 |
chinese firm | 1846 | 3770 | 17.759367 | 49 |
poverty reduction | 4806 | 8829 | 17.758970 | 54 |
northeast china | 8698 | 13925 | 17.758804 | 62 |
east china sea (ecs) | 647 | 1200 | 17.758571 | 54 |
global civil society | 422 | 693 | 17.758173 | 61 |
low-middle income countries | 398 | 640 | 17.757998 | 62 |
industrial upgrading | 570 | 1026 | 17.757664 | 56 |
statistical yearbook | 749 | 1432 | 17.757426 | 52 |
africa countries | 447 | 749 | 17.757416 | 60 |
low and middle-income countries (lmics) | 359 | 555 | 17.757073 | 65 |
zero hunger | 353 | 542 | 17.757031 | 65 |
fully modified ordinary least square | 518 | 909 | 17.756552 | 57 |
national family health survey | 823 | 1600 | 17.756328 | 51 |
panel threshold | 530 | 937 | 17.755030 | 57 |
hebei region | 869 | 1705 | 17.754710 | 51 |
poor households | 1763 | 3613 | 17.754640 | 49 |
middle income | 5204 | 9433 | 17.754499 | 55 |
provincial level | 1941 | 3969 | 17.754297 | 49 |
developing countries in asia | 326 | 485 | 17.753608 | 67 |
arid northwest china | 215 | 258 | 17.753558 | 83 |
the united states and china | 922 | 1825 | 17.753488 | 51 |
hiv services | 887 | 1747 | 17.753120 | 51 |
green innovation | 1198 | 2434 | 17.752694 | 49 |
summer maize | 970 | 1933 | 17.752638 | 50 |
low- and middle-income countries | 10946 | 16459 | 17.751856 | 67 |
nutrition-sensitive | 348 | 533 | 17.751777 | 65 |
state-owned enterprises (soes) | 881 | 1735 | 17.751673 | 51 |
antenatal care visit | 716 | 1362 | 17.751644 | 53 |
microcredit | 888 | 1751 | 17.751398 | 51 |
livelihood strategy | 404 | 656 | 17.751379 | 62 |
after china | 566 | 1021 | 17.751166 | 55 |
income-generating | 715 | 1361 | 17.750079 | 53 |
artisanal and small-scale mining | 310 | 452 | 17.750009 | 69 |
highlands of ethiopia | 428 | 710 | 17.749985 | 60 |
republic of serbia | 876 | 1726 | 17.749456 | 51 |
province-level | 464 | 791 | 17.749397 | 59 |
it in china | 619 | 1143 | 17.749174 | 54 |
central china | 5368 | 9698 | 17.748315 | 55 |
dhaka, bangladesh | 1070 | 2160 | 17.748080 | 50 |
the republic of serbia | 734 | 1406 | 17.747921 | 52 |
lower-middle income countries | 312 | 457 | 17.747514 | 68 |
reducing poverty | 1010 | 2028 | 17.747350 | 50 |
central argentina | 983 | 1968 | 17.747269 | 50 |
land use/land cover (lulc) | 687 | 1300 | 17.746593 | 53 |
poor household | 1904 | 3912 | 17.746574 | 49 |
children in china | 703 | 1337 | 17.745951 | 53 |
rural house | 4598 | 8576 | 17.744957 | 54 |
china fir | 414 | 681 | 17.744896 | 61 |
expansionary monetary policy | 311 | 456 | 17.743756 | 68 |
cdm projects | 349 | 538 | 17.743657 | 65 |
facility-based | 1880 | 3871 | 17.743287 | 49 |
china study | 379 | 604 | 17.743181 | 63 |
multiple indicator cluster survey | 429 | 716 | 17.741664 | 60 |
food and nutrition security | 818 | 1603 | 17.741143 | 51 |
newborn health | 905 | 1801 | 17.740044 | 50 |
pollution haven | 453 | 771 | 17.739619 | 59 |
rural ghana | 460 | 787 | 17.739259 | 58 |
arid regions of china | 240 | 310 | 17.738523 | 77 |
national cooperation | 9925 | 15456 | 17.738495 | 64 |
coastal areas of china | 306 | 447 | 17.738174 | 68 |
pmtc | 1166 | 2384 | 17.738171 | 49 |
southwest china | 7022 | 11998 | 17.738088 | 59 |
green economic | 519 | 922 | 17.737645 | 56 |
the east asian summer monsoon | 794 | 1552 | 17.737264 | 51 |
household welfare | 621 | 1156 | 17.737102 | 54 |
kumasi | 807 | 1582 | 17.736858 | 51 |
voluntary medical male circumcision | 321 | 480 | 17.735468 | 67 |
the yangtze river delta region | 507 | 896 | 17.735167 | 57 |
india and china | 1558 | 3229 | 17.734767 | 48 |
demographic surveillance | 876 | 1741 | 17.734640 | 50 |
small-scale gold mining | 403 | 661 | 17.734192 | 61 |
female sex workers (fsws) | 653 | 1232 | 17.733649 | 53 |
latin america and the caribbean (lac) | 356 | 557 | 17.733321 | 64 |
smallholder dairy | 401 | 657 | 17.733063 | 61 |
child stunting | 345 | 533 | 17.732930 | 65 |
government of india | 2665 | 5399 | 17.732902 | 49 |
south of china | 571 | 1044 | 17.732889 | 55 |
sovereign default | 425 | 711 | 17.732836 | 60 |
informal economies | 261 | 354 | 17.732754 | 74 |
fmols | 707 | 1357 | 17.732495 | 52 |
debt structure | 301 | 438 | 17.732491 | 69 |
access to market | 772 | 1507 | 17.731439 | 51 |
lulc | 3108 | 6198 | 17.731220 | 50 |
2030 sustainable development goals | 269 | 371 | 17.730940 | 73 |
china city | 305 | 447 | 17.730939 | 68 |
northwest ethiopia | 1244 | 2565 | 17.730695 | 48 |
developing economies | 4544 | 8555 | 17.730390 | 53 |
brics economies | 219 | 270 | 17.730254 | 81 |
made in china | 763 | 1488 | 17.729605 | 51 |
length-for-age | 458 | 788 | 17.728075 | 58 |
health extension | 465 | 804 | 17.727959 | 58 |
standardized precipitation evapotranspiration index | 705 | 1358 | 17.725597 | 52 |
wealth status | 601 | 1118 | 17.725474 | 54 |
nw china | 1766 | 3677 | 17.725341 | 48 |
dar es salaam, tanzania | 811 | 1602 | 17.725279 | 51 |
western cape province | 1010 | 2054 | 17.725197 | 49 |
fdi in china | 203 | 240 | 17.724561 | 85 |
crop diversification | 768 | 1504 | 17.724511 | 51 |
catastrophic health expenditure | 500 | 886 | 17.724294 | 56 |
kampala, uganda | 913 | 1836 | 17.724076 | 50 |
timber forest | 1331 | 2764 | 17.723983 | 48 |
sumatra, indonesia | 1199 | 2476 | 17.723965 | 48 |
corporate taxes | 328 | 499 | 17.723579 | 66 |
middle east and north africa region | 380 | 614 | 17.723326 | 62 |
china's manufacturing industry | 206 | 246 | 17.723166 | 84 |
sustainable rural development | 553 | 1009 | 17.722650 | 55 |
demographic health | 768 | 1506 | 17.722269 | 51 |
poverty alleviation | 3963 | 7673 | 17.721485 | 52 |
china trade | 540 | 980 | 17.721000 | 55 |
cash transfer | 1676 | 3501 | 17.720514 | 48 |
anc visit | 688 | 1323 | 17.720286 | 52 |
songnen plain | 432 | 733 | 17.719397 | 59 |
mozambique. | 1561 | 3264 | 17.718667 | 48 |
antenatal care visits | 535 | 970 | 17.718426 | 55 |
the industrial structure | 1144 | 2364 | 17.716937 | 48 |
sen’s slope | 462 | 803 | 17.716352 | 58 |
geo-accumulation | 948 | 1924 | 17.716333 | 49 |
sustainable development of agriculture | 518 | 932 | 17.716244 | 56 |
cash transfer program | 612 | 1150 | 17.716012 | 53 |
amhara | 1156 | 2392 | 17.715944 | 48 |
small-scale fisheries | 959 | 1951 | 17.714554 | 49 |
anc visits | 533 | 968 | 17.714036 | 55 |
ardl model | 696 | 1350 | 17.709755 | 52 |
cash transfers | 1099 | 2273 | 17.709745 | 48 |
southeast brazil | 1140 | 2365 | 17.709551 | 48 |
delhi, india | 1950 | 4084 | 17.709399 | 48 |
land use/cover | 1491 | 3132 | 17.709300 | 48 |
energy sustainable development | 468 | 821 | 17.708108 | 57 |
system gmm | 775 | 1535 | 17.708026 | 50 |
pacific subtropical high | 731 | 1433 | 17.707836 | 51 |
enterprise survey | 490 | 872 | 17.707778 | 56 |
south of brazil | 957 | 1955 | 17.706979 | 49 |
household head | 1928 | 4046 | 17.706454 | 48 |
southern brazil. | 3305 | 6623 | 17.706397 | 50 |
construction land | 1651 | 3476 | 17.706261 | 47 |
public/private partnership | 318 | 483 | 17.705365 | 66 |
policy reaction function | 236 | 309 | 17.704951 | 76 |
mexico border | 1634 | 3443 | 17.704845 | 47 |
the east china sea | 2663 | 5476 | 17.704379 | 49 |
new mexico, usa | 640 | 1224 | 17.703822 | 52 |
prevention of mother-to-child transmission | 1019 | 2100 | 17.703697 | 49 |
sustainability indicators | 1727 | 3640 | 17.703475 | 47 |
nationally determined contributions | 519 | 942 | 17.703020 | 55 |
accra, ghana | 772 | 1533 | 17.702558 | 50 |
development sustainable | 1513 | 3191 | 17.702415 | 47 |
punjab province | 703 | 1373 | 17.701561 | 51 |
georgia, usa | 846 | 1706 | 17.701202 | 50 |
policy rules | 883 | 1792 | 17.700709 | 49 |
brazil, russia, india, china and south africa | 299 | 443 | 17.700598 | 67 |
sustainable development indicators | 352 | 560 | 17.700544 | 63 |
economic development of china | 237 | 312 | 17.700430 | 76 |
geographical detector | 412 | 696 | 17.700374 | 59 |
formal and informal sectors | 279 | 400 | 17.700267 | 70 |
community health volunteer | 334 | 520 | 17.700180 | 64 |
east asian monsoon | 982 | 2020 | 17.700088 | 49 |
western regions | 2765 | 5678 | 17.699809 | 49 |
mdgs | 1216 | 2548 | 17.699682 | 48 |
land use and land cover (lulc) | 722 | 1419 | 17.699631 | 51 |
nairobi, kenya | 1094 | 2275 | 17.699523 | 48 |
precipitation in china | 246 | 331 | 17.698272 | 74 |
china fdi | 185 | 210 | 17.697936 | 88 |
northern china | 9851 | 15666 | 17.697690 | 63 |
inland river basin | 325 | 501 | 17.697362 | 65 |
ppps | 1898 | 4008 | 17.695845 | 47 |
internal hazard | 307 | 462 | 17.695398 | 66 |
monetary policy decisions | 250 | 340 | 17.695243 | 74 |
agro-pastoral | 918 | 1879 | 17.694848 | 49 |
international development agencies | 300 | 447 | 17.694409 | 67 |
wind energy potential | 767 | 1529 | 17.694116 | 50 |
rural farmers | 518 | 945 | 17.693899 | 55 |
geo-accumulation index | 796 | 1597 | 17.693810 | 50 |
forest loss | 1130 | 2364 | 17.693592 | 48 |
the heihe river | 604 | 1147 | 17.693567 | 53 |
public-private partnership (ppp) projects | 175 | 192 | 17.693419 | 91 |
energy access | 1053 | 2190 | 17.693348 | 48 |
farmers’ perceptions | 387 | 642 | 17.693092 | 60 |
sw china | 1033 | 2145 | 17.692910 | 48 |
un sustainable development goals (sdgs) | 279 | 402 | 17.692803 | 69 |
rural income | 563 | 1052 | 17.691529 | 54 |
heihe river | 863 | 1756 | 17.690766 | 49 |
enabling environment | 1293 | 2732 | 17.690715 | 47 |
potential source contribution function (pscf) | 309 | 468 | 17.690151 | 66 |
hubei province, china | 994 | 2061 | 17.688592 | 48 |
sustainable development strategies | 446 | 780 | 17.688409 | 57 |
rural malawi | 523 | 960 | 17.688341 | 54 |
typical steppe | 476 | 850 | 17.688181 | 56 |
child growth | 1310 | 2774 | 17.687843 | 47 |
planting area | 1290 | 2732 | 17.686374 | 47 |
gauteng | 1521 | 3237 | 17.686119 | 47 |
middle stone age | 566 | 1063 | 17.685463 | 53 |
sustainable economic | 3247 | 6592 | 17.685463 | 49 |
northern iran | 1586 | 3378 | 17.685199 | 47 |
standardized precipitation evapotranspiration index (spei) | 555 | 1038 | 17.683996 | 53 |
maize farmers | 304 | 459 | 17.683611 | 66 |
china's trade | 282 | 411 | 17.683478 | 69 |
the ekc hypothesis | 407 | 692 | 17.683444 | 59 |
china vi | 742 | 1480 | 17.683317 | 50 |
teaching notes | 705 | 1393 | 17.683069 | 51 |
rural farmer | 539 | 1001 | 17.682817 | 54 |
international development cooperation | 260 | 364 | 17.682787 | 71 |
asian developing countries | 312 | 477 | 17.682515 | 65 |
agricultural growth | 717 | 1422 | 17.682251 | 50 |
state-owned enterprises | 2841 | 5871 | 17.682086 | 48 |
mobile money | 465 | 828 | 17.681110 | 56 |
sustainable development strategy | 626 | 1208 | 17.680838 | 52 |
13th five-year plan | 365 | 597 | 17.680169 | 61 |
west ethiopia | 2267 | 4785 | 17.679803 | 47 |
rain-fed agriculture | 397 | 671 | 17.678680 | 59 |
bushmeat | 545 | 1018 | 17.678273 | 54 |
gauteng province | 721 | 1435 | 17.678084 | 50 |
kwazulu-natal province | 569 | 1075 | 17.677976 | 53 |
open defecation | 459 | 816 | 17.677134 | 56 |
groundwater potential map | 246 | 336 | 17.676192 | 73 |
r. dominica | 412 | 707 | 17.675756 | 58 |
china’s belt and road initiative | 262 | 370 | 17.675748 | 71 |
amhara region | 770 | 1553 | 17.675550 | 50 |
public-private | 8368 | 14075 | 17.675505 | 59 |
ecological conservation | 789 | 1598 | 17.675351 | 49 |
agricultural technologies | 738 | 1478 | 17.674863 | 50 |
non-timber | 1278 | 2723 | 17.674795 | 47 |
a-share market | 327 | 513 | 17.674661 | 64 |
rapid urbanization | 4896 | 9342 | 17.674500 | 52 |
jilin province, china | 469 | 841 | 17.674206 | 56 |
sustainability indicator | 1891 | 4041 | 17.673978 | 47 |
china's loess plateau | 219 | 281 | 17.672323 | 78 |
smallholder | 10930 | 17054 | 17.671908 | 64 |
tropical developing countries | 268 | 384 | 17.671302 | 70 |
household wealth | 1268 | 2706 | 17.671271 | 47 |
china export | 261 | 369 | 17.671176 | 71 |
beijing-tianjin-hebei region | 694 | 1377 | 17.670958 | 50 |
pm2.5 pollution | 965 | 2015 | 17.670751 | 48 |
china mobile | 366 | 603 | 17.670590 | 61 |
agroforests | 352 | 571 | 17.670583 | 62 |
rice farm | 1652 | 3549 | 17.669292 | 47 |
northern scs | 374 | 622 | 17.669018 | 60 |
sustainable policy | 314 | 486 | 17.668171 | 65 |
nardl | 535 | 1001 | 17.667488 | 53 |
eastern ethiopia | 782 | 1589 | 17.667347 | 49 |
yangtze river basin | 1199 | 2557 | 17.666943 | 47 |
yellow river basin | 1165 | 2480 | 17.666827 | 47 |
autoregressive distributed lag model | 547 | 1030 | 17.666775 | 53 |
non-communicable diseases (ncds) | 1244 | 2659 | 17.666689 | 47 |
china's stock market | 343 | 552 | 17.666495 | 62 |
kibale national park | 350 | 568 | 17.666361 | 62 |
financial action task force | 266 | 381 | 17.666199 | 70 |
china health and nutrition survey (chns) | 283 | 418 | 17.666040 | 68 |
gtfp | 293 | 440 | 17.665995 | 67 |
urban household | 1290 | 2764 | 17.665586 | 47 |
hydrocarbon generation potential | 459 | 822 | 17.665484 | 56 |
chinese policy | 456 | 815 | 17.665335 | 56 |
land use land cover (lulc) | 436 | 768 | 17.665180 | 57 |
health and demographic surveillance | 531 | 993 | 17.665025 | 53 |
chinese manufacturing | 784 | 1596 | 17.664947 | 49 |
public health facilities | 1052 | 2224 | 17.664623 | 47 |
java, indonesia | 3267 | 6700 | 17.664058 | 49 |
rural poverty | 1255 | 2689 | 17.663214 | 47 |
nighttime light data | 363 | 599 | 17.663155 | 61 |
western kenya | 1926 | 4138 | 17.662754 | 47 |
low- and middle-income | 11661 | 17911 | 17.662629 | 65 |
income generating | 490 | 897 | 17.662478 | 55 |
the mekong delta | 820 | 1684 | 17.662163 | 49 |
birth attendant | 1372 | 2953 | 17.661760 | 46 |
value-added tax (vat) | 233 | 312 | 17.661657 | 75 |
western pacific subtropical high | 478 | 869 | 17.661613 | 55 |
niger delta | 2065 | 4426 | 17.661425 | 47 |
renewable energy consumption | 1240 | 2658 | 17.661323 | 47 |
informal settlements | 1563 | 3373 | 17.661185 | 46 |
credit access | 511 | 948 | 17.660646 | 54 |
community health volunteers | 308 | 475 | 17.660522 | 65 |
extension service | 2190 | 4681 | 17.660307 | 47 |
foreign direct investment (fdi) | 4108 | 8153 | 17.660054 | 50 |
per capita gdp | 1442 | 3111 | 17.659871 | 46 |
different regions in china | 351 | 573 | 17.659043 | 61 |
middle- and low-income countries | 299 | 456 | 17.656940 | 66 |
climate-smart | 760 | 1547 | 17.656255 | 49 |
africa and asia | 1862 | 4021 | 17.655441 | 46 |
supportive supervision | 455 | 818 | 17.654895 | 56 |
formal recycling | 281 | 417 | 17.653863 | 67 |
guinea-pig ventricular myocyte | 270 | 393 | 17.653422 | 69 |
household air pollution | 555 | 1058 | 17.652963 | 52 |
alleviate poverty | 731 | 1481 | 17.652547 | 49 |
nepal earthquake | 407 | 706 | 17.652045 | 58 |
green credit | 268 | 389 | 17.652041 | 69 |
eastern south america | 508 | 946 | 17.651867 | 54 |
clean cooking | 312 | 487 | 17.651031 | 64 |
solar home systems | 330 | 528 | 17.650567 | 63 |
black soil region | 322 | 510 | 17.649943 | 63 |
regions of ukraine | 464 | 842 | 17.649904 | 55 |
informal job | 198 | 243 | 17.648734 | 81 |
bogotá, colombia | 783 | 1609 | 17.648714 | 49 |
sen's slope | 399 | 689 | 17.648002 | 58 |
maize production | 1812 | 3932 | 17.647953 | 46 |
congo (drc) | 1051 | 2243 | 17.647951 | 47 |
china fusion engineering test reactor | 319 | 504 | 17.647497 | 63 |
post-2015 | 541 | 1028 | 17.647287 | 53 |
gangetic plains | 862 | 1799 | 17.647154 | 48 |
tropical dry forest | 1252 | 2707 | 17.646862 | 46 |
the yellow river basin | 939 | 1982 | 17.646635 | 47 |
the yangtze river basin | 884 | 1852 | 17.646468 | 48 |
under-five mortality | 650 | 1292 | 17.645610 | 50 |
international donor | 811 | 1679 | 17.645581 | 48 |
value added tax (vat) | 251 | 354 | 17.644695 | 71 |
the taylor rule | 283 | 424 | 17.644675 | 67 |
south-central chile | 386 | 660 | 17.644480 | 58 |
artisanal mining | 359 | 597 | 17.644442 | 60 |
northern tanzania | 870 | 1821 | 17.644348 | 48 |
hiv self-testing | 422 | 745 | 17.644255 | 57 |
states of india | 1446 | 3147 | 17.644192 | 46 |
west and central africa | 720 | 1462 | 17.644095 | 49 |
addis ababa, ethiopia | 1100 | 2362 | 17.644064 | 47 |
khyber pakhtunkhwa | 1056 | 2260 | 17.643802 | 47 |
tenure security | 496 | 922 | 17.643658 | 54 |
hiv care and treatment | 413 | 724 | 17.643590 | 57 |
china economic development | 191 | 230 | 17.643395 | 83 |
dynamic ordinary least square | 455 | 824 | 17.643285 | 55 |
indian states | 1290 | 2799 | 17.643122 | 46 |
sustainable development challenges | 196 | 240 | 17.642891 | 82 |
income generating activities | 285 | 429 | 17.642718 | 66 |
democratic republic of congo | 2355 | 5055 | 17.642716 | 47 |
kampala | 1518 | 3310 | 17.641996 | 46 |
east china sea | 3762 | 7646 | 17.641365 | 49 |
maldives | 952 | 2020 | 17.640345 | 47 |
the northern china | 338 | 550 | 17.640189 | 61 |
beijing, china | 5148 | 9893 | 17.639382 | 52 |
nighttime light | 913 | 1931 | 17.637304 | 47 |
minimum dietary diversity | 321 | 512 | 17.637185 | 63 |
formal credit | 431 | 770 | 17.636761 | 56 |
sustainable forest management | 1923 | 4190 | 17.636729 | 46 |
southern south america | 1247 | 2712 | 17.636095 | 46 |
kendall test | 1859 | 4057 | 17.636019 | 46 |
chinese science | 531 | 1011 | 17.635962 | 53 |
chinese government | 6530 | 11922 | 17.635911 | 55 |
heihe river basin | 653 | 1307 | 17.635740 | 50 |
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